A Piece of the (Ed)Puzzle: Using the Edpuzzle Interactive Video Platform to Facilitate Explicit Instruction
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
Whether to embrace “flipped” pedagogy or to problem solve during a pandemic, many teachers utilize video to deliver instruction to students. Watching a video can be a passive activity without a person or a tool to facilitate active engagement. As a result, many teachers find the need to look for tools, methods, and platforms to engage learners, add elements of interactivity, and incorporate effective instructional practices into their video lessons. In this manuscript, we describe how a specific technology, Edpuzzle, can help facilitate video lessons that include explicit instruction elements such as eliciting frequent responses, offering supported practice, providing immediate affirmative and corrective feedback, and monitoring student performance. When paired with well-designed videos, teachers can use this tool to deliver effective instruction in an asynchronous environment.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it