Using a pre-assessment exam to construct an effective concept-based genetic program for predicting course success

Author:

Boetticher Gary D.1,Ding Wei1,Moen Charles1,Yue Kwok-Bun1

Affiliation:

1. UHCL, Houston, TX

Publisher

Association for Computing Machinery (ACM)

Reference17 articles.

1. Predicting performance in an introductory computer science course

2. CC2001 Joint Task Force. (2001 Dec.). Computing Curricula 2001: Computer Science. ACM/IEEE-CS. {Online}. CC2001 Joint Task Force. (2001 Dec.). Computing Curricula 2001: Computer Science. ACM/IEEE-CS. {Online}.

3. Cripps Al "Using artificial neural nets to predict academic performance " Proceedings of the 1996 ACM Symposium on Applied Computing February 1996 Pp. 33--37. 10.1145/331119.331137 Cripps Al "Using artificial neural nets to predict academic performance " Proceedings of the 1996 ACM Symposium on Applied Computing February 1996 Pp. 33--37. 10.1145/331119.331137

4. Goldberg David Genetic Algorithms in Search Optimization and Machine Learning. Addison-Wesley USA 1987. Goldberg David Genetic Algorithms in Search Optimization and Machine Learning. Addison-Wesley USA 1987.

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