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Record W2110378869 · doi:10.5539/hes.v2n2p31

Student-Initiated Study Groups for STEM Classes in Community College Settings

2012· article· en· W2110378869 on OpenAlexvenueno aff
Elena Sandoval-Lucero, Eileen Blasius, Libby Klingsmith, Cheryl Waite

Bibliographic record

VenueHigher Education Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFocus groupMathematics educationPsychologyMedical educationCommunity collegePedagogyMedicineSociology

Abstract

fetched live from OpenAlex

This article describes a focus group research study that examined the experiences of community college students who initiated study groups for science, technology, engineering and mathematics (STEM) courses based on self-identified needs for learning support. Results indicated that students identified early in the semester that they needed assistance with studying, negotiated group roles including identifying a group leader, and utilized technology to communicate and study with group members. Students who participated also believed they benefited from their participation by learning the material from different perspectives, and learning new techniques for studying, but also saw potential negative consequences for students who were not able to join study groups. They recommended that the institutions be more intentional about encouraging students to form study groups, especially in STEM classes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0080.002
Scholarly communication0.0030.002
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.002

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 head0.187
GPT teacher head0.511
Teacher spread0.323 · 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 source (direct Gemma or distilled Codex), 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

Citations8
Published2012
Admission routes1
Has abstractyes

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