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European Conference on Technology Enhanced Learning

EC-TEL 2015: Design for Teaching and Learning in a Networked World pp 155–168Cite as

What Should I Do Next? Adaptive Sequencing in the Context of Open Social Student Modeling

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9307))

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.

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Notes

  1. 1.

    http://www.sis.pitt.edu/~paws/ont/java.owl.

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Authors and Affiliations

  1. Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA

    Roya Hosseini

  2. School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA

    I-Han Hsiao

  3. School of Information Sciences, University of Pittsburgh, Pittsburgh, PA, USA

    Julio Guerra & Peter Brusilovsky

Authors
  1. Roya Hosseini
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  2. I-Han Hsiao
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  3. Julio Guerra
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  4. Peter Brusilovsky
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Corresponding author

Correspondence to Roya Hosseini .

Editor information

Editors and Affiliations

  1. University of Bath Spa, Bath, UK

    Gráinne Conole

  2. Jožef Stefan Institute, Ljubljana, Slovenia

    Tomaž Klobučar

  3. Technische Universität Darmstadt, Darmstadt, Germany

    Christoph Rensing

  4. Technische Universität Darmstadt, Darmstadt, Germany

    Johannes Konert

  5. IAE Lyon, Université Jean Moulin Lyon 3, Lyon, France

    Elise Lavoué

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© 2015 Springer International Publishing Switzerland

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Hosseini, R., Hsiao, IH., Guerra, J., Brusilovsky, P. (2015). What Should I Do Next? Adaptive Sequencing in the Context of Open Social Student Modeling. In: Conole, G., Klobučar, T., Rensing, C., Konert, J., Lavoué, E. (eds) Design for Teaching and Learning in a Networked World. EC-TEL 2015. Lecture Notes in Computer Science(), vol 9307. Springer, Cham. https://doi.org/10.1007/978-3-319-24258-3_12

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  • DOI: https://doi.org/10.1007/978-3-319-24258-3_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24257-6

  • Online ISBN: 978-3-319-24258-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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