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Does Size Really Matter? A Comparison of Class Size and Student Outcomes in Introductory Physiology Courses

2017· article· en· W4389020531 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.

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsAmbrose UniversityUniversity of Calgary
Fundersnot available
KeywordsClass (philosophy)Mathematics educationTest (biology)Class sizePsychologyInstitutionMedical educationMedicineComputer scienceBiology

Abstract

fetched live from OpenAlex

Traditionally, it's been thought that small class size resulted in better student outcomes. As teaching styles change and inquiry‐based learning becomes more common, this may not necessarily be the case. This study examined student outcomes for introductory physiology courses of different sizes at two different institutions over a three year period. One course averaged 30 students per year while the other course averaged 200 students per year. Both courses were taught by the same instructor, using the same teaching materials, lecture style, and inquiry‐based techniques. The same hands‐on lab exercises were taught and the same lab report questions were assigned. Tutorials involved teaching the same case studies (by the instructor at the small institution and by teaching assistants under the direction of the instructor at the larger institution). Each course used the same exam questions and consisted of multiple choice and short answer formats. With class size being the only significant variable, it was possible to test if class size was a key factor in student success. Students in both courses (and in all years) were given a pre‐test to assess the student knowledge base at the beginning of the course. In all cases, the pre‐test showed similar levels of starting knowledge between the different‐sized courses (31.1±1.8% for the smaller course vs. 30.6±0.9% for the larger course). Student outcomes were compared between the classes by assessing exam grades (overall scores as well as individual question scores), comparing lab report grades, and by comparing final course grades. Assessment of all these parameters showed no significant difference between the two courses and this result was seen in each year of the study. Lab report grades, averaged over 5 lab reports, differed by less than 2% between the large and small courses (not a significant difference). Mean exam scores and final grade scores were also not significantly different for any of the years of the study. Course grades between the courses differed by less than 3±0.8%. These results would indicate that class size alone was not a significant factor in determining student outcomes. Students showed similar success in both large and small classes when all other factors were similar. Interactive lectures, as well as the use of case studies and other inquiry‐based learning methods may have a much greater influence on student learning and success than class size.

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)0.005
metaresearch head score (Gemma)0.002
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 score0.089
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.042
GPT teacher head0.423
Teacher spread0.381 · 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