Student Knowledge and Learning Skill Modeling in the Learning Environment 'Forces'
G Andaloro, L Bellomonte
Computers & Education Volume 30, Number 3, ISSN 0360-1315 Publisher: Elsevier Ltd
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.
Andaloro, G. & Bellomonte, L. (1998). Student Knowledge and Learning Skill Modeling in the Learning Environment 'Forces'. Computers & Education, 30(3), 209. Elsevier Ltd. Retrieved April 2, 2023 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=EJ572124
Cited ByView References & Citations Map
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
These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact firstname.lastname@example.org.