MétaCan
Menu
Back to cohort
Record W1602734570 · doi:10.1109/fie.1998.738840

A student's view of the ABET 2000 criteria

2005· article· en· W1602734570 on OpenAlexaboutno aff
Dan Peters

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumAccreditationViewpointsProcess (computing)FeelingConfusionEngineering educationMeaning (existential)PerceptionEngineering ethicsQuarter (Canadian coin)PedagogyMedical educationPsychologyMathematics educationEngineeringComputer scienceEngineering managementSocial psychologyMedicine

Abstract

fetched live from OpenAlex

In August 1999 Georgia Tech will convert from the quarter to the semester calendar. This change has resulted in each engineering school having to overhaul its curricula in the process of revising every course. At the same time these curricula were prepared under the new accreditation requirements of Criteria 2000. This process involved conflicting viewpoints and interests and some confusion over the meaning of some of the ABET criteria. The process culminated with the submission of the new curricula to the faculty for approval and an on-site visit from an ABET team. In reporting the actions of the curriculum committee to fellow students the author has discovered that the feelings of the majority of undergraduate students largely parallel his own. Through informal talks and with surveys of students representing students inside and outside the School of Electrical and Computer Engineering he has found that most of the changes found in Criteria 2000 are welcomed by the majority of the students. However, some of the criteria are not as broadly supported and are not perceived to be as important as a part of a college engineering education. These aspects are seen by many as being the responsibility of the individual or of his or her future employer. Examples of these "lesser" criteria are the recognition for the need of lifelong learning and a knowledge of contemporary issues. On some of the criteria it could be that it is more of a mis-perception of the purpose behind the criterion while for others this is not the case.

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)0.002
metaresearch head score (Gemma)0.005
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.005
Scholarly communication0.0100.002
Open science0.0010.002
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0050.002

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 head0.006
GPT teacher head0.245
Teacher spread0.239 · 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

Citations5
Published2005
Admission routes1
Has abstractyes

Explore more

Same topicEngineering Education and Curriculum DevelopmentFrench-language works237,207