Promoting the wellbeing of students and the sustainability of a university campus: solutions from a design thinking experiment
Notice bibliographique
Résumé
Purpose The purpose of this paper is to conduct a design thinking (DT) experiment with graduated students to generate solutions for improving student wellbeing and facilitating the ecological transition of a university campus. Design/methodology/approach Over a two-month period, seven graduates from a teaching program (the designers) participated in a DT experiment with a research team to find solutions to improve a university campus in Eastern Canada. The conceptual challenge concerned student wellbeing and the ecological transition of the outdoor campus. A content analysis was performed on the solutions generated by the designers using two frameworks: Dodge’s model of wellbeing and the Sustainable Development Goals (SDGs) framework for the sustainability of the institution. Findings The authors explore the solutions proposed by the designers, which were mainly related to wellbeing and quality of education (SDGs 3–4), but also to the terrestrial environment (SDG 15) and to inclusion and equity (SDGs 10–16). The solutions for the physical wellbeing of the students emphasized designing a campus with sport facilities. Psychological solutions focused on creating spaces for relaxation and fostering a sense of belonging. The solutions for social wellbeing involved building spaces for socializing and studying. The results generate solutions according to an emerging fourth dimension to wellbeing: the environmental dimension. These solutions involved greening the campus to encourage a connection between students and nature while improving the quality of education and inclusion by means of decolonizing and Indigenizing education. Another finding acknowledged the relevance of DT as a significant tool for the ecological transition of universities. Research limitations/implications This study focused on one university campus and a single DT experiment. The designers’ solutions were not tested on the campus but were submitted to a group of international students for feedback. Even if the solutions are supported by some authors in the field of higher education, there is a need to test the solutions proposed in this experiment to better understand their potential impacts. More research on DT in universities is needed to find innovative solutions and assess their impact on student wellbeing and sustainability in Canadian higher education. Practical implications The solutions presented in this study can inspire universities and communities in their actions toward a more caring society, and in their ecological transition to reach as many SDGs as possible for a sustainable future. By adopting collaborative processes such as DT, university and city stakeholders may find ways to engage in sustainable paths. Originality/value To the best of the authors’ knowledge, this study is the first of its kind in Eastern Canada to analyze solutions generated by a DT experiment in the context of developing a university campus that fosters student wellbeing and sustainability.
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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 | 0,008 | 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 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 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 ».