Plan Recognition and Visualization in Exploratory Learning Environments

Ofra Amir, Yakov Gal, David Yaron, Michael Karabinos, Robert Belford

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

Exploratory Learning Environments (ELEs) are open-ended software in which students build scientific models and examine properties of the models by running them and analyzing the results (Amershi and Conati, Intelligent tutoring systems. LNCS. Springer, Heidelberg, 463–472, 2006); Chen (Instr Sci, 23(1–3):183–220, 1995); (Cocea et al., 2008). ELEs are generally used in classes too large for teachers to monitor all students and provide assistance when needed (Gal et al., 2008). They are also becoming increasingly prevalent in developing countries where access to teachers and other educational resources is limited (Pawar et al., 2007). Thus, there is a need to develop tools of support for teachers’ understanding of students’ activities. This chapter presents methods for addressing these needs. It presents an efficient algorithm for intelligently recognizing students’ activities, and novel visualization methods for presenting these activities to teachers. Our empirical analysis is based on an ELE for teaching chemistry that is used by thousands of students in colleges and high schools in several countries (Yaron et al., Science, 328(5978), 584–585, 2010).
Original languageEnglish
Title of host publicationEducational Data Mining
PublisherSpringer, Cham
Chapter11
Pages289-327
Number of pages39
Volume524
ISBN (Electronic)978-3-319-02738-8
ISBN (Print)978-3-319-02737-1
DOIs
Publication statusPublished - 7 Nov 2013

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