Статті в журналах: "Interaction analysis in education"

1

Kagan, Dona M., and Donald J. Grandgenett. "Personality and interaction analysis." Research in Education 37, no. 1 (May 1987): 13–24. http://dx.doi.org/10.1177/003452378703700102.

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2

Jordan, Brigitte, and Austin Henderson. "Interaction Analysis: Foundations and Practice." Journal of the Learning Sciences 4, no. 1 (January 1995): 39–103. http://dx.doi.org/10.1207/s15327809jls0401_2.

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3

Offor, Patrick, and Simon Cleveland. "Ontological Analysis of An ERP Implementation Success and Education." International Journal of Smart Education and Urban Society 9, no. 3 (July 2018): 52–67. http://dx.doi.org/10.4018/ijseus.2018070105.

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Enterprise resource planning (ERP) implementations are plagued by high failure rates. Extant literature has proposed a myriad of critical success factors that contribute to successful ERP implementations, but there is still a gap in understanding the interaction of the complex internal subsystems that play a role in such successes. This study presents an ontological analysis of several subsystems and their interaction at the GCSS-Army ERP implementation. It leverages the system thinking theory and a novel analogous example to explain the interactions and properties of these subsystems.

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4

Le, Thu, Daniel Bolt, Eric Camburn, Peter Goff, and Karl Rohe. "Latent Factors in Student–Teacher Interaction Factor Analysis." Journal of Educational and Behavioral Statistics 42, no. 2 (January 6, 2017): 115–44. http://dx.doi.org/10.3102/1076998616676407.

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Classroom interactions between students and teachers form a two-way or dyadic network. Measurements such as days absent, test scores, student ratings, or student grades can indicate the “quality” of the interaction. Together with the underlying bipartite graph, these values create a valued student–teacher dyadic interaction network. To study the broad structure of these values, we propose using interaction factor analysis (IFA), a recently developed statistical technique that can be used to investigate the hidden factors underlying the quality of student–teacher interactions. Our empirical study indicates there are latent teacher (i.e., teaching style) and student (i.e., preference for teaching style) types that influence the quality of interactions. Students and teachers of the same type tend to have more positive interactions, and those of differing types tend to have more negative interactions. IFA has the advantage of traditional factor analysis in that the types are not presupposed; instead, the types are identified by IFA and can be interpreted in post hoc analysis. Whereas traditional factor analysis requires one to observe all interactions, IFA performs well even when only a small fraction of potential interactions are actually observed.

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5

Denisenkova, N. N. "Politological Analysis of Interaction of Authority and Education." RUDN Journal of Political Science, no. 4 (December 15, 2016): 7–18. http://dx.doi.org/10.22363/2313-1438-2016-4-7-18.

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In the article is presented the politological analysis of the interaction of authority and education in Russian society to identify the understanding of relations among authority structures and education in the system of state regulation. This interaction is defined as a scientific definition and as a mechanism for the practical implementation of modern upgrades in the field of education in Russia. This approach allowed us to form a fairly complete representation of the possible forms and methods of the Russian authority influence on the educational process in the context of a comprehensive modernization of society.

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6

Yim, Taekkyun. "Analysis of Educational Interaction Types for Literacy Education." Korean Association for the Study of Religious Education 69 (May 30, 2022): 53–79. http://dx.doi.org/10.58601/kjre.2022.05.30.04.

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7

Navaz, Abdul Majeed Mohamed. "Developing Interaction in ESL Classes: An Investigation of Teacher-Student Interaction of Teacher Trainees in a Sri Lankan University." International Journal of Learning, Teaching and Educational Research 20, no. 2 (February 28, 2021): 174–96. http://dx.doi.org/10.26803/ijlter.20.2.10.

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This study examines the possibility of using of IRF (Initiation-Response-Follow-up) sequence of teacher-student interaction in Sri Lankan ESL (English as a Second Language) classes for developing longer interactional exchanges which are believed to be useful for language development. Usually, in Sri Lankan ESL classes, teachers ask more display questions and a few referential questions. As a result, teacher-student interaction occurs only occasionally and they follow the traditional IRF pattern with an evaluation at the third move. Teachers could develop longer interactional exchanges by giving follow-up questions or prompts at the third move of the IRF sequence so that students respond, elaborate, explain or prolong their responses. This study examines how the teacher trainees on their teaching practice of a TESL degree programme at a university interacted with their students in ESL classes and how they changed their pattern of interaction to sustain more student interaction. Using lecture discourse data as the basis of the analysis, this study evaluated the changes after an intervention that focussed on training the teacher trainees in developing longer interactional episodes. The results revealed that there was only a slight improvement in the way teacher trainees maintained interactions in the lessons after the intervention. Hence, this study enlightens the possibility of utilizing interaction for language development through intensive teacher training.

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8

Potmenskaya, E. V. ,., та V. A. Yakimenko. "ВЗАИМОДЕЙСТВИЕ ДЕТСКОГО САДА И СЕМЬИ В УСЛОВИЯХ РЕАЛИЗАЦИИ ФЕДЕРАЛЬНОЙ ОБРАЗОВАТЕЛЬНОЙ ПРОГРАММЫ ДОШКОЛЬНОГО ОБРАЗОВАНИЯ". Novye issledovania, № 2(78) (2024): 35–41. http://dx.doi.org/10.46742/2949-5377-2024-78-2-35-41.

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The article is devoted to the issue of organizing interaction between kindergarten and family in the modern legal field. The essence of the concept of “interaction” is indicated. An analysis of modern features of interaction between the teaching staff of a kindergarten and the family was carried out. The experience of organizing the interaction of a kindergarten in the context of the implementation of the federal educational program for preschool education is systematized.

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9

Rafid, Rahmad, and Farizal Khusnul Khotimah. "Interaction analysis on social-education of Indonesian school students: A literacy activity." Journal of Social, Humanity, and Education 1, no. 4 (August 25, 2021): 269–80. http://dx.doi.org/10.35912/jshe.v1i4.527.

