Towards a Classification for Programming Exercises

@inproceedings{Le2014TowardsAC,
  title={Towards a Classification for Programming Exercises},
  author={Nguyen-Thinh Le and Niels Pinkwart},
  year={2014}
}
When researchers of the AIEDCS (AI-supported Education for Computer Science) community want to exchange programming exercises as baselines for e.g., evaluation purposes, several questions related to the difficulty of exercises will arise: What kind of programming exercises are supported by an intelligent learning environment? How difficult are the programming exercises? In this paper, we investigate programming exercises supported by fifteen existing intelligent learning environments for the… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 21 references

Individualized exercises for self-assessment of programming knowledge: An evaluation of QuizPACK

ACM Journal of Educational Resources in Computing • 2005
View 5 Excerpts
Highly Influenced

Guided programming and automated error analysis in an intelligent Prolog tutor

Int. J. Hum.-Comput. Stud. • 2004
View 4 Excerpts
Highly Influenced

jTutors: A Web-Based Tutoring System For Java APIs

A. Dahotre
2011
View 2 Excerpts

An Australasian study of reading and comprehension skills in novice programmers, using the bloom and SOLO taxonomies

J. L. Whalley, R. Lister, +5 authors C. Prasad
In Proceedings of the 8th Australasian Conference on Computing Edu., vol. 52, Australian Computer Society, Inc, 243-252 • 2006

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