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Record W2162590854 · doi:10.19030/ctms.v1i1.5222

Teaching With Computers: A Cautionary Finding In An Accounting Class

2011· article· en· W2162590854 on OpenAlex
Stuart H. Jones, Michael E. Wright

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
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".

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCollege Teaching Methods & Styles Journal (CTMS) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHypertextClass (philosophy)Computer scienceMathematics educationSignificant differenceAffect (linguistics)PsychologyMultimediaWorld Wide WebArtificial intelligenceMathematicsStatistics

Abstract

fetched live from OpenAlex

The study assesses the effects of a hypertext learning aid and GPA on performance in advanced financial accounting. Results indicate that the type of learning aid and GPA significantly affect performance. High GPA students performed better than did the low GPA students. In the study, two versions of the hypertext learning aid were utilized by two different groups of students and compared to a third group of students who had no hypertext learning aid. Use of the full version of the hypertext learning aid results in the lowest performance while students using a modified version of the hypertext learning aid attained the highest exam performance. These differences were found to be statistically significant. Differences in performance between those students who used the modified version and those who used no program were not significant, however. The difference between the full version of the learning aid and the modified version of the learning aid is the degree of information provided to the students; the full version providing the most detailed information. The results suggest that instructors must be careful in the design and use of learning aids.

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)0.021
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.004
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 head0.071
GPT teacher head0.405
Teacher spread0.334 · 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