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Between Knowing and Learning: New Instructors' Experiences in Active Learning Classrooms

2018· article· en· W2801274633 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsRoyal Military College of CanadaQueen's University
Fundersnot available
KeywordsTransformative learningPedagogyActive learning (machine learning)PsychologyMathematics educationHumanitiesArtComputer science

Abstract

fetched live from OpenAlex

Over the past 20 years, interest in the impact of space on teaching and learning has grown, and higher education institutions have responded by creating Active Learning Classrooms (ALCs)—spaces designed to promote active, student-centred learning. While ALC research has explored teaching methods, student experience, and student learning, less is known about how teaching in these spaces affects instructors. We contribute to this discussion by investigating teachers’ educational development in these spaces. We asked new instructors to reflect on their ALC experiences, exploring their pre-course preparation and their perceptions about themselves, their students, and teaching and learning. Their reflections revealed key differences between knowing and learning: Although all participants knew about and were dedicated to student-centred pedagogy before teaching in the ALCs, teaching in these spaces prompted transformative learning through which they shifted both their behaviours and perceptions about student learning and about their own roles in the classroom. Au cours des 20 dernières années, l’intérêt consacré à l’impact de l’espace sur l’enseignement et l’apprentissage a augmenté et les établissements d’enseignement supérieur ont répondu en créant des classes d’apprentissage actif (CAA) – des espaces consacrés à la promotion de l’apprentissage actif centré sur l’étudiant. Alors que la recherche portant sur les CAA a exploré les méthodes d’enseignement, l’expérience des étudiants et l’apprentissage des étudiants, on s’est moins intéressé à la question de savoir comment le fait d’enseigner dans ces espaces affectait les instructeurs. Nous contribuons à cette discussion en examinant le développement éducationnel des enseignants dans ces espaces. Nous avons demandé à de nouveaux instructeurs de réfléchir à leurs expériences en CAA, d’explorer leurs préparations avant les cours et leurs perceptions sur eux-mêmes, sur leurs étudiants et sur l’enseignement et l’apprentissage. Leurs réflexions ont révélé des différences majeures entre savoir et apprendre : bien que tous les participants aient été au courant, avant d’enseigner dans une classe d’apprentissage actif, de la pédagogie centrée sur l’apprenant et y aient été dévoués, l’enseignement dans ces espaces a engendré un apprentissage transformateur qui a abouti à un changement à la fois dans leurs comportements et dans leurs perceptions sur l’apprentissage des étudiants ainsi que sur leurs propres rôles dans la salle de classe.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0110.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.355
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it