Widening university participation in learning using students’ contextualised storytelling in general chemistry
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Notice bibliographique
Résumé
Many students find introductory general chemistry courses difficult because they feel alienated by traditional approaches to teaching and learning. This can become particularly problematic in laboratory sessions where students simply follow processes and procedures that students can view as being mundane and lacking creativity. Contextualised storytelling offers a novel pedagogical approach to help students connect and make sense of chemistry ideas in the context of their own life experiences. The current study implemented the CLEAR (chemistry learning via experiential academic reflection) approach to contextualised storytelling as a sequence of four assignments across a laboratory course for first-year students. The research explored students’ experiences writing contextualised stories to make sense of and learn chemistry. Using hermeneutics as a methodology, the data collected included participants’ written contextualised stories, semi-structured interview recordings, and field notes. While the CLEAR approach differs from other approaches to storytelling in chemistry education, the current study suggests that CLEAR can make positive contributions to student learning. The findings showed that, although many students initially resisted or felt confused by the new approach, CLEAR helped students see the connection and relevance of chemistry concepts to their lives. Students also recognized the importance of self-directed learning while writing their CLEAR stories, which suggests that CLEAR engaged students in learning that was active and organic. Furthermore, writing CLEAR stories supported students in talking to people about scientific concepts they learned in class, which suggests that writing the CLEAR stories: (a) helped students find the relevancy of the ideas to the degree that they felt they could share the ideas in their own words outside of class and (b) increased students’ interest in the course and what they were learning to the degree that they wanted to share it. Implementing CLEAR as multiple assignments across the course appears important and valuable because students refined their thinking and writing skills through iteration within and across CLEAR stories.
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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 | 0,005 | 0,005 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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