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Record W1654600664 · doi:10.21432/t2j300

Optional online quizzes: College student use and relationship to achievement

2006· article· en· W1654600664 on OpenAlexaffvenue
Genevieve Marie Johnson

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsMacEwan University
Fundersnot available
KeywordsAcademic achievementPsychologyMathematics educationComprehensionCognitionClass (philosophy)Student achievementComputer science

Abstract

fetched live from OpenAlex

Online practice tests and quizzes are commonly available to higher education students. The extent of student use of such study tools and the relationship of use to achievement, however, have not been fully investigated. One hundred twelve college students were encouraged to use optional online quizzes in preparation for proctored examinations. In-class examinations included multiple choice items that assessed four cognitive domains: factual, application, comprehension, and conceptual. In general, few students made extensive use of the optional online quizzes. Analysis revealed that student use of online quizzes was associated with increased academic achievement, although it was not clear if quiz use caused achievement or achievement caused quiz use. Short-answer and true-false online quiz items were differentially associated with measures of academic achievement, suggesting that cognitive processing differed across item format. Implications for further research are provided.

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)0.001
metaresearch head score (Gemma)0.019
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.026
GPT teacher head0.320
Teacher spread0.294 · 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

Citations44
Published2006
Admission routes2
Has abstractyes

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