Principles of Curriculum Design and Construction Based on the Concepts of Educational Neuroscience
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 emergence of a wealth of research-based information in the field of educational neuroscience, educators are now able to make more evidence-based decisions in the important area of curriculum design and construction. By viewing from the perspective of educational neuroscience, we can give a more meaningful and lasting purpose of leading to human development with enhanced consciousness or wisdom as the goal of a curriculum. We can better decide on the essential contents of a curriculum that is carried out within a limited time, using the emerging and validating information. Knowledge of educational neuroscience can also be used effectively for instructional design or conveying important messages to learners in the learning support material provided. Further, educators can be better directed in forming appropriate assessment so that learners are prepared for active and deep engagements in the teaching-learning process developing the skills of independence and discovery learning. Educational practitioners, as well as policy-makers, can also promote inclusive practices by directing, designing and constructing a curriculum appropriately especially taking into consideration the characteristics of right cerebral hemispheric oriented visual-spatial or gifted learners. Overall, education professionals can be benefited immensely to take more informed decisions in the process of curriculum design and construction by embracing emerging educational neuroscience principles.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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