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Record W3046720807 · doi:10.1177/0264619620946071

Developing pre-service O&M specialists’ reflective practices to improve problem-solving opportunities during instruction

2020· article· en· W3046720807 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

VenueBritish Journal of Visual Impairment · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsProcess (computing)Service (business)PsychologyThink aloud protocolQualitative researchMedical educationCritical thinkingPedagogyMathematics educationComputer scienceMedicineSociology

Abstract

fetched live from OpenAlex

The ability of instructors to promote problem-solving abilities is an important pedagogical skill. Providing well-planned problem-solving opportunities is especially vital in orientation and mobility (O&M) lessons. During personnel preparation programs, pre-service O&M specialists would benefit from developing a keen awareness of how well they encourage problem-solving in their instruction. This mixed-methods study reports on a process in which nine pre-service O&M specialists engaged during their blindfold techniques course. Each participant taught two lessons to a peer in their course, engaging in a retroactive think-aloud after each lesson. The process focused participants on the types of questions they asked to promote thinking and engaged them in reflection on how well the lesson met their intended objectives. Results indicated qualitative benefits noted by the participants of engaging in the process and also highlighted a need for further work with pre-service O&M specialists on question asking and allowing problem-solving and thinking opportunities during basic lessons.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.082
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.247
GPT teacher head0.443
Teacher spread0.196 · 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