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Record W4401638248 · doi:10.54337/nlc.v12.8705

GELO and GreX: A framework and dashboard to investigate technology competency and culture

2024· article· en· W4401638248 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of the International Conference on Networked Learning · 2024
Typearticle
Languageen
FieldComputer Science
TopicDigital literacy in education
Canadian institutionsRoyal Roads UniversityOntario Tech University
Fundersnot available
KeywordsVariety (cybernetics)Competence (human resources)DashboardKnowledge managementInformation and Communications TechnologyInformal learningDigital learningComputer scienceData sciencePsychologyWorld Wide WebPedagogyArtificial intelligence

Abstract

fetched live from OpenAlex

Participation in 4th Industrial Revolution society is increasingly dependent upon competencies related to the use of digital technologies for a wide variety of purposes. A person’s competence in the use of digital technologies has implications for a wide variety of contexts and situations, including learning in physical as well as virtual spaces, career choices and employability, digital citizenship, cultural orientations and values, and even democracy (Erstad, 2010). This workshop will provide an overview of the Global Educational Learning Observatory (GELO) project and invite participants to experience a variety of self-assessment tools accessed through the customizable dashboard, the Global Readiness Explorer (GREx). The GELO project attempts to provide a framework for an international network of institutions utilizing data-driven evidence to inform evolving best practices for online and mobile learning. To achieve this, the project (i) assembles a nucleus of formal educational institutions, (ii) constructs the necessary tools to extend research on formal learning models, and (iii) reaches into the workplace as well as other more public spaces to integrate with informal learning settings. The primary source of data derives from a customizable dashboard, the Global Readiness Explorer (GREx), and the tools that can be implemented within it. These tools are designed to give individuals, organizations, and institutions the means to construct complex profiles that can be used to identify gaps in competency attainment and development. Through small group activities, participants will examine and discuss the various tool suites in the GREx including the digital learning competency profiler (DCP); the fully online learning community survey instrument (FOLCS); the Personal Cultural Orientation Scale (PCOS) and others. In this workshop, participants will choose a self-assessment instrument to participate in and then discuss their experience with a focus on improving the GREx tool suite for global use. In addition, participants will examine the GREx for use with their students as a component of determining readiness for moving into fully online learning environments. The workshop will conclude with an explanation of the global educational learning observatory (GELO), and participants will be invited to join this global research network.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.720

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 studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.268
Teacher spread0.254 · 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