Active Learning Methods applied to an Environmental Awareness Course for CS majors
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 world has undergone major social changes in the last decades, leading us to a digital society. Although we have deeply changed the way we think, one subject has not changed in some countries such as Brazil: education. Brazilian students still sit in the classroom for hours while watching a professor speak. Even in undergraduate technology majors, such as Computer Science, the traditional learning methods remain and few innovations can be seen. This work shows a new curriculum for a discipline about environmental responsibility for undergraduate students in technology at a Brazilian university. The goal is to change the learning method using active learning, in which students are the protagonists of their own learning, while the professor acts only as a guide. Each class is 4 hours long and will be based on a different learning approach, therefore it must be self contained and well organized with a clear goal, so the professor can properly guide students to obtain the desired knowledge. This is a first step to change the way we see education to technological majors at our university, trying to bring innovation and new learning methods to a traditional environment.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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