Factors Influencing the Students’ Acceptance of E-Learning at Teacher Education Institute: An Exploratory Study in Malaysia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study aimed to identify the level of e-learning acceptance, and factors that influence it, among students at a teacher education institute in Malaysia. Factors involved in the study were usability perceptions, ease of use, lecturer characteristics, information quality, system quality, and technical support. A total number of 230 students were selected as respondents from the third- and final-year students from various undergraduate programmes that employed e-learning. The instrument used in this study consisted of a set of questionnaires containing 49 question items and using five-point Likert scales. The results of the study were analysed using descriptive statistics that derived means and standard deviations. The results show that the key factors influencing the acceptance of e-learning among the students are usability, lecturer characteristics, system quality, the information provided, and available technical support. The findings also show that students' acceptance of e-learning is influenced by the benefits and usefulness of the programme and, as well, saving time and receiving course content that is simple and appropriate to the task.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it