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Record W2063441583 · doi:10.2308/iace.2002.17.2.163

Using Hypertext in Instructional Material: Helping Students Link Accounting Concept Knowledge to Case Applications

2002· article· en· W2063441583 on OpenAlex

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

VenueIssues in Accounting Education · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting Education and Careers
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsHyperlinkHypertextComputer scienceLink (geometry)HypermediaSample (material)Mathematics educationWorld Wide WebMultimediaPsychologyWeb pageChemistry

Abstract

fetched live from OpenAlex

We studied whether instructional material that connects accounting concept discussions with sample case applications through hypertext links would enable students to better understand how concepts are to be applied to practical case situations. Results from a laboratory experiment indicated that students who learned from such hypertext-enriched instructional material were better able to apply concepts to new accounting cases than those who learned from instructional material that contained identical content but lacked the concept-case application hyperlinks. Results also indicated that the learning benefits of concept-case application hyperlinks in instructional material were greater when the hyperlinks were self-generated by the students rather than inherited from instructors, but only when students had generated appropriate links. When students generated inappropriate concept-case application hyperlinks in the instructional material, the application of concepts to new cases was similar to that of other students who learned from the instructional material that lacked hyperlinks.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.037
GPT teacher head0.339
Teacher spread0.302 · 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