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Record W2055559567 · doi:10.1145/1189136.1189176

How much choice is too much?

2006· article· en· W2055559567 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

VenueACM SIGCSE Bulletin · 2006
Typearticle
Languageen
FieldComputer Science
TopicTeaching and Learning Programming
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFlexibility (engineering)AccreditationAccountabilityComputer scienceQuality (philosophy)Work (physics)Perspective (graphical)Freedom of choiceMathematics educationPsychologyMedical educationArtificial intelligenceManagementPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Providing a learner-centered perspective is in keeping with modern constructivist approaches to learning, and this means that courses must be designed with learner attributes and choice in mind. Concerns over accreditation and the need for accountability at the post-secondary level seem to contradict freedom of choice and flexibility of term work, but this need not be the case. This paper outlines numerous strategies for offering choice and flexibility to students in a freshman programming course. Approaches include flexible deadlines, the ability to re-submit work that has already been assessed, writing tasks, contributing to course content, bonuses for embellishments and extra work, and choices about which problems to solve. All of the strategies have been employed in classes, and students' reactions as well as effects on student engagement and quality of work are described.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.544
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.014
GPT teacher head0.230
Teacher spread0.216 · 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