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Toward the Evaluation of Educational Videos using Bayesian Knowledge Tracing and Big Data

Published: 14 March 2015 Publication History

Abstract

Along with the advent of MOOCs and other online learning platforms such as Khan Academy, the role of online education has continued to grow in relation to that of traditional on-campus instruction. Rather than tackle the problem of evaluating large educational units such as entire online courses, this paper approaches a smaller problem: exploring a framework for evaluating more granular educational units, in this case, short educational videos. We have chosen to leverage an adaptation of traditional Bayesian Knowledge Tracing (BKT), intended to incorporate the usage of video content in addition to assessment activity. By exploring the change in predictive error when alternately including or omitting video activity, we suggest a metric for determining the relevance of videos to associated assessments. To validate our hypothesis and demonstrate the application of our proposed methods we use data obtained from the popular Khan Academy website.

References

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Lindsey, R. V., Khajah, M., and Mozer, M. C. Automatic discovery of cognitive skills to improve the prediction of student learning.
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Linn, M. C., Davis, E. A., Bell, P., and Bell, A. P. D. o. M. C. P. Internet Environments for Science Education. Routledge, July 2013.
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Oncu, S., and Cakir, H. Research in online learning environments: Priorities and methodologies. Computers & Education 57, 1 (Aug. 2011), 1098--1108.
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Pardos, Z. A., Bergner, Y., Seaton, D. T., and Pritchard, D. E. Adapting bayesian knowledge tracing to a massive open online course in edX. Proceedings of EDM 2013 (2013), 137--144.
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Cited By

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  • (2024)Systematic Review and Analysis of EDM for Predicting the Academic Performance of StudentsJournal of The Institution of Engineers (India): Series B10.1007/s40031-024-00998-0105:4(1021-1071)Online publication date: 4-Feb-2024
  • (2024)Twenty-five years of Bayesian knowledge tracing: a systematic reviewUser Modeling and User-Adapted Interaction10.1007/s11257-023-09389-434:4(1127-1173)Online publication date: 27-Jan-2024
  • (2023)Design and Usability Evaluation of an Annotated Video–Based Learning Environment for Construction Engineering EducationJournal of Computing in Civil Engineering10.1061/JCCEE5.CPENG-520637:6Online publication date: Nov-2023
  • Show More Cited By

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  1. Toward the Evaluation of Educational Videos using Bayesian Knowledge Tracing and Big Data

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    Published In

    cover image ACM Conferences
    L@S '15: Proceedings of the Second (2015) ACM Conference on Learning @ Scale
    March 2015
    438 pages
    ISBN:9781450334112
    DOI:10.1145/2724660
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 14 March 2015

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    Author Tags

    1. bayesian inference
    2. educational videos
    3. instructional technology
    4. knowledge tracing
    5. online education

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    • Work in progress

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    L@S 2015
    Sponsor:
    L@S 2015: Second (2015) ACM Conference on Learning @ Scale
    March 14 - 18, 2015
    BC, Vancouver, Canada

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    L@S '15 Paper Acceptance Rate 23 of 90 submissions, 26%;
    Overall Acceptance Rate 117 of 440 submissions, 27%

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    Cited By

    View all
    • (2024)Systematic Review and Analysis of EDM for Predicting the Academic Performance of StudentsJournal of The Institution of Engineers (India): Series B10.1007/s40031-024-00998-0105:4(1021-1071)Online publication date: 4-Feb-2024
    • (2024)Twenty-five years of Bayesian knowledge tracing: a systematic reviewUser Modeling and User-Adapted Interaction10.1007/s11257-023-09389-434:4(1127-1173)Online publication date: 27-Jan-2024
    • (2023)Design and Usability Evaluation of an Annotated Video–Based Learning Environment for Construction Engineering EducationJournal of Computing in Civil Engineering10.1061/JCCEE5.CPENG-520637:6Online publication date: Nov-2023
    • (2019)Are MOOC Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be!International Journal of Artificial Intelligence in Education10.1007/s40593-019-00183-129:4(484-506)Online publication date: 2-Jul-2019
    • (2018)Evaluating the Robustness of Learning Analytics Results Against Fake LearnersLifelong Technology-Enhanced Learning10.1007/978-3-319-98572-5_6(74-87)Online publication date: 14-Aug-2018

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