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Record W4393549232 · doi:10.18260/1-2--45532

Generative AI as an educational resource

2024· article· en· W4393549232 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicEngineering Education and Technology
Canadian institutionsColumbia College
Fundersnot available
KeywordsComputer scienceGenerative grammarResource (disambiguation)Artificial intelligence

Abstract

fetched live from OpenAlex

He worked at the Social Therapeutic and Robotic Systems (STaRS) lab and the Center for Advanced Vehicular Systems (CAVS).His work involved redesigning systems to mimic biological counterparts, exploring new materials for rapid prototyping, and developing mechanical systems for robotics focused on human-computer interaction with both civilians and law enforcement.Since starting his studies at the University of Memphis in 2017, under Dr. Joel D. Bumgardner, he has delved into biomaterial development, nanoparticles, and additive manufacturing techniques like electrospinning, electrospraying, and 3D printing.His master's thesis, completed in December 2020, focused on "Electrosprayed Chitosan-calcium Phosphate Nanoshells Composite Coatings on Silanated Titanium Plates."Currently, he is pursuing his PhD, concentrating on 3D printing biological polymers for wound repair.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.856
Threshold uncertainty score0.533

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.288
Teacher spread0.280 · 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

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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