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Inverted Two-Stage Exams for Prospective Learning: Using an Initial Group Stage to Incentivize Anticipation of Transfer

Published: 26 February 2020 Publication History

Abstract

We propose a novel, inverted two-stage exam format that encourages anticipation of transfer problems. We report on its design, use, and initial assessment for low-stakes quizzes in an algorithms course. A typical two-stage exam, where the group stage comes after the individual stage, emphasizes retrospective learning: reflecting on already-solved problems. Our inverted two-stage format places the group stage first, and incentivizes prospective learning: preparing for transfer to novel problems that will appear on the individual stage and subsequent assessments. TAs reported the new format leads to reliable engagement. In surveys, most students preferred inverted two-stage quizzes to individual quizzes plus a TA walkthrough. Students who preferred this format cited the value of learning from peers, brainstorming in the problem domain, and working out ambiguities in the domain and problems.

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  • (2023)Improving Grading Outcomes in Software Engineering Projects through Automated Contributions SummariesProceedings of the 45th International Conference on Software Engineering: Software Engineering Education and Training10.1109/ICSE-SEET58685.2023.00030(259-270)Online publication date: 17-May-2023

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  1. Inverted Two-Stage Exams for Prospective Learning: Using an Initial Group Stage to Incentivize Anticipation of Transfer

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    cover image ACM Conferences
    SIGCSE '20: Proceedings of the 51st ACM Technical Symposium on Computer Science Education
    February 2020
    1502 pages
    ISBN:9781450367936
    DOI:10.1145/3328778
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    Published: 26 February 2020

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    Author Tags

    1. algorithms
    2. formative assessment
    3. transfer
    4. two-stage exams

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    • (2023)Improving Grading Outcomes in Software Engineering Projects through Automated Contributions SummariesProceedings of the 45th International Conference on Software Engineering: Software Engineering Education and Training10.1109/ICSE-SEET58685.2023.00030(259-270)Online publication date: 17-May-2023

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