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Abstract Purpose: The purpose of this study is to analyze the socio-educational interactions between teachers and students. This article also looks at a literacy activity utilized by the teachers and students and their interaction patterns. Research methodology: This research applied a naturalistic approach and descriptive qualitative research design. The data were collected through observation, interviews, and documentation. The data then were analyzed descriptively using the Miles and Huberman analysis model, namely data condensation, data presentation, and concluding. Results: The research results show that to improve student literacy, there were two patterns of interaction: first, a one-way interaction pattern centered on the teacher as a facilitator, corrector, evaluator in literacy activities: second, a multi-directional interaction pattern occurred. Literacy activities aim to train the learners’ ability in reading, understanding and commenting. During the core activities, several aspects of the interactions occur between teachers and students, such as conveying information, explaining, motivating, and proposing to students. At the closing stage of literacy, several aspects of the interaction between teachers and students occur. Making summaries and reading about the literacy activities have provided directions for further literacy activities and conducting evaluations that have been carried out. Limitations: There are limitations to the researcher, so this research is limited to one school only with the object of research on all students and teachers assigned to literacy activities at SMA Negeri 1 Latambaga. Contribution: The study is expected to assist the schools in monitoring the literacy activities and developing student literacy, whereas, for students, this study is expected to improve their literacy and broaden their insights about technological and scientific developments.

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10

Gunawardena, Charlotte N., Constance A. Lowe, and Terry Anderson. "Analysis of a Global Online Debate and the Development of an Interaction Analysis Model for Examining Social Construction of Knowledge in Computer Conferencing." Journal of Educational Computing Research 17, no. 4 (December 1997): 397–431. http://dx.doi.org/10.2190/7mqv-x9uj-c7q3-nrag.

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This study attempts to find appropriate interaction analysis/content analysis techniques that assist in examining the negotiation of meaning and co-construction of knowledge in collaborative learning environments facilitated by computer conferencing. The authors review strengths and shortcomings of existing interaction analysis techniques and propose a new model based on grounded theory building for analyzing the quality of CMC interactions and learning experiences. This new Interaction Analysis Model for Examining Social Construction of Knowledge in Computer Conferencing was developed after proposing a new definition of “interaction” for the CMC context and after analyzing interactions that occurred in a Global Online Debate. The application of the new model for analysis of collaborative construction of knowledge in the online debate and in a subsequent computer conference are discussed and future research suggested.

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11

Ailincai, Rodica, François-Xavier Bernard, and Annick Weil-Barais. "Genesis of Two Educational Interaction Analysis Models in an Informal Educational Setting." American Journal of Educational Research 3, no. 7 (July 4, 2015): 929–43. http://dx.doi.org/10.12691/education-3-7-18.

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12

Krzyżak, Joanna, and Jolanta Walas-Trębacz. "Challenges in remote education: analysis of social interaction, motivation and engagement." e-mentor 104, no. 2 (May 2024): 44–53. http://dx.doi.org/10.15219/em104.1654.

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This article analyses selected challenges of remote education, focusing on the impact of the COVID-19 pandemic. It is divided into a theoretical part, synthetically explaining the key challenges related to remote education: social interactions, students' motivation and engagement, and an empirical part, presenting the results of a survey conducted on 1828 students at the Cracow University of Economics. The empirical research enabled analysis of the impact of selected distance education factors on the level of perceived learning outcomes by students, with a particular focus on social interactions (both between teachers and students, and among students), student motivation, and engagement in remote learning environments. The data was collected through a survey distributed in 2020 and 2022, using the Computer Assisted Web Interviewing (CAWI) technique via Google Forms. The results indicate moderate improvements in social interaction and motivation over time, with a slight decrease in the perceived effectiveness of remote learning. The literature review and empirical study reveal changes in the quality, motivation, and engagement of interaction, emphasising the need to adjust teaching strategies in the areas considered to increase the effectiveness of remote education. This study enriches the current literature by addressing gaps and providing suggestions for directions of future research, additionally providing practical recommendations for teachers and educational institutions to improve the efficacy of remote learning.

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13

Macdonald, Doune. "The Relationship between the Sex Composition of Physical Education Classes and Teacher/Pupil Verbal Interaction." Journal of Teaching in Physical Education 9, no. 2 (January 1990): 152–63. http://dx.doi.org/10.1123/jtpe.9.2.152.

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This study examined the relationship between the sex composition of physical education classes and teacher/pupil interactions. Eighteen Grade 9 or 10 hockey lessons were videotaped and verbal interactions were coded using a modified interactional analysis observation system. All teacher/pupil interactions were classified into one of six categories and the relative frequency of each interactional type was compared as a function of the class composition and the sex of the teacher using nonparametric analyses of contingency. To account for variations in lesson duration, interaction rates were also computed and compared between groups using analysis of variance. The results showed that female teachers gave proportionally more skill based interactions than did male teachers in mixed-sex and in all-girls classes. In mixed-sex classes, boys had a greater proportion of verbal interactions as well as more positive interactions with the teacher than girls did. To gauge the perceptions and attitudes of teachers and students toward stereotyping in physical education, interviews were conducted with the teachers and all pupils completed a standardized 35-item questionnaire. Most girls (90%) did not perceive boys as being favored, but 43% felt that teachers expected boys to perform skills better than girls. A greater percentage of boys (63%) than girls (48.5%) agreed that physical education in schools should be made more important.

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14

Aufa, Ari Abi, and Giati Anisah. "Understanding Metaverse in Education: Connecting Metaverse to the existing Cultural Education in Indonesia." Research, Society and Development 12, no. 4 (April 4, 2023): e12512441120. http://dx.doi.org/10.33448/rsd-v12i4.41120.

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Communication technology develops so rapidly that it changes the forms of interaction between people. Digital interaction that brings humans together in a virtual world seems to replace face-to-face interaction that has been a human habit since ancient times. However, digital interaction through media turns out to have many shortcomings and reduce the values that characterize a society. Even so, innovation in communication technology cannot be stopped, and now there is a metaverse. A digital platform that allows man to interact in the virtual world three-dimensional. Although this technology cannot be accessed and enjoyed by all levels of society, it is possible that in the next few decades social interactions in the metaverse will dominate interactions among people. Before that happens, in-depth analysis of all sectors is needed so that humans are not immersed in a virtual world that can actually threaten their existence. This research is a phenomenological research using a philosophical perspective that focuses on the possible use of the metaverse in education. In this study, it was concluded that the use of the metaverse is currently considered unnecessary because there is no urgent reason for the use of this technology, while face-to-face learning is still the best learning method, at least until today.

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15

Grivins, Mikelis. "Pupil Grouping: Education Agent Interaction Influence on Education Results." Multidisciplinary Journal of Educational Research 3, no. 2 (June 14, 2013): 147–72. http://dx.doi.org/10.4471/remie.2013.10.

