IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Paradigm and Architecture of Computing Augmented Learning Management System for Computer Science Education

Paradigm and Architecture of Computing Augmented Learning Management System for Computer Science Education
View Sample PDF
Author(s): Ebenezer Anohah (University of Eastern Finland, Joensuu, Finland)
Copyright: 2017
Volume: 7
Issue: 2
Pages: 11
Source title: International Journal of Online Pedagogy and Course Design (IJOPCD)
Editor(s)-in-Chief: Chia-Wen Tsai (Ming Chuan University, Taiwan)and Pei-Di Shen (Ming Chuan University, Taiwan)
DOI: 10.4018/IJOPCD.2017040105

Purchase

View Paradigm and Architecture of Computing Augmented Learning Management System for Computer Science Education on the publisher's website for pricing and purchasing information.

Abstract

Literature suggests that existing learning management systems should be extended to integrate learning activities that aim at enhancing comprehension of students in Computer Science education. Therefore, literature has proposed Computing Augmented Learning Management System (CALMS) that meets the needs of online Computer Science education. However, it's unclear the current state of architecture for the CALMS to assist researchers interrogate and extend its modules for online Computer Science education. Pedagogically to ascertain the thinking direction of current Computer Science educators it's also relevant to understand philosophical stance of learning events from the new idea of CALMS for online computer science education. The review reveals that learning events of the CALMS suggest an adaption of moderate constructivism stance for online Computer Science education. The CALMS incorporate annotations, algorithm or animation visualization and automatic assessment for the purposes of computer science education.

Related Content

Sandy I. Ching Wang, Eric Zhi Feng Liu. © 2024. 15 pages.
Hussein Fakhry, Mathew Nicho, Emad Bataineh, Shini Girja. © 2024. 25 pages.
Maha Al-Freih, Heather Robinson. © 2024. 15 pages.
I-Jui Lee, Shyh-Rong Wang. © 2024. 23 pages.
Rajashree Jain, Minal Abhyankar, Prasad Kantipudi MVV, Rajanikanth Aluvalu, Mahesh S. Raisinghani. © 2024. 12 pages.
Rajanikanth Aluvalu, Uma Maheswari V., G.R. Anil, Mahesh S. Raisinghani. © 2024. 13 pages.
Karli Brittz, Montlenyane Madisa, Lizemari Hugo-Van Dyk, Celia Filmalter, Tanya Heyns. © 2023. 16 pages.
Body Bottom