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Dynamic Knowledge Modeling with Heterogeneous Activities for Adaptive Textbooks

Thaker, Khushboo and Huang, Yun and Brusilovsky, Peter and Daqing, He (2018) Dynamic Knowledge Modeling with Heterogeneous Activities for Adaptive Textbooks. In: The 11th International Conference on Educational Data Mining, July 15 - 18, 2018, Buffalo NY.

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Abstract

Adaptive textbooks use student interaction data to infer the current state of student knowledge and recommend most relevant learning materials. A challenge of student modeling for adaptive textbooks is that conventional student models are constructed based on performance data (quiz or problem-solving). However, students’ interactions with online textbooks may produce a large volume of student reading data but a limited amount of performance data. In this work, we propose a dynamic student knowledge modeling framework for online adaptive textbooks, which utilizes student reading data combined with few available quiz activities to infer the students’ current state of knowledge. The evaluation shows that proposed model learns more accurate students’ knowledge state than Knowledge Tracing.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Thaker, Khushbook.thaker@pitt.eduk.thakerkmt81@pitt.edu
Huang, Yunyuh43@pitt.eduyuh43
Brusilovsky, Peterpeterb@pitt.edupeterb
Daqing, Hedah44@pitt.edudah44
Date: 14 July 2018
Date Type: Publication
Journal or Publication Title: The 11th International Conference on Educational Data Mining
Page Range: pp. 592-595
Event Title: The 11th International Conference on Educational Data Mining
Event Dates: July 15 - 18, 2018
Event Type: Conference
Schools and Programs: Dietrich School of Arts and Sciences > Intelligent Systems
Refereed: Yes
Date Deposited: 20 Aug 2018 20:13
Last Modified: 20 Aug 2018 20:13
URI: http://d-scholarship.pitt.edu/id/eprint/34939

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