Abstract
In order to successfully deliver Mobile-Based Assessments in any educational setting, it is of great importance to investigate the factors that influence its adoption from the students. The present study aims to explain and predict the Technology Acceptance Model constructs Attitudes towards Using (ATU) and Intention to Use (ITU) mobile-based assessment from the perspective of the Self-Determination Theory of Motivation. 72 medical students answered a survey questionnaire about the use of a mobile-based assessment conducted after the lecture and patient examination procedure. Partial Least Squares (PLS) was used for data analysis. Results show that the main motivational factors of self-determination theory, namely Autonomy, Relatedness and Competency, explain students' attitudes about mobile-based assessment and also predict students' adoption. Our research findings suggest that in order to enhance students' learning motivation, the design and implementation of mobile-based assessments should satisfy the three basic psychological needs for competency, autonomy and relatedness.
Original language | English |
---|---|
Title of host publication | 2014 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL2014) |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 86-90 |
Number of pages | 5 |
ISBN (Electronic) | 9781479947423 |
DOIs | |
Publication status | Published - 19 Jan 2015 |
Event | International Conference on Interactive Mobile Communication Technologies and Learning (IMCL2014) - Thessaloniki, Greece Duration: 13 Nov 2014 → 14 Nov 2014 |
Conference
Conference | International Conference on Interactive Mobile Communication Technologies and Learning (IMCL2014) |
---|---|
Abbreviated title | IMCL2014 |
Country/Territory | Greece |
City | Thessaloniki |
Period | 13/11/14 → 14/11/14 |
Keywords
- medical education
- mobile learning
- mobile-based assessment
- motivation
- self-determination theory
- technology acceptance model
- algorithms
- education
- education computing
- engineering education
- least squares approximations
- surveys
- Mobile telecommunication systems
- design and implementations
- learning motivation
- students
- Educational settings