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This research illustrates how pupil grouping within primary education influences their possibilities to achieve high education results. Paper aims to show how does pupils’ achievements and education interpretation are constructed and how such constructs are connected to teacher interpretation of pupils’ abilities. Analysis is concerned with micro interaction occurring in schools between teacher and pupil. Research is elaborated in interpretative perspective and based on theories of new sociology of education and grouping. To obtain information about questions analyzed several interviews with Latvian language and mathematics teachers were conducted. Afterwards several interviews were done with pupils whom interviewed teachers described as “good” or “bad”. To analyze empirical data Critical Discourse Analysis was applied. Results show that both pupils and teachers legitimize pupil grouping and groups is used to predict pupil performance. It’s also possible to conclude that pupils’ interpretation of education processes comes from interaction within school. Although there is a link between interaction and pupil’s achievements, teachers tend to explain pupil achievements through other factors.

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16

OGNEVIUK, Viktor, Mariia MALETSKA, Nataliia VINNIKOVA, and Vitaliy ZAVADSKYI. "Videogame as Means of Communication and Education: Philosophical Analysis." WISDOM 21, no. 1 (March 28, 2022): 101–16. http://dx.doi.org/10.24234/wisdom.v21i1.626.

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The study is devoted to the philosophical consideration of specific features of communication and education through the use of video games. The purpose of the research was to consider the specific features of communication in the process of interaction within video games, to reveal their educational potential and the difference in their use for educational purposes. The analysis of videogame definitions has allowed focusing on their specific features, namely: interactive, rule-based nature and the need of the specific hardware. As a result, the possible types of dialogue within video games have been considered and, on their basis, the main types of interaction have been formulated for analyzing their use in education: interaction with no active player, player-videogame interaction in case of one-player videogames, player-videogame-player interaction and player-community-videogame interaction. In conclusion, the similarity of videogame playing and the learning process has been delineated in relation to the analyzed types of interaction. The authors state the further need for a comprehensive study of the specific features of each of described types due to the significant differences in the dialogue and educational potential of videogames belonging to them.

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17

정명기, 이제영, and Kim,Jeong-ryeol. "An Analysis of Learner Interaction in Smart English Education." Multimedia-Assisted Language Learning 16, no. 4 (December 2013): 39–65. http://dx.doi.org/10.15702/mall.2013.16.4.39.

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18

Mozhaeva, Galina. "Network Interaction in Distance Education: Analysis of Russian Experience." Procedia - Social and Behavioral Sciences 152 (October 2014): 1124–27. http://dx.doi.org/10.1016/j.sbspro.2014.09.286.

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19

Mohamed, Mustafa M. A., Hatem A. M. Darabee, and Emrah Soykan. "HUMAN-COMPUTER INTERACTION IN MEDICAL EDUCATION." Near East University Online Journal of Education 4, no. 1 (February 13, 2021): 23–38. http://dx.doi.org/10.32955/neuje.v4i1.282.

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Background: As a pivotal and critical constituent of medical education, notable human-computer interaction (HCI) conduct emphasizes attention for building a domain in which each and every employee develops and excels. HCI, as is always an essential partner in medical field, is here understood as the central idea or the thematic statement of the study. Aim: The aim is to summarize the analysis of the selected sample into a compound article that move within the circle of human-computer interaction in medical education. Sample: The study was conducted as a review of 55 articles selected from refined 250 ones, within the concept of technology in medicine in a period of 3 years (2016-2019). Design and methods: descriptive approach is used through an evaluative analysis, where literature review is considered as a tool for data collection.

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20

Gelzheiser, Lynn M., Margaret Mclane Rose, Joel Meyers, and Robert M. Pruzek. "IEP-Specified Peer Interaction Needs: Accurate but Ignored." Exceptional Children 65, no. 1 (October 1998): 51–65. http://dx.doi.org/10.1177/001440299806500104.

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This research addressed two questions about instruction to enhance the social competence of students with disabilities: (a) How adequate were individualized education program (IEP) statements of present level of functioning and goals related to peer interactions? and (b) How appropriate to pupil peer interaction needs and how extensive was instruction? Data sources included IEPs; observations of pupils and teachers in content area, special area, and special education settings; and interviews. Analysis indicated that the IEP accurately characterized peer interactions, but that instructional practices to foster peer interaction were not appropriate, and were provided only to a limited extent. General education settings were somewhat more likely than special education settings to foster peer interaction, providing support for claims that inclusion fosters social integration.

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21

Huang, Changqin, Zhongmei Han, Ming Li, Xizhe Wang, and Wenzhu Zhao. "Sentiment evolution with interaction levels in blended learning environments: Using learning analytics and epistemic network analysis." Australasian Journal of Educational Technology 37, no. 2 (May 10, 2021): 81–95. http://dx.doi.org/10.14742/ajet.6749.

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Sentiment evolution is a key component of interactions in blended learning. Although interactions have attracted considerable attention in online learning contexts, there is scant research on examining sentiment evolution over different interactions in blended learning environments. Thus, in this study, sentiment evolution at different interaction levels was investigated from the longitudinal data of five learning stages of 38 postgraduate students in a blended learning course. Specifically, text mining techniques were employed to mine the sentiments in different interactions, and then epistemic network analysis (ENA) was used to uncover sentiment changes in the five learning stages of blended learning. The findings suggested that negative sentiments were moderately associated with several other sentiments such as joking, confused, and neutral sentiments in blended learning contexts. Particularly in relation to deep interactions, student sentiments might change from negative to insightful ones. In contrast, the sentiment network built from social-emotion interactions shows stronger connections in joking-positive and joking-negative sentiments than the other two interaction levels. Most notably, the changes of co-occurrence sentiment reveal the three periods in a blended learning process, namely initial, collision and sublimation, and stable periods. The results in this study revealed that students’ sentiments evolved from positive to confused/negative to insightful.

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22

Müller-Frommeyer, Lena C., and Simone Kauffeld. "Gaining insights into organizational communication dynamics through the analysis of implicit and explicit communication." Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie (GIO) 52, no. 1 (January 26, 2021): 173–83. http://dx.doi.org/10.1007/s11612-021-00559-9.

