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Lecture Slides Design: Medical Students’ Preferences of Best Practices

2021· article· en· W3168962288 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldPsychology
TopicVisual and Cognitive Learning Processes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDisk formattingCurriculumConsistency (knowledge bases)ChecklistMedical educationClass (philosophy)StandardizationQuality (philosophy)Computer sciencePsychologyMultimediaMedicinePedagogy

Abstract

fetched live from OpenAlex

Large group lectures that are centred on PowerPoint (PPT) slide presentations are a ubiquitous instructional format during the pre‐clinical years of medical schools around the world, whether delivered virtually or in‐person. However, lecturers rarely receive formal training on how to design their lecture slides to optimize student learning. Consequently, due to the large number of faculty members delivering lectures in undergraduate medical curricula, there is wide variation in slide layout and organization. Cognitive load theory provides an established rationale for standardization of this aspect of lecture delivery. To assess students’ experiences and preferences with lecture slides design, a survey was distributed to students in the MD Undergraduate Program at the University of British Columbia (UBC), Canada. The survey evaluated students' experiences with PPT slides in large group lectures through the entirety of their first year of medical school. Questions explored the perceived importance of lecture slides in understanding content, and satisfaction with slide formatting, quality and consistency. Over‐all, the majority of student responses rated the importance of lecture slides and their design and formatting to be “important” or “very important” elements for understanding a lecture during class (87%), and even more so for reviewing and studying after a lecture (93%). Specifically, students highlighted the need to address the quality and consistency of lecture slides in the curriculum and pointed to elements such as colour, layout, and image quality as areas for improvement. Results were used to formulate a one‐page checklist of best practices for slide design, which is now distributed to all lecturers in the UBC undergraduate medical curriculum. Major recommendations include addressing readability by using simple white backgrounds with black text, the provision of relevant and high‐quality graphics, and higher level session organization through the use of lecture objectives, tables and summary slides. Our results will be useful and of interest to all medical and allied health professionals who lecture using PPT slides.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.134
GPT teacher head0.433
Teacher spread0.299 · 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