Students’ perceived impact of learning and satisfaction with blogs
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
Purpose Students’ use of blogging tools in learning environments is increasing across the world. The purpose of this paper is to contribute to the literature by examining the effects of relevant factors that engender satisfaction and positive impacts of the technology for learning. Design/methodology/approach A cross-sectional survey was used to collect data from 108 undergraduate students taking a management information systems course. The partial least squares technique of structural equation modelling was used to test the reliability and validity of the data, and the study’s hypothesised relationships or paths. Findings This study revealed that perceived enjoyment, compatibility, usefulness, ease of use, and confirmation have positive influence on students’ satisfaction with blog use. Perceived enjoyment had the greatest influence on students’ satisfaction with blog use for learning. Perceived impact on learning was positively influenced by perceived ease of use, enjoyment, and satisfaction. Originality/value A limited amount of empirical research has focussed on students’ perceptions of satisfaction and perceived impact on learning through blog use in higher educational contexts. This study adds to the growing literature in this area of study.
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.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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