Predictors of Learning Satisfaction in Japanese Online Distance Learners
Bibliographic record
Abstract
Japanese distance education has been slow to utilize the Internet, and mainly depends on the mail system and to a lesser extent TV broadcasting as its mode of delivery. However, since 2001 regulations have been relaxed to allow students to complete all course requirements for a university degree via online distance learning. This paper reports the results of a questionnaire study administered to the students (N=424) enrolled in one of Japan’s few online distance universities. Satisfaction with learning was explored by examining student opinions and learning preferences in regard to five aspects of distance learning identified as important: 1) teacher interaction, 2) content interaction, 3) student interaction, 4) computer interaction and 5) student autonomy. In addition, student responses to three open-ended questions were included in the analysis. The results indicated students were generally satisfied with their learning, and that specifically, learning satisfaction was higher for students who: 1) could persevere in the face of distance learning challenges, 2) found computers easy to use, 3) found it easy to interact with instructors, and 4) did not prefer social interaction with others when learning.
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How this classification was reachedexpand
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".