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首页> 外文期刊>IEEE Transactions on Education >Tiered Assignments in Lab Programming Sessions: Exploring Objective Effects on Students’ Motivation and Performance
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Tiered Assignments in Lab Programming Sessions: Exploring Objective Effects on Students’ Motivation and Performance

机译:实验室编程会话中的分层作业:探索对学生的动机和性能的客观效果

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Contribution: A model of tiered in-lab, compulsory lab programming sessions suitable for use in flipped learning environments. This article also addresses the scarcity of research that explores the effects of in-class activity organization. Background: When facing a subject they perceive as dry or difficult, some students may feel discouraged from making an effort to learn. Previous research has shown that students have a positive attitude toward assignment tiering, as a form of scaffolding, in voluntary, take-home assignments. Related models either are designed for different settings or have obvious problems with applicability in flipped learning environments. Intended Outcomes: A lab environment that motivates students to learn and consequently to perform better on in-class evaluations and on exams. The approach should be positively received by students. Application Design: Drawing upon the previous teaching experience, the proposed approach is a modification of an assignment tiering model found in the academic literature. With two gated tiered assignments per class, the steepness of the learning curve is alleviated for struggling students, while the injection of deliberate errors, reflexive questions, and ad hoc modification requests keep experienced students engaged with challenging tasks. Findings: The results of the six-year study, performed on an assembly language programming subject, are encouraging: Test groups were better in terms of motivation and performance, and the great majority of students expressed a positive attitude toward the new model.
机译:贡献:实验室中的分层模型,强制实验室编程会话适用于翻转学习环境。本文还涉及缺乏课堂活动组织的影响的研究稀缺。背景:在面对一个受试者时,他们认为干燥或困难,有些学生可能会感到沮丧地努力学习。以前的研究表明,学生对分配分配的态度积极态度,作为一种脚手架的形式,在自愿,家庭作业中。相关模型的设计是针对不同的设置,或者在翻转学习环境中具有明显的问题。预期的结果:一个促使学生学习的实验室环境,从而在课堂上评估和考试中表现更好。这些方法应该被学生积极接受。应用设计:绘制以前的教学经验,提出的方法是在学术文献中发现的分配分层模型的修改。每个班级两个门控分层作业,学习曲线的陡峭都被缓解为斗争的学生,而注入故意错误,反思问题和临时修改要求将验证有经验的学生与具有挑战性的任务进行攻击。调查结果:在汇编语言编程主题进行六年的研究结果,令人鼓舞:测试群体在动机和表现方面更好,大多数学生对新模型表达了积极的态度。

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