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ERIC Number: EJ1115360
Record Type: Journal
Publication Date: 2012
Pages: 40
Abstractor: As Provided
ISSN: EISSN-2157-2100
Leveraging Educational Data Mining for Real-Time Performance Assessment of Scientific Inquiry Skills within Microworlds
Gobert, Janice D.; Sao Pedro, Michael A.; Baker, Ryan S. J. D.; Toto, Ermal; Montalvo, Orlando
Journal of Educational Data Mining, v4 n1 p104-143 2012
We present "Science Assistments," an interactive environment, which assesses students' inquiry skills as they engage in inquiry using science microworlds. We frame our variables, tasks, assessments, and methods of analyzing data in terms of "evidence-centered design." Specifically, we focus on the "student model," the "task model," and the "evidence model" in the "conceptual assessment framework." In order to support both assessment and the provision of scaffolding, the environment makes inferences about student inquiry skills using models developed through a combination of text replay tagging [cf. Sao Pedro et al. 2011], a method for rapid manual coding of student log files, and "educational data mining." Models were developed for multiple inquiry skills, with particular focus on detecting if students are testing their articulated hypotheses, and if they are designing controlled experiments. Student-level cross-validation was applied to validate that this approach can automatically and accurately identify these inquiry skills for new students. The resulting detectors also can be applied at run-time to drive scaffolding intervention.
International Working Group on Educational Data Mining. e-mail:; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: Middle Schools; Secondary Education; Junior High Schools
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF); Institute of Education Sciences (ED)
Authoring Institution: N/A
IES Funded: Yes
Grant or Contract Numbers: R305A090170; NSFDRL0733286; DRL1008649; NSFDGE0742503