Impact of Motivation on Intentions in Online Learning: Canada vs China
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 is one of the few empirical studies to examine students’ acceptance of a web-based learning system (WLS). By incorporating intrinsic motivator into the technology acceptance model, our model attempts to explain students’ behavioral intention in using the system from a motivational perspective. Unlike most studies using subjects from developed countries, this study aims to extend knowledge by examining WLS adoption and usage behavior in a developing country (China) and then compares with findings of the same examination using Canadian subjects. The results show that both perceived usefulness and enjoyment have significant impact on students’ intention to use WLS in two groups. However, in contrast to Chinese subjects, Canadian subjects do not think ease of use has impact on their intention to use WLS. Implications of this study are important for both researchers and practitioners, especially for institutions of higher education, planning to adopt WLS in the two countries.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it