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Title: Dataset of mobile learning effectiveness on learning computer programming in community college
Authors: Chiu, HS 
Keywords: Academic performance
Community College
Computer Programming
Mobile apps
Mobile learning
Mobile learning experience
Pedagogical strategies
Issue Date: 2019
Publisher: Elsevier
Source: Data in brief, 2019, v. 26, 104525 How to cite?
Journal: Metals 
Abstract: While learning through mobile devices, or mobile learning, has been proven feasible [1,2], its effectiveness is still in doubt as contradictory research results were observed [3–5]. In this dataset, the data collected from the experiments on mobile learning effectiveness is presented. The subject Computer Programming was used in the experiments because technical competence is one of the key success factors of mobile learning [6]. Computer Programming is an essential skill for all technical fields. It is therefore a compulsory foundation subject for all technical-related sub-degree programmes in Hong Kong Community College. Instead of comparing immediate pre-test and pro-test results, the entire subject performance of 1434 students in cohorts 2015 to 2017 was evaluated. By having different settings of mobile learning environment for each cohort, the effectiveness of mobile learning could be observed. The data collected was statistically analysed by one-way ANOVA with Turkey HSD post-hoc test. Students’ mobile learning experience was also evaluated by survey results using a 5-point Likert Scale questionnaire. The dataset in this paper should provide researchers and educators with further information on how mobile learning could be effectively implemented along with the pedagogical strategies.
ISSN: 2352-3409
DOI: 10.1016/j.dib.2019.104525
Rights: © 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (
The following publication Chiu, H. S. (2019). Dataset of mobile learning effectiveness on learning Computer Programming in Community College. Data in brief, 26, 104525, is available at
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