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Record W96338235

Evaluation of a Teaching Tool--Wiki--in Online Graduate Education

2010· article· en· W96338235 on OpenAlexaff
Caroline L. Park, Cheryl Crocker, Janice Nussey, Joyce Springate, Darlene Hutchings

Bibliographic record

VenueJournal of the Association for Information Systems · 2010
Typearticle
Languageen
FieldPsychology
TopicLearning Styles and Cognitive Differences
Canadian institutionsAthabasca University
Fundersnot available
KeywordsExcellenceLearning stylesAdaptation (eye)Computer scienceHigher educationMathematics educationEducational technologyInformation technologyPsychologyKnowledge management
DOInot available

Abstract

fetched live from OpenAlex

This study provides information on ways to enhance learning for students using online educational programs. Technologies that foster and engage students in the learning process are necessary in the online learning environment. Wiki is an online teaching strategy used to promote student interaction. A Wiki was introduced into three sections of a graduate level online health professions course. The use of the Wiki is evaluated using the Perception of Wiki Survey to determine students’ perceptions of the value of the technology. A student’s choice to pursue one career over another, and eventual success or lack of success in that career, may relate to their personal learning style and the learning demands of that discipline. In this study students’ learning style preference is determined using the Felder-Silverman Index of Learning Styles. The relationship between the students’ perceptions of the Wiki and their learning style preferences is examined in this mixed methods study. No firm conclusions can be reached from the findings but interesting possibilities are raised.

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)0.010
metaresearch head score (Gemma)0.032
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 score0.010
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.047
GPT teacher head0.373
Teacher spread0.326 · 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

Citations39
Published2010
Admission routes1
Has abstractyes

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Same venueJournal of the Association for Information SystemsSame topicLearning Styles and Cognitive DifferencesFrench-language works237,207