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Record W3128674166 · doi:10.7275/17476848

Pre-service and In-services Teachers Perspectives on Academic Success: More than Just A Grade

2022· article· en· W3128674166 on OpenAlexaff
Lauren D. Goegan, Amanda I. Radil, Andrew Brooks, Lia M. Daniels

Bibliographic record

VenueScholarworks (University of Massachusetts Amherst) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsService (business)Mathematics educationMedical educationPsychologySociologyBusinessMedicineMarketing

Abstract

fetched live from OpenAlex

Students are constantly bombarded with messages about academic success and the importance of getting good grades. However, definitions of academic success are more complex than a letter grade. Many indicators to define academic success extend primarily from students’ perspectives and ignore how teachers’ definitions of success. This is an oversight as teachers’ perspectives on academic success shape their students’ perspectives on academic success for years to come, and thus represent an important voice to be included in the messaging around academic success. Thus, in this study we were interested in pre-service and in-service teachers’ definitions of academic success, and how they converge or diverge with indicators outlined in current research. We found that teachers have multiple perspectives on academic success, highlighting the complexity of this construct. Moreover, many of their definitions converged with researchers; however, teachers’ definitions were more varied and diverse. Our findings highlight the multidimensional nature of academic success. In closing, we identify various implications for schools and provide suggestions for future research and practice.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.065
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.030
GPT teacher head0.308
Teacher spread0.278 · 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 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

Citations6
Published2022
Admission routes1
Has abstractyes

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