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Record W2584835316 · doi:10.21432/t2ww4j

The Interactive Whiteboard: Uses, Benefits, and Challenges. A survey of 11,683 Students and 1,131 Teachers | Le tableau blanc interactif : usages, avantages et défis. Une enquête auprès de 11 683 élèves et 1131 enseignants

2017· article· en· W2584835316 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.
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 · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsInteractive whiteboardWhiteboardLibrary sciencePsychologySociologyMathematics educationComputer scienceMultimedia

Abstract

fetched live from OpenAlex

Over the past five years, the interactive whiteboard (IWB) has been massively introduced into schools across the province of Quebec, Canada. This study explores how the IWB is being used, and the associated benefits and challenges. Data on 11,683 students (from 4th year elementary to grade 12) and 1,131 teachers were collected with five instruments: 1) a survey questionnaire for all students, 2) a survey questionnaire for all teachers, 3) individual interviews with teachers, 4) group interviews with teachers, and 5) group interviews with students. Far from calling into question the need to integrate technology into education, the results reveal that certain tools, such as the IWB, may be more complicated and time-consuming to integrate than others. However, despite teachers’ reports of technical problems, the IWB appears to have real educational potential.Au cours des dernières années les tableaux blancs interactifs (TBI) ont été massivement introduits dans les écoles du Québec (Canada). Cette étude explore comment cet outil numérique est utilisé, de même que les avantages et les défis qui y sont associés. Les données ont été recueillies auprès de 11 683 élèves (de la 4e à la 12e année) et 1 131 enseignants avec cinq outils de collecte de données: 1) un questionnaire d’enquête pour tous les élèves; 2) un questionnaire d’enquête pour tous les enseignants; 3) des entrevues individuelles avec des enseignants; 4) des entrevues de groupe avec des enseignants; 5) des entrevues de groupe avec des élèves. Loin de remettre en question l’intégration des technologies en éducation, les résultats de cette étude révèlent plutôt que certains outils, comme le TBI, peuvent parfois être plus complexes et chronophages à utiliser que d’autres. Néanmoins, même si plusieurs enseignants ont souligné les nombreux problèmes techniques, le TBI comporte un grand potentiel éducatif.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.053
GPT teacher head0.346
Teacher spread0.293 · 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