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ERIC Number: EJ1155100
Record Type: Journal
Publication Date: 2017-Oct
Pages: 33
Abstractor: As Provided
ISSN: ISSN-0735-6331
Investigating Students' Acceptance of a Statistics Learning Platform Using Technology Acceptance Model
Song, Yanjie; Kong, Siu-Cheung
Journal of Educational Computing Research, v55 n6 p865-897 Oct 2017
The study aims at investigating university students' acceptance of a statistics learning platform to support the learning of statistics in a blended learning context. Three kinds of digital resources, which are simulations, online videos, and online quizzes, were provided on the platform. Premised on the technology acceptance model, we adopted a revised model consisting of four external factors (self-efficacy, facilitating conditions, subjective norm, and anxiety) that may influence students' perceptions and acceptance of the platform. A mixed research method was used. A total of 102 participants were involved in this study. Data collection includes questionnaires survey, individual interviews, and focus group discussions. The findings show that students' intention to use the platform is affected by their attitude toward the platform, which is significantly influenced by perceived usefulness. Further suggestions regarding the design and implementation of a learning platform are provided based on the observations and results of the study. This preliminary study provides valuable insights into our further refinement of the platform and development of a learning analytics platform in the future for better learning of students in statistics.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Hong Kong
Grant or Contract Numbers: N/A