The Impact of Information Technology on Developing Creative Writing Skills and Academic Self-Efficacy for Undergraduate Students
Bibliographic record
Abstract
The current study aimed to construct a strategy based on information technology for teaching English (English Course 102), and assess its impact on developing creative writing skills and academic self-efficacy for university students. A test of creative writing skills (fluency, flexibility, and originality) was also prepared, including (9) graded open-ended essay questions in creative writing skills, also the preparation of the academic self-efficacy scale, including (25) items in the following dimensions: the student’s self-motivation to learn; the student’s confidence in the ability to achieve; perseverance and continuity in learning; self-regulation of learning and recall habits. The study based on the experimental method, involving two groups, the experimental and the control group (pre-post). The study sample consisted of (64) second-year university students studying the course (English 102), which aims to develop language proficiency in academic writing skills. The sample was divided into two groups: experimental (32) and control (32). Results indicated that: There are statistically significant differences at level (α ≤ 0.01) between the mean scores of the students from the experimental and control groups in the post application for testing creative writing skills and each skill separately in favor of the experimental group, there are statistically significant differences between the mean scores of the experimental group students in the pre and post applications for testing creative writing skills and each skill separately and also of the academic self-efficacy scale and each dimension separately in favor of the experimental group , there are statistically significant differences between the mean scores of the students from the experimental and control groups in the post application of the academic self-efficacy scale and each dimension separately in favor of the experimental group, and there is a positive correlation between scores of the experimental group in favor of the post application of the creative writing test and their scores on the academic self-efficacy scale.
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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 | 0.001 | 0.163 |
| 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 | 0.000 |
| 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".