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      Interactive Video Player for Supporting Learner Engagement in Video-Based Online Learning

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      https://www.riss.kr/link?id=A108320605

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      다국어 초록 (Multilingual Abstract)

      This study sought to design and develop an interactive video player (IVP) capable of promoting student engagement through the use of online video content. We designed features built upon interactive, constructive, active, passive (ICAP), and crowd lea...

      This study sought to design and develop an interactive video player (IVP) capable of promoting student engagement through the use of online video content. We designed features built upon interactive, constructive, active, passive (ICAP), and crowd learning frameworks. In the development stage of this study, we integrated numerous interactive features into the IVP intended to help learners shift from passive to interactive learning activities. We then explored the effectiveness and usability of the developed IVP by conducting an experiment in which we evaluated students’ exam scores after using either our IVP or a conventional video player. There were 158 college students who participated in the study; 76 students in the treatment group used the IVP and 82 students in the control group used a conventional video player. Results indicate that the participants in the experiment group demonstrated better achievement than the participants in the control group. We further discuss the implications of this study based on an additional survey that was administered to disclose how usable the participants perceived the IVP to be.

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      참고문헌 (Reference) 논문관계도

      1 Angrave, L., "Who benefits? Positive learner outcomes from behavioral analytics of online lecture video viewing using classtranscribe" 1193-1199, 2020

      2 Fiorella, L., "What works and doesn't work with instructional video" 89 : 465-470, 2018

      3 Ashuri, T., "Watching me watching you : How observational learning affects self-disclosure on social network sites?" 23 (23): 34-68, 2018

      4 Chatti, M. A., "Video annotation and analytics in CourseMapper" 3 (3): 1-21, 2016

      5 Mierowsky, R., "Using mimicking gestures to improve observational learning from instructional videos" 40 (40): 550-569, 2020

      6 Martín-Monje, E., "Understanding online interaction in language MOOCs through learning analytics" 31 (31): 251-272, 2018

      7 Nokelainen, P., "The technical and pedagogical usability criteria for digital learning material" 1011-1016, 2005

      8 de Barba, P. G., "The role of students'motivation and participation in predicting performance in a MOOC" 32 (32): 218-231, 2016

      9 Pellas, N., "The influence of computer self-efficacy, metacognitive selfregulation and self-esteem on student engagement in online learning programs:Evidence from the virtual world of second life" 35 : 157-170, 2014

      10 Kittur, A., "The future of crowd work" 1301-1318, 2013

      1 Angrave, L., "Who benefits? Positive learner outcomes from behavioral analytics of online lecture video viewing using classtranscribe" 1193-1199, 2020

      2 Fiorella, L., "What works and doesn't work with instructional video" 89 : 465-470, 2018

      3 Ashuri, T., "Watching me watching you : How observational learning affects self-disclosure on social network sites?" 23 (23): 34-68, 2018

      4 Chatti, M. A., "Video annotation and analytics in CourseMapper" 3 (3): 1-21, 2016

      5 Mierowsky, R., "Using mimicking gestures to improve observational learning from instructional videos" 40 (40): 550-569, 2020

      6 Martín-Monje, E., "Understanding online interaction in language MOOCs through learning analytics" 31 (31): 251-272, 2018

      7 Nokelainen, P., "The technical and pedagogical usability criteria for digital learning material" 1011-1016, 2005

      8 de Barba, P. G., "The role of students'motivation and participation in predicting performance in a MOOC" 32 (32): 218-231, 2016

      9 Pellas, N., "The influence of computer self-efficacy, metacognitive selfregulation and self-esteem on student engagement in online learning programs:Evidence from the virtual world of second life" 35 : 157-170, 2014

      10 Kittur, A., "The future of crowd work" 1301-1318, 2013

      11 Stull, A. T., "The case for embodied instruction : The instructor as a source of attentional and social cues in video lectures" 113 (113): 1441-, 2021

      12 Clarke, T., "The advance of the MOOCs(massive open online courses)" 2013

      13 Chi, M. T., "The ICAP framework : Linking cognitive engagement to active learning outcomes" 49 (49): 219-243, 2014

      14 Sablić, M., "Technology, Knowledge and Learning" 1-17, 2020

      15 Mitrovic, A., "Supporting constructive video-based learning : requirements elicitation from exploratory studies" 224-237, 2017

