Enhancing Collaborative Problem-Solving Competencies by Using STEM-Based Learning Through the Dietary Plan Lessons
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Notice bibliographique
Résumé
This classroom action research aims to investigate the development of collaborative problem-solving competencies using STEM-based learning through dietary plan lessons. The participants included 77 twelfth-grade students in the 2018 academic year in the science-technology program in a public school under the supervision of the Ministry of University Affairs. Two types of instruments were used in the study: 1) ten lesson plans of the biomolecules unit equivalent to eighteen lesson periods; 2) data collection instruments, including collaborative problem-solving competencies observation sheets, students’ learning reflections, and informal interview protocols. The data analysis involved frequencies, percentages, and content analysis. The results of the study revealed that the students improved all three competencies. Regarding the first competency, “Establishing and Maintaining Shared Understanding,” the students were accustomed to having a dominant member assigning the task while other members passively followed the orders. When they encountered a problem, each member individually solved it or asked the teachers for help without a group discussion. However, after the instruction, the students improved their communication skills by discussing the task processes with the other group members. Moreover, when a problem occurred, they approached it as a shared responsibility instead of as an individual’s duty. Therefore, the problem was collectively sorted out and successfully solved. In terms of the second competency, “Taking Appropriate Action to Solve the Problem,” the students had previously been assigned their roles by the group leaders without consideration of the strengths and weaknesses of each member, resulting in an unsuccessful task. After the instruction, everyone became more collaborative in considering the task at hand and discussed the role that best suited each member. When they encountered a problem, everyone collectively planned the appropriate steps toward the solution. With regard to the third competency, “Establishing and Maintaining Team Organization,” the students had not previously reflected on their performance, but after the activities, they learned to provide feedback to improve other members’ understanding and carry out the task more efficiently. A challenge that emerged in implementing the activities involved the time issue. It is important to manage time effectively and to challenge the students to collaboratively solve the problem. The instructional activities should be conducted continuously by rotating students into new groups where they can practice their teamwork skills with others. Moreover, the collaborative problem-solving activities are found to be applicable not only for a STEM-based approach but also for a project-based approach.
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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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 découle