Technology for Teaching and Learning: Moodle as a Tool for Higher Education.
Bibliographic record
Abstract
Many Canadian Educational Psychology classes currently emphasize and model constructivist teaching practices in addition to integrating the notion of connectivity and Web 2.0 into educational theory. This study examines ‘Moodle1 ’ as a technological tool to further enhance participation and performance in addition to the regularly used ‘semiotic tools ’ and social-dialogical activities found in a teacher education program. Similarly, discourse and narrative are described as a mode of thinking, as a structure for organizing our knowledge, and as a vehicle in the process technology and higher education. How can a program of learning be assisted with structuring the delivery and organization of knowledge? The implementation of constructivist2 notions of theory into practice has been attempted in many learning environments, and most recently in technology and higher education (Doolittle, 1999; Roth & Lee, 2007). Vygotsky’s cultural-historical theory of psychological development informed the foundation of sociocultural theory and constructivist practices of
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".