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AbstractThis report in the journal Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie aims at presenting how the analysis of implicit and explicit communication in organizational interaction can advance our insights into and implications for these interactions for research and science. Communication is a central process in modern organizations. Especially recurring forms of interaction in organizations (e.g., meetings or appraisal interviews) are of great importance for personal and organizational success. In these interactions, the communication between the interacting organizational members has a decisive impact on the interactions’ course and outcomes (e.g., satisfaction with the interaction, performance during the interaction). Therefore, the aim of this paper is to present two aspects of communication that are empirically shown to contribute to successful outcomes of organizational interactions. Based on a practical problem, we illustrate the analysis and implications of (1) implicit communication (that is, the use and coordination of unconsciously used function words such as pronouns, articles, or prepositions) and (2) explicit communication (that is, the overarching meaning of a statement). To further illustrate the practical relevance of both communication behaviors, we present empirical insights and their implications for practice. Taking a glance at the future, possible combinations of these communication behaviors, the resulting avenues for future research, and the importance of a strengthened cooperation between research and practice to gain more naturalistic insights into organizational communication dynamics are discussed.

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23

Lv, Kaiyue, Zhong Sun, and Min Xu. "Artificial Intelligent Based Video Analysis on the Teaching Interaction Patterns in Classroom Environment." International Journal of Information and Education Technology 11, no. 3 (2021): 126–30. http://dx.doi.org/10.18178/ijiet.2021.11.3.1500.

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Recently, the development of technology has enriched the form of classroom interaction. Exploring the characteristics of current classroom teaching interaction forms can clarify the deficiencies of teaching interactions, thereby improving teaching. Based on the existing classroom teaching interactive coding system, this paper adopted ITIAS coding system, and took classroom with interactive whiteboard, interactive television or mobile terminals as research scene, selected 20 classroom videos of teaching cases in this environment as research objects. Computer vision, one of the artificial intelligent technologies was applied for video analysis from four aspects: the classroom teaching atmosphere, the teacher-student interaction, the student-student interaction, the interaction between human and technology. Through cluster analysis, three clusters of sample’s behavioral sequences were found. According to the analysis on the behavioral sequences and the behavioral transition diagram of each cluster, three classroom teaching interaction patterns were identified, including immediate interaction pattern, waiting interaction pattern and shallow interaction pattern.

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Hasan, Askiah, and Putu Wahyu Sudewi. "Verbal interaction in the classroom at SMP Negeri 6 Majene: An analysis flanders interaction categories." Journal of Research on English and Language Learning (J-REaLL) 3, no. 2 (October 10, 2022): 72–78. http://dx.doi.org/10.33474/j-reall.v3i2.17646.

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The purpose of this study was to analyze the verbal interactions of students in class VIII of SMP Negeri 6 Majene, by analyzing the verbal interactions between teachers and students in class VIII of SMP Negeri 6 Majene in the 2020/2021 school year. This research is a descriptive qualitative research. Data collection techniques used checklist observation and video tapping. Researchers took 10 grade VIII students of SMP Negeri 6 Majene as research subjects. The results showed that in the teacher category more often appeared to accept feeling, ask question, criticizes / justifies authority. Furthermore, in the student category the most dominant was student talk response. In this case, researchers assess, that teachers and students are still lacking in verbal interaction and there are still many categories that have not been fulfilled. Furthermore, students also sometimes experience confusion and difficulty in proper verbal interaction. Then they don't really understand what is being discussed so they are afraid of being wrong even though students know what to say to the teacher.

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Lei, Jun, and Teng Lin. "Emergency Online Learning: The Effects of Interactional, Motivational, Self-Regulatory, and Situational Factors on Learning Outcomes and Continuation Intentions." International Review of Research in Open and Distributed Learning 23, no. 3 (September 1, 2022): 43–60. http://dx.doi.org/10.19173/irrodl.v23i3.6078.

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This study investigated the effects of interactional, motivational, self-regulatory, and situational factors on university students’ online learning outcomes and continuation intentions during the COVID-19 pandemic. Data were collected from 255 students taking a business course at a university in southern China. Hierarchical multiple regression analyses revealed that while family financial hardship caused by COVID-19 was a marginally significant negative predictor of students’ learning outcomes, learner–content interaction; instructors’ provision of e-resources, course planning, and organisation; and students’ intrinsic goal orientation and meta-cognitive self-regulation were significant positive predictors with the latter two sets of predictors mediating the effects of learner–instructor and learner–learner interactions, respectively. Multinominal logistic regression analyses showed that learner–instructor interaction, learner–content interaction, and private learning space were significant positive predictors of students’ intentions to continue with online learning, but learner–learner interaction was a significant negative predictor. These findings point to the differential effects of various types of interactional and situational factors on learning outcomes and continuation intentions, and the instructor- and learner-level factors that mediate the effects of learner–instructor and learner–learner interactions on learning outcomes. They contribute to our understandings of emergency online learning and provide implications for facilitating it.

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Halpin, Sean N., Michael Konomos, and Kathryn Roulson. "Using Applied Conversation Analysis in Patient Education." Global Qualitative Nursing Research 8 (January 2021): 233339362110129. http://dx.doi.org/10.1177/23333936211012990.

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The conversation strategies patients and clinicians use are important in determining patient satisfaction and adherence, and health outcomes following patient education—yet most studies are rife with surveys and interviews which often fail to account for real-time interaction. Conversation analysis (CA) is a powerful but underused sociological and linguistic technique aimed at understanding how interaction is accomplished in real-time. In the current manuscript, we provide a primer to CA in an effort to make the technique accessible to patient education researchers including; The history of CA, identifying and collecting data, transcription conventions, data analysis, and presenting the findings. Ultimately, this article provides an easily digestible demonstration of this analytic technique.

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Faul, Jessica, Minjung Kho, Wei Zhao, Kalee Rumfelt, Miao Yu, Colter Mitchell, and Jennifer Smith. "TRANSETHNIC META-ANALYSIS OF INTERACTIONS BETWEEN GENETICS AND EARLY-LIFE SOCIOECONOMIC CONTEXT ON COGNITION." Innovation in Aging 7, Supplement_1 (December 1, 2023): 216–17. http://dx.doi.org/10.1093/geroni/igad104.0715.

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Abstract Later-life cognitive function is influenced by genetics as well as early- and later-life socioeconomic context. However, few studies have examined the interaction between genetics and early childhood factors. Using gene-based tests (interaction sequence kernel association test [iSKAT]/iSKAT optimal unified test), we examined whether common and rare variants in 39 gene regions previously associated with cognitive performance, dementia, and related traits had an interaction with childhood socioeconomic context (parental education and financial strain) on memory performance or decline in European ancestry (EA, N = 10,468) and African ancestry (AA, N = 2,252) participants from the Health and Retirement Study. Of the 39 genes, 22 in EA and 19 in AA had nominally significant interactions with at least one childhood socioeconomic measure on memory performance and/or decline; however, only one, SLC24A4 x father’s education, remained significant after multiple testing correction (false discovery rate [FDR] < .05). In trans-ethnic meta-analysis, 2 genes interacted with childhood socioeconomic context: MS4A4A x mother’s education on memory performance, and SLC24A4 x father’s education on memory decline. Both interactions remained significant after adjusting for respondent’s own education, apolipoprotein-ε4 allele status, lifestyle factors, body mass index, and comorbidities. For both interactions in EA and AA, the genetic effect was stronger in participants with low parental education. Examination of common and rare variants in genes discovered through genome-wide association studies shows that childhood context may interact with gene regions to jointly impact later-life memory function and decline. Genetic effects may be more salient for those with lower childhood socioeconomic status.

