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Статті в журналах з теми "Visual Linguistic Task"
Fox, Sonya, and Beryl Exley. "Historical Timelines Analyzing Mutlimodal Text Design." Social Studies Research and Practice 4, no. 3 (November 1, 2009): 17–27. http://dx.doi.org/10.1108/ssrp-03-2009-b0002.
Повний текст джерелаSuhr, Alane, Mike Lewis, James Yeh, and Yoav Artzi. "Evaluating Visual Reasoning through Grounded Language Understanding." AI Magazine 39, no. 2 (July 1, 2018): 45–52. http://dx.doi.org/10.1609/aimag.v39i2.2796.
Повний текст джерелаWang, Huafeng, Mengwei Tu, and Meiqiong Liang. "Effects of Perceptual Learning Styles on Chinese EFL Learners’ Writing Proficiency in the Reading-writing Integrated Continuation Task." International Journal of Linguistics 14, no. 6 (December 4, 2022): 77. http://dx.doi.org/10.5296/ijl.v14i6.20521.
Повний текст джерелаLu, Youtao, and James L. Morgan. "Homophone auditory processing in cross-linguistic perspective." Proceedings of the Linguistic Society of America 5, no. 1 (March 23, 2020): 529. http://dx.doi.org/10.3765/plsa.v5i1.4733.
Повний текст джерелаYang, Chih-Chun, Wan-Cyuan Fan, Cheng-Fu Yang, and Yu-Chiang Frank Wang. "Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 3 (June 28, 2022): 3036–44. http://dx.doi.org/10.1609/aaai.v36i3.20210.
Повний текст джерелаWill, Udo, Guido Nottbusch, and Rüdiger Weingarten. "Linguistic units in word typing." Written Language and Literacy 9, no. 1 (July 20, 2006): 153–76. http://dx.doi.org/10.1075/wll.9.1.10wil.
Повний текст джерелаChampoux-Larsson, Marie-France, Alexandra S. Dylman, Helena Örnkloo, and Francisco Esteves. "Identification of facial expressions of emotion by 4-year-old children from different linguistic environments." International Journal of Bilingualism 23, no. 5 (June 13, 2018): 1208–19. http://dx.doi.org/10.1177/1367006918781069.
Повний текст джерелаGross, Stephanie, Brigitte Krenn, and Matthias Scheutz. "Multi-modal referring expressions in human-human task descriptions and their implications for human-robot interaction." Interaction Studies 17, no. 2 (December 14, 2016): 180–210. http://dx.doi.org/10.1075/is.17.2.02gro.
Повний текст джерелаEsaulova, Yulia, Sarah Dolscheid, Sabine Reuters, and Martina Penke. "The Alignment of Agent-First Preferences with Visual Event Representations: Contrasting German and Arabic." Journal of Psycholinguistic Research 50, no. 4 (March 11, 2021): 843–61. http://dx.doi.org/10.1007/s10936-020-09750-3.
Повний текст джерелаCarpio, Claudio Antonio, Diana Valeria Barrios, María Guadalupe Montes, Francisco Aguilar, Daniel García-Gallardo, and Virginia Pacheco. "Linguistic Mediation of Perceptual Adjustment in University Students." Revista Argentina de Ciencias del Comportamiento 13, no. 3 (December 23, 2021): 59–69. http://dx.doi.org/10.32348/1852.4206.v13.n3.27985.
Повний текст джерелаДисертації з теми "Visual Linguistic Task"
Valsecchi, Matteo, Olaf Dimigen, Reinhold Kliegl, Werner Sommer, and Massimo Turatto. "Microsaccadic Inhibition and P300 Enhancement in a Visual Oddball Task." Universität Potsdam, 2009. http://opus.kobv.de/ubp/volltexte/2011/5717/.
Повний текст джерелаSkorniakova, Oxana G. "Sensitivity to sub-phonemic variation: Evidence from a Visual Analogue Scale (VAS) goodness-rating task." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1290127664.
Повний текст джерелаBibyk, Sarah Alaine. "The Development of Children’s Processing of English Pitch Accents in a Visual Search Task." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275443086.
Повний текст джерелаMcGuire, Steven Paul. "Vocabulary Learning Through Cooperatively Structured Art-Based Tasks." Diss., Temple University Libraries, 2016. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/414473.
Повний текст джерелаEd.D.
