Adaptive Remediation with Multi-modal Content

Yuwei Tu, Christopher G. Brinton, Andrew S. Lan, Mung Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Remediation is an integral part of adaptive instructional systems that provide a supplement to lectures in case the delivered content proves too difficult for a user to fully grasp in a single class session. To extend the delivery of current remediation methods from single type of sources to combinations of different material types, we propose an adaptive remediation system with multi-modal remediation content. The system operates in four main phases: ingesting a library of multi-modal content files into bite-sized chunks, linking them based on topical and contextual relevance, then modeling users’ real-time knowledge state when they interact with the delivered course through the system and determining whether remediation is needed, and finally identifying a set of remediation segments addressing the current knowledge weakness with the relevance links. We conducted two studies to test our developed adaptive remediation system in an advanced engineering course taught at an undergraduate institution in the US and evaluated our system on productivity. Both studies show that our system is effective in increasing the productivity by at least 50%.

Original languageEnglish (US)
Title of host publicationAdaptive Instructional Systems - 1st International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsRobert A. Sottilare, Jessica Schwarz
PublisherSpringer Verlag
Pages455-468
Number of pages14
ISBN (Print)9783030223403
DOIs
StatePublished - Jan 1 2019
Event1st International Conference on Adaptive Instructional Systems, AIS 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: Jul 26 2019Jul 31 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11597 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Adaptive Instructional Systems, AIS 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period7/26/197/31/19

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Tu, Y., Brinton, C. G., Lan, A. S., & Chiang, M. (2019). Adaptive Remediation with Multi-modal Content. In R. A. Sottilare, & J. Schwarz (Eds.), Adaptive Instructional Systems - 1st International Conference, AIS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 455-468). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11597 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-22341-0_36