Constraints and Contributors Towards the Use of Computer Simulations in Manitoba Chemistry Classrooms: Content is Still King
Bibliographic record
Abstract
Manitoba Education Citizenship and Youth (MECY) recently redesigned Grade 11 and 12 Chemistry curricula in an effort to be responsive to new developments in chemistry education research. In order to support the teaching of the microscopic level of chemistry, the new curricula encourage the use of technology and computer simulations into specific outcomes to aid meaning making of abstract chemistry concepts by students. This study identifies constraints and contributing factors to the use of computer simulations to facilitate student meaning making in chemistry. A questionnaire survey and case study approach informed by Urie Bronfenbrenner’s bio-ecological model was used to identify factors. The results of this survey show the chemistry teaching inventory of teachers has become more diversified. Although teachers are using technology as differentiated instruction, their pedagogical use of technology is primarily for content dissemination rather than utilizing the technology to assist students in a deep understanding of chemistry ideas.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".