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Enregistrement W141208646

Natural Settings, Restorative Environments, and Adult Learning

2003· article· en· W141208646 sur OpenAlex

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Notice bibliographique

RevueAdult Learning · 2003
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueEducational Environments and Student Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNatural (archaeology)AppealPoint (geometry)SociologyPsychologyHistoryPolitical scienceArchaeologyLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Lisa, a weekend workshop participant at the Omega Institute, a residential retreat center, described her reaction to the wooded campus located in rural upstate New York: The setting is very, very important. I mean, that really is a huge part of the experience with their location. You could just take a huge breath of fresh air. I loved the grounds, the flowers, the herb garden, all of that; everything was just really well kept as far as the grounds, the trees. Everything was really pretty, the lake ... they picked a really good spot for [the campus]. I love hills, so I like the rough terrain and everything; it just felt fresh and clean. Most people would agree with Lisa that a lovely natural setting could be a great boon for any educational environment. Like Lisa, most of us have similar reactions in such settings; we feel relaxed and yet invigorated. Intuitively, most of us would agree that having pleasant natural surroundings is preferred. A beautiful location is a great selling point particularly in the case of organizations that offer residential learning experiences such as retreats, workshops, and conferences. This is no small detail in terms of the marketability of a program. Making informed decisions about program location is critical for program planners in adult education. And if educators and administrators understand the benefits of certain natural settings, they could use them to enhance the appeal and overall effectiveness of educational programs. Unfortunately, the role of the natural setting is not explored in depth in the literature on adult learning environments. In Toiviainen's (1995) work on folk high schools, he notes that most are located in beautiful settings: It is extremely difficult to estimate the impact on learning that the practicality and attractiveness of the teaching premises or the beauty of the surrounding nature have, but it is clear that folk high school people have always considered them as important contributing factors (p. 14). Other adult educators have noted this too. For example, Bersch and Lurid (2002) studied the formation of an adult learning community on Yukon Island, Alaska. The setting was remote and somewhat harsh, with dense woods and an abundance of wildlife. The natural setting was beautifully rugged; Bersch and Lurid suggest that it aided participants in their learning and community building because it heightens the senses and brings one closer to nature and to oneself (p. 74). A lovely natural setting is a preference for some people. However, the challenge is using such a setting to create a more effective learning environment. In my own research on adults' residential learning experiences, comments like Lisa's sent me hunting for answers that led me to studies in environmental psychology, a field which has done much to increase our understanding of how the natural setting shapes our behavior and well-being (Grill, 2003). In what follows, I will present a small slice of the knowledge base on natural settings and make suggestions for how to improve adult learning experiences. The Restorative Experience The kind of natural environment that Lisa experienced on her weekend retreat would be labeled by environmental psychologists as restorative. According to psychologists Rachel and Stephen Kaplan (1989), whose work has significantly shaped this area of research, such environments are identified by four characteristics: a) being away in other words, a setting that is physically or psychologically different from one that is typically experienced; b) extent, meaning a setting that is rich and coherent enough to sustain a person's interest and the sense of being away; c) fascination, or effortless attention which can come from objects in the environment or processes related to making sense of the environment; and d) compatibility;, which is the match between a person's purposes and inclinations within an environment and the demands and resources of the environment itself. …

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,779
Score d'incertitude au seuil0,993

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,007
Tête enseignante GPT0,281
Écart entre enseignants0,274 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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