NDLI: Automated evaluation methods with attention to individual differences-a study of a computer-based course in C

Content Provider	IEEE Xplore Digital Library
Author	Rosenthal, T. Suppes, P. Ben-Zvi, N.
Copyright Year	2002
Description	Author affiliation: Educ. Program for Gifted Youth, Stanford Univ., CA, USA (Rