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ERIC Number: EJ1003064
Record Type: Journal
Publication Date: 2013-Jun
Pages: 28
Abstractor: As Provided
ISSN: ISSN-1042-1629
Using Educational Data Mining Methods to Assess Field-Dependent and Field-Independent Learners' Complex Problem Solving
Angeli, Charoula; Valanides, Nicos
Educational Technology Research and Development, v61 n3 p521-548 Jun 2013
The present study investigated the problem-solving performance of 101 university students and their interactions with a computer modeling tool in order to solve a complex problem. Based on their performance on the hidden figures test, students were assigned to three groups of field-dependent (FD), field-mixed (FM), and field-independent (FI) learners, and were instructed to use integrated-format materials and Model-It[R] in order to solve a problem about immigration policy. The results showed that there were significant differences among the three groups of learners in terms of their problem-solving performance. Consequently, the study employed educational data mining (EDM) methods in order to examine how FD and FI learners actually interacted with Model-It[R] in order to solve the problem. The EDM methods provided rich analytical information and details about learners' interactions with the computer tool. Implications for designing effective joint cognitive systems are discussed.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Hidden Figures Test