Evaluating the Use of Learning Objects for Secondary School Science
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
A learning object is an interactive web-based tool that supports learning by enhancing, amplifying, and guiding the cognitive processes of a learner. To date, no formal research has been done on the use of learning objects in secondary school science classrooms. The purpose of this study was to evaluate the use of learning objects developed for high school students in areas of biology, chemistry, or physics. The evaluation metric used to assess the benefi ts and quality of learning objects was theoretically sound, reliable, and partially validated. Two thirds of the students stated they benefi ted from using the learning object. Teachers confi rmed that learning objects were benefi cial to student learning and that they would use them again. Students benefi ted more if they were comfortable with computers, the content was perceived as being useful, instructions were clear, and the theme was fun or motivating. Students appreciated the motivating, hands-on, and visual qualities of the learning objects most. Computer comfort and learning object type, but not gender, were signifi cantly related to learning object quality and benefi t.
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 | 0.027 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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