MétaCan
Menu
Back to cohort
Record W2162348898 · doi:10.1109/fie.1995.483048

25 years of frontiers educational research: the call for action-oriented research

2002· article· en· W2162348898 on OpenAlexaboutno aff
William K. LeBold, S.K. Ward

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsStatus quoAction researchQuarter (Canadian coin)Action (physics)Relevance (law)Test (biology)Educational researchMedical educationMathematics educationPsychologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Since the first FIE conference a quarter of a century ago (1970), engineering educational research at Purdue has shifted from status quo oriented research to action oriented research. Earlier our emphasis was on providing information, examining relationships, identifying strengths and delineating problems. We analyzed the correlation of high school grades and test scores with college GPA. We documented trends in enrolment, grades, and retention. We surveyed students and graduates regarding the quality and relevance of their education. Sometimes we even defined areas requiring action. However after the first FIE Conference 25 years ago, our research efforts shifted to action oriented research. How could we use educational research information to change and improve engineering education? We describe action oriented research that has significantly improved placement in beginning courses, helped students make more informed career decisions, increased and retained more women and minority students, and enhanced our programs for honors and higher risk students. We also describe how we have extended our educational research efforts beyond our own campus and are sharing our educational research findings and action oriented programs with other institutional settings and colleagues all over the world. We also speculate on what direction institutional and collaborative engineering educational research is likely to take during the next quarter of a century.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.898

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.295
GPT teacher head0.434
Teacher spread0.140 · 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 teacher head, 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

Citations2
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicEngineering Education and PedagogyFrench-language works237,207