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Philip, Thomas M., and Ayush Gupta. "Emerging Perspectives on the Co-Construction of Power and Learning in the Learning Sciences, Mathematics Education, and Science Education." Review of Research in Education 44, no. 1 (March 2020): 195–217. http://dx.doi.org/10.3102/0091732x20903309.

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In this chapter, we examine a significant shift in research in the learning sciences, mathematics education, and science education that increasingly attends to the co-construction of power and learning. We review articles in these fields that embody a new sense of theoretical and methodological possibilities and dilemmas, brewing at the intersections of critical social theory and the methodological approaches of interaction analysis and microgenetic analysis. We organize our review into three thematic categories: (1) the dynamic construction of identity and ideology, (2) attending to the organization of a learning environment, and (3) leveraging and repurposing tools. Reading across these thematic areas, we identify and outline a burgeoning subfield that we term critical interaction and microgenetic analysis. By bringing this collection of articles together, this chapter provides collective epistemic and empirical weight to claims of power and learning as co-constituted and co-constructed through interactional, microgenetic, and structural dynamics. In our conclusions, we suggest six analytical commitments that are important to hold when engaging in critical interaction and microgenetic analysis.

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Wang, Xiaozhuan, Aminuddin Bin Hassan, How Shwu Pyng, and Han Ye. "Exploring the Influence of Teacher-Student Interaction Strength, Interaction Time, Interaction Distance and Interaction Content on International Student Satisfaction with Online Courses." International Journal of Learning, Teaching and Educational Research 21, no. 2 (February 28, 2022): 380–96. http://dx.doi.org/10.26803/ijlter.21.2.21.

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Since the outbreak of COVID-19 in January 2020, international online courses in universities in China have begun to develop on a large scale. This study explores the related influencing factors of teacher-student interaction on international student satisfaction with online courses in Chinese universities. It reveals which aspects of teacher-student interaction in online classes positively correlate with international students' satisfaction. This study is of a quantitative nature with four (independent variables (IVs) and one dependent variable (DV). The four IVs are the four dimensions of teacher-student interaction, namely interaction strength (IS), interaction time (IT), interaction content (IC), and interaction distance (ID). The DV is international student satisfaction (ISS) with online courses. This study was conducted in a university in Zhejiang Province, China. To answer the questionnaire, one hundred international students who were unable to enter China during COVID-19 were selected by stratified random sampling. The study used SPSS 21 to conduct descriptive and multiple linear regression analysis on the collected quantitative data. A total of 93 valid questionnaire data was collected. The analysis results showed that both IVs (IC & ID) have a positive correlation with the DV (ISS). Therefore, under the condition of limited equal resources, online teachers may give priority to the teacher-student interaction factors that have the greatest impact on the satisfaction of international students, carefully design teacher-student interaction activities, and maximise the satisfaction of international students.

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Dobrova, Victoria V. "Education and culture: cross-cultural analysis." Vestnik of Samara State Technical University Psychological and Pedagogical Sciences 21, no. 1 (April 7, 2024): 5–14. http://dx.doi.org/10.17673/vsgtu-pps.2024.1.1.

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The paper deals with the basic pedagogical categories of education, training, upbringing in cross-cultural aspect. The differences in the conceptual apparatus of domestic and foreign pedagogy in the definition of education, as well as in the allocation of upbringing and training as components of education are shown. Recently, the content of education is largely understood as a projection of the main components of culture. Culture is an umbrella term that includes all the material and non-material aspects of any human society. The understanding of «culture» is important for pedagogy in general, since it is the transfer of culture that is the purpose of education, which is recognized by the whole world pedagogy. Education is understood as a process of transfer – appropriation of culturally formalized samples of human activity and its results in the form of knowledge, ways of activity, attitudes, values. Education is the basis for the transfer and sometimes transformation of culture. Understanding this interaction is difficult because «education» and «culture» are difficult to define precisely, and also because the interaction goes in both directions: culture influences education, and education influences culture.

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SU TONGA, Emine, and Sami ŞAHİN. "Interaction in Distance Education: Meta-Synthesis of Qualitative Studies." e-Kafkas Eğitim Araştırmaları Dergisi 10, no. 1 (April 15, 2023): 52–75. http://dx.doi.org/10.30900/kafkasegt.1139201.

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Interaction in distance education processes; It has a very important place in the learner's academic performance, attitude and motivation, participation in the lesson and the acquisition of instructional goals and behaviors. According to the data obtained as a result of the analysis in this study, in which the interaction in synchronous and asynchronous distance education processes was investigated by qualitative meta-synthesis method; In the synchronous and asynchronous distance education processes, themes emerged about the purposes for which interactions are established, which features and functions can increase interactions in distance education, and which factors negatively affect this process while the interactions are established. According to these themes, which also constitute the aims of the research, interactions in distance education processes are established for cognitive, affective and collaborative purposes. Cognitively oriented interactions; ask questions-answer, asking for and expressing opinions, feedback, making explanations, sharing knowledge and experience, participating in discussions, suggesting solutions, directing, while affectively focused; encouragement and support, sharing personal information, cooperation and emotional support, collaborative interactions; It is established for the purpose of determining group qualifications (members and work area), coordination among group members, distribution of tasks within the group (expertise), group work processes. The categories on how to increase interactions were examined as learner-teacher, learner-learner, learner-content and multiple interaction. Teaching strategies that encourage peer consultation for learning, course contents with detailed and explanatory demonstrations, the learner's sense of belonging and commitment to the group, reducing social and psychological distance with a quick reply to the e-mail sent by the learner, the learner's questions and There is in-depth and explanatory feedback on the students' comments, and asynchronous student-teacher interaction using alternative web resources. Among the factors that negatively affect the interaction process are; during the process, there are negative experiences, slow connection or disconnection, conflict between learners, insufficient online course time to interact due to the intensity of the content, the dominant student being at the forefront when the teacher cannot manage the interaction process, and pedagogical inadequacy that negatively affects the cooperation between learners.

