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Options to Bring Design and Construction Experience into the Classroom

2013· article· en· W2122024834 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

VenuePractice Periodical on Structural Design and Construction · 2013
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsMcMaster University
FundersArizona State University
KeywordsVariety (cybernetics)Multidisciplinary approachCurriculumEngineering managementEngineering ethicsSustainabilityEngineeringGlobalizationEngineering educationConstruction industryConstruction managementConstruction engineeringComputer scienceSociologyPolitical sciencePedagogyCivil engineering

Abstract

fetched live from OpenAlex

The construction industry is experiencing an array of significant, rapid, and revolutionary changes driven by forces such as globalization, advances in engineering technologies and information systems, sustainability requirements, and the multidisciplinary and complex nature of the problems in the 21st century. These changes require the higher education system to follow and prepare the next generation of professionals for success in the variety of professions supporting the life cycle of the project. Integrating design and construction experience into the typical academic curricula is at the core of this requirement, which gives students the required vision to understand and appreciate the industry, its challenges, and its needs for innovation. This paper presents a number of practical options to bring design and construction experience into the undergraduate level construction engineering and management programs. Some of the options presented in this paper have been widely practiced in major universities or colleges. This study aims at reviewing and summarizing these practices and presenting them through separate guidelines for construction faculty, students, and practitioners. Although the major focus of this paper is on undergraduate education, the presented guidelines can also be adopted for graduate programs. A case study of a successful student engagement in industry practice is also presented, and additional remarks and suggestions are discussed.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.714

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 communication0.0010.001
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 head0.013
GPT teacher head0.250
Teacher spread0.237 · 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