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Record W1510066393

Using Visual Materials to Engage Learners

2003· article· en· W1510066393 on OpenAlexaffvenueabout
Ilia Goldfarb, Irina Kondratova

Bibliographic record

VenueNPARC · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsNational Research Council CanadaUniversity of New Brunswick
Fundersnot available
KeywordsMathematics educationVisual artsPsychologyComputer scienceArt
DOInot available

Abstract

fetched live from OpenAlex

The objective of the Spirit of Democracy international project is to enhance the capacity of civic educators in Russia to develop and sustain a dynamic and vibrant program of citizenship education. This goal is being met by providing online resources for teachers in Canada and Russia. The Spirit of Democracy project's learning approach is based on the ideas of Vygotsky and on the concepts of Situated Learning and Anchored Instruction. Within the Spirit of Democracy project developers create learning opportunities using situations and springboards. The uniqueness of the approach taken by the project is that researchers use authentic materials to engage students in learning and discovery. A very important role is assigned to visual materials. All visuals used in learning springboards can be divided into three categories: 'real life' pictures, illustrations to create specific environments, and art masterpieces to attract and engage in discussions of democratic issues.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.006

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 head0.068
GPT teacher head0.401
Teacher spread0.334 · 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 designNot applicable
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

Citations1
Published2003
Admission routes3
Has abstractyes

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