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Record W7134226245 · doi:10.21606/drslxd.2025.015

Tutor guidance in design studio: study of effects and challenges

2025· article· W7134226245 on OpenAlexaff
Mithra Zahedi, Virginie Tessier

Bibliographic record

Venuenot available
Typearticle
Language
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsTUTORData collectionIdeationStudioProcess (computing)Outcome (game theory)Engineering design processResearch designFraming (construction)Activity theory

Abstract

fetched live from OpenAlex

This paper reports a case study exploring the collaborative design process of students in an industrial design studio during the final year project. The study is on the impact of the tutor’s guidance on students during the first seven weeks of a 15-week project period when framing and ideation of the project were planned. The case study is composed of two projects involving four students and looked into the students’ reflective thinking. The participating students used a research-through-design approach for collecting data. They were asked and guided to document their design activities as their project advanced. They were also asked to reflect on their collaborative process while collecting data. The students received short training on documenting their design actions using the designerly activity theory model (a model that is an expansion of activity theory). The students used a template based on the model to allow them, as designer researchers, to report on their actions while or after each working session. This data collection resulted in a total of 136 completed templates. We analyzed, modelled, and translated the data gathered on the templates into synthesized findings about the project phases, processes, and tutor’s influence on students’ learning experiences. The designerly activity theory model was used again for this interpretation. The results highlight several points about the phases of the project and tutors’ guidance in the design studio. These points are then shared with participants for comment. The outcome of the study contributes to the design pedagogy by bringing our attention to some challenges that students go through.

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)0.019
metaresearch head score (Gemma)0.106
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.106
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.117
GPT teacher head0.429
Teacher spread0.312 · 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 designObservational
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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