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Record W2908260616 · doi:10.14288/1.0369276

STEM outreach facilitation as a catalyst for 21st century teacher education

2018· article· en· W2908260616 on OpenAlexaboutno aff
Carlos C. F. Marotto

Bibliographic record

VenuecIRcle (University of British Columbia) · 2018
Typearticle
Languageen
FieldComputer Science
TopicDigital literacy in education
Canadian institutionsnot available
Fundersnot available
KeywordsOutreachFacilitationPublic relationsMedical educationPedagogyPolitical sciencePsychologyBusinessMedicineLaw

Abstract

fetched live from OpenAlex

This study provides an in-depth description of teacher candidates (TCs)’ experiences of their participation in a family-oriented science, technology, engineering, and mathematics (STEM) outreach event organized at a Canadian university. In the event, TCs facilitated mentally-engaging hands-on activities to the public as part of a General Science Secondary Methods course. The aim of the study is to further knowledge of the possible role of STEM outreach in teacher education programs, and to learn how this outreach experience impacts TCs’: a) pedagogical content knowledge (PCK); b) communication skills; c) motivation to teach STEM; and d) understanding of how STEM can be taught and learned effectively. This study is situated within a social-constructivist theoretical framework and employed an intrinsic case study methodology with a Partially Mixed Concurrent Dominant Status Design. Although the quantitative facet of the study was given less weight, it informed the analysis of the qualitative data. The data from the pre-event survey (n=29) revealed TCs’ passion for STEM as their greatest self-reported strength, whereas their lack of PCK was self-reported as their greatest limitation. Moreover, the participants predicted that activity facilitation at the event would enhance their teaching skills by allowing them to put their content knowledge into practice to facilitate visitors’ learning experiences. Furthermore, the findings from post-event focus group discussions (n=46) and individual interviews (n=9) indicated that this outreach experience enabled TCs to: a) expand pedagogical content knowledge; b) increase awareness of the role of effective communication on STEM teaching and learning; c) increase or reinforce appreciation of STEM hands-on activities for cognitive and affective reasons; d) enhance or strengthen understanding of the importance of parental engagement with children’s STEM education; and e) put in practice some of the theories learned in the teacher education program. Evidence of the above emerged through TCs’ engagement in the event preparation, activity facilitation at the event, and post-event reflections.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0100.003
Scholarly communication0.0030.001
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.009
GPT teacher head0.210
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2018
Admission routes1
Has abstractyes

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