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Record W2156095999 · doi:10.1109/13.925843

Development of an interactive CDROM-based tutorial for teaching MATLAB

2001· article· en· W2156095999 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

VenueIEEE Transactions on Education · 2001
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMATLABComputer scienceWindow (computing)SyntaxInterface (matter)MultimediaHuman–computer interactionSimulationEngineering drawingProgramming languageArtificial intelligenceWorld Wide WebEngineeringOperating system

Abstract

fetched live from OpenAlex

This paper describes the development of an interactive computer-based tutorial for MATLAB. This tutorial has been developed for undergraduate or graduate students who have had little or no exposure to MATLAB. Students are guided through new concepts and syntax with useful aids such as audio, video and interactive exercises. The exercises, implemented in a specially designed exercise window, give the students an opportunity to use MATLAB to solve problems immediately after covering new concepts. The exercise window has a background interface to MATLAB and thus all commands entered in the window are executed by MATLAB. Hints, example solutions, multiple choice quizzes and test problems, requiring the use of proper MATLAB structure and syntax, add to the learning experience. This project was initially undertaken to investigate student response to alternate computer-based teaching methods. Thus student input has played an important part in the development of this tutorial. Subjective feedback from students, which is presented in the paper, indicate great promise for this alternate approach to teaching MATLAB.

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: none
Teacher disagreement score0.614
Threshold uncertainty score0.536

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 head0.009
GPT teacher head0.275
Teacher spread0.266 · 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