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

Hosseini, R and Hsiao, IH and Guerra, J and Brusilovsky, P (2015) What should I do next? Adaptive sequencing in the context of open social student modeling. In: UNSPECIFIED.

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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.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
CreatorsEmailPitt UsernameORCID
Hosseini, Rroh38@pitt.eduROH38
Hsiao, IH
Guerra, Jjdg60@pitt.eduJDG60
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 1 January 2015
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 9307
Page Range: 155 - 168
Event Type: Conference
DOI or Unique Handle: 10.1007/978-3-319-24258-3_12
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Intelligent Systems
School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9783319242576
ISSN: 0302-9743
Date Deposited: 27 Oct 2015 16:09
Last Modified: 30 Mar 2021 15:55


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