Title : Using Machine - Learned Detectors to Assess and Predict Students ’ Inquiry Performance
نویسندگان
چکیده
has developed a rigorous, technology-based learning environment that assists and assesses (hence, " assistments ") middle school students in Earth, Life, and Physical Science so that teachers can assess their students' skills rigorously, frequently, and in the context in which they are developing, namely, during instruction (Mislevy et al, 2002). Our program of work represents a significant advance over other programs that utilize pencil and paper assessments because ours makes use of a state-of-the art logging infrastructure to do web-based tutoring and assessment (Razzaq et al, 2005). Our learning environment Science Assistments (www.scienceassistments.org;) scaffolds middle school students' scientific inquiry skills, namely, hypothesizing, designing and conducting experiments, interpreting data, warranting claims with evidence, and communicating findings.
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