Academic literature on the topic 'Educational model'
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Journal articles on the topic "Educational model"
Gundy, Morag S., and Marie Josée Berger. "Towards a Model Supporting Educational Change." International Journal of Information and Education Technology 6, no. 3 (2016): 232–36. http://dx.doi.org/10.7763/ijiet.2016.v6.691.
Full textSiebert, Ernestine, Michael Wasserman, and Sandra Fisher. "Using Innovation Hubs as Global Educational Collaboration Centers: Changing the International Education Model." JOURNAL OF INTERNATIONAL BUSINESS RESEARCH AND MARKETING 4, no. 5 (2019): 19–23. http://dx.doi.org/10.18775/jibrm.1849-8558.2015.45.3003.
Full textAleksandrova, Ludmila A., and Edvard R. Galimov. "University digital educational model." Journal Of Applied Informatics 15, no. 89 (October 30, 2020): 37–51. http://dx.doi.org/10.37791/2687-0649-2020-15-5-37-51.
Full textDierkhising, Judy Tombrink. "Formulating an Educational Model." Journal of Psychosocial Oncology 5, no. 1 (May 13, 1987): 89–102. http://dx.doi.org/10.1300/j077v05n01_09.
Full textDanyliuk, Maksym. "Educational Model Layout Design." Acta Mechanica Slovaca 26, no. 1 (March 1, 2022): 52–56. http://dx.doi.org/10.21496/ams.2022.022.
Full textKaratas, Kasim. "Bilingualism and bilingual educational model suggestion for Turkey." New Trends and Issues Proceedings on Humanities and Social Sciences 3, no. 1 (June 28, 2017): 142–49. http://dx.doi.org/10.18844/gjhss.v3i1.1761.
Full textTabrizi, Seyed Mohammad Amin Alavi, and Asli Sungur Ergenoglu. "Monitoring model for universal design in educational facilities." New Trends and Issues Proceedings on Humanities and Social Sciences 3, no. 3 (March 22, 2017): 291–301. http://dx.doi.org/10.18844/gjhss.v3i3.1574.
Full textImam Hanafi and Hanifatur Rizqi. "Al-Ghazali's Educational thought Model (Islamic Educational Philosophical Approach)." Formosa Journal of Multidisciplinary Research 1, no. 7 (November 30, 2022): 1435–46. http://dx.doi.org/10.55927/fjmr.v1i7.1762.
Full textS. Polvonova, Yulduzkhon. "APPLICATION OF THE ROTATION MODEL FROM MIXED EDUCATION TECHNOLOGIES IN THE EDUCATIONAL PROCESS IN SCHOOLS." European International Journal of Multidisciplinary Research and Management Studies 02, no. 04 (April 1, 2022): 95–101. http://dx.doi.org/10.55640/eijmrms-02-04-19.
Full textChianchana, Chaiwichit. "Research Synthesis on Educational Model." 11th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES 11, no. 1 (December 9, 2020): 14. http://dx.doi.org/10.35609/gcbssproceeding.2020.11(14).
Full textDissertations / Theses on the topic "Educational model"
Rintala, Gerald O. "A preliminary educational technology maturity model." Diss., The University of Arizona, 2000. http://hdl.handle.net/10150/289159.
Full textWilliamson, Jamie D. "Reliability of the Brief Assessment Model." Miami University / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=miami1101994832.
Full textMetcalf, Shelia Elaine. "Redesigning High School through a Personalized Learning Model." Thesis, William Woods University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10742972.
Full textPersonalized learning is an evolving method for tailoring the goals of K-12 education to meet the needs of each student. This study supports education leaders in learning how to tailor education plans that maximize success for each student. This study extends learning about a better course of action for schools that might prevent students from being in credit lag and at risk of dropping out. This qualitative research study aims to outline themes about time, place and pace in earning high school credits, as well as combat the reasons why students drop out. Through a qualitative content analysis of US Department of Education reports, corporate advocacy narratives, and published research monographs, the researcher examined how rationales for a personalized learning model served to further innovative approaches to high school course completion by redefining the roles of teacher and student in the learning environment. The theory of situated learning was the basis for recognizing the relationships between teaching and learning in a personalized learning instructional model. The documents showed a high level of density in discussing the combined roles of teacher and student with little regard for the singular role of teacher in a personalized learning model.
Norton, Susan K. "Indicators of Success in the Blended Doctoral Cohort Model." Thesis, Concordia University Irvine, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10840659.
