Article ID Journal Published Year Pages File Type
348494 Computers & Education 2013 16 Pages PDF
Abstract

•We apply an integrated model to analyze 66 computer-based assessments in science.•Analyses of the assessment components (e.g., response formats) are presented.•The interrelatedness of assessment components is found and discussed.•We suggest a recursive view of the assessment design process.•We identify limitations and issues of current computer-based science assessments.

Drawing upon an integrated model proposed by Bennett and Bejar (1998), this review study examined how 66 computer-based science assessments (CBSAs) in basic science and medicine took advantage of advanced technologies. The model regarded a CBSA as an integrated system, included several assessment components (e.g., assessment purpose, measured construct, test and task design, examinee interface, and scoring procedure), and emphasized the interplay among these components. Accordingly, this study systematically analyzed the item presentations of interactive multimedia, the constructs measured, the response formats in formative and summative assessments, the scoring procedures, the adaptive test activities administrated based on the algorithms related to the item response theory (IRT) and other rules beyond IRT, and the strategies for the automatic provision of informative hints and feedbacks in the CBSAs. Our analysis revealed that although only 19 out of 66 assessments took advantage of dynamic and interactive media for item presentations, CBSAs with these media could measure integrated understanding of science phenomena and complex problem-solving skills. However, we also found that limitations in automated scoring may lead to infrequent use of the automated provision of hints and feedbacks with open-ended and extended responses. These findings suggest the interrelatedness of the assessment components, and thus we argue that designers should repeatedly consider the relationships between components of CBSAs to ensure the validity of the assessments. Finally, we also indicate the issues for future research in computer-based assessments.

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Social Sciences and Humanities Social Sciences Education
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