Virtual Lecture Hall For In-Class And Online Sections
Bibliographic record
Abstract
We further evaluated the Virtual Lecture Hall (VLH) (Cramer, Collins, Snider, & Fawcett, in press), an instructional computer-based platform to deliver PowerPoint slides threaded with audio clips for later review. Students from either an in-class or online section (ns = 810 and 74 respectively) of introductory psychology had access to live recorded lectures via the VLH, made available through the course Web site. Approximately 45% of in-class and 78% of online students used the resource prior to each of two course midterms; 32% of in-class and 50% of online students completed a five-item survey assessing student perceptions of whether the VLH enhanced learning or increased grades, and whether they wanted the resource in other courses. Number of VLH accesses and total duration were calculated. Results showed that regardless of course section, greater VLH use was linked to higher midterm scores, and student perceptions of the VLH were highly favorable. Curiously, whereas in-class students’ VLH use and duration were negatively related to expected grade, that same link was positive for online students. Directions for future research in resource development and implications for educators are discussed.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".