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Record W3082618724 · doi:10.1111/dsji.12221

How Gaps between Target and Midcourse Grades Impact Undergraduates’ Studying Intentions and Grade Improvements*

2020· article· en· W3082618724 on OpenAlexafffund
H.F. MacKenzie, Michael J. Armstrong

Bibliographic record

VenueDecision Sciences Journal of Innovative Education · 2020
Typearticle
Languageen
FieldPsychology
TopicEducation, Achievement, and Giftedness
Canadian institutionsBrock University
FundersBrock University
KeywordsMindsetPsychologyMathematics educationComputer science

Abstract

fetched live from OpenAlex

ABSTRACT We examine how gaps between students’ chosen target grades and actual midcourse grades relate to their exam studying intentions and subsequent grade improvements. We further investigate whether those relationships are moderated by students’ academic ability (as measured by high school averages) and implicit theory of intelligence or mindset (as measured by questionnaire scores). Our study involved 250 undergraduate students in a first‐year business course. The study used linear regression to analyze survey responses at the course's beginning, survey responses near the course's end, and actual course grades. The analysis showed students had greater studying intentions and grade improvements when midcourse grades were farther below initial target grades. Mindset moderated the relationship between grade gaps and studying intentions, whereas academic ability moderated the relationship between grade gaps and grade improvements. These results enhance our knowledge of how students respond to grade feedback and could help instructors assist students to make better decisions about their studying.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.543

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
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 head0.126
GPT teacher head0.446
Teacher spread0.320 · 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
Published2020
Admission routes2
Has abstractyes

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