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Record W4253771435 · doi:10.48009/2_iis_2010_145-151

ACADEMIC CALENDAR CHANGE INDUCED CURRICULUM CHANGE

2010· article· en· W4253771435 on OpenAlexaboutno aff
Thom Luce, Vic Matta

Bibliographic record

VenueIssues in Information Systems · 2010
Typearticle
Languageen
FieldComputer Science
TopicInformation Systems Education and Curriculum Development
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumMandateQuarter (Canadian coin)Plan (archaeology)State (computer science)Academic yearPolitical scienceCurriculum developmentProcess (computing)Higher educationMedical educationMathematics educationPedagogySociologyPsychologyComputer scienceMedicineGeography

Abstract

fetched live from OpenAlex

In 2008 the Ohio Board of Regents issued a strategic plan for higher education in Ohio.One direct outcome of the plan is the move to a common academic calendar for all state universities and community colleges.This specifically means that the four state universities still using the quarter system will be converting to semesters for the fall, 2012 semester.This calendar change provided a rare opportunity for our MIS program to revise and update our curriculum.While pressures from alumni, advisory boards, industry and the academic community were already suggesting that our curriculum was getting outdated, the mandate to transition from quarters to semesters triggered the change process.This paper describes the current quarter based curriculum, the process used to develop the new curriculum and the new curriculum model for our MIS program.

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)0.055
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.055
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0060.002
Open science0.0020.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0340.006

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 head0.041
GPT teacher head0.312
Teacher spread0.271 · 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 designNot applicable
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

Citations1
Published2010
Admission routes1
Has abstractyes

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