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Record W2125653102 · doi:10.24908/pceea.v0i0.3778

A VISUAL TOOL TO ENHANCE COMPREHENSION AND DESIGN IN MICRO-PROCESSING SYSTEMS

2011· article· en· W2125653102 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

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2011
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceAnimationComprehensionVisualizationMacroSoftwareHuman–computer interactionComputer graphics (images)Artificial intelligenceProgramming language

Abstract

fetched live from OpenAlex

This paper reports on the design and development of custom animation software to enhance comprehension and design of micro-processing systems. The purpose of the custom software is to be used as a tool for teaching second/third year undergraduate computer/electrical engineering students the basic concepts surrounding microinstruction based microprocessors and systems. The tool enhances comprehension through a visual depiction of the structure and operation of a basic micro-instruction based microprocessor with memory. The control vector and control memory are visualized along with graphical methods of visually displaying the internal control of every device within the micro-processor and attached memory. The tool animates the sequence of micro-instructions of a given instruction by showing address and data transmission and paths juxtaposed against an animated clock. Effective use of the “water flowing through pipes” analogy enhances comprehension and visualization. In addition the tool facilitates the design of micro-instruction based microprocessors by allowing students to create and/or modify microinstructions and create and/or modify macro-instructions. The tool speeds student learning and allows for more complex topics to be taught in the same semester.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score0.775

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 head0.008
GPT teacher head0.220
Teacher spread0.211 · 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