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Students’ Perceptions of Effective Classroom and Clinical Teaching in Dental and Dental Hygiene Education

2006· article· en· W1852001767 on OpenAlexaff
Dieter J. Schönwetter, Salme E Lavigne, Randy Mazurat, Orla M. Nazarko

Bibliographic record

VenueJournal of Dental Education · 2006
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsEnthusiasmDental hygieneMedical educationQualitative researchDentistryTeaching methodPerceptionHygienePsychologyMedicinePedagogySociology

Abstract

fetched live from OpenAlex

Effective teaching behaviors have been studied in various arenas in higher education. However, there is limited research documenting effective teaching behaviors in dentistry and dental hygiene. Our qualitative study attempts to define effective teaching in both the classroom and clinic for dentistry and dental hygiene students. A total of 175 dental and dental hygiene undergraduate students nominated a total of forty instructors for teaching awards, providing a total of 695 qualitative statements reflecting their teaching in two learning contexts: the classroom and the clinic. Seven categories of effective teaching qualities were identified: individual rapport, organization, enthusiasm, learning, group interaction, exams and assignments, and breadth. Based on the frequency of the themes, effective teaching in the classroom was best defined by organization and rapport, whereas in the clinic, rapport was the most frequently described behavior. Moreover, dentistry students perceived enthusiasm as an effective teaching quality more frequently than did dental hygiene students, whereas dental hygiene students provided more responses to learning. These findings can provide guidance in preparing undergraduate dental and dental hygiene educators to enter the teaching environment. The ultimate goal to be achieved from identification of effective teaching qualities, as determined in this study, is improvement in clinical and classroom teaching for dentistry and dental hygiene programs.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.393
Teacher spread0.386 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations108
Published2006
Admission routes1
Has abstractyes

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