Identifying Domain-Specific Cognitive Strategies for Software Engineering

Shifa-e-Zehra Haidry, K. Falkner, Claudia Szabo
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引用次数: 4

Abstract

Due to the rapidly changing nature of today's work environment, software engineering (SE) students are required to have self-regulated learning (SRL) and problem solving skills. Previous research suggests that training students in the use of domain-specific cognitive strategies and using scaffolded instruction for strategy training improves students' SRL and problem solving task performance. In order to identify SE-specific cognitive strategies, we conducted a survey of advanced-level SE students. We then conducted a pre-test and post-test experiment with one control and two treatment groups, to analyze the effectiveness of identified strategies in improving students' task performance. The control group was not exposed to any strategies, while one treatment group was instructed verbally in the use of strategies and the other was trained using a newly developed scaffolded strategy training module. The results of the experiment demonstrate significant improvement in post-test task performance for both treatment groups, with a further increase in performance for those undertaking the training module.
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识别软件工程领域特定的认知策略
由于当今工作环境的快速变化,软件工程(SE)的学生需要有自我调节的学习(SRL)和解决问题的技能。先前的研究表明,训练学生使用特定领域的认知策略和使用框架教学进行策略训练可以提高学生的SRL和问题解决任务绩效。为了确定SE特有的认知策略,我们对高水平SE学生进行了调查。然后,我们进行了一组对照组和两组实验组的测试前和测试后实验,以分析所确定的策略在提高学生任务表现方面的有效性。对照组没有接触任何策略,而一个治疗组口头指导策略的使用,另一个治疗组使用新开发的支架策略训练模块进行训练。实验结果表明,两个实验组在测试后的任务表现上都有显著改善,而接受培训模块的实验组的表现进一步提高。
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