Full textFor decades, the cohort model has been utilized to bring graduate degrees to working adults who cannot put their family lives and careers on hold to attend a university in the more traditional way. With the growing access to reliable digital tools, some cohorts have taken advantage of the ability to meet online with live-streaming applications such as Skype, GoToMeeting, and Adobe Connect. The blending of online instruction and face-to-face interaction has given birth to blended learning, a hybrid of synchronous and asynchronous learning. With this evolution of curriculum and instruction delivery, questions arise regarding the quality of graduate programs. Are the students who are investing time and money into these graduate degrees receiving the high-level of quality that they would expect if they were attending the university in a traditional way? How are they interacting with their peers in a scholarly fashion? How are the professors engaging the students in meaningful and scholarly ways? How do students and institutions know what is working for the success of the student and what needs to be improved? This study sought to uncover answers to some of these questions as it researched 16 doctoral students in one blended cohort in central California. With primarily qualitative methods, the study attempted to describe the phenomenon that is the blended doctoral cohort, specifically researching the participants’ perspective of themselves and the blended cohort model at the beginning of their program and, again, at the end of their program.
Yoon, Caroline. "A conceptual analysis of the models and modeling characterization of model-eliciting activities as "thought-revealing activities"." [Bloomington, Ind.] : Indiana University, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3243797.
Full textTitle from PDF t.p. (viewed Nov. 17, 2008). Source: Dissertation Abstracts International, Volume: 67-12, Section: A, page: 4491. Advisers: Thomas Schwen; Frank Lester.
Cantone, Daniel. "Bob Johnson: Coach, Leader, Role Model, Community Servant." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etd/1155.
Full textZakaria, Mohamed Ramzy. "The hybrid model, and adaptive educational hypermedia frameworks." Thesis, University of Nottingham, 2004. http://eprints.nottingham.ac.uk/14247/.
Full textHeller, Monica L. "Predicting first-year college achievement| Evaluation of a self-regulatory coping model." Thesis, Ball State University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3716069.
Full textThe current trends observed in 4-year college graduation and retention rates (ACT 2011; 2012; 2013; 2014; Tinto, 2006) demonstrate a need for improvement in student academic achievement outcomes. Overwhelmingly, research finds that the first year in college is the time of greatest risk for student academic failure and drop out. Challenges associated with academic-oriented forms of stress and anxiety (Baillie & Fitzgerald, 2000; Bembenutty, 2008; Cassady, 2010; Collier & Morgan, 2008; Jean, 2010; Pike & Kuh, 2005; Soria & Stebleton, 2012; Turner et al., 2012) coupled with limitations in effective coping strategies (Hofer et al., 1998; Kitsantas et al., 2008; McInerney, 2011; Pintrich & Zusho, 2002; Robbins et al., 2004; Zimmerman & Schunk, 2008) lie at the center of the difficulties these first-year students experience, which ultimately play a significant role in persistence and achievement outcomes. This is particularly true for students from at-risk populations (e.g., first-generation students, ethnic minorities; Balemian & Feng, 2013; Borman & Overman, 2004; Choy, 2001; Engle, 2007; Jones et al., 2010; Pascarella et al., 2004; Toldson, 2012).
The wide body of research confirms that no single factor reliably predicts college academic success or failure, although institutions have traditionally relied upon indicators of prior achievement (i.e., H.S. GPA and college entrance exams) for such inferences (Alarcon & Edwards, 2013; DeBerard et al., 2004; Harackiewicz et al., 2002; Kowitlawakul et al., 2013; Randsell, 2001; Zypher et al., 2007). Rather, it is the collective of factors from environmental, behavioral and personal domains that interact and have the potential to positively or negatively influence college student achievement (Bandura, 1986; 1997; 1999; Lazarus & Folkman, 1984; Snow et al., 1996). As such, the Transactional Stress and Coping model (Lazarus & Folkman, 1984) provides a comprehensive model through which the influence and interaction of multiple factors associated with student stress-appraisals, coping responses, and eventual outcomes can be examined within investigations of college academic achievement.
