Immersive Interactive Learning Environments (A PhD Case Study)
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
Teaching and learning is no longer the same and the paradigm shift has not settled yet. In this study we frame immersive learning as a method which we believe can be designed by experiential, constructivist, and collaborative elements. We then present a peer to peer interactive web-based learning tool, which was designed, and implemented in-house and piloted in a PhD course on ‘Pedagogical Methods’. We present the results showing how the learning tool has immersive elements and the student outcomes. The tool engages students to learn a specified subject matter, synthesize the information, create question and rate their peer’s questions. Tests are then generated by professor from the students’ questions. Student performance shows that in such a context, students who spent more time doing the test scored less. In the results section, we also present the item response theory as a more appropriate analysis tool to assess and study immersive learning, and provide examples.
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 | 0.001 |
| 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 | 0.001 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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