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Record W4394688120 · doi:10.3389/feduc.2024.1331293

The impact of observers’ beliefs on the perceived contribution of a Research Lesson

2024· article· en· W4394688120 on OpenAlexaff
Daniela Caballero, Eliacim Mella-Defranchi, Roberto Araya

Bibliographic record

VenueFrontiers in Education · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsMcMaster University
FundersAgencia Nacional de Investigación y Desarrollo
KeywordsPsychologyComputer scienceMathematics educationApplied psychology

Abstract

fetched live from OpenAlex

Recently, Lesson Study (LS) has gained popularity in countries worldwide because of its potentially positive effects on teachers’ practices (e.g., reflection, cooperation, and pre-service development) and students’ learning. However, despite global interest in LS’s implementation, an important gap exists between Japanese LS and its implementation in other countries, which may be due to several reasons, such as differences in culture and educational systems or teachers’ beliefs. In this study, we examined the effect of teachers’ beliefs on their evaluation of LS in Chile. We administered a questionnaire to 94 teachers who participated in the Research Lesson (RL) as observers. The questionnaire assessed teachers’ beliefs and RL’s contributions to knowledge of the subject matter, instructional strategies, monitoring skills, lesson planning, and student understanding. Using a stepwise logistic regression, after controlling for sex and occupation, we found that the observers’ beliefs influenced their perceptions of RL’s contributions to monitoring, assessment, and instruction. Participants with student-focused beliefs were more likely to find that RL contributed to their monitoring skills and ability to assess students’ understanding of content. The results regarding instructional strategies were mixed. Our findings can help devise strategies to increase the effectiveness of LS implementation. For example, by designing two types of LS, one adapted to teachers with student-focused teaching beliefs and the other to teacher-focused teaching beliefs. To the best of our knowledge, this dual strategy is not part of LS implementation, at least in Chile. LS teams could easily explore this dual strategy, which could improve teachers’ professional development.

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)0.011
metaresearch head score (Gemma)0.003
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 score0.707
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.003
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 head0.239
GPT teacher head0.574
Teacher spread0.335 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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