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Record W2125776061

Supporting Elementary Pre-Service Teachers to Teach STEM Through Place-Based Teaching and Learning Experiences

2014· article· en· W2125776061 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

VenueThe Electronic Journal of Science Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMathematics educationPerceptionScience educationPedagogyTeacher educationSchool teachersPsychology
DOInot available

Abstract

fetched live from OpenAlex

Although recent educational reforms emphasize the importance of Science, Technology, Engineering, and Mathematics (STEM), many elementary teachers feel less knowledgeable about STEM content and less comfortable teaching STEM than other subjects. This study examined a teacher education program that utilized place-based pedagogies within an integrated block of science, mathematics and social studies methods courses to support elementary preservice teachers’ development as teachers of STEM. Data were collected on elementary preservice teachers’ perceptions of their experiences as they participated in, planned, and enacted integrated place-based STEM education lessons. Findings indicate that experiences with STEM learning and teaching through integrated, place-based activities had a positive impact on preservice teachers’ understanding of place-based approaches, their perceived ability, and projected intent to design and implement place-based STEM learning activities.

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)0.020
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.329
Teacher spread0.318 · 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