A Study of Teaching Practices in Science under the Guidance of Embodied Cognition Theory
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
With the increasing proliferation and integration of science and technology in contemporary society, there has been a substantial surge in both the quantity and quality of individuals' demand for science education. As a result, the previously overlooked issue of science teaching has garnered attention from all stakeholders. The implementation of the Science Curriculum Standards for Compulsory Education (2022 Edition) (hereinafter referred to as the 'New Science Curriculum Standards') has expedited reforms in science education and provided explicit guidance for enhancing science teaching. Concurrently, embodied cognition theory, as a modern cognitive theory of learning, holds significant relevance to the field of science. Reassessing students' cognitive patterns within this framework offers fresh insights into addressing current challenges encountered in primary school science teaching and exploring practical strategies that align with modernized teaching and learning requirements: i. Enhancing exploration through immersive and dynamic multiple teaching contexts; ii. Promoting school-based curricula to foster family practice and social projects; iii. Utilizing universally accessible and user-friendly technological learning products while exploring online-offline modes for embodied teaching and learning.
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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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