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Nemeth, Lea, Tim Blumenfeld, Ann-Katrin Denn, Anastasia Hirstein, and Frank Lipowsky. "An Exploratory Analysis of Transactive Interaction Patterns in Cooperative Learning Using Sequential Analysis." Education Sciences 13, no. 8 (August 3, 2023): 790. http://dx.doi.org/10.3390/educsci13080790.

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For cooperative learning to be effective, the quality of student–student interaction is crucial. Interactions, which are transactive in nature, are positively related to students’ learning success during cooperative learning. However, little is known about typical interaction patterns during transactive interaction in face-to-face cooperative learning. Therefore, the current study aims to analyze typical interaction patterns of transactive interaction in cooperative learning. Sixty-eight students from seventh to tenth grade were randomly assigned to a total of 23 groups in their classes. The groups were videotaped while solving the same open-ended mathematical modelling task. The interaction behavior was coded, and interaction patterns were analyzed using sequential analysis with first- and second-order Markov chains. The results indicate that the likelihood that students confirm and pick up correct proposals is relatively high, indicating transactive interaction. However, it is almost equally likely that incorrect proposals are confirmed erroneously, as students barely correct them. Still, students do frequently engage in transactive interaction by discussing incorrect proposals, even though these discussions rarely lead to correct solution approaches. Limitations of these results, as well as the practical implications for cooperative learning in classroom settings, are discussed.

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Klein, Ágnes, and Tünde Tancz. "Interaction Analysis in Nurseries." Acta Educationis Generalis 12, no. 3 (November 1, 2022): 135–46. http://dx.doi.org/10.2478/atd-2022-0028.

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Abstract Introduction: The present research aimed to review the qualitative aspects of communication between children and their caregivers. We focused on the presence of quality indicators, on the strategies we encounter in influencing language acquisition in the interaction between children and early childhood educators. Methods: We examined the diversity, awareness and efficiency with which educators use communication tools and techniques in various preschool education situations for children under 3 years of age. In the empirical survey of day-care interactions a questionnaire was based on the evaluation and observation of questionnaire responses. Results: The emotional and motivational basis of language acquisition is formed by the toddler’s social inclinations and attachment needs, as well as social inclinations, with his environment playing a prominent role in changing these processes. Discussion: These interactions provide a framework for language acquisition, where in the classic case language acquisition is not guided, but takes place through everyday situations, through participation in authentic communication situations. The axiom is that language skills develop in language use. Limitations: The questionnaire was validly completed by 60 people. The data collection concentrated on the region of southern and northern Transdanubia in Hungary. Although not in national terms, this offers the opportunity to evaluate and reflect on the situation at the regional level. Conclusions: The professional communication and competent language development activity of educators’ results from the interplay of scientific-theoretical knowledge, implicit empirical knowledge, competence-oriented procedures

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Yang, Qing, Chen Cheng, Zhengjun Wang, Ximiao Zhang, and Jingjing Zhao. "Interaction between Risk Single-Nucleotide Polymorphisms of Developmental Dyslexia and Parental Education on Reading Ability: Evidence for Differential Susceptibility Theory." Behavioral Sciences 14, no. 6 (June 19, 2024): 507. http://dx.doi.org/10.3390/bs14060507.

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While genetic and environmental factors have been shown as predictors of children’s reading ability, the interaction effects of identified genetic risk susceptibility and the specified environment for reading ability have rarely been investigated. The current study assessed potential gene–environment (G×E) interactions on reading ability in 1477 school-aged children. The gene–environment interactions on character recognition were investigated by an exploratory analysis between the risk single-nucleotide polymorphisms (SNPs), which were discovered by previous genome-wide association studies of developmental dyslexia (DD), and parental education (PE). The re-parameterized regression analysis suggested that this G×E interaction conformed to the strong differential susceptibility model. The results showed that rs281238 exhibits a significant interaction with PE on character recognition. Children with the “T” genotype profited from high PE, whereas they performed worse in low PE environments, but “CC” genotype children were not malleable in different PE environments. This study provided initial evidence for how the significant SNPs in developmental dyslexia GWA studies affect children’s reading performance by interacting with the environmental factor of parental education.

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CLAVEL ARROITIA, BEGOÑA. "Analysis of Telecollaborative Exchanges among Secondary Education Students: Communication Strategies and Negotiation of Meaning." Porta Linguarum Revista Interuniversitaria de Didáctica de las Lenguas Extranjeras, no. 31 (January 31, 2019): 97–116. http://dx.doi.org/10.30827/portalin.vi31.13828.

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This study presents the analysis of a corpus of 12 telecollaborative interac-tions, recorded on video, between British and Spanish secondary education students during a telecollaborative project funded by the European Commission. The main aim is to analyse negotiation of meaning in these telecollaboration exchanges which are perceived in the liter-ature as a sign of meaningful interaction. It is essential to study instances of telecollaboration in order to identify the possible affordances in the acquisition of communicative and inter-cultural competences. Smith’s (2005) Model of Computer-Mediated Negotiated Interaction based on Varonis and Gass (1985) is employed to analyse the video interactions between Spanish and English students to find how learners deal with linguistic mistakes or any other type of communication problem during synchronous peer interaction. The results show that students employ a wide variety of strategies to negotiate meaning, while avoiding overt correction unless it is absolutely necessary to avoid communication breaking down. Skil-ful use of corrective techniques and resolving communication problems was also observed. These strategies led to fluid interactions and efficient task completion. Students were seen to readily take the initiative when tackling negotiation of meaning and correction and were pro-vided scaffolding, a task that is normally carried out by teachers in more traditional settings.

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Sancho Guinda, Carmen. "multifaceted nature of interaction in higher education." Journal of Multilingual Theories and Practices 4, no. 1 (April 24, 2023): 142–67. http://dx.doi.org/10.1558/jmtp.23600.

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What do we understand by ‘communicative interaction’ in university settings? Most often, our approach is somewhat reductionist as we tend to envisage interactions confined to class time and particularly to the traditional teacher-led lecture. This article aims to provide a genre-based overview of the diverse communicative interactions that take place in higher education, of the actors and variables shaping them, and of the multiple areas for study and improvement that derive from such analysis. The insights it offers pursue fostering reflective teaching by helping lecturers and syllabus planners to respectively gain awareness and examine their communicative practices and the learning models proposed, which may emphasize certain transversal soft skills over others. The outcome of this study may open up fresh avenues of research within the frames of English medium instruction (EMI) and languages for specific purposes (LSP).

