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Record W2124840150 · doi:10.2304/elea.2005.2.2.5

The Impact of Information and Communication Technology on Education: The Missing Discourse between Three Different Paradigms

2005· article· en· W2124840150 on OpenAlexaff
Aharon Aviram, Deborah Talmi

Bibliographic record

VenueE-Learning and Digital Media · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTechnocracyInformation and Communications TechnologyIdentification (biology)Field (mathematics)EpistemologySociologySocial scienceEngineering ethicsKnowledge managementPolitical scienceComputer scienceEngineeringWorld Wide WebPolitics

Abstract

fetched live from OpenAlex

Using a new methodological tool, the authors analyzed a large number of texts on information and communication technology (ICT) and education, and identified three clusters of views that guide educationists ‘in the field’ and in more academic contexts. The clusters reflect different fundamental assumptions on ICT and education. The authors argue that these clusters represent three different paradigms, which they term the technocrat, the reformist and the holistic. They further argue that despite the burgeoning literature on the merger of ICT and education, discourse between the three paradigms is surprisingly limited. Given the doubtful results of the computerization of education, they suggest that identification of these paradigms would promote an essential discussion, vital for better future policies.

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)0.020
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0130.013
Science and technology studies0.0080.056
Scholarly communication0.0330.040
Open science0.0020.011
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.330
Teacher spread0.317 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations18
Published2005
Admission routes1
Has abstractyes

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