The effects of interactive mini-lessons on students’ educational experience
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
With the shift to online learning, many instructors have been forced into course delivery that involves educational lecture videos. There are a number of different elements that impact the quality of educational videos and overall student experience (e.g. instructor eye gaze, audio levels, screen sizing). More specifically, research has demonstrated that segmented videos have educational benefits over the traditional didactic ones. The present experiment aimed to examine whether interspersed interactive content could increase post-secondary students’ retention and engagement above simple segmentation. As such, young adults experienced one of four lesson types: didactic video, segmented videos, segmented videos with interactive content, and a condensed version of the interactive segmented videos. Then, they were asked to complete an engagement scale, an online learning experience questionnaire, and a surprise test. The results demonstrated a performance benefit to segmented videos for post-secondary students who prefer to learn in person as opposed to online.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it