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Record W2144897332 · doi:10.24908/pceea.v0i0.3959

USE OF LAPTOPS IN INTERNET-ENABLED LEARNING SPACES: ENHANCING ELECTRICAL ENGINEERING EDUCATION

2011· article· en· W2144897332 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2011
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsLaptopBachelorThe InternetEngineering educationEngineeringElectrical engineering technologyEngineering managementMultimediaComputer scienceElectrical engineeringWorld Wide WebMechatronicsPolitical science

Abstract

fetched live from OpenAlex

The University of Ontario Institute of Technology (UOIT) is Ontario’s only laptop university, and among the few universities in the world where every seat in classrooms and laboratories is connected to the Internet, and the faculty are required to appropriately integrate the use of technology into the teaching-learning enterprise. In this paper, we discuss how the use of laptops in Internet-enabled learning spaces can enhance electrical engineering education. Issues of importance are highlighted. The discussions apply to the bachelor program in Electrical Engineering at the UOIT as well as to courses related to electrical engineering that form part of other engineering programs in UOIT’s Faculty of Engineering and Applied Science.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.188
Teacher spread0.180 · 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