A Framework for Developing Deeper Self-Directed Learning in Computer Science Education

Author:

van Zyl Sukie1ORCID

Affiliation:

1. Research Unit Self-Directed Learning, Faculty of Education, North-West University, Potchefstroom, South Africa

Abstract

To prepare students for the challenges of the Fifth Industrial Revolution, it is essential to cultivate deeper self-directed learning (DSDL) in computer science education. The process of DSDL empowers students to take ownership of their learning, enabling them to transfer their knowledge and skills to unfamiliar contexts. The proposed DSDL framework is anchored in cognitive load theory and social constructivism and draws upon three core concepts: the organization of course content; teaching and learning methods rooted in cooperative learning; and the characteristics of tasks. The importance of structuring course content to offer an initial holistic overview of key concepts, followed by deeper cycles of revisiting and reinforcing these concepts is underscored. Teaching and learning methods, such as cooperative pair programming and cooperative pair problem solving, are recommended. Moreover, the framework advocates for the adoption of a whole-task approach, involving authentic, complex tasks that encourage students to grapple with challenges and to learn from their failures.

Publisher

IGI Global

Reference53 articles.

1. Retrieval practice & Bloom’s taxonomy: Do students need fact knowledge before higher order learning?

2. A systematic literature review of student engagement in software visualization: a theoretical perspective

3. Bailey, R., & Mentz, E. (2017). The value of pair programming in the IT classroom. The Independent Journal of Teaching and Learning, 12(1), 90–103.

4. Taking beautiful risks in education.;R. A.Beghetto;Educational Leadership,2018

5. Refutation texts enhance spontaneous transfer of knowledge

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3