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Record W2108747648 · doi:10.1109/mse.1999.787027

A multimedia virtual lab for digital logic design

2003· article· en· W2108747648 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsVHDLComputer scienceMultimediaField-programmable gate arraySet (abstract data type)SoftwareLogic synthesisProgrammable logic deviceResource (disambiguation)Embedded systemSoftware engineeringComputer architectureLogic gateOperating systemProgramming language

Abstract

fetched live from OpenAlex

In teaching undergraduate courses in digital logic design, it has been traditional to have hardware laboratories using logic boards or programmable FPGA boards. In these settings, students physically wire sample designs from a problem set, and present the finished product for verification to a lab instructor, together with testing the chips themselves and acquiring the experience of hands-on hardware. Many digital logic design courses have switched to using only software simulators or VHDL-based exercises, often due to lack of resource allocations. We have designed and implemented a multimedia-based virtual lab, which allows the students to practice on their design, explore in a tutorial fashion various options, and gives them as close as possible a real hands-on experience, through the use of a "virtual board" and links to background tutorial material which can be customized.

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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.840
Threshold uncertainty score0.499

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 head0.016
GPT teacher head0.220
Teacher spread0.204 · 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

Quick stats

Citations8
Published2003
Admission routes1
Has abstractyes

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