Students Learning Achievement and Satisfaction of Chinese Proficiency Test (HSK1) Reading Courses on the Udemy Platform
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 explore the effectiveness of learning the Chinese Proficiency Test (HSK) 1 reading course through the Udemy platform and assess the learner’s satisfaction with learning the Chinese course on the Udemy platform. The participants were 30 zero-foundation learners with minimal exposure to basic Chinese expressions and were randomly selected from those enrolled in the Chinese course on Udemy. The pretest and post-test were designed for this study, and the researchers sent the satisfaction survey to the Chinese language learners to investigate the learners’ satisfaction. The findings revealed that the students’ post-test scores were significantly higher than the pretest scores; the current online Chinese language courses benefit students in learning the language. The satisfaction survey results showed that learners were satisfied with learning Chinese courses on the Udemy platform.
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 | 0.002 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 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 it