EFFECTS OF USING DIGITAL CONTENTS DESIGNED FOR PDA AS A TEACHING AID IN AN OBSERVATIONAL LEARNING OF PLANKTONS FOR FIELDWORKS ON A SHIP
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
We developed “The World of Planktons in Lake Biwa,” which is digital contents for use as a teaching aid in the observational learning of planktons that is conducted aboard a ship as part of science lessons. This content consists of a search page with 350 still images to be used to search and identify over 200 types of planktons living in Lake Biwa; pages providing 45 video clips of actions that are difficult to observe directly, such as the hatching of plankton eggs and cell division; pages explaining cell division; and a “digital sketch” page on which students can upload and publish hand-drawn pictures. The developed content was used in actual lessons for fifth-grade primary school students observing planktons aboard a ship. We validated the effectiveness of the digital content from the perspectives of (1) “interest, motivation, and attitude”; (2) “thinking and judging”; (3) “technique and expression”; and (4) “knowledge and understanding.”
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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