Data-Driven Hint Generation in Vast Solution Spaces: a Self-Improving Python Programming Tutor

To provide personalized help to students who are working on code-writing problems, we introduce a data-driven tutoring system, ITAP (Intelligent Teaching Assistant for Programming). ITAP uses state abstraction, path construction, and state reification to automatically generate personalized hints for...

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Bibliographic Details
Published in:International journal of artificial intelligence in education 2017-03, Vol.27 (1), p.37-64
Main Authors: Rivers, Kelly, Koedinger, Kenneth R.
Format: Article
Language:English
Subjects:
Academic Achievement
Algorithms
Artificial Intelligence
Automation
Coding
Computer Science
Computers
Computers and Education
Customization
Data
Data collection
Decision Making
Design
Educational Games
Educational Technology
Feedback
Intelligent Tutoring Systems
Learning
Programmed Tutoring
Programming
Semantics
Solution space
Student Records
Students
Teachers
Teaching Methods
Tutoring
Tutors
User Interfaces and Human Computer Interaction
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