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Rostvall, Anna-Lena, and Tore West. "Analysis of interaction and learning in instrumental teaching." Music Education Research 5, no. 3 (November 2003): 213–26. http://dx.doi.org/10.1080/1461380032000126319.

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Haring, Thomas G., and Catherine Breen. "Units of Analysis of Social Interaction Outcomes in Supported Education." Journal of the Association for Persons with Severe Handicaps 14, no. 4 (December 1989): 255–62. http://dx.doi.org/10.1177/154079698901400403.

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In spite of increased advocacy efforts, demonstrations, and consumer demand for supported education, there is a paucity of empirical research that investigates the predicted outcomes of this model. The rationale for supported education is based largely on increasing social participation, acceptance, and friendships between students with severe disabilities and nondisabled students. This article discusses several issues that underlie the development of measurement systems to evaluate the social effects of supported education. We believe that it is essential to measure the outcomes of supported education (i.e., increased acceptance, social participation, and levels of friendships) as well as the process variables (e.g., specific social interaction skills) that are pivotal in creating the outcomes. An assessment model for outcome and process variables is described. Within this model, social interaction skills, organizational support characteristics, and contextual features are viewed as pivotal events in attaining valued outcomes.

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MAEd, Mr Jayson D. Pentinio,. "CLASSROOM INTERACTION IN THE PANDEMIC: AN ANALYSIS USING FLANDERS INTERACTION ANALYSIS CATEGORIES SYSTEM." Education & Learning in Developing Nations 1, no. 1 (June 16, 2023): 105–7. http://dx.doi.org/10.26480/eldn.02.2023.105.107.

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Classroom interaction is a relevant means of course content exchange among classroom interlocutors. Unquestionably, interaction between the teacher and the students became a challenge during the pandemic, especially that classes transitioned to the virtual format. In order to help address the problem, this descriptive research was conducted to describe science classroom interaction in tertiary education in the virtual format in the time of COVID-19 pandemic among 22 participants using Flanders Interaction Analysis Categories System (FIACS). The thorough analysis using FIACS revealed that the virtual classroom interaction in the time of pandemic is highly teacher-centred. It was dominated by Teacher Talk, particularly Lecture/Lecturing, which indicates that teachers often act as sage on the stage who gives facts and explains ideas in the teaching and learning process. Also, the virtual classroom interaction was predominantly Content Cross and minorly student-focused which indicates teacher dependence on questions and lectures and least students’ involvement. In this setup, students become passive listeners of content for poor verbal involvement. This justifies the need to upskill teachers on online pedagogy and the use of virtual space, flexible learning interaction and the Art of Questioning to transform teacher-centred classroom interaction and instruction to a learner-focused classroom.

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Halpin, Sean, Kathryn Roulston, and Michael Konomos. "Using Applied Conversation Analysis in Medical Education." Innovation in Aging 4, Supplement_1 (December 1, 2020): 688. http://dx.doi.org/10.1093/geroni/igaa057.2403.

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Abstract Successful implementation of patient medical education is contingent on the communication strategies used by nurses, patients, and caregivers. Applied conversation analysis (A-CA) is a sociological and linguistic technique aimed at understanding how interaction is accomplished. In this demonstration of A-CA, the authors draw on an 18-month iterative-formative evaluation of patient education that precedes autologous stem cell transplant for persons diagnosed with multiple myeloma (N=70), a type of cancer which disproportionately impacts older adults. In this study, patients and caregivers received supplemental education videos before their formal education session with a nurse coordinator. Using A-CA, we examined how nurses, patients, and caregivers orient toward the videos; including demonstrated knowledge by patients and caregivers. Nurses justified repeating topics from the videos. Through a focus on the function that language plays in sequences of interaction, it may be possible to determine strategies for improving patient education, and, consequently positively impact patient care..

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Jingbo, Liu, and James Elicker. "Teacher–child interaction in Chinese kindergartens: an observational analysis." International Journal of Early Years Education 13, no. 2 (January 2005): 129–43. http://dx.doi.org/10.1080/09669760500171139.

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Rudhumbu, Norman. "A Gender-Based Analysis of Classroom Interaction Practices: The Effect Thereof on University Students’ Academic Performance." International Journal of Learning, Teaching and Educational Research 21, no. 5 (May 30, 2022): 22–45. http://dx.doi.org/10.26803/ijlter.21.5.2.

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The need to optimize student interactions in universities for enhanced academic performance has been a subject of debate and discussion in different academic fora. A number of studies have shown that students, both male and female, can assert themselves academically if they are provided with opportunities for active participation and interaction with their lecturers and peers for both the horizontal and the vertical sharing of knowledge. The purpose of this study, therefore, was to investigate the gender-based interaction practices of science, mathematics and technology university students, and how these interactive patterns influence their academic performance. Using a quantitative approach located in the post-positivist paradigm, the study employed a structured questionnaire to collect the data from a sample of 1285 students from three universities. The results of the study showed that institutional practices, lecturers, parents, peers, learning content and artifacts, as well as the classroom environment, have a significant influence on the gender-based interaction practices of university students. Furthermore,, the results showed that the levels of interaction have a significant influence on the academic performance of university students, according to gender. As a main recommendation, it was proposed that universities should come up with gender-equity policies that would guide how the universities and their stakeholders could cater for the issues of gender equity.

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Maher, Carmel, Mark Hadfield, Maggie Hutchings, and Adam de Eyto. "Ensuring Rigor in Qualitative Data Analysis." International Journal of Qualitative Methods 17, no. 1 (July 10, 2018): 160940691878636. http://dx.doi.org/10.1177/1609406918786362.

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Deep and insightful interactions with the data are a prerequisite for qualitative data interpretation, in particular, in the generation of grounded theory. The researcher must also employ imaginative insight as they attempt to make sense of the data and generate understanding and theory. Design research is also dependent upon the researchers’ creative interpretation of the data. To support the research process, designers surround themselves with data, both as a source of empirical information and inspiration to trigger imaginative insights. Constant interaction with the data is integral to design research methodology. This article explores a design researchers approach to qualitative data analysis, in particular, the use of traditional tools such as colored pens, paper, and sticky notes with the CAQDAS software, NVivo for analysis, and the associated implications for rigor. A design researchers’ approach which is grounded in a practice which maximizes researcher data interaction in a variety of learning modalities ensures the analysis process is rigorous and productive. Reflection on the authors’ research analysis process, combined with consultation with the literature, would suggest digital analysis software packages such as NVivo do not fully scaffold the analysis process. They do, however, provide excellent data management and retrieval facilities that support analysis and write-up. This research finds that coding using traditional tools such as colored pens, paper, and sticky notes supporting data analysis combined with digital software packages such as NVivo supporting data management offer a valid and tested analysis method for grounded theory generation. Insights developed from exploring a design researchers approach may benefit researchers from other disciplines engaged in qualitative analysis.