The main purpose of this study was to examine the degree of influence student background characteristics, indicators of prior achievement, anxiety-laden cognitive belief states, and self-regulated learning had on first-year college student achievement. Informed by the Lazarus and Folkman (1984) framework, a proposed academic-oriented stress-appraisal and coping model was tested for viability in predicting student achievement outcomes at the conclusion of their first-year in college. This study investigated research questions specifically associated with: 1) the influence of gender, ethnicity and first-generation status on first-year achievement; 2) the influence of student prior achievement (i.e., H. S. GPA and SAT scores) on first-year achievement; 3) the potential mediating influence of cognitive appraisals on first-year achievement; and 4) the potential moderating role of self-regulated learning in first-year achievement. For this archival study, all student demographic data, measures of prior achievement, first-year college achievement (cumulative GPA) and self-report responses to the LASSI-HS (Weinstein & Palmer, 1990) instrument were accessed from a large sample (N = 29,431) of first-time, first-year students enrolled at a mid-sized, Midwestern 4-year university during years 2004-2012. Using an established model of stress-appraisal and coping (Lazarus & Folkman, 1984) within an academic context, five models were tested using Structural Equation Modeling (SEM) to answer the specific research questions and investigate the utility of the models in predicting first-year college achievement.
The results revealed that although all background factors (i.e., gender, ethnicity, first-generation status) were statistically significant predictors of first-year achievement (GPA), their influence on first-year GPA was minimal. Additionally, prior achievement had a statistically significant, but weak, influence on first-year GPA. Although the direct path relationships for all pre-existing personal factors were statistically significant, the results also indicated anxious cognitive appraisals served a mediating role between these factors and first-year GPA. Thus, a partially mediated model best represented the relationships among these variables. The potential moderating effects of motivational regulation and active coping strategies did not have any meaningful impact in the two self-regulatory coping models tested. Although some statistically significant relationships were observed and provided evidence that background factors, prior achievement, anxious cognitive appraisals and self-regulated learning are associated, their influence was minimal and offered little practical utility in explaining first-year college student achievement.
Overall, the results of the study were unexpected given the strong theoretical and empirical support for the measures utilized in the study and literature supporting meaningful and rather robust relationships among the variables of interest. This atypical finding seemed to be due primarily to the first-year student GPAs, and suggests attending to concerns related to the evaluation of student performance and achievement in the first year of college. (Abstract shortened by UMI.)
Bush, Charles D. "Teacher Perceptions About New Evaluation Model Implementations." Thesis, Northcentral University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10622533.
Full textThe challenge of designing and implementing teacher evaluation reform throughout the U.S. has been represented by different policies, teacher evaluation components, and difficulties with implementation. The purpose of this qualitative embedded single case study was to explore teacher perceptions about new evaluation model implementations and how new model implementations impact the relationships between teachers and administration. The main unit of analysis was teachers at one school experiencing the implementation of new evaluation reform. The sub-units were the experience levels of teachers, specifically New Teachers, Mid-career Teachers, and Seasoned Teachers. Findings in this research demonstrated a protectiveness of the low income school in which the participants work, and a lack of trust in the state understanding the needs of a low performing school. The findings indicated teachers perceive the lack of local control or input into the development or implementation of a new evaluation tool may create feelings of mistrust and ulterior motives. Results also emerged suggesting that teachers perceive a new teacher evaluation model may add stress to the site, provide tools for feedback and accountability, and possibly negatively impact the relationships with students. Finally, the findings indicated striking differences of the perceptions of teachers with different levels of teaching experience. Teachers of all experience levels perceived similar, positive relationships between teachers and administrators. However, the perceptions of the current evaluation tool was markedly different based on years of experience. New Teachers and Mid-Career Teachers stressed a desire to receive feedback and the need for feedback to improve their practice. Conversely, Seasoned Teachers stated a clear lack of need or desire for feedback. Additionally, All experience level groups perceived that there may be some level of added stress during the implementation of a new evaluation tool. Seasoned Teachers Mid-Career Teachers perceive the possibility of a new tool as a negative event, while New Teachers viewed this as an opportunity for accountability and alignment.
Loving, Virginia. "The Sustainability of a Coaching Model for Beginning Principals." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/2382.
Full textBooks on the topic "Educational model"
Lafleur, Clay. Program review model. [Barrie, ON]: Simcoe County Board of Education, 1990.
Find full textYi, Ch'an-hŭi. Han'gukhyŏng kyoyuk kaebal hyŏmnyŏk model kuch'uk yŏn'gu. Sŏul: Han'guk Kyoyuk Kaebarwŏn, 2008.
