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Enregistrement W4206030808 · doi:10.31237/osf.io/3aufb

Quelles pensée critique et métalittératie des futur·es enseignant·es à l’heure des fausses nouvelles sur le Web social ? Une étude de cas collective en francophonie / What critical thinking and metaliteracy of preservice teachers in an era of fake news on the social web? A collective case study in French-speaking nations

2021· preprint· en· W4206030808 sur OpenAlexaboutno aff
Florent Michelot

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomaineSocial Sciences
ThématiqueEducational Tools and Methods
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCritical thinkingSociologyPsychologyVocational educationPedagogyPoliticsPolitical science

Résumé

récupéré en direct d'OpenAlex

This collective case study focuses on critical thinking and literacies (informational, digital, media, etc.), understood with the concept of metaliteracy, for students beginning higher education and destined to be secondary school history teachers. The objective is to present a portrait of critical thinking and metaliteracy among these preservice teachers from the French-speaking world, in an era of social networks. The background of the research includes an increasing number of fake- news and conspiracy theories with proven socio-political and health impacts in election or pandemic contexts. We studied students from Wallonia (Belgium), France and Québec (Canada), especially because of these nation’s approach to train preservice teachers (vocational training vs disciplinary training).To conduct this project, several specific objectives were formulated. These were: i) to analyse the metric quality of French-version tests quantifying critical thinking skills and dispositions as well as metaliteracy self-efficacy; ii) to describe preservice teacher scores in critical thinking, particularly in respect with environmental (type of training, country of study, employment) and personal (self-efficacy in critical thinking and metaliteracy, belief in the likelihood of becoming teacher) factors; iii) to discriminate between critical thinking and metaliteracy strategies used by preservice teacher in Wallonia, France and Quebec when navigating in a social media (here Facebook) used as digital personal learning environment (PLE) with respect to the type of training and some environmental (perception of the educational and digital environment) and personal (self-efficacy) factors. A last specific objective, transversal to the first three, consisted in iv) engaging socio-cultural factors and taking into account the educational path, in perceptions and practices related to metaliteracy and critical thinking, in the social web era. This thesis follows a presentation by article; each one of them is related to one of the first three objectives, the fourth objective is thus discussed in a transversal way.Carried on five establishments (two in Wallonia, one in France and two in Quebec), this research is based on a two-phase mixed methodology. The quantitative phase involved three tests conducted on 245 preservice teachers (N = 245). During the second phase, the qualitative one, 32 students (n = 32, selected among the 245 participants) were interviewed, particularly to describe knownstrategies to evaluate information. In addition, we observed practices and strategies mobilized by nine of them (n = 9) to evaluate information from documentaries and discuss it on a social media.The first article illustrates the complexity of critical thinking measurements but demonstrates the psychometric robustness of the French version of the Halpern Critical Thinking Assessment test, a test for scoring critical thinking skills. Furthermore, we postulate that critical thinking self- efficacy, significant predictor of skills, should be considered as a disposition to critical thinking. We have also developed an indicator measuring self-efficacy in terms of metaliteracy. In a second article, we tried to define the best predictors of critical thinking skills scores. A linear model (including country of study, type of training, employment as well as self-efficacy in critical thinking and metaliteracy) is statistically significant although with limited predictive capability. However, strategies and practices described in the third article and observed in real-life context show only minimal differences between used strategies: it seems that students following a vocational training would more likely mobilize metacognitive and self-critical strategies when their counterparts in disciplinary training use more criterion-referenced strategies.The research highlights the positive role of relationship to current and prospective employment of preservice teachers in defining critical thinking skills and dispositions, combined with specific strategies for dealing with information. The results support the increase of preservice teacher training integration into educational practice and suggests the support of career planning to develop critical thinking skills. Strength and limitations of the research are discussed and several recommendations are offered for research project and educational system, in terms of educational policy and school practices.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,012
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,034
Score d'incertitude au seuil0,068

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,012
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0070,011
Communication savante0,0090,006
Science ouverte0,0010,003
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,083
Tête enseignante GPT0,423
Écart entre enseignants0,340 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2021
Routes d'admission1
Résumé présentoui

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