Creation of a Knowledge Society via the Use of Mobile Blog: A Model of Integrated Meaningful Hybrid E-training
Bibliographic record
Abstract
Mobile blog or “moblog” provides a coherent purpose for strategic educational change through lifelong education and the creation of a knowledge society. Many studies have been conducted on using conventional blogs in teaching and learning yet only few have focused on moblogs. Moblogs allow trainers to empower themselves through the acquisition of both explicit and tacit knowledge. Thus, this study aims at designing, developing and implementing moblogs as a platform for a new hybrid e-training approach, which was tested to generate a two-stage model for meaningful hybrid e-training. The data were collected from 213 Information Communication Technology (ICT) trainees which were subsequently tested using confirmatory factor analysis with AMOS 7.0 to obtain the best-fit measurement model for an integrated meaningful hybrid e-training model using moblogs. The results revealed that: (i) hybrid e-training influenced the achievement of meaningful e-training; (ii) learning styles influenced the acceptance of hybrid e-training; and (iii) learning styles preferences influenced the achievement of meaningful e-training.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".