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Record W1987204398 · doi:10.4018/ijicte.2014070101

Assessing Impact of ICT Intercultural Work

2014· article· en· W1987204398 on OpenAlexfundno aff
Angela Rickard, Alma R.C. Grace, Roger Austin, Jane Smyth

Bibliographic record

VenueInternational Journal of Information and Communication Technology Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
FundersUniversity of Ontario Institute of Technology
KeywordsInformation and Communications TechnologyCompetence (human resources)PedagogyPsychologyMedical educationMathematics educationPolitical scienceSocial psychologyMedicine

Abstract

fetched live from OpenAlex

This article reports on a school-based ICT initiative, called Dissolving Boundaries (DB) which links primary, (pupils aged 5-11), post-primary (pupils aged 12-18) and special schools (pupils aged 5-18) in partnerships across the border between Northern Ireland and the Republic of Ireland. The aim of the research was to investigate if participation in DB was associated with an increased awareness and understanding of life on the other side of the border. The ICT skills of pupils were also probed. Two cohorts of pupils were used in the study, one which had taken part in the Dissolving Boundaries program during an academic year and another cohort of similar age in the same schools, which had not taken part. Findings suggest that participation in the program contributed to students' knowledge and awareness in general of the other jurisdiction. In terms of collaborative work, a large majority of DB pupils agreed that they could learn something new from working with another school. Participating pupils in the DB program showed much higher competence in those ICT skills associated with communication and collaboration than their non-participant peers.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score0.213

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.359
Teacher spread0.345 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations12
Published2014
Admission routes1
Has abstractyes

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