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Record W2465191847 · doi:10.29173/cais17

Primary School Students' Reaction to the Web as a Classroom Resource

2013· article· en· W2465191847 on OpenAlexaffvenueabout
Andrew Large, Jamshid Beheshti

Bibliographic record

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicWikis in Education and Collaboration
Canadian institutionsMcGill University
Fundersnot available
KeywordsClass (philosophy)Point (geometry)World Wide WebWeb resourceResource (disambiguation)Computer scienceInformation resourceWeb siteMultimediaMathematics educationPsychologyThe InternetKnowledge managementMathematics

Abstract

fetched live from OpenAlex

Two grade-six classes in a Montreal primary school used the Web over several weeks to gather information for a class project. After the completion of the project, 50 students were interviewed to gather their opinions on this experience. They discuss the relative merits of the Web as compared with traditional printed sources in terms of information content and retrieval. Although the Web certainly had its enthusiasts, books and magazines also continued to be important. The students commented upon a number of problems they encountered in finding information suitable for their project. To become a more effective classroom tool, the authors conclude either that more helpful interfaces are required to assist in search formulation or that students must be taught how to seek information in this environment. In addition, more information is required on the Web that can be used by young students, and pathfinders are needed to point the students in the right direction.

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)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.002

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 head0.289
Teacher spread0.273 · 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 designObservational
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

Citations2
Published2013
Admission routes3
Has abstractyes

Explore more

Same venueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSISame topicWikis in Education and CollaborationFrench-language works237,207