Off the beaten path: The impact of adaptive content sequencing on student navigation in an open social student modeling interface

Hosseini, R and Hsiao, IH and Guerra, J and Brusilovsky, P (2015) Off the beaten path: The impact of adaptive content sequencing on student navigation in an open social student modeling interface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9112. 624 - 628. ISSN 0302-9743

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Abstract

One of the original goals of intelligent educational systems is to guide every student to the most appropriate educational content. Exploring both knowledge-based and social guidance approaches in past work, we learned that each of these approaches has weak sides. In this paper we follow the idea of combining social guidance with more traditional knowledge-based guidance to support more optimal content navigation. We proposed a greedy sequencing approach that maximizes student’s level of knowledge and tested it in a classroom. Results indicated that this approach positively impacts students’ navigation.

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Details

Item Type:	Article
Status:	Published
Creators/Authors:	Creators Email Pitt Username ORCID Hosseini, R roh38@pitt.edu ROH38 Hsiao, IH Guerra, J jdg60@pitt.edu JDG60 Brusilovsky, P peterb@pitt.edu PETERB 0000-0002-1902-1464
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:	9112
Page Range:	624 - 628
Event Type:	Conference
DOI or Unique Handle:	10.1007/978-3-319-19773-9_77
Institution:	University of Pittsburgh
Schools and Programs:	Dietrich School of Arts and Sciences > Intelligent Systems School of Information Sciences > Information Science
Refereed:	Yes
ISBN:	9783319197722
ISSN:	0302-9743
Date Deposited:	10 Aug 2015 14:26
Last Modified:	30 Mar 2021 15:55
URI:	http://d-scholarship.pitt.edu/id/eprint/25938

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