Interdisciplinarity in Education: Overcoming Fragmentation in the Teaching-Learning Process
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
The importance of interdisciplinarity in the teaching-learning process has been much debated. This topic has challenged schoolteachers, who do not always manage to integrate interdisciplinarity into the school routine. This paper emerged from the discipline Research Methodology taught at the postgraduate course in education of Universidade Federal do Triângulo Mineiro. During this course, we sought to gain knowledge about the academic production related to interdisciplinarity in the teaching-learning process, mainly in terms of teacher training and teaching practice, published in dissertations and theses. We explored contents published from 2011 to 2016 in Brazil. The covered period was based on a search for recent productions on the proposed theme, conducted by using the database of the Brazilian Digital Library of Theses and Dissertations. Analyses of the documents pointed to the need to work interdisciplinarity during teacher training courses and to adopt an interdisciplinary posture in daily teaching practice in schools. These practices should help to overcome compartmentalization of the teaching-learning process and to provide students with a global view of the world.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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