Barriers and Opportunities of E-Learning Implementation in Iraq: A Case of Public Universities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p class="2">Although the implementation of e-learning initiatives has reached advanced stages in developed countries, it is still in its infancy in many developing nations and the Middle East in particular. Recently, few public universities in Iraq have initiated limited attempts to use e-learning alongside traditional classrooms. However, different obstacles are preventing successful adoption of this technology. The present research aimed to highlight challenges that hinder effective implementation of e-learning in Iraq and recommend possible solutions to tackle them. A total of 108 respondents voluntarily participated in this research. They consisted of academic staff (N=74), professors in charge of e-learning (N=3), and undergraduate students (N=31). Three methods were used to collect data: a survey instrument, semi-structured interviews, and focus groups. Data was then analyzed and reported quantitatively and qualitatively. This provided in-depth understanding to the current status of e-learning in public Iraqi universities and highlighted major hindrances of its successful application. Based on this analysis, the study proffered many recommendations that should be considered in order to fully benefit from e-learning technologies.</p>
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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 | 0.009 | 0.002 |
| 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 it