NotesFAQContact Us
Collection
Advanced
Search Tips
ERIC Number: ED537218
Record Type: Non-Journal
Publication Date: 2012-Jun
Pages: 4
Abstractor: As Provided
Reference Count: 12
ISBN: N/A
ISSN: N/A
Interleaved Practice with Multiple Representations: Analyses with Knowledge Tracing Based Techniques
Rau, Martina A.; Pardos, Zachary A.
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (5th, Chania, Greece, Jun 19-21, 2012)
The goal of this paper is to use Knowledge Tracing to augment the results obtained from an experiment that investigated the effects of practice schedules using an intelligent tutoring system for fractions. Specifically, this experiment compared different practice schedules of multiple representations of fractions: representations were presented to students either in an interleaved or in a blocked fashion. The results obtained from posttests demonstrate an advantage of interleaving representations. Using methods derived from Knowledge Tracing, we investigate whether we can replicate the contextual interference effect, an effect commonly found when investigating practice schedules of different task types. Different Knowledge Tracing models were adapted and compared. A model that included practice schedules as a predictor of students' learning was most successful. A comparison of learning rate estimates between conditions shows that even during the acquisition phase, students working with interleaved representations demonstrate higher learning rates. This finding stands in contrast to the commonly found contextual interference effect when interleaving task types. We reflect on the practical and theoretical implications of these findings. (Contains 1 figure and 3 tables.) [For the complete proceedings, "Proceedings of the International Conference on Educational Data Mining (EDM) (5th, Chania, Greece, June 19-21, 2012)," see ED537074.]
International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: Elementary Education; Grade 4; Grade 5
Audience: N/A
Language: English
Sponsor: National Science Foundation
Authoring Institution: International Educational Data Mining Society
Identifiers - Location: Pennsylvania