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Record W2255704289

Issues in Project-based Distance Learning in Computer Science

2007· article· en· W2255704289 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational journal of e-learning & distance education · 2007
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsDistance educationContext (archaeology)HumanitiesLibrary scienceThe artsSociologyComputer sciencePedagogyArtVisual artsGeography
DOInot available

Abstract

fetched live from OpenAlex

In the years since the inception of the Open University, UK (OU, UK), project-based work has been established as a component of many courses in the faculties of Arts, Social Sciences, Science, and Technology. Results from an early study of the desirability and feasibility of using project-based learning (Macmillan, 1975) indicated that this teaching methodology has a useful role to play in distance learning. There has, however, been no comparable use of it within the OU, UK, Mathematics Faculty. In its discussion of the first evaluation of a newly introduced project-based computing course within the Mathematics Faculty this paper considers how valid this methodology has proved to be within the different context of computer science. This discussion concludes that for a number of reasons it has proved more difficult to implement project-based work in the domain of computer science. The paper ends by considering the likely advantages and disadvantages associated with introducing electronic tutoring and conferencing to deliver this distance course and overcome the difficulties discussed. Depuis la creation de la Open University du Royaume-Uni, de nombreux cours offerts dans les facultes des arts, des sciences sociales, des sciences de meme que de la technologie, comprennent des travaux axes autour d'un projet. Les resultats issus d'une etude anterieure portant sur le bien-fonde et la faisabilite de l'apprentissage par projet (Macmillan, 1975) indiquent que cette methode d'enseignement peut jouer un role utile dans l'apprentissage a distance. Toutefois, il n'y a eu jusqu'ici aucune utilisation comparable de la sorte au sein de la Faculte des mathematiques de la Open University. En plus de presenter une premiere evaluation d'un nouveau cours d'informatique developpe autour de la realisation d'un projet au sein de la Faculte des mathematiques, cette etude examine dans quelle mesure cette methodologie s'est revelee valable dans le contexte specifique de l'informatique. On en conclut que, pour plusieurs raisons, il s'est avere plus problematique d'implanter une approche de travail par projet dans le domaine de l'informatique. L'article termine en considerant les avantages et les desavantages les plus susceptibles d'etre associes a l'introduction d'un tutorat et de conferences electroniques dans la livraison de ce cours a distance et dans l'aplanissement des difficultes enumerees.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score0.703

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.006
GPT teacher head0.297
Teacher spread0.291 · 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