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Record W2954867402 · doi:10.22260/isarc2019/0148

Implementing Collaborative Learning Platforms in Construction Management Education

2019· article· en· W2954867402 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProceedings of the ... ISARC · 2019
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsnot available
Fundersnot available
KeywordsBuilding information modelingClass (philosophy)Engineering managementProject managementConstruction managementKnowledge managementComputer scienceEngineeringSystems engineeringOperations management

Abstract

fetched live from OpenAlex

Implementing Collaborative Learning Platforms in Construction Management Education Ralph Tayeh, Fopefoluwa Bademosi and Raja R.A. Issa Pages 1114-1120 (2019 Proceedings of the 36th ISARC, Banff, Canada, ISBN 978-952-69524-0-6, ISSN 2413-5844) Abstract: Over the last few decades, the investments in more complicated construction projects, involving multiple disciplines and different teams, have increased the need for more complex communication means. The purpose of communication methods is to ensure higher levels of coordination between project participants (owners, architects, engineers, contractors, suppliers, etc.). Adequate communication brings many benefits to a project, such as improved team performance due to information exchange, increased knowledge of other participants’ skills or their availability. Building Information Modelling (BIM) has the ability to aggregate information on construction projects and facilitate the design, construction, and facility management processes. Therefore, including BIM classes in construction management education is of utmost importance for the success of students. Moreover, introducing cloud collaboration to these classes helps students better understand the collaborative aspect of the construction industry. The purpose of this paper is to study the benefits of Autodesk Next Gen BIM 360 brought to a graduate BIM class. Students of this class were divided into groups and asked to model the different disciplines of a project using Autodesk Revit© while collaborating the project on Next Gen BIM 360. At the end of the semester, students reported the benefits and drawbacks of Next Gen BIM 360. The benefits included the ease of use of the platform, better communication of ideas and concerns using Next Gen BIM 360 cloud services, real-time collaboration opportunities, and model coordination on the cloud. Keywords: BIM; Next Gen BIM 360; Collaboration; Construction; Education DOI: https://doi.org/10.22260/ISARC2019/0148 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.262

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 head0.003
GPT teacher head0.195
Teacher spread0.192 · 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