Multimodal Modeling Activities with Special Needs Students in an Informal Learning Context: Vygotsky Revisited
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
Background:In light of the challenges facing science educators and special education teachers in Singapore, this study entails design-based research to develop participatory learning environments.Material and methods:Drawing upon Vygotskian perspectives, this case study was situated in an informal workshop around the theme of “day and night” working for Special Needs Children (aged from 7 to 14 years old) in Singapore. Moving away from traditional astronomy teaching, we aim to explore interdisciplinary multimodal modeling activities towards developing a participatory learning environment.Results:As the main finings of this case study, the central benefits of interdisciplinary multimodal modeling activities are twofold: (1) promoting multiliteracies development using digital and multimodal resources for supporting the emotional and social experiences in developing learners’ astronomical understanding; and (2) integrating learners’ everyday experiences with scientific astronomical understanding for the development of higher cognitive functions.Conclusions:These findings emphasize the need for the cultural development of Special Needs Children.
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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 | 0.002 | 0.001 |
| 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 | 0.004 |
| Open science | 0.002 | 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