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Lewinski, Allison A., Ruth A. Anderson, Allison A. Vorderstrasse, and Constance M. Johnson. "Developing Methods That Facilitate Coding and Analysis of Synchronous Conversations via Virtual Environments." International Journal of Qualitative Methods 18 (January 1, 2019): 160940691984244. http://dx.doi.org/10.1177/1609406919842443.

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Programs via the Internet are uniquely positioned to capture qualitative data. One reason is because the Internet facilitates the creation of a community of similar individuals who can exchange information and support related to living with a chronic illness. Synchronous conversations via the Internet can provide insight into real-time social interaction and the exchange of social support. One way to analyze interactions among individuals is by using qualitative methods such as content, conversation, or discourse analysis. This manuscript describes how we used content analysis with aspects from conversation and discourse analysis to analyze synchronous conversations via the Internet to describe what individuals talk about and how individuals talk in an Internet-mediated interaction. With the increase in Internet interventions that facilitate collection of real-time conversational data, this article provides insight into how combining qualitative methods can facilitate the coding and analysis of these complex data.

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Kuo, Yu-Chun, Andrew E. Walker, Brian R. Belland, and Kerstin E. E. Schroder. "A predictive study of student satisfaction in online education programs." International Review of Research in Open and Distributed Learning 14, no. 1 (January 10, 2013): 16. http://dx.doi.org/10.19173/irrodl.v14i1.1338.

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<p>This paper is intended to investigate the degree to which interaction and other predictors contribute to student satisfaction in online learning settings. This was a preliminary study towards a dissertation work which involved the establishment of interaction and satisfaction scales through a content validity survey. Regression analysis was performed to determine the contribution of predictor variables to student satisfaction. The effects of student background variables on predictors were explored. The results showed that learner-instructor interaction, learner-content interaction, and Internet self-efficacy were good predictors of student satisfaction while interactions among students and self-regulated learning did not contribute to student satisfaction. Learner-content interaction explained the largest unique variance in student satisfaction. Additionally, gender, class level, and time spent online per week seemed to have influence on learner-learner interaction, Internet self-efficacy, and self-regulation.</p>

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Blanchette, Judith. "Participant interaction in asynchronous learning environments: Evaluating interaction analysis methods." Linguistics and Education 23, no. 1 (March 2012): 77–87. http://dx.doi.org/10.1016/j.linged.2011.02.007.

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Chen, Yu (April), and Soko S. Starobin. "Formation of Social Capital for Community College Students: A Second-Order Confirmatory Factor Analysis." Community College Review 47, no. 1 (December 7, 2018): 3–30. http://dx.doi.org/10.1177/0091552118815758.

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Objective: This quantitative study constructed a statistical model to measure family social capital and college social capital among community college students. The authors also examined influences of these two types of social capital constructs on degree aspiration. Method: This study utilized the STEM (Science, Technology, Engineering and Mathematics) Student Success Literacy Survey (SSSL) to collect data in all 15 community college districts in Iowa. With more than 5,000 responses, the authors conducted descriptive analysis, exploratory and confirmatory factor analysis, and structural equation modeling (SEM) analysis. Results: College social capital was measured by three latent variables such as interaction with advisors, interaction with faculty members, and transfer capital. The three latent variables were further measured by 14 survey items. Family social capital was measured by six survey items that described parent–child interaction in high school. The SEM results indicated that college social capital had stronger direct influences on degree aspiration compared with family social capital. The impact of family social capital was delivered through the mediation of college social capital. Contributions: Findings contributed to the literature by emphasizing the important role of institutional agents in promoting degree aspiration. Intervention programs should be implemented to encourage interactions between institutional agents and underrepresented and disadvantaged students.

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BOYKOVA, OLGA A. "HISTORICAL ANALYSIS OF INTERACTION BETWEEN SCHOOL AND THEATER IN NATIONAL EDUCATION." Cherepovets State University Bulletin 4, no. 109 (2022): 142–51. http://dx.doi.org/10.23859/1994-0637-2022-4-109-13.

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The article presents a retrospective analysis of the interaction between school and theater at different stages of the national education development. The author reveals a unique advanced experience of interaction between school and theater in the framework of the activities organized by the theater pedagogical departments for children and youth; describes various forms of interaction between school and theater at the present stage by classifying them according to the source of interaction initiative: theater, school, the third party. The main direction of the state policy in the field of supporting theatrical art in education is given.

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Maulana, Fikri, Anggi Setia Lengkana, and Encep Sudirjo. "Teacher Interaction: A Qualitative Analysis Study in Assessment Learning." JUARA : Jurnal Olahraga 7, no. 3 (November 18, 2022): 865–78. http://dx.doi.org/10.33222/juara.v7i3.2411.

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This study aimed to determine the barriers to communication and instruction in physical education learning in the lower grades. This research method is qualitative, with a research design using a naturalistic inquiry paradigm. In this case, the obstacles analyzed are the obstacles to the interaction of elementary school physical education teachers with the learning of low-grade physical education teachers. Interviews, observations and documentation are used for data collection. As well as using source triangulation as the validity of research results. The results explained the perception of teachers and principals of the problem, namely the interaction of the teacher. The interview results emphasized;1) interaction, 2) type of communication, 3) approach, 4) strategy, 5) use of language, 6) gestures, 7) compound intelligence, 8) teacher difficulty, 9) increased interaction, and 10) physical education learning. This research proves that communication barriers and instructions regarding the interaction of PJOK teachers in the learning of adolescents in the lower grades are said to have sufficient obstacles in their application, as well as how to overcome the challenges. This can be proven from the teacher's perception of the way of communication and the instructions presented, although there are still limitations regarding small data sources. It will be a record for further research, i.e. the use of different methods.

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Harwell, Michael. "Misinterpreting Interaction Effects in Analysis of Variance." Measurement and Evaluation in Counseling and Development 31, no. 2 (July 1, 1998): 125–36. http://dx.doi.org/10.1080/07481756.1998.12068958.

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