Drivers of Mobile Learning App Usage – Measurement Model (DMLU-MM)
Assesses the psychological, motivational, and readiness factors that drive mobile learning (m-learning) app usage.
Scale Development & Technical Details
Scale Overview
The Drivers of Mobile Learning App Usage – Measurement Model (DMLU-MM) was developed by Ching-Hsuan Yeh, Yi-Shun Wang, Yu-Min Wang, Ting-Jun Liao (2023). It is designed to measure Mobile learning app acceptance and usage drivers. The scale is intended for use with Adults (18 years and older).
Scale Structure
This instrument consists of 70 items organized into 10 factors/subscales: Extraversion, Conscientiousness, Openness to experience, Agreeableness, Neuroticism, Locus of control, Mobile learning readiness, Intrinsic motivation, Extrinsic motivation, Intention to use m-learning apps.
| Factor / Subscale | Items | N |
|---|---|---|
| Extraversion | 1,2,3,4,5,6,7,8 | 8 |
| Conscientiousness | 9,10,11,12,13,14,15,16,17 | 9 |
| Openness to experience | 18,19,20,21,22,23,24,25,26,27 | 10 |
| Agreeableness | 28,29,30,31,32,33,34,35,36 | 9 |
| Neuroticism | 37,38,39,40,41,42,43,44 | 8 |
| Locus of control | 45,46,47,48,49,50,51,52,53,54 | 10 |
| Mobile learning readiness | 55,56,57,58,59,60 | 6 |
| Intrinsic motivation | 61,62,63 | 3 |
| Extrinsic motivation | 64,65,66,67 | 4 |
| Intention to use m-learning apps | 68,69,70 | 3 |
Response Format
Respondents rate each item using a 7-point Likert scale (1 = Strongly Disagree to 7 = Strongly Agree).
Scoring
Items are scored by subscale, with each subscale sum representing a distinct dimension.
Psychometric Properties
Internal Consistency: The scale has demonstrated good to excellent internal consistency with reported Cronbach’s alpha values of Cronbach's alpha values ranged from 0.87 to 0.95 across subscales.
Administration
The scale is self-administered and typically takes approximately 15 minutes to complete. It can be administered individually or in group settings. No special training is required for administration.