The Extent of Al-Balqa Applied University’s Students’ Perception of the Importance of Means of Information and Communication Technology in High Education in Jordan
Bibliographic record
Abstract
This study aimed to identify the effectiveness of using information technology and communications’ means in the academic education from the perspective of Al-Balqa Applied University’s students. And to achieve this goal, the researchers prepared and developed a questionnaire as a tool of the study including 26 items. The population of the study, which consisted of all the students of Al-Balqa Applied University, was (10434) male and female students according to university’s statistics for the academic year 2013-2014 and the sample of the study which consisted of 500 male and female students was selected by the simple random method. The results of the study showed that the degree of the students’ perceptions of the effectiveness of using information technology and communications’ means in the academic education was high where the total average of the items was (4.02) and it is considered a positive average that indicates a high degree of perception. The results also showed that there were no statistically significant differences attributed to the faculty and the academic level variables on Al-Balqa Applied University’s students’ perception of using means of information technology and communications in the academic education, and there were statistically significant differences attributed to the gender in favor of females. And in light of these results, the researcher presented some recommendations
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".