Integrating Community of Inquiry Framework Principles With Flipped Classroom Pedagogy to Enhance Students’ Perceived Presence Sense, Self-Regulated Learning, and Learning Performance in Preservice Teacher Education
Bibliographic record
Abstract
The purpose of this study was to assess the effectiveness of integrating community of inquiry (COI) framework principles with flipped classroom pedagogy to enhance students’ perceived presence sense, self-regulated learning, and learning performance. A quasi-experimental study was conducted to examine whether integrating COI framework principles with flipped classrooms could enhance college students’ perceived presence sense, self-regulated learning, and learning performance. The participants were 64 third-year male college students in an online course at a teacher education university in Iran in 2021. The study employed the COI Survey, the online self-regulated learning questionnaire (OLSQ), and a teacher-made test to measure learning performance. The results indicated significant between-group differences in perceived presence sense, self-regulated learning, and learning performance (p < 0.001). Integrating COI framework principles with flipped classroom pedagogy was an effective approach to enhancing perceived presence sense, self-regulated learning, and learning performance among teacher education students.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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 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".