Find full textYi, Ch'an-hŭi. Han'gukhyŏng kyoyuk kaebal hyŏmnyŏk model kuch'uk yŏn'gu. Sŏul: Han'guk Kyoyuk Kaebarwŏn, 2008.
Find full textGlovackaya, Alevtina. Computational model. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1013723.
Full textUnited States. Congress. House. Committee on Education and Labor. Subcommittee on Elementary, Secondary, and Vocational Education., ed. Increasing educational success: The effective schools model. Washington: U.S. G.P.O., 1988.
Find full textSawchuk, Mariette T. Access and persistence: An educational program model. Los Angeles, Calif. : e: PrismPublishing of Mount St. Mary's College, 1990.
Find full textUnited States. Congress. House. Committee on Education and Labor. Subcommittee on Elementary, Secondary, and Vocational Education. Increasing educational success: The effective schools model. Washington: U.S. G.P.O., 1987.
Find full textUnited States. Congress. House. Committee on Education and Labor. Subcommittee on Elementary, Secondary, and Vocational Education. Increasing educational success: The effective schools model. Washington: U.S. G.P.O., 1987.
Find full textUnited States. Congress. House. Committee on Education and Labor. Subcommittee on Elementary, Secondary, and Vocational Education. Increasing educational success: The effective schools model. Washington: U.S. G.P.O., 1987.
Find full textUnited States. Congress. House. Committee on Education and Labor. Subcommittee on Elementary, Secondary, and Vocational Education., ed. Increasing educational success: The effective schools model. Washington: U.S. G.P.O., 1988.
Find full textBook chapters on the topic "Educational model"
Meyer, Greg, and Karen Meyer. "Ms. Smith Model T4." In Educational Fabulations, 29–40. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93827-7_2.
Full textDuit, Reinders. "Model of Educational Reconstruction." In Encyclopedia of Science Education, 1–3. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6165-0_157-1.
Full textDuit, Reinders. "Model of Educational Reconstruction." In Encyclopedia of Science Education, 654–56. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-007-2150-0_157.
Full textWu, Margaret, Hak Ping Tam, and Tsung-Hau Jen. "Partial Credit Model." In Educational Measurement for Applied Researchers, 159–85. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3302-5_9.
Full textSabanina, Natalia R., and Valery S. Meskov. "Mental Model of Educational Environments." In Transactions on Computational Science and Computational Intelligence, 963–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70296-0_78.
Full textSabanina, Natalia R., and Valery S. Meskov. "Mental Model of Educational Environments." In Transactions on Computational Science and Computational Intelligence, 963–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70296-0_78.
Full textAlmond, Russell G., Robert J. Mislevy, Linda S. Steinberg, Duanli Yan, and David M. Williamson. "The Biomass Measurement Model." In Bayesian Networks in Educational Assessment, 549–82. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2125-6_15.
Full textLi, Jian. "The literature of educational innovation for China’s teachers’ academic development." In Innovation Competency Model, 29–42. Abingdon, Oxon; New York, NY : Routledge, 2021. | Series: China perspectives: Routledge, 2020. http://dx.doi.org/10.4324/9781003056935-5.
Full textMcCoach, D. Betsy, Sarah D. Newton, and Anthony J. Gambino. "Multilevel Model Selection: Balancing Model Fit and Adequacy." In Methodology for Multilevel Modeling in Educational Research, 29–48. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9142-3_3.
Full textPatten, Kathryn E. "The Somatic Appraisal Model of Affect: Paradigm for Educational Neuroscience and Neuropedagogy." In Educational Neuroscience, 86–96. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444345827.ch13.
Full textConference papers on the topic "Educational model"
Pham, Xuan Thanh, Anh Tho Mai, and Anh Tuan Ngo. "An Educational Transformative Sustainability Model Based On Modem Educational Technology." In 2020 5th International Conference on Green Technology and Sustainable Development (GTSD). IEEE, 2020. http://dx.doi.org/10.1109/gtsd50082.2020.9303074.
Full textTujarov, Hristo, Svetlana Avramova, Stefan Kalchev, and Milena Stefanova. "Educational process model." In the 9th International Conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1500879.1500940.
Full textLopez, M., BK Peddinani, M. O’Connor-Córdova, and B. Carrion. "DIGITAL EDUCATIONAL MODEL: TRANSFORMATION TOWARDS A DISTANCE UNIVERSITY EXPERIENCE." In The 7th International Conference on Education 2021. The International Institute of Knowledge Management, 2021. http://dx.doi.org/10.17501/24246700.2021.7155.
