The Effectiveness of an Interactive Training Program in Developing a Set of Non-Cognitive Skills in Students at University of Petra
Bibliographic record
Abstract
This study aimed to investigate the effectiveness of interactive training programs in developing a set of non-cognitive skills in students at the University of Petra. Furthermore, it sought to examine the impact of the sex, academic year, and university major variables on developing these skills in students who underwent the training program, as well as whether a correlation exists between the GPA of students in the experimental group and how they acquired these non-cognitive skills. The study focused on the following six non-cognitive skills: (a) locus of control; (b) planning; (c) empathy; (d) self-confidence; (e) growth mindset; and (f) grit. The study sample was randomly distributed into three groups: the first (Group A) attended an interactive training program; the second (B) attended a training course using a traditional teaching strategy; while the third (C) did not attend any programs whatsoever. The researchers have designed an interactive training program and a questionnaire to measure the sample’s non-cognitive skills on all six dimensions. The results indicate statistically significant differences between the different teaching methods used on all three groups (A, B, and C) in the overall test, as well as on three dimensions of empathy, growth mindset, and grit in favor of the experimental group (A). Additionally, findings have revealed no significant differences in the extent to which students in the experimental group (A) have acquired non-cognitive skills on the variables of sex, academic year, and university major. Moreover, the study did not show significant correlation between the extent to which students acquired these non-cognitive skills and their GPAs.
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.
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 | 0.001 |
| 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 | 0.000 |
| 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".