O USO INTENSO DAS TECNOLOGIAS DA INFORMAÇÃO E COMUNICAÇÃO NA EDUCAÇÃO BÁSICA EM TEMPOS DE PANDEMIA: DO ESTRANHO AO POSSÍVEL
Notice bibliographique
Résumé
The main objective of this work is to understand how the process of the use of technological resources by the school community in the educational offer mediated by Information and Communication Technologies (ICT) during the COVID-19 pandemic, identifying the main challenges faced. The research was developed within the scope of the master's degree, an integral part of the Postgraduate Program in Education (PPGE), of the Federal University of Mato Grosso (UFMT), in the research line School Organization, Training and Pedagogical Practices and is linked to the Research Group Laboratory of Studies on Information and Communication Technologies in Education (LTECE). In the course of the work, we sought to understand the actions that directly impact public elementary schools in the offer of ICT-mediated education, to identify the main challenges faced, to know how the technological appropriations were made by the school community, which led us to the following guiding question: how was the process of using technological resources by the school community in the offer of ICT-mediated education and what were the main challenges faced during the COVID-19 pandemic? The research has as its methodological strategy the qualitative approach that was adopted through documentary analysis, forms, participant observation, and interviews. This research was conducted in two municipal schools located in the city of Cuiab, in the state of Mato Grosso. In this environment of a health crisis, it seemed to be a propitious moment for an experiment of possibilities with the arrival of the COVID-19 pandemic, in which public and private schools, in an exceptional way, included in their formative environments the intensive use of ICT. It should be noted that from the research supported by the theoretical contribution, the analysis of the results was generated and summarized in three major themes on the intensive use of devices and applications, the "re"found of teaching and families and schooling in inequalities. The results of the research present a documentary analysis, the various uses of ICT employed during the supply of classes, besides alluding to the possibilities and challenges faced that were collected by the timeliness of the instruments of this research. We emphasize that the mapping of the ICT used, carried out by this research, may help in further research on the subject and support the analysis of pedagogical practices mediated by Information and Communication Technologies.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,007 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,024 | 0,002 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».