A Study of Saudi Students’ Attitude Towards E-learning Through Blackboard During Covid-19
Bibliographic record
Abstract
The objective of this study was to study students’ attitudes toward incorporating Blackboard into the teaching of English language learning courses during Covid-19. The sample consisted of 179 non-English-major students from a large Saudi University in Saudi Arabia. The study adhered to a mixed-method approach; for quantitative analysis, a survey was conducted to collect data from students, and interviews were taken to collect qualitative data. The quantitative analysis comprised descriptive statistics and correlations using SPSS. The qualitative data was examined through thematic analysis. The findings revealed that most of the students were satisfied with using Blackboard in English language learning courses during Covid-19. Moreover, most students showed an inclination to enroll in an online course in the future. The findings further revealed that English was taught successfully and effectively at a Saudi University in Saudi Arabia during Covid-19. Students preferred learning from Blackboard as it enabled self-education, learning without temporal barriers, ease of use, and diverse material. The researcher also recommended improvements to enhance Blackboard English language learning: activity diversification, communication with teachers, English language use during classes, and weekly lectures and live broadcasts.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".