The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Teaching and Learning of Computer Science in Higher Education: A Self-Directed Learning Perspective
Abstract
This chapter focuses on the evolving landscape of computer science education in higher institutions, emphasizing the need to prepare students for a rapidly changing technology industry. It explores the integration of self-directed learning techniques in computer science courses to enhance outcomes, engagement, and critical skills like problem-solving. The chapter compares traditional instruction with self-directed learning, highlighting the benefits of the latter in terms of motivation, autonomy, and understanding complex computer science concepts. It reviews existing research in this area and introduces a conceptual framework aligning self-directed learning principles with core computer science concepts.
Related Content
Erkkie Haipinge, Leila Goosen.
© 2024.
20 pages.
|
William Simão de Deus, Fernando Cesar Balbino, Leonardo Vieira Barcelos, Ellen Francine Barbosa.
© 2024.
20 pages.
|
Chantelle Bosch.
© 2024.
25 pages.
|
Sukie van Zyl.
© 2024.
23 pages.
|
Mncedisi Christian Maphalala, Oluwatoyin Ayodele Ajani.
© 2024.
23 pages.
|
Nomasonto Mthembu, Wanjiru Gachie.
© 2024.
17 pages.
|
Francesco Maiorana, Andrew Csizmadia, Giusy Cristaldii, Charles Riedesel.
© 2024.
20 pages.
|
|
|