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Record W3113865371 · doi:10.16995/dscn.382

Notes from the Field: Student Perspectives on Digital Pedagogy

2020· article· en· W3113865371 on OpenAlexaffvenue
Colette Colligan, Kandice Sharren

Bibliographic record

VenueDigital Studies / Le champ numérique · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSociologyPedagogyLibrary scienceHumanitiesArtComputer science

Abstract

fetched live from OpenAlex

This special collection on digital pedagogy features essays by student researchers within the Digital Pedagogy Network (DPN). DPN is an informal interdisciplinary training network formed to foster the transfer of Digital Humanities (DH) knowledge and skills and to build connections between Simon Fraser University (SFU) and University of Victoria (UVic) faculty, students, librarians, educational partners, and the public. Central to the network has been the participation and experience of students, who have shared their digitally-focused work in a series of showcases and symposia that have alternated between SFU and UVic. What emerged during these events were student perspectives on current pedagogical practices in Digital Humanities, both inside and outside the classroom, as well as for the degree and beyond. Our special collection builds on these perspectives, featuring student authors addressing issues that over the past five years have been central to their DH learning and training. These student perspectives gather into four topic clusters, namely 1) Collaboration with Galleries, Libraries, Archives, & Museums (GLAM); 2) Digital Doctorates; 3) Major Research Projects; and 4) Transforming DH Pedagogy. Résumé Cette collection spéciale portant sur la pédagogie numérique consiste en des dissertations écrites par des chercheurs-étudiants dans le cadre du Digital Pedagogy Network (DPN – Réseau de pédagogie numérique). Le DPN est un réseau informel d’entraînement interdisciplinaire créé pour favoriser le transfert de connaissances et d’habilités liées aux humanités numériques et pour développer des liens entre les effectifs, les étudiants, les bibliothécaires, les partenaires éducatifs de l’Université Simon Fraser (SFU) et l’Université de Victoria (UVic) et le public. La participation et les expériences d’étudiants, qui ont partagé leur travail concernant la numérique dans une série de présentations et symposiums qui ont alterné entre SFU et UVic, ont joué un rôle primordial dans ce réseau. Ce qui est ressorti durant ces évènements étaient les perspectives d’étudiants envers les pratiques pédagogiques actuelles dans les humanités numériques, tant à l’intérieur qu’à l’extérieur des salles de classe, pour les programmes universitaires et au-delà. Notre collection spéciale tire parti de ces perspectives, incluant des auteurs-étudiants qui abordent les enjeux essentiels à leurs études et entraînement dans les humanités numériques. Ces perspectives d’étudiants présentent quatre thèmes regroupés, notamment 1) la collaboration avec des institutions GLAM ; 2) des doctorats numériques ; 3) des projets de recherche majeurs ; et 4) la transformation de la pédagogie des humanités numériques. Mots-clés: humanités numériques (HN); pédagogie numérique; institutions GLAM; projets numériques; labeur d’étudiants; activisme numérique

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)0.011
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0190.011
Scholarly communication0.0190.012
Open science0.0020.015
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0080.002

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 head0.069
GPT teacher head0.300
Teacher spread0.231 · 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 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

Citations1
Published2020
Admission routes2
Has abstractyes

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