利用电子学习资源培养学生的算法能力

Evgenia V. Baranova, I. Simonova, M. Bocharov, Victoria V. Zabolotnaia
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引用次数: 2

摘要

作为信息能力的一个组成部分,对学生——未来计算机科学教师算法能力的培养问题进行了研究。本研究的目的是确定有效算法和编程学习的条件,包括内容的模块化表示,混合学习,按照B. Bloom的分类法分配计算机科学及其教学方法中的问题类别以及电子学习资源的使用。本文明确了大学生算法能力的概念——学生在计算机科学教学过程中设计算法和程序、在专业活动中使用算法和程序的能力、电子学习资源(ELR)设计能力、计算机科学领域的自我教育能力。根据B. Bloom的分类(知识、理解、应用、分析、综合和评价),确定了算法能力发展的问题类别。问题的类别对应于具有一定结构和内容的ELR。ELR在学生算法能力发展中的有效性得到了统计证实。
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THE DEVELOPMENT OF STUDENTS' ALGORITHMIC COMPETENCE BY MEANS OF ELECTRONIC LEARNING RESOURCES
The problem of development of algorithmic competence of students – future Computer Science teachers as a component of information competence is investigated. The aim of the study is to identify the conditions for effective algorithmization and programming learning, involving a modular representation of the content, blended learning, allocated in accordance with the B. Bloom's taxonomy classes of problems in Computer Science and Methods of its Teaching and the use of electronic learning resources. This paper specifies the concept of algorithmic competence of university students – students’ readiness to design algorithms and programs, their use in professional activities in the process of Computer Science teaching, electronic learning resources (ELR) design, self-education in the field of Computer Science. Classes of problems for algorithmic competence development in accordance with B. Bloom's taxonomy (knowledge, comprehension, application, analysis, synthesis and evaluation) are identified. Classes of problems correspond to ELR of a certain structure and content. The efficiency of ELR use in students’ algorithmic competence development is statistically confirmed.
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