Engaging Students in Science: The Potential Role of “Narrative Thinking” and “Romantic Understanding”
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
Engaging students in science and helping them develop an understanding of its ideas has been a consistent challenge for both science teachers and science researchers alike. Such a challenge is even greater in the context of the “Science for All” curriculum initiative. However, Bruner’s notion of “narrative thinking” and Egan’s “romantic understanding” offer an alternative approach to teaching and learning science, in a way that engagement and understanding become a possibility. This chapter focuses on students’ “narrative mode of thought”, as a bridge to understanding science—which has traditionally been based more upon the use of logico-mathematical thinking in the upper grades—and on a distinctive form of understanding the world, characteristic of students of the age range from eight to fifteen years. This latter form of understanding, that the educational theorist Kieran Egan calls “romantic understanding”, has features that can be readily associated with the natural world and its phenomena. Therefore its development could be fostered in the context of school science learning, and in a way that the narrative mode would also be taken into consideration.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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