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Record W3082153925 · doi:10.23977/aetp.2020.41014

Exploration and Practice of PLC Virtual Simulation Experiment Teaching Based on CDIO Mode

2020· article· en· W3082153925 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.

venuePublished in a venue whose home country is Canada.
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

VenueAdvances in Educational Technology and Psychology · 2020
Typearticle
Languageen
FieldEngineering
TopicMechatronics Education and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCDIOAdaptabilityScope (computer science)CurriculumProcess (computing)EngineeringEngineering educationVirtual LaboratoryPlan (archaeology)Teaching methodEngineering managementComputer scienceSystems engineeringMathematics educationMultimediaPedagogyOperating system

Abstract

fetched live from OpenAlex

This paper introduces the PLC virtual simulation laboratory system, comprehensively analyzes its advantages over traditional laboratories, shortens the experimental cycle, reduces the experimental cost and expands the scope of the experimental content. The introduction of the CDIO model and the analysis of the advantages and adaptability of the CDIO concept in engineering curriculum education. The CDIO concept is combined with the PLC virtual simulation laboratory to design a teaching plan suitable for the PLC experiment course. Through teaching practice and teaching results, it is proved that students' practical ability, innovative ability and the ability of engineering products, process and system construction are improved.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.772
Threshold uncertainty score0.353

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 head0.026
GPT teacher head0.394
Teacher spread0.368 · 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