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Record W3036416741 · doi:10.5430/wje.v10n3p88

Impact of Informal Experiences: Changes in Mathematics Motivation for Middle Schoolers

2020· article· en· W3036416741 on OpenAlexvenueno aff
Suzanne F. Lindt, Dittika Gupta

Bibliographic record

VenueWorld Journal of Education · 2020
Typearticle
Languageen
FieldPsychology
TopicEducation, Achievement, and Giftedness
Canadian institutionsnot available
Fundersnot available
KeywordsSummer campMathematics educationPsychologySelf-efficacyPedagogyDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

The current research sought to examine the impact of a week-long mathematics camp on motivation and self-efficacy beliefs of participating middle school students. Middle school students participated in a one-week mathematics camp on a college campus, where they worked on authentic mathematics activities that were applied to real world concepts. The activities were developed by a mathematics educator and were facilitated by trained college students. Middle school students responded to the Sources of Self-Efficacy measure before and after the mathematics camp to determine whether changes occurred in various motivational variables resulting from their participation in the camp. Parallel t-tests indicated significant positive changes in students’ vicarious experiences and mastery goals to suggest that participation in the camp may have caused students to feel more confident in their ability to work through math problems and to adopt learning goals for mastering mathematics content. Providing middle school students with informal learning experiences in mathematics may help them in creating long-term goals for their learning.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.089
GPT teacher head0.385
Teacher spread0.296 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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