Exploring Student Behavior Using the TIPP&SEE Learning Strategy
Exploring Student Behavior Using the TIPP&SEE Learning Strategy
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使用 TIPP 探索学生行为
DOI:
10.1145/3372782.3406257
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Thomas, Cathy
中科院分区:
文献类型:
--
作者:
Franklin, Diana;Salac, Jean;Crenshaw, Zachary;Turimella, Saranya;Klain, Zipporah;Anaya, Marco;Thomas, Cathy
With the rise of Computational Thinking (CT) instruction at the elementary level, it is imperative for elementary computing instruction to support a variety of learners. TIPP&SEE is a meta-cognitive learning strategy that scaffolds student learning when learning from example code. Results from a previous study show statistically-significant performance differences favoring students using the TIPP&SEE strategy on a written assessment. In this work, our goal is gain insight as to it why such dramatic learning differences may have occurred. We analyze the students' computational artifacts and TIPP&SEE worksheets. Artifact analysis reveals that students in the TIPP&SEE group are more thorough in their work, completing more elements of the required tasks. In addition, they build open-ended projects with longer scripts that utilize more learned blocks. Worksheet analysis shows that students were highly accurate on some types of questions but largely skipped others. Despite these positive behaviors, there was little statistical correlation between student worksheet correctness, project completion, and written assessment performance. Therefore, while students in the TIPP&SEE group performed actions we believe lead to more success, no individual actions directly explain the results. Like other meta-cognitive strategies, the value of TIPP&SEE may lie in cognitive processes not directly observable, and may vary based upon individual student differences.
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DOI:
10.1145/3287324.3287477
发表时间:
2019
期刊:
Proceedings of the 50th ACM Technical Symposium on Computer Science Education
影响因子:
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作者:
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期刊:
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期刊:
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DOI:
10.1145/1404520.1404535
发表时间:
2008
期刊:
Labor: Human Capital eJournal
影响因子:
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