Generating abstract and real-world coding exercises with adjustable difficulty

College

College of Computer Studies

Department/Unit

Software Technology

Document Type

Conference Proceeding

Source Title

Proceedings of the 26th International Conference on Computers in Education. Philippines: Asia-Pacific Society for Computers in Education

Publication Date

2018

Abstract

We developed an approach for automatically generating abstract and real-world coding exercises with adjustable difficulty. Using our approach, we can produce exercises based on abstract computational operations for learning the syntax of a programming language, and exercises based on real-life contexts for learning abstraction and logic formulation. We present an initial evaluation of the exercises by students and teachers of programming. This work can pave the way for the development of intelligent programming tutors with adaptive and personalized feedback that can display content based on the state of the student.

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Disciplines

Computer Engineering | Software Engineering

Keywords

Natural language generation (Computer science)

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