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Record W1953071246 · doi:10.21432/t2r30v

Monkeys on the Screen?: Multicultural Issues in Instructional Message Design

2009· article· en· W1953071246 on OpenAlex
Debbie McAnany

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsInstructional designPedagogyCultural diversityMulticulturalismDiversity (politics)Multicultural educationPsychologySociologyHumanitiesArtAnthropology

Abstract

fetched live from OpenAlex

With the shift in numbers between Canadian-born students in the university classroom and the increased number of international students, it is a primary concern for instructors and instructional designers to know and understand learner characteristics in order to create effective instructional messages and materials. Recognizing how culture might shape cognition and learning, we can value and design for the diversity of students and maximize their learning while improving the learning environment for all students. To celebrate cultural diversity and meet the challenges associated with designing for diverse learning styles and educational experiences, this paper offers a review of the literature and proposes a systematic three-fold approach to the creation and evaluation of multicultural instructional messages and materials: first, “Do no harm”; second, “Know your learner”; and third, “Incorporate global concepts and images into instructional messages.” Résumé Avec le renversement des proportions d’étudiants nés au Canada et d’étudiants internationaux qui sont de plus en plus nombreux dans nos universités, connaître et comprendre les caractéristiques des apprenants constitue maintenant une préoccupation majeure pour les instructeurs et les concepteurs pédagogiques afin de créer des messages et du matériel pédagogiques efficaces. En prenant en considération la façon dont la culture peut influencer la cognition et l’apprentissage, nous pouvons tenir compte de la diversité des étudiants lors de la conception et ainsi maximiser leur apprentissage tout en améliorant l’environnement d’apprentissage pour tous les étudiants. Dans le but de célébrer la diversité culturelle tout en relevant les défis associés à la conception pour divers styles d’apprentissage et d’expériences éducatives, le présent article présente un examen de la documentation et propose une approche systématique en trois volets pour la création et l’évaluation de messages et de matériel pédagogiques : premièrement, « ne pas nuire »; deuxièmement, « connaître l’apprenant »; et troisièmement, « incorporer des concepts et des images universels dans les messages pédagogiques ».

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: Empirical
Teacher disagreement score0.601
Threshold uncertainty score1.000

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 communication0.0000.000
Open science0.0000.000
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 head0.025
GPT teacher head0.297
Teacher spread0.272 · 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