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Enregistrement W326290091

The High Touch Classroom: Small Group Learning in Large Class Contexts. (the Scholarship of Teaching and Learning)

2002· article· en· W326290091 sur OpenAlexaboutno aff
Andréa Riesch Toepell, Nina D. Cole, Anna H. Lathrop

Notice bibliographique

RevueAcademic exchange quarterly · 2002
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueOnline and Blended Learning
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)ScholarshipClass (philosophy)Higher educationGovernment (linguistics)Teaching methodSociologyQuality (philosophy)Mathematics educationTeaching and learning centerPedagogyActive learning (machine learning)Computer sciencePsychologyPolitical scienceLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Abstract This paper identifies the challenges of teaching in the large classroom context and presents strategies that may be employed to address these concerns. We offer instructional suggestions and practical examples that are designed to enhance student-centered learning, facilitate a personalized teaching and learning environment, and help to make the large class feel and operate like the small one, even for the `super class'. Introduction Over the last decade in North America, a number of factors have radically shifted the nature of teaching and learning in higher education. The computer-assisted information revolution has brought with it the potential for low-cost distance education through the use of interactive instructional software and web-based learning. As a result, nontraditional course providers have begun to compete with traditional post-secondary institutions in the education market. In addition, as government funding for post-secondary institutions has declined, many universities have responded with increased student enrollments. Acutely sensitive to issues of public accountability and the need to attract discriminating and career-sensitive students, tertiary institutions have increased the pressure on teaching faculty to improve the quality of their teaching practices, particularly as this relates to the quality of teaching and learning within the large class context. Although the literature on teaching and learning has identified the challenges involved in teaching larger classes (Gibbs, 1992; Brookfield, 1990, Prendergast, 1994), few scholars have offered practical suggestions for instructors who must accommodate these increasing numbers. Scholars in the field of critical and emancipatory pedagogy (Freire, 1970, Lather, 1991; hooks, 1994) have broadened our understanding of the complexities of the learner and the importance of offering varied learning strategies (Gardner, 1983, 1985). This understanding has led to a greater emphasis on personal interaction and discussion as a form of teaching (Brookfield & Preskill, 1999). Personal interaction is, however, often constrained by the limitations of physical and human resources. As hooks argues, `Even the best, most engaged classroom can fail under the weight of too many people' (hooks, 1994, p. 160). The purpose of this paper is to present teaching and organizational strategies that have been successfully employed by three university instructors who teach large classes. These strategies are used within the context of first year courses in the Faculty of Applied Health Sciences and the Faculty of Business at two Canadian universities. Student enrollment ranges, on average, between 300 and 800 students per course. The Challenge From the perspective of the instructor, the large class environment presents a complex and intimidating venue. This is a context that demands exceptionally high organizational and instructional delivery skills. Given the physical parameters of the lecture forum, a relatively flat space with little seating flexibility, the instructor traditionally presents course content in a structured and deliberately paced manner. The pace of information delivery is tied to the knowledge, attention span and writing skills of the `average' student. Unfortunately, this strategy is often frustrating for students who require either more time or less time to assimilate and understand the material. In addition to these concerns, administrative and technical support for larger classes is far more demanding. If the course has a lab and/or seminar component, then seminar leaders, lab instructors and teaching assistants must be selected, monitored, trained and coordinated. From the student perspective, the large class environment presents its own set of unique challenges. Large lecture halls are not conducive to a feeling of proximity and connection to either the instructor or the information presented in the course. …

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 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)0,007
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,877
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,006
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 Opus0,027
Tête enseignante GPT0,299
Écart entre enseignants0,272 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2002
Routes d'admission1
Résumé présentoui

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