DocumentCode
351381
Title
Pretesting and data modeling for forecasting student success in computer science courses
Author
Surkan, Alvin J.
Author_Institution
Dept. of Comput. Sci. & Eng., Nebraska Univ., Lincoln, NE, USA
Volume
1
fYear
1999
fDate
10-13 Nov. 1999
Abstract
An experimental study in the design and use of questionnaires aims to capture salient information for predicting student success for computer science courses. Developing uniform and easy-to-use methods for collecting and processing information on student ability and preparation is the main objective. Such methods must be robust with respect to missing data. It should be influenced minimally by differences of cultural backgrounds and language proficiency.
Keywords
computer science education; computer science courses; data modeling; information collection; information processing; missing data; pretesting; questionnaires design; questionnaires use; student ability; student success forecasting; Biological cells; Computer architecture; Computer networks; Computer science; Genetic algorithms; Optimization methods; Predictive models; Problem-solving; Robustness; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Education Conference, 1999. FIE '99. 29th Annual
Conference_Location
San Juan, Puerto Rico
ISSN
0190-5848
Print_ISBN
0-7803-5643-8
Type
conf
DOI
10.1109/FIE.1999.839170
Filename
839170
Link To Document