提高学生对基本计算机体系结构概念理解的教育环境

IF 2.1 Q1 EDUCATION & EDUCATIONAL RESEARCH Informatics in Education Pub Date : 2022-08-22 DOI:10.15388/infedu.2023.16
C. Kyriakou, A. Gogoulou, M. Grigoriadou
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引用次数: 0

摘要

本文提出了一个教育环境,试图提高学生的理解和促进学生的联系推理能力。建议的设置分为三个阶段。第一阶段旨在探索学生的先验知识。第二阶段旨在帮助学生解决他们的困难和误解,加深他们对所学主题的理解。这是通过学生个人参与适当设计的活动和相关反馈来实现的。正如之前的研究所记录的,学生的困难对材料开发有反馈。第三阶段的教育环境利用社会互动来帮助学生重组所学概念的知识。提出的教育设置的网络应用表明,计算机科学(CS)一年级学生对基本计算机体系结构概念的理解有所改善,学生的链接推理技能也有所进步。这些结果鼓励在教学过程中整合根据建议设置的干预措施,以支持和增强学生对困难概念及其相互关系的理解。
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An Educational Setting to improve Students’ Understanding of Fundamental Computer Architecture Concepts
This paper presents an educational setting that attempts to enhance students’ understanding and facilitate students’ linking-inferencing skills. The proposed setting is structured in three stages. The first stage intends to explore students’ prior knowledge. The second stage aims to help students tackle their difficulties and misconceptions and deepen their understanding of the topics under study. This is attempted through individual student engagement in suitably-designed activities and relative feedback. As recorded in previous research, students’ difficulties feedback on the material development. The third stage of the educational setting exploits social interaction to help students reorganize their knowledge of the concepts under study. The web-based application of the proposed educational setting indicated improvement in first-year Computer Science (CS) students’ understanding of fundamental Computer Architecture concepts and progress in students’ linking-inference skills. These results encourage integration in the instructional process of interventions designed according to the proposed setting in order to support and enhance students’ understanding of troublesome concepts and their interrelations.
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来源期刊
Informatics in Education
Informatics in Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
6.10
自引率
3.70%
发文量
20
审稿时长
20 weeks
期刊介绍: INFORMATICS IN EDUCATION publishes original articles about theoretical, experimental and methodological studies in the fields of informatics (computer science) education and educational applications of information technology, ranging from primary to tertiary education. Multidisciplinary research studies that enhance our understanding of how theoretical and technological innovations translate into educational practice are most welcome. We are particularly interested in work at boundaries, both the boundaries of informatics and of education. The topics covered by INFORMATICS IN EDUCATION will range across diverse aspects of informatics (computer science) education research including: empirical studies, including composing different approaches to teach various subjects, studying availability of various concepts at a given age, measuring knowledge transfer and skills developed, addressing gender issues, etc. statistical research on big data related to informatics (computer science) activities including e.g. research on assessment, online teaching, competitions, etc. educational engineering focusing mainly on developing high quality original teaching sequences of different informatics (computer science) topics that offer new, successful ways for knowledge transfer and development of computational thinking machine learning of student''s behavior including the use of information technology to observe students in the learning process and discovering clusters of their working design and evaluation of educational tools that apply information technology in novel ways.
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