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Record W4400784754 · doi:10.21125/edulearn.2024.1414

COIL@UARCTIC: INCLUSIVE APPROACHES TO EDUCATIONAL NETWORK DEVELOPMENT

2024· article· en· W4400784754 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEDULEARN proceedings · 2024
Typearticle
Languageen
FieldComputer Science
TopicEngineering Education and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceElectromagnetic coilEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

COIL@UArctic is a new University of the Arctic thematic network designed to promote and facilitate collaborative online international learning and biodiversity education. COIL (Collaborative Online International Learning) is a sustained educational approach where groups or individual students from one institution collaborate with groups or individual students from another institution, in a different country and/or culture, on sustained and assessed projects or assignments, developed collaboratively by tutors from each partner institution. The learning takes place online using freely available and commonly used communication technology. This type of cost-effective, experiential learning promotes intercultural competence, as well as the attitudes and reflective behavioural skills vital for a globalised economy. Students who undertake COIL projects use real-world scenarios to learn how to research global issues, set objectives, coordinate time zones and schedules, complete tasks, and navigate communication, language, and organisational challenges within and between international teams. The COIL@UArctic network is designed to promote unique educational opportunities and higher academic collaboration, enabling more people to harness and contribute to the growing body of knowledge, expertise, networks, and pedagogical advantages COIL offers students and faculty in the post-pandemic, technologically blended educational context. The network's focus on biodiversity education has the potential to provide knowledge for better lives and environments for all UArctic and non-UArctic members. Since October 2023, alongside faculty partners from Eastern Finland, Maine USA, Iceland, Canada, and Scotland; an Indigenous consultant from Alaska has been involved in the design of the thematic network to promote inclusivity in the development process and final deliverables which include an extensive set of web-based resources and training. Students from partner countries were also consulted about their views on COIL pedagogy and the COIL@UArctic network through an online focus group helping to inform the network development. This paper will share the key outcomes and reflections from the experience of seeking to adopt an inclusive approach to the development of a new international educational 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.856
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.036
GPT teacher head0.245
Teacher spread0.209 · 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