A Study On Learner Readiness For MobileLearning At Open University 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
Prior to embarking on mobile learning, a study was conducted to determine the readiness of learners at the Open University Malaysia (OUM), Malaysia’s first open and distance learning university. The study conducted in the last quarter of 2008 attempted to determine, among others, the extent of ownership of a mobile phone, readiness to be a mobile learner as indicated by questions such as willingness to buy a new mobile device and preparedness to subscribe to additional mobile services, types of materials they would like to receive and their perceptions about m-learning. Out of a total of 6,000 questionnaires distributed, 2,837 were returned. The respondents were from 31 learning centres from all parts of the country. Most of the respondents were between 31 and 35 years old and were largely undergraduates. The findings indicate that almost all (98.91 percent) learners at OUM have a mobile phone and that 82.84 percent of the respondents can imagine themselves learning through mobile devices. When further questioned, 47.98 percent of the learners stated they would be ready for m-learning within six months and another 15.73 percent believed they will be ready within 6 to 12 months. In other words, 63.71 percent of students are ready for m-learning within the next 12 months. The paper highlights the findings and implications to the m-learning project at the university
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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