What should I do next? Adaptive sequencing in the context of open social student modeling

Roya Hosseini, Ihan Hsiao, Julio Guerra, Peter Brusilovsky

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

12 Scopus citations

Abstract

One of the original goals of intelligent educational systems was to guide each student to the most appropriate educational content. In previous studies, we explored both knowledge-based and social guidance approaches and learned that each has a weak side. In the present work, we have explored the idea of combining social guidance with more traditional knowledge-based guidance systems in hopes of supporting more optimal content navigation. We propose a greedy sequencing approach aimed at maximizing each student’s level of knowledge and implemented it in the context of an open social student modeling interface. We performed a classroom study to examine the impact of this combined guidance approach. The results of our classroom study show that a greedy guidance approach positively affected students’ navigation, increased the speed of learning for strong students, and improved the overall performance of students, both within the system and through end-of-course assessments.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages155-168
Number of pages14
Volume9307
ISBN (Print)9783319242576
DOIs
StatePublished - 2015
Event10th European Conference on Technology Enhanced Learning, EC-TEL 2015 - Toledo, Spain
Duration: Sep 15 2015Sep 18 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9307
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other10th European Conference on Technology Enhanced Learning, EC-TEL 2015
CountrySpain
CityToledo
Period9/15/159/18/15

Keywords

  • Adaptive navigation support
  • E-learning
  • Java programming
  • Open social student modelling
  • Personalized guidance

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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    Hosseini, R., Hsiao, I., Guerra, J., & Brusilovsky, P. (2015). What should I do next? Adaptive sequencing in the context of open social student modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9307, pp. 155-168). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9307). Springer Verlag. https://doi.org/10.1007/978-3-319-24258-3_12