University Students’ Attitudes toward the Formal Integration of Facebook in their Education: Investigation Guided by Rogers' Attributes of Innovation
Bibliographic record
Abstract
The aim of the study was to examine students’ attitudes toward the formal integration of Facebook in their education at Al- Hussein Bin Talal University and to examine the relationship between their attitudes and their perceptions of Facebook’s attributes. The investigation was guided by Rogers' (2003) attributes of innovation. A descriptive method was adopted in which a questionnaire was used to collect data from 99 undergraduate university students from the college of education. The results show that the students have positive and high attitudes toward the formal integration of Facebook in their teaching. In addition, the students have positive perceptions of Facebook in terms of its relative advantage, ease of use, compatibility, trialability, and observability. Furthermore, Regression analysis showed that 46% of the variance of the students’ attitudes toward the formal integration of Facebook in their education can be accounted for by its linear relationship with the five independent variables: relative advantage, ease of use, compatibility, trialability, and observability. Based on the results, set of recommendations were provided.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".