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Record W4387298467 · doi:10.51286/albjm/1292438881

IMPROVING THE TEACHING OF MATHEMATICS TO STUDENTS OF SCIENCE AND ENGINEERING

2010· article· en· W4387298467 on OpenAlex
Michael Monagan, J. F. Ogilvie

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

VenueAlbanian Journal of Mathematics · 2010
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMathematics educationScience and engineeringComputationQuality (philosophy)Symbolic computationComputer scienceEngineering mathematicsSoftwareApplied mathematicsMathematicsEngineering ethicsEngineeringAlgorithmProgramming languageEpistemology

Abstract

fetched live from OpenAlex

To improve the teaching of mathematics to students of science and engineering, an holistic approach strongly based on the use of software for symbolic computation with numerical and graphical capabilities is advocated. Within three semesters the quality and quantity of mathematics understood and implementable by those students can be significantly enhanced with this approach, which was tested during an accelerated course that covered all pertinent content within eight weeks.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.447

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0010.000
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 head0.005
GPT teacher head0.235
Teacher spread0.230 · 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