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Record W2963068604 · doi:10.29173/iasl7182

Empowering Students for a Digital World: Global Concerns, Local School Evidence and Strategic Actions

2016· article· en· W2963068604 on OpenAlexvenueno aff
Virgilio G. Medina, Ross J. Todd

Bibliographic record

VenueIASL Annual Conference Proceedings · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)PerceptionPublic relationsQualitative researchPedagogyPsychologySociologyKnowledge managementPolitical scienceComputer scienceSocial science

Abstract

fetched live from OpenAlex

The research reported here is an evidence-based development project to identify students’ perceptions of how confident and competent they are in learning and working effectively in an online world, and to develop local school strategic actions. It specifically examines students’ knowledge about a range of digital competencies for online learning and living, and their confidence in using these. From a constructivist perspective, understanding their conceptions of their digital world and their confidence with engaging in it provides a window for ensuring that school libraries prepare students for this world. Available literature consistently shows that for today’s young people, the digital environment is already a deeply embedded and pervasive aspect of their lives and the basis for their connections, communications, and community. Accordingly, this paper will present the findings of a school-based qualitative research study that, from the students’ perspective, seeks to understand how confident they are with being safe and productive in the online world. It will also show how these findings translate into strategic actions for the local school.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.497
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.026
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 head0.080
GPT teacher head0.397
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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations4
Published2016
Admission routes1
Has abstractyes

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