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Record W3192353893 · doi:10.35199/epde.2021.5

A MODEL FOR LEARNING TEAMWORK SKILLS

2021· article· en· W3192353893 on OpenAlex
Virginie Tessier

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsTeamworkConstructiveAcknowledgementCurriculumProcess (computing)BachelorKnowledge managementPsychologyQuality (philosophy)Medical educationComputer sciencePedagogyManagementMedicinePolitical science

Abstract

fetched live from OpenAlex

The social practice of design is well implanted in the professional field. Working with others from inside or outside the field is recognized as beneficial for a project’s quality and efficiency. Educational establishments have answered this global phenomenon by inciting students to work in teams during their training. On the basis that teamwork is learned from experience, they have until now assumed that no global initiatives are needed to support learning of teamwork skills. Still, professional organizations are complaining that novices entering the field are not ready to collaborate – putting light on a conflicting situation that needs improvement. Investigation of design curriculum structure translates an acknowledgement of teamwork’s relevance, but few integrated initiatives to favor learning and practice. Teachers integrate team projects on the basis of their own judgment, leading to isolated initiative, lacking constructive alignment. Constructive alignment sees an educational program as a system, seeking for connections and interactions between its elements in order to favor deep learning (Biggs, 1996). Concerned about the integration of teamwork in design programs, this research investigates how these skills and experiences are lived and learned by the students in order to propose empirically based recommendations. To investigate this research problem, 22 bachelor’s degree students with ranging profiles and training stages integrated the data collection process of this research. All students were followed during their team project (five to seven weeks). They were asked to reflect on their daily activities by producing weekly entries describing their project’s development, challenges and decision-making. The final activity of the data collection planned an interview with each participant to conclude the research and discuss their project experience. All collected data was coded. Codes were organized systematically by order of occurrence and thematically to generate meaning. The classification of codes led to the identification of five main categories describing the learning experience of teamwork skills: (1) personal, (2) project, (3) organizational, (4) learning, and (5) social. Each of these categories is associated to specific or transversal skills and described by factors. This information is classified in stages of complexity in our model of zones of proximal development for teamwork skills. The zone of proximal development (ZPD) is a concept borrowed from developmental psychologist Vygotsky. The ZPD distinguishes stages of development between what an individual can do on his own from what he or she can do with the help of someone else – triggering a gain in upcoming development stages. It also translates a future-oriented and socially guided learning context, both promising for design expertise. Ultimately, the model can be used for constructive alignment between the different stages of a design program. It identifies which skills should be integrated at each stage of a bachelor's program and the relations between each of its stage, zone, skill and factor. The proposed model integrates a first stage of adaptation to basic disciplinary tools and skills; a second stage of development of skills and efficiency; and a third stage of refinement and integration of disciplinary or interdisciplinary community.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.837
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.007
GPT teacher head0.216
Teacher spread0.209 · 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