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Record W2256713228 · doi:10.1002/ase.1584

Mixed methods student evaluation of an online systemic human anatomy course with laboratory

2015· article· en· W2256713228 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

VenueAnatomical Sciences Education · 2015
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsUniversity of TorontoWestern University
Fundersnot available
KeywordsScheduleMedical educationOnline courseFlexibility (engineering)Online learningDistance educationPaceOnline discussionPsychologyComputer scienceMultimediaMathematics educationMedicineWorld Wide Web

Abstract

fetched live from OpenAlex

A fully online section of an existing face-to-face (F2F) systemic human anatomy course with a prosection laboratory was offered for the first time in 2012-2013. Lectures for F2F students (N = 365) were broadcast in both live and archived format to online students (N = 40) using virtual classroom software. Laboratories were delivered online by a teaching assistant who manipulated 3D computer models in the virtual classroom environment. An exploratory sequential mixed methods approach was undertaken to determine the most important deciding factors that drive students' preferences for a given format and then to generate theory on the strengths and weaknesses of the online format. Students (20 online; 310 F2F) volunteered to participate in a crossover period of one week to expose them to the course section in which they were not originally registered. Open ended interviews (20 online; 20 F2F) and quantitative surveys (270 F2F) were conducted following a crossover. Students valued pace control, schedule, and location flexibility of learning from archived materials and being assessed online. In the online laboratory they had difficulty using the 3D models and preferred the unique and hands-on experiences of cadaveric specimens. The F2F environment was conducive to learning in both lecture and laboratory because students felt more engaged by instructors in person and were less distracted by their surroundings. These results suggest the need to improve the online experience by increasing the quality of student-instructor communication and in turn student-content interaction with the 3D models. Anat Sci Educ 9: 272-285. © 2015 American Association of Anatomists.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.063
GPT teacher head0.438
Teacher spread0.376 · 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