Full textRodríguez-Cano, Sonia, María Teresa Ortega, Martha Lucía Orozco-Gómez, Raquel de la Fuente-Anuncibay, José Luis Cuesta-Gómez, and Miguel Corbí. "TUT4IND: A MODEL OF EDUCATIONAL INCLUSION IN HIGHER EDUCATION." In 13th annual International Conference of Education, Research and Innovation. IATED, 2020. http://dx.doi.org/10.21125/iceri.2020.0940.
Full textRodríguez-Alvarado, Jennifer, Rosa López Martos, and Manuel Malpica-Rodríguez. "Educational model based on Tele Education in times of pandemic in a Peruvian Educational Institution." In 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions”. Latin American and Caribbean Consortium of Engineering Institutions, 2022. http://dx.doi.org/10.18687/laccei2022.1.1.458.
Full textGaliutinova, E. I. "Educational Institution Risk Management Model." In II International Conference on Economic and Social Trends for Sustainability of Modern Society. European Publisher, 2021. http://dx.doi.org/10.15405/epsbs.2021.09.02.232.
Full textDaltaban, T. S., J. S. Archer, and H. Toral. "Petroleum Engineering Studies Educational Model." In Petroleum Computer Conference. Society of Petroleum Engineers, 1989. http://dx.doi.org/10.2118/19145-ms.
Full textZainuddin, Zainuddin. "Model of Educational Synergy Management." In Proceedings of the 1st International Conference on Innovation in Education (ICoIE 2018). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/icoie-18.2019.137.
Full textYANG, HONG. "RESEARCH ON WECHAT MORAL EDUCATION MODEL INNOVATION IN UNIVERSITIES." In 2021 International Conference on Education, Humanity and Language, Art. Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/dtssehs/ehla2021/35730.
Full textRossi, Rogério, and Pollyana Notargiacomo Mustaro. "eQETIC: a Maturity Model for Online Education." In InSITE 2015: Informing Science + IT Education Conferences: USA. Informing Science Institute, 2015. http://dx.doi.org/10.28945/2194.
Full textReports on the topic "Educational model"
Pavlicheva, E. N. Logical-informational model of educational disciplines of an individual trajectory of a student's education at a university. OFERNIO, December 2020. http://dx.doi.org/10.12731/ofernio.2020.24723.
Full textMorze, Natalia V., and Viktoriia O. Kucherovska. Ways to design a digital educational environment for K-12 education. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4438.
Full textBalyk, Nadiia, Svitlana Leshchuk, and Dariia Yatsenyak. Developing a Mini Smart House model. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3741.
Full textJere, Catherine M. Developing, implementing and evaluating the SOFIE model: Supporting increased educational access for vulnerable pupils in Malawi. Institute of Education, University of Malawi, 2011. http://dx.doi.org/10.35648/20.500.12413/11781/ii080.
Full textShapovalov, Yevhenii B., Viktor B. Shapovalov, Roman A. Tarasenko, Stanislav A. Usenko, and Adrian Paschke. A semantic structuring of educational research using ontologies. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4433.
Full textKorotun, Olha V., Tetiana A. Vakaliuk, and Vladimir N. Soloviev. Model of using cloud-based environment in training databases of future IT specialists. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3865.
Full textBabkin, Vladyslav V., Viktor V. Sharavara, Volodymyr V. Sharavara, Vladyslav V. Bilous, Andrei V. Voznyak, and Serhiy Ya Kharchenko. Using augmented reality in university education for future IT specialists: educational process and student research work. CEUR Workshop Proceedings, July 2021. http://dx.doi.org/10.31812/123456789/4632.
Full textCherniavskyi, Ruslan, Yaroslav Krainyk, and Anzhela Boiko. Modeling university environment: means and applications for university education. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3742.
Full textRuff, Grigory, and Tatyana Sidorina. THE DEVELOPMENT MODEL OF ENGINEERING CREATIVITY IN STUDENTS OF MILITARY INSTITUTIONS. Science and Innovation Center Publishing House, December 2020. http://dx.doi.org/10.12731/model_of_engineering_creativity.
Full textKISELEVA, G., and O. TURYANSKAYA. EFFECTIVE MANAGEMENT OF AN EDUCATIONAL INSTITUTION AS A CONDITION FOR QUALITY ASSURANCE. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2658-4034-2021-12-4-2-76-84.
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