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Record W1511984175 · doi:10.24908/pceea.v0i0.4870

INCORPORATING TEAM-EFFECTIVENESS AS A LEARNING OBJECTIVE IN THE DESIGN PROJECT WITHIN A TECHNICAL CORE COURSE

2013· article· en· W1511984175 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2013
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTeamworkTeam effectivenessVocabularyTeam-based learningPresentation (obstetrics)PsychologyPsychological safetyTeam learningProject-based learningDeliverableLearning stylesCooperative learningMathematics educationKnowledge managementEngineeringMedical educationTeaching methodComputer scienceManagementOpen learning

Abstract

fetched live from OpenAlex

CHE 230 ‘Environmental Chemistry’ is a core Chemical Engineering course offered in the spring semester of second year. A central element of the course is the ‘Environmental Consulting Engineering’ project, a full semester design project that is executed in five-member teams. The acquisition of teamwork and group-leadership skills has been one of the project learning objectives for about five years; the related instructional components have been refined every year. This presentation will describe the theoretical foundation and methods used to teach team-effectiveness as part of this design project. Instruction of team skills has been based on two conceptual frameworks. A leadership styles framework examines the preferences of individual students and helps students see how these styles are manifested within a team. This framework allows students to identify their leadership style preferences and more importantly, recognize the strengths of others, and styles that may be missing from their team. A team-effectiveness framework helps students examine organizational, relational and communication behaviours evident within their team, and thereby helps students to recognise where they do, or do not, tend to contribute. These two frameworks provide students with a shared vocabulary, along with a basis to observe and understand their team experiences that can then be used to promote learning and structured reflection. The instructional components used are an introductory lecture on team effectiveness, a two-hour team formation workshop, a reflection done by the team after the first major deliverable and an individual reflection at the end of the course. These components are intended to direct students from recognizing aspects of team-effectiveness, towards seeing deficiencies in their team or their individual contributions. The students are then guided towards finding practical tools and techniques that they can use to become more effective at different aspects of teamwork.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.553
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.008
GPT teacher head0.223
Teacher spread0.215 · 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