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Record W2769341511 · doi:10.26522/brocked.v26i2.602

A Family Affair: Caring in Teaching and Implications for Teacher and Researcher Preparation

2017· article· en· W2769341511 on OpenAlexvenueno aff
James A. Bernauer, Mary Pat Bernauer, Patrick J Bernauer

Bibliographic record

VenueBrock Education Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyInsiderTrustworthinessPedagogyExperiential learningEmpathyPerceptionSocial psychologyMathematics educationEpistemology

Abstract

fetched live from OpenAlex

The purpose of this study was to explore how perceptions of remembered instances ofteacher caring in K-College impacted the motivation of a college student. Implicationsfor teacher preparation programs and educational research were then drawn from theseperceptions. The first part of the title “A Family Affair” stems from the fact that theauthors are members of the same family – Father, Mother, and Son. Both the father andmother had prior knowledge of some (not all) of the instances of caring and non-caringdescribed by their son and thus shared a privileged insider position that offered uniqueinsights while cooperative peer checking was used both during and after the interview tohelp promote the trustworthiness of findings. It was found that the degree of caringshown by teachers had a profound influence on the participant’s willingness to put fortheffort especially in those courses that were not his favorite subjects which suggests that astrong connection exists between caring and student motivation. An importantimplication of this study is that teachers and those responsible for teacher preparationprograms would benefit by being aware of the impact of caring on students’ engagementand attitude toward learning. If the ultimate purpose of educational research is tocontribute to effective teaching, then the “soft variable” of caring should be consideredan important component of researcher preparation. It is hoped that readers will find thisstudy to be transferable to the degree that it resonates with their own experience asteachers, students, and parents, and which we refer to as “experiential validity”.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0010.001
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 head0.097
GPT teacher head0.510
Teacher spread0.413 · 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.

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

Citations5
Published2017
Admission routes1
Has abstractyes

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