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Record W4378800964 · doi:10.1145/3569173.3569177

Active Learning Methods applied to an Environmental Awareness Course for CS majors

2022· article· en· W4378800964 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsCurriculumClass (philosophy)Active learning (machine learning)Subject (documents)Mathematics educationWork (physics)Course (navigation)Computer sciencePedagogyEngineering ethicsSociologyPsychologyEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.011
GPT teacher head0.299
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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