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Record W1505966460 · doi:10.1109/icalt.2003.1215208

An intelligent tutoring system prototype for learning to program Java/spl trade/

2004· article· en· W1505966460 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
FieldComputer Science
TopicIntelligent Tutoring Systems and Adaptive Learning
Canadian institutionsSheridan College
Fundersnot available
KeywordsJavaComputer scienceTUTORIntelligent tutoring systemJava Programming LanguageContext (archaeology)Interface (matter)Real time JavaDomain (mathematical analysis)Software engineeringProgramming languageHuman–computer interactionOperating system

Abstract

fetched live from OpenAlex

The "Java/spl trade/ Intelligent Tutoring System" (JITS) research project involves the development of a programming tutor designed for students in their first programming course in Java/spl trade/ at the college and university level. We present an overview of the architectural design, the AI techniques used, and the user interface. This project is a prototype being constructed which will model the domain of a small subset of the Java/spl trade/ programming language in a very specific context. Research is in progress and it is hypothesized that the completed prototype will be sufficient to prove the concept and that a fully developed Java/spl trade/ intelligent tutoring system will provide an interactively-rich learning environment for students resulting in increased achievement. Based on the success of similar intelligent tutoring systems, it is also hypothesized that these students will be able to learn programming skills and knowledge more quickly and effectively than students in traditional educational settings.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.856
Threshold uncertainty score0.922

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.028
GPT teacher head0.300
Teacher spread0.272 · 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