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Record W2909433835 · doi:10.24908/pceea.v0i0.13102

Testing an engineering design teaching technique for improving female self-efficacy and belonging in Physics 11 classrooms

2018· article· en· W2909433835 on OpenAlexaffvenue
Katherina V. Tarnai-Lokhorst

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDiverse Educational Innovations Studies
Canadian institutionsCamosun College
Fundersnot available
KeywordsPerceptionSelf-efficacyMathematics educationWorkloadAction planPhysics educationAction (physics)Value (mathematics)Process (computing)PedagogyPsychologyComputer sciencePhysicsSocial psychologyBiology

Abstract

fetched live from OpenAlex

Girls participate equally with boys in Physics11 classrooms in the Greater Victoria Region in BritishColumbia but exhibit lower levels of self-efficacy inphysics, lower beliefs in control over their own destinyand lower perceptions of the value of physics as a career.The hypothesis tests a new paradigm for teachinghigh school physics that is demonstrably simple toimplement, eases teacher workload and creates aneffective tool to enhance student learning. Developedusing participatory action research with Physics 11teachers, an unconventional lesson plan guidesfacilitators of learning through a discovery-basedteaching paradigm that constructs knowledge using theengineering design process.Survey data reveals the activity may significantlydispel gendered perceptions by eliminating differences in beliefs of boys and girls in Physics 11 and increasestudents’ level of comfort in the classroom, factorspredicted to influence self-efficacy.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.228
Teacher spread0.206 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2018
Admission routes2
Has abstractyes

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