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Record W4231984274 · doi:10.32920/ryerson.14663613.v1

An environment for teaching computational thinking to non-majors

2021· preprint· en· W4231984274 on OpenAlexaff
Irfan Khan

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicTeaching and Learning Programming
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsComputational thinkingContext (archaeology)Key (lock)Computer scienceComputational modelEveryday lifeHuman–computer interactionComputer securitySimulationArtificial intelligencePolitical science

Abstract

fetched live from OpenAlex

The fusion of computers and computational thinking is a key part in our transportation systems, communication systems, security systems, financial systems, and in our social and political instruments. These systems have become part of everyday life and the use of computational devices are rising. Despite being dependent on these computational devices, the majority of users remain oblivious to the inner workings of these devices. We designed a course called CPS650 - Computational Thinking In Our World to illuminate the social, historical and technical context of these systems to students and citizens so they can better understand the technologies that are underpinned by computer science. The course is designed for non-major students and an audience with no previous programming experience.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0020.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0660.021

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 head0.016
GPT teacher head0.288
Teacher spread0.272 · 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 designQualitative
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

Citations0
Published2021
Admission routes1
Has abstractyes

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