The Proper Use of Technologies as a Digital Citizenship Indicator: Undergraduate English Language Students at Al-Hussein Bin Talal University
Why this work is in the frame
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Bibliographic record
Abstract
The paper investigates the technology usage as a digital citizenship indicator among undergraduate English languagestudents at Al-Hussein Bin Talal University (AHU) in Jordan. Digital citizenship with its nine elements: Etiquette,Communication, Education, Access, Commerce, Responsibility, Rights, Safety, and Security are connected to all lifeaspects. It is hard to ignore the increasing misuse phenomenon of the emerging technologies. This paper shed thelight on how the students within their university campus use technologies in a citizenship manner. A measurementtool worked as a test to reveal students technology usage as an indicator of their digital citizenship. Results of thestudy revealed that students do not properly use technologies as a digital citizenship indicator. The study includedrecommendations to overcome technology usage within university campus.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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 it