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ERIC Number: ED560561
Record Type: Non-Journal
Publication Date: 2015-Jun
Pages: 8
Abstractor: As Provided
Reference Count: 27
Comparing Novice and Experienced Students within Virtual Performance Assessments
Jiang, Yang; Paquette, Luc; Baker, Ryan S.; Clarke-Midura, Jody
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, Jun 26-29, 2015)
Inquiry skills are an important part of science education standards. There has been particular interest in verifying that these skills can transfer across domains and instructional contexts [4,15,16]. In this paper, we study transfer of inquiry skills, and the effects of prior practice of inquiry skills, using data from over 2000 middle school students using an open-ended immersive virtual environment called Virtual Performance Assessments (VPAs) that aims to assess science inquiry skills in multiple virtual scenarios. To this end, we assessed and compared student performance and behavior within VPA between two groups: novice students who had not used VPA previously, and experienced students who had previously completed a different VPA scenario. Our findings suggest that previous experience in a different scenario prepared students to transfer inquiry skills to a new one, leading these experienced students to be more successful at identifying a correct final conclusion to a scientific question, and at designing causal explanations about these conclusions, compared to novice students. On the other hand, a positive effect of novelty was found for motivation. To better understand these results, we examine the differences in student patterns of behavior over time, between novice and experienced students. [For complete proceedings, see ED560503.]
International Educational Data Mining Society. e-mail:; Web site:
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: Middle Schools; Secondary Education; Junior High Schools; Grade 7; Elementary Education; Grade 8
Audience: N/A
Language: English
Sponsor: Bill and Melinda Gates Foundation
Authoring Institution: International Educational Data Mining Society