This study is a multi-method exploratory quantitative and qualitative examination of the degree to which students produce, share, and learn vocabulary and cooperative skills as they carry out three types of individually and cooperatively structured art-based tasks regarding carefully selected and sequenced artworks. The artwork was selected from, and the tasks were adapted from Visual Thinking Strategies, an approach for teaching art appreciated and critical thinking skills. There has been little research that reports the degree of vocabulary through the use of images in general, very little research on cooperative learning and language learning, and an extremely limited amount of research on cooperative learning carried out in the field of foreign language learning through the use of artwork in the Japanese context. This study aims to fill these gaps. There were five main purposes of this study. The first purpose was to explore the range of vocabulary elicited through the cooperatively structured art-based tasks regarding the artworks. The second purpose was to measure students’ learning and use of two cooperative skills as they carried out the art-based tasks. The third purpose was to examine the implementation of the art-based tasks adapted for language learning in the Japanese college context investigated in this study. The fourth purpose was to explore the degree to which vocabulary is produced, shared, and learned in the adapted art-based tasks. The fifth and final purpose was a qualitative and quantitative examination of students’ attitudes towards the art tasks and towards working cooperatively in groups. To answer questions based on the purposes listed above, AntWordProfiler was used to analyze students’ production of vocabulary as they wrote their individual comments about the artworks and the RANGE feature of AntWordProfiler was used to analyze the frequency of particular vocabulary within and across groups in the group activities. The degree of learning was measured through pretests and posttests adapted from the Vocabulary Knowledge Scale. Finally an ANOVA was used to compare the vocabulary learned in the individual and cooperative drawing tasks following a Latin Square design. The qualitative study involved examination of many sources of data, including the worksheets students filled out as they carried out the art-based tasks, the artwork they drew, and audio recordings. Finally, a combined qualitative and qualitative survey at the end of the semester allowed an exploration of students’ opinions regarding art-based tasks, working and learning in groups, and the class as a whole. The results to the 12 research questions showed very little predictability in the specific vocabulary elicited, but did find patterns in the frequency of vocabulary elicited through the artworks, especially in terms of the percentage of vocabulary elicited. Students showed a significant increase in vocabulary knowledge between the pretests and posttests on all tasks, although there was a significant difference in vocabulary learned by students who did the drawing task individually for one artwork over those who drew that artwork in cooperative groups. A frequency analysis of student self-reports of their use of the cooperative skills they were taught and an examination of audio recordings showed they used and processed their use of the skills in ways that cooperative research suggests are beneficial for learning. Finally, the results of the quantitative and qualitative course-final survey showed that students had generally positive attitudes towards both the learning vocabulary using artwork and working in groups and that students enjoyed interacting and learning from fellow group members. There were some negative views of the cooperative tasks that need to be addressed in future use of these tasks, primarily making students aware of the reasoning behind the way they were being asked to carry out the tasks. The findings showed teachers can use artwork with confidence that students will learn vocabulary and that students are generally positive to the cooperatively structured art-based tasks. Future research needs to be carried out with other artwork, in different contexts, with students at different levels of language ability, and with additional art-based tasks.
Temple University--Theses
Malapetsa, Christina. "Stroop tasks with visual and auditory stimuli : How different combinations of spoken words, written words, images and natural sounds affect reaction times." Thesis, Stockholms universitet, Institutionen för lingvistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-185057.
Повний текст джерелаHamilton, Joshua. "These Walls Can Talk: An Ethnographic Study of the Interior Schoolscape of Three High Schools." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062876/.
Повний текст джерелаHeuer, Sabine. "AN EVALUATION OF TEST IMAGES FOR MULTIPLE-CHOICE COMPREHENSION ASSESSMENT IN APHASIA." Ohio University / OhioLINK, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1090264500.
Повний текст джерелаDrummond, Jane Elizabeth. "Children’s transitive reasoning: effects of visual-spatial and linguistic task conditions." Thesis, 1992. http://hdl.handle.net/2429/2959.
Повний текст джерелаКниги з теми "Visual Linguistic Task"
Satoko, Hayashi, and Tsuda Center for Japanese Language Teaching., eds. 24 tasks for basic modern Japanese. Tokyo: Tsuda Center for Japanese Language Teaching, 1989.
Знайти повний текст джерелаMotohashi, Fujiko. 24 tasks for basic modern Japanese. Tokyo: Japan Times, 1990.
Знайти повний текст джерелаMotohashi, Fujiko. 24 Tasks for basic modern Japanese =: Nihongo kiite hanashite. Tōkyō: Japan Times, Ltd., 1989.
Знайти повний текст джерелаMotohashi, Fujiko, and Satoko Hayashi. 24 Tasks for Basic Modern Japanese Volume 1. Japan Times Japan, 1992.
Знайти повний текст джерелаMaree, Claire. queerqueen. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190869618.001.0001.
Повний текст джерелаЧастини книг з теми "Visual Linguistic Task"
Koner, Rajat, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, and Stephan Günnemann. "Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering." In The Semantic Web – ISWC 2021, 111–27. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88361-4_7.
Повний текст джерелаLeung, Kei Yan. "Reflections on Doing Cross-Cultural Research Through and with Visual Methods." In Co-Creativity and Engaged Scholarship, 265–97. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84248-2_9.
