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Record W3170433988 · doi:10.1016/j.destud.2021.101019

Exploring tutor-student interactions in a novel virtual design studio

2021· article· en· W3170433988 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

VenueDesign Studies · 2021
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTUTORStudioDesign studioComputer scienceHuman–computer interactionMultimediaEngineeringProgramming language

Abstract

fetched live from OpenAlex

This exploratory case study investigates a novel adaptation of the virtual studio pedagogy. Students are located in authentic professional practice settings, while tutors remain on campus. Verbalisations of tutors' and students' discussions in 13 weekly sessions were characterized and measured using topic modelling and FBS analysis. Tutors and students exhibited large differences: Tutors' cognitive behaviour was generally more abstract while the students’ was more concrete. Further, while tutors were more concerned with design communication, students engaged with specific issues in the manufacturing and organizational setting of their host. Tutor-student interactions did not change significantly over time, with most of the interactions taking place in the solution space. Categorical differences in topics between tutors and students were found that remained consistent over time. • A novel virtual design studio pedagogy was created. • Students were situated in a practice setting, while tutors remained on campus. • Tutor-student interactions were characterized using topic analysis and FBS. • Categorical differences in topics during interactions remained consistent over time. • Tutors' cognitive behaviour was found to be more abstract than the students'.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.930
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.501
GPT teacher head0.392
Teacher spread0.109 · 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