Objetos de aprendizagem como mediadores para o ensino de história africana e afro-brasileira: um olhar sobre a prática do professor de química
Notice bibliographique
Résumé
Relevant aspects discussed in this paper on the use of Information and Communication Technologies (ICT) in school settings, as well as teaching practice in the use of digital tools. Given the diversity of media, in this paper we highlight the main characteristics of learning objects, presenting in detail four instructional materials built by a multidisciplinary team from the Federal University of Uberlndia, during the term of RIVED (Virtual Interactive Education Network) project. Assuming that these textbooks can be used to work Africanities matters relating to the teaching of chemistry in our research, we analyze the strategies developed by three chemistry teachers to use these materials in their classes, the difficulties encountered in this process and present some situations for discussion of topics related to education for ethnic-racial relations in the school environment, particularly in the teaching of chemistry. This study is a qualitative study in which we maintained direct contact with research subjects and used as tools for building data, questionnaires, interviews and participant observation. Data analysis was performed by the discursive textual analysis method, and our results show that the chemistry teachers, who are active in the schools, know, superficially, the existence of Law 10,639 / 03, which has the obligation to teach subjects related History of the African and Afro-Brazilian culture in all levels of education, and they received no training for the fulfillment of the provisions this legislation. In this sense, our results point to the need for training of teachers who are involved in education at all levels as well as the inclusion of disciplines in undergraduate programs that can empower teachers to create strategies and teaching materials involving this thematic. The use of learning objects was observed that one of those involved in the research, presented in total control using this type of teaching tool in their classrooms while some teachers had difficulties in modifying their teaching practices in order to utilize the full potential of this type of learning material. The participation of teachers in the survey served as a time for reflection and learning for them, which were in contact with educational material that presents a proposal different from other materials already used by them.
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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».