Повний текст джерелаFrancis, Elaine J. "Gradient acceptability, methodological diversity, and theoretical interpretation." In Gradient Acceptability and Linguistic Theory, 194–236. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192898944.003.0008.
Повний текст джерелаGromik, Nicolas. "Producing Cell Phone Video Diaries." In Handbook of Research on Web 2.0 and Second Language Learning, 259–73. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-190-2.ch014.
Повний текст джерелаStepanek, Libor, and Constanza Guillermina Arriaga. "Video Summaries of Academic Texts." In Cases on Audio-Visual Media in Language Education, 328–49. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2724-4.ch014.
Повний текст джерелаZhu, Meng, and Atta Badii. "Cross-Modal Semantic-Associative Labelling, Indexing and Retrieval of Multimodal Data." In Multiple Sensorial Media Advances and Applications, 234–57. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-821-7.ch012.
Повний текст джерелаMarkus, Dace, and Valentīna Kaļiņina. "Dzimtās un otrās latviešu valodas prasme pirmsskolas vecumā: vārdu krājums." In Latviešu valodas apguve. XIII Starptautiskais baltistu kongress : rakstu krājums, 40–56. Liepājas Universitāte, 2021. http://dx.doi.org/10.37384/lva.2021.040.
Повний текст джерелаLuengo, Isabel. "A Diagrammatic Subsystem of Hilbert's Geometry." In Logical Reasoning with Diagrams. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195104271.003.0012.
Повний текст джерелаVadhana, Chandra, Shanthi Bala P., and Immanuel Zion Ramdinthara. "Impact of Deep Learning Techniques in IoT." In Advances in Web Technologies and Engineering, 196–226. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3111-2.ch012.
Повний текст джерелаVasylyshyna, N. M., and N. V. Honcharenko-Zakrevska. "SECTION #2. INNOVATIVE METHODS AND TECHNOLOGIES IN THE STUDY AND TEACHING OF FOREIGN 2.1 THE EFFICIENCY OF NEW TEACHING METHODOLOGIES IN THE PROCESS OF SHAPING FOREIGN COMMUNICATIVE COMPETENCIES." In CURRENT THEORY AND PRACTICE ASPECTS OF LINGUISTICS, SOCIOLINGUISTICS AND METHODOLOGY OF FOREIGN LANGUAGES AT UNIVERSITIES IN MODERN GLOBAL HIGHER EDUCATIONAL SPACE. RS Global Sp. z O.O., 2022. http://dx.doi.org/10.31435/rsglobal/052-4.
Повний текст джерелаТези доповідей конференцій з теми "Visual Linguistic Task"
Diao, Xiaolei. "Building a Visual Semantics Aware Object Hierarchy." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/826.
Повний текст джерелаAgrawal, Samyak, and Radhika Mamidi. "LastResort at SemEval-2022 Task 5: Towards Misogyny Identification using Visual Linguistic Model Ensembles And Task-Specific Pretraining." In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022). Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.semeval-1.79.
Повний текст джерелаSong, Wei, Ziyao Song, Lizhen Liu, and Ruiji Fu. "Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/536.
Повний текст джерелаStenger, I., and T. Avgustinova. "VISUAL VS. AUDITORY PERCEPTION OF BULGARIAN STIMULI BY RUSSIAN NATIVE SPEAKERS." In International Conference on Computational Linguistics and Intellectual Technologies "Dialogue". Russian State University for the Humanities, 2020. http://dx.doi.org/10.28995/2075-7182-2020-19-684-695.
Повний текст джерелаYan, Liqi, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, and Dongfang Liu. "GL-RG: Global-Local Representation Granularity for Video Captioning." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/384.
Повний текст джерелаLong, Siqu, Feiqi Cao, Soyeon Caren Han, and Haiqin Yang. "Vision-and-Language Pretrained Models: A Survey." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/773.
Повний текст джерелаYang, Shuo, and Xinxiao Wu. "Entity-aware and Motion-aware Transformers for Language-driven Action Localization." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/216.
Повний текст джерелаÖman, Anne. "Design and Redesign of a Multimodal Classroom Task – Implications for Teaching and Learning." In InSITE 2015: Informing Science + IT Education Conferences: USA. Informing Science Institute, 2015. http://dx.doi.org/10.28945/2242.
Повний текст джерелаDang, Long Hoang, Thao Minh Le, Vuong Le, and Truyen Tran. "Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/88.
Повний текст джерелаLe, Hieu, Taufiq Daryanto, Fabian Zhafransyah, Derry Wijaya, Elizabeth Coppock, and Sang Chin. "Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach." In 3rd International Conference on Data Mining and Machine Learning (DMML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120709.
Повний текст джерелаЗвіти організацій з теми "Visual Linguistic Task"
Yatsymirska, Mariya. SOCIAL EXPRESSION IN MULTIMEDIA TEXTS. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11072.
Повний текст джерела