UpGrade: Sourcing Student Open-Ended Solutions to Create Scalable Learning Opportunities
UpGrade: Sourcing Student Open-Ended Solutions to Create Scalable Learning Opportunities
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UpGrade:寻找学生开放式解决方案以创造可扩展的学习机会
DOI:
10.1145/3330430.3333614
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发表时间:
2019
期刊:
影响因子:
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通讯作者:
Koedinger, Kenneth
中科院分区:
文献类型:
--
作者:
Wang, Xu;Talluri, Srinivasa Teja;Rose, Carolyn;Koedinger, Kenneth
In schools and colleges around the world, open-ended home-work assignments are commonly used. However, such assignments require substantial instructor effort for grading, and tend not to support opportunities for repeated practice. We propose UpGrade, a novel learnersourcing approach that generates scalable learning opportunities using prior student solutions to open-ended problems. UpGrade creates interactive questions that offer automated and real-time feedback, while enabling repeated practice. In a two-week experiment in a college-level HCI course, students answering UpGrade-created questions instead of traditional open-ended assignments achieved indistinguishable learning outcomes in ~30% less time. Further, no manual grading effort is required. To enhance quality control, UpGrade incorporates a psychometric approach using crowd workers' answers to automatically prune out low quality questions, resulting in a question bank that exceeds reliability standards for classroom use.
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DOI:
10.1145/2675133.2675219
发表时间:
2015
期刊:
Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing
影响因子:
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作者:
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2018-04
期刊:
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作者:
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2006
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期刊:
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DOI:
10.1007/s40593-014-0024-x
发表时间:
2014-12-01
影响因子:
4.9
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通讯作者:
Heffernan, Cristina Lindquist