Literature Review on Self-efficacy and Chinese Learning Motivation of Deaf Students
Bibliographic record
Abstract
The 14th Five-Year Plan of Action for the Development and Improvement of Special Education emphasizes the need to promote the high-quality development of special education. As an important object of special education, the learning condition of deaf students has always been the focus of scholars' attention. In order to further meet their own learning and development needs, deaf students need to continuously improve their learning ability, improve learning strategies, improve the motivation of Chinese learning, and enhance self-efficacy. In this paper, the literature on self-efficacy and Chinese learning motivation of deaf students is systematically reviewed. Among them, the self-efficacy of deaf students includes three aspects: the learning efficacy of deaf students in primary and secondary schools, the academic self-efficacy of deaf college students and their career decision-making self-efficacy. The Chinese learning motivation of deaf students includes two parts: writing motivation, learning strategy and motivation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".