      16 Cho, M. H., "Students’ self-regulation for interaction with others in online learning environments" 17 : 69-75, 2013

      17 Hampton, D., "Student engagement in online nursing courses" 41 (41): 294-298, 2016

      18 Rosenthal, T. L., "Social learning and cognition" Academic Press 2014

      19 Hsin, W. J., "Short videos improve student learning in online education" 28 (28): 253-259, 2013

      20 Vukovic M, "Service-oriented computing" Springer 109-114, 2010

      21 Chen, H. C., "Sequencing learning experiences to engage different level learners in the workplace : An interview study with excellent clinical teachers" 37 (37): 1090-1097, 2015

      22 Gašević, D., "SENS : Network analytics to combine social and cognitive perspectives of collaborative learning" 92 : 562-577, 2019

      23 Martín-Ramos, P., "Reprint of ‘First exposure to Arduino through peer-coaching : Impact on students' attitudes towards programming’" 80 : 420-427, 2018

      24 Dumford, A. D., "Online learning in higher education : Exploring advantages and disadvantages for engagement" 30 (30): 452-465, 2018

      25 Bandura, A., "Observational learning"

      26 Woo, Y., "Meaningful interaction in web-based learning : A social constructivist interpretation" 10 (10): 15-25, 2007

      27 Vytasek, J. M., "Machine learning paradigms, Vol. 158" Springer 23-48, 2020

      28 Eisenberg, M., "MOOCs: A Perspective from the Learning Sciences" International Society of the Learning Sciences 1 : 190-197, 2014

      29 Anderson, M., "Learning from the crowd : Regression discontinuity estimates of the effects of an online review database" 122 (122): 957-989, 2012

      30 Chou, S. W., "Learning effectiveness in a web-based virtual learning environment : A learner control perspective" 21 (21): 65-76, 2005

      31 Halverson, L. R., "Learner engagement in blended learning environments : A conceptual framework" 23 (23): 145-178, 2019

      32 Giannakos, M. N., "Introduction to smart learning analytics : Foundations and developments in video-based learning" 3 (3): 1-9, 2016

      33 Zhang, D., "Instructional video in e-learning : Assessing the impact of interactive video on learning effectiveness" 43 (43): 15-27, 2006

      34 Kalisz, D. E., "Innovative management education pedagogies for preparing nextgeneration leaders" 55-74, 2016

      35 Surowiecki, J, "Independent individuals and wise crowds" IT Conversations

      36 Speily, O. R., "Increasing information reposting behavior in online learning community" 21 (21): 100-110, 2018

      37 Dunlosky, J., "Improving students’ learning with effective learning techniques : Promising directions from cognitive and educational psychology" 14 (14): 4-58, 2013

      38 Guo, P. J., "How video production affects student engagement : An empirical study of MOOC videos" 41-50, 2014

      39 Dron, J., "Handbook of research on social software and developing community ontologies" IGI Global Information Science 1-17, 2009

      40 Davis, D., "Follow the successful crowd : Raising MOOC completion rates through social comparison at scale" 454-463, 2017

      41 Martin, F., "Engagement matters : Student perceptions on the importance of engagement strategies in the online learning environment" 22 (22): 205-222, 2018

      42 Iglesias-Pradas, S., "Emergency remote teaching and students’ academic performance in higher education during the COVID-19 pandemic : A case study" 119 : 106713-, 2021

      43 Hung, I. C., "Embodied interactive video lectures for improving learning comprehension and retention" 117 : 116-131, 2018

      44 Petrovčič, A., "Differences in intrapersonal and interactional empowerment between lurkers and posters in health-related online support communities" 34 : 39-48, 2014

      45 Doan, A., "Crowdsourcing systems on the World-Wide Web" 54 (54): 86-96, 2011

      46 Howe, J., "Crowdsourcing : How the power of the crowd is driving the future of business" Random House 2008

      47 Angeli, C., "Communication in a web-based conferencing system : The quality of computer-mediated interactions" 34 (34): 31-43, 2003

      48 Morgan, H., "Best practices for implementing remote learning during a pandemic" 93 (93): 135-141, 2020

      49 Lucas, M., "Assessing social construction of knowledge online : A critique of the interaction analysis model" 30 : 574-582, 2014

      50 Thomas, R. A., "An analysis of instructor social presence in online text and asynchronous video feedback comments" 33 : 61-73, 2017

      51 Chi, M. T., "Active-constructive-interactive : A conceptual framework for differentiating learning activities" 1 (1): 73-105, 2009

      52 Seo, K., "Active learning with online video : The impact of learning context on engagement" 165 : 104132-, 2021

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