Students' characteristics in programming learning and the design of a mobile learning platform
by Chan Tong Lam; Wei Ke; Sio Kei Im; Anabela Gomes; António José Mendes; Maria José Marcelino
International Journal of Mobile Learning and Organisation (IJMLO), Vol. 13, No. 4, 2019

Abstract: We studied the correlations between novice students' performance in an introductory programming course and their learning characteristics and styles as well as their motivations toward this difficult area. Based on the findings, we then provided a conceptual design of a mobile learning platform for enhancing their performance, using the most prevalent messaging and social media applications (APPs) among the students. The study took place in two different academic years for students taking introductory programming courses at Macao Polytechnic Institute in Macao and the University of Coimbra in Portugal. We compared the results of the two samples and found that although we could not establish correlations in many cases, we were able to get some insights on some context and teaching aspects that might be improved. The most important factor to improve the students' performance in their first programming course is to enhance their confidence and motivation in a visual learning environment.

Online publication date: Fri, 14-Jun-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mobile Learning and Organisation (IJMLO):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com