MétaCan
Menu
Back to cohort

The enteric jazz band lecture: enhancing active learning

2007· article· en· W1969453401 on OpenAlexaffabout
Sarah Forgie

Bibliographic record

VenueMedical Education · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBacteroides fragilisAnaerobic bacteriaCurriculumContext (archaeology)JazzSession (web analytics)MedicineMicrobiologyPsychologyVisual artsWorld Wide WebPedagogyComputer scienceArtBiologyBacteria

Abstract

fetched live from OpenAlex

Context and setting The Year 1 medical and dental curriculum at the University of Alberta, Edmonton contains a 7-week block of microbiology and immunology. In addition to small-group sessions and self-study, the bacteriology component of the course consists of 21 hours of large-group sessions. A teaching intervention was aimed at the 161 students who attended the session on anaerobic bacteria. Why the idea was necessary Despite an increase in small-group learning sessions, large-group lectures continue. If they do not capture students' attention, facts stressed during the lecture are often only briefly retained. Could a teaching technique with a large group that was creative and contained interesting imagery stimulate commitment to longterm memory? What was done During the session on anaerobes, the role of Bacteroides fragilis in intra-abdominal abscess formation was discussed, using a story about Harry Houdini and the Enteric Jazz Band. The story was told with background music (‘Take Five’ by the Dave Brubeck Quartet). Houdini died after abdominal trauma and the story focuses on what was happening in his belly at a cellular level. Initially, all the instruments play, symbolising all of the organisms released into Houdini's abdomen (Escherichia coli on piano, Enterococcus on bass, other enteric gram negatives on the drums and B. fragilis on the saxophone). Then there is a long interval during which the saxophone is silent – when B. fragilis survives exposure to oxygen but does not multiply. The other instruments keep playing, as the other bacteria multiply. As the oxygen is used and the area becomes devitalised, the saxophone plays again: once an anaerobic environment is achieved, B. fragilis can multiply and abscess formation continues. The story ends sadly as Houdini died because he did not receive antibiotics or surgery. Evaluation of results and impact The material was tested in the mid-term examination within 8 days and with a questionnaire 27 days later. A total of 161 students wrote the midterm examination. On the 3 questions related to the intervention, 98.9–100% of students chose the correct answer. On the 1 question related to the lecture material, 52% of the class chose the correct answer. One month after the intervention, 131 questionnaires were returned (81% of the class). Of the respondents, 130 felt the enteric jazz band story was a useful learning adjunct and 97.7% selected bacteria involved in abscess formation correctly. All (100%) remembered that B. fragilis proliferates after a change in oxygen tension and 89·3% recalled that the capsule of B. fragilis is the main virulence factor in abscess formation. All (100%) knew that surgery was required in addition to antibiotics. Student comments were positive: ‘If everything was taught like that, I’d get way better marks!' ‘If there’s anything I will remember years from now, it will be the jazz band', and ‘It was awesome entertaining, and the only time I’ve ever remembered anything from [a] lecture without studying it!' An intervention that emphasised creativity and lasted 5 minutes helped students commit lecture information to long-term memory.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0030.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.003

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 head0.015
GPT teacher head0.265
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueMedical EducationSame topicDiverse Music Education InsightsFrench-language works237,207