Editorial: Creativity and creativity awareness: new directions
Notice bibliographique
Résumé
People vary in their awareness of creativity. A professional soccer coach needs to be keenly aware of soccer creativity when viewing a young soccer player demonstrating innovative moves to pass a defender and to score a goal. If creativity is to flourish in a community, people need to be aware of creativity when exposed to it.How individuals develop creativity awareness and intentionally engage in creative processes constitutes a primary focus of this Frontiers in Psychology Research Topic "Creativity and Creativity Awareness: New Directions". Readers will explore this topic with the aid of seven articles edited by Bart and Can.In an empirical article entitled "Direction and contextual influences on creative thinking", Tadik, Runco, and Bahar define discretion as a specific form of creativity awareness with a focus on how individuals intentionally decide whether to express creative ideas depending on social contexts. They utilized a novel method to assess the role of discretion in the creative process, and operationalized it as deliberate engagement in idea expression. By examining discretion across playful versus work-oriented settings, their research suggests that contextual awareness influences how and when individuals engage in creative behavior as well as how they exercise discretion in producing ideas.In an original research article entitled "Exploring creative thinking skills in PISA: An ecological perspective on high performing countries", Gelmez-Burakgazi and Reiss investigated how educational contexts and ecological factors shape student creative thinking across countries. They examined the PISA 2022 assessment of creative thinking, which assessed the ability of 15-year-old students to generate, evaluate, and refine ideas. Focusing on Singapore, Canada and Finland -three high-performing countries -, they analyzed the systemic influences on shaping student creative thinking by using Bronfenbrenner's ecological perspective. Their results highlight the influence of ecological systems on student creative thinking abilities and suggest that cross-national insights from these high-performing countries can guide researchers, policy makers, and educators in nurturing creativity.In an article entitled "A new perspective on scoring children's originality: A standards-based criterion-referenced assessment approach", Bahar and Maker advance the understanding of creativity awareness by proposing a standards-based criterion-referenced assessment approach for scoring originality with a particular focus on teaching for creativity.They illustrate their perspective with examples drawn from evidence-based educational models that are aimed at developing student ability to solve real-world problems creatively.They contended that appropriate assessment methods are crucial for supporting and tracking learning and that their approach holds important implications for both instructional practice and future research.In a conceptual article entitled "Observation: Unlocking, assessing, and nurturing creative problem solving", Maker and Bahar highlight the importance of observing student actions to unlock, assess, and nurture creative problem solving. Drawing on 37 years of research using the DISCOVER (Discovering Intellectual Skills and capability while Observing Varied Ethnic Responses) model, they identified observable behaviors as indicators of creative problem-solving ability. The authors also offer practical methods by describing activities, experiences, and materials that can be used to elicit and develop these skills.In the original research article entitled "Development and validation of the scale of aesthetics and creativity in chess", Scherbakova, Engelhard, and Bahar deepen our awareness of how creative potential can be recognized and measured in specific contexts by showing how creativity and aesthetics manifest differently across levels of expertise. They investigated the psychometric properties of the Scale of Aesthetics and Creativity in Chess (SACC) using data from 132 chess players ranging from expert to non-expert players. Results from the Many-facet Rasch model showed that the scale was unidimensional, explaining 50.59% of the variance. The reliability indices were strong for both items (0.83) and participants (0.93). Their findings also demonstrated that the level of chess player expertise predicted SACC scores. However, Intermediate players scored lower than Beginners, more Advanced, and Expert players.Artificial intelligence is at present a fashionable topic in cognition and this compendium on creativity awareness includes an article on that topic. In an empirical article entitled "The influence of generative artificial intelligence on creative cognition of design students: A chain mediation model of self-efficacy and anxiety", Hwang and Wu examined how generative AI can promote the cognition of students in design through the mediating roles of self-efficacy and anxiety reduction. Using survey data from 121 university students in Southern China, they found that generative AI positively influenced innovative thinking of students, mediated by self-efficacy and anxiety reduction, including a serial mediation effect.Their results suggest that integrating AI into design curricula could promote creative cognition, improve academic achievement, and develop student design capabilities.The final and seventh article for this research topic is entitled "A systems approach to creative flourishing: Conceptual foundations and implications for development". In this review article, Glass introduces the concept of creative flourishing. Defined as the convergence of creative agency, creative self-efficacy, and flow proneness within a supportive environment, creative flourishing reflects the harmonious alignment of creative desire, perceived skill, and contextual experience. Glass examines intervention strategies that promote awareness of creative flourishing and discusses ways to assess its growth.Overall, these studies offer practical implications for policy makers, educators, and researchers. By presenting the dynamic interplay among individual abilities, social context, and technological innovations, this collection posits that promoting creativity in the 21st century requires an integrated and multidimensional approach. In doing so, these contributions can help recognize and nurture the creative potential in diverse contexts.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,036 |
| Méta-épidémiologie (sens strict) | 0,005 | 0,002 |
| Méta-épidémiologie (sens large) | 0,005 | 0,005 |
| Bibliométrie | 0,005 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,005 |
| Communication savante | 0,010 | 0,007 |
| Science ouverte | 0,007 | 0,002 |
| Intégrité de la recherche | 0,026 | 0,028 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,015 | 0,012 |
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 source (Gemma direct ou Codex distillé), 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 ».