ACt-PBL:大学多核计算机教学的自适应方法

Elavarasi Manogaran
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引用次数: 5

摘要

本文提出了一种基于主动协作pbl的教学方法(ACt-PBL),以加强大学多核计算的教与学。这种方法是对传统课堂教学策略的补充,它结合了多核的现场项目演示、并行编程的动手训练、实际代码依赖分析任务、思考结对分享活动以及对多核计算研究问题的公开讨论。调查结果显示,参加ACt-PBL讲座的学生中有69%(大约)认为讲座方法鼓励他们对主题进行反思,而传统讲座的学生中只有36%这样认为。对评估结果的分析表明,ACt-PBL方法易于适应学生的个性化需求,与传统方法-à-vis相比,学生的不合格率降低了约50%。采用该方法,新生的学习效果明显优于传统课堂教学,差异有统计学意义(p=0.006)。相比之下,该方法对二年级学生的先验知识没有显著影响(p=0.74),二年级学生的先验知识高于一年级。
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ACt-PBL: An Adaptive Approach to Teach Multi-core Computing in University Education
This paper presents an Active Collaborative PBLbased teaching methodology (ACt-PBL), for reinforcing teaching and learning of multi-core computing in the university education. This approach complements traditional classroom teaching strategy by incorporating live project demonstrations on multi-core, hands on training on parallel programming, practical code dependency analysis task, think pair-share activity and open discussions on research issues in multi-core computing. Survey results show that 69% (approx.) of the students who attended the ACt-PBL lecture perceived that the lecture method encouraged them to think reflectively on the topic compared to only 36% of students from the traditional lecture. Analysis of assessment results show that the ACt-PBL methodology, being easily adaptable to the students' individual needs, has reduced the failure rate of students by approximately 50% vis-à-vis the traditional method. Using this method, a statistically significant (p=0.006) better learning outcome was obtained for freshmen when compared to their counterparts in the traditional lecture class. In contrast this method did not make any significant difference for the sophomores (p=0.74), who had higher prior knowledge than freshmen.
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