Student Knowledge and Learning Skill Modeling in the Learning Environment 'Forces'
ARTICLE
G Andaloro, L Bellomonte
Computers & Education Volume 30, Number 3, ISSN 0360-1315 Publisher: Elsevier Ltd
Abstract
In this paper we present a student module modeling knowledge states and learning skills of students in the field of Newtonian dynamics. Student data recorded during the exploratory activity in microworlds are used to infer mental representations concerning the concept of force. A fuzzy algorithm able to follow the cognitive states the student goes through in solving a task and to interpret the monitored changes is discussed.
Citation
Andaloro, G. & Bellomonte, L. (1998). Student Knowledge and Learning Skill Modeling in the Learning Environment 'Forces'. Computers & Education, 30(3), 209. Elsevier Ltd. Retrieved March 28, 2024 from https://www.learntechlib.org/p/165208/.
This record was imported from Computers & Education on December 3, 2015. Computers & Education is a publication of Elsevier.
Full text is availabe on Science Direct: http://eric.ed.gov/?id=EJ572124Keywords
Cited By
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Evaluating the Use of Learning Objects for Secondary School Science
Robin Kay & Liesel Knaack, University of Ontario Institute of Technology (UOIT), Canada
Journal of Computers in Mathematics and Science Teaching Vol. 26, No. 4 (October 2007) pp. 261–289
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