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Record W2087069132 · doi:10.4018/jdet.2004010102

Using Virtual Instrument to Develop a Real-Time Web-Based Laboratory

2004· article· en· W2087069132 on OpenAlexfundno aff
Kin Cheong Chu

Bibliographic record

VenueInternational Journal of Distance Education Technologies · 2004
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsnot available
FundersHong Kong Polytechnic UniversityChinese University of Hong KongUniversity of Hong KongDalhousie University
KeywordsRemote laboratoryComputer scienceThe InternetMultimediaAnimationVirtual LaboratorySoftwareRemote controlSet (abstract data type)Class (philosophy)Computer animationHuman–computer interactionWorld Wide WebComputer graphics (images)Artificial intelligence

Abstract

fetched live from OpenAlex

In this study, an online experiment was developed for sub-degree students at remote locations to control and obtain real-time measurements or experimental data. Online video is set up for better visual impact of what is going on in the remote site. The intention of this Web-based laboratory package is to make the experiment more interactive, attractive, and easily accessed. Background knowledge is included for better understanding of the theory behind the experiment and gives an overview of the operation of the remote controlled software used in this remote laboratory. Multimedia elements including sound, video, and animation are added for better explanation and easier understanding of software as well as basic theory for this remote laboratory. This remote equipment control and monitor was added as a supplement laboratory to a class of engineering students. Positive feedback from students was obtained through questionnaires and interviews. These results throw light on doing remote laboratory through the Internet and direction for improvement.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: Methods
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.265
Teacher spread0.256 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2004
Admission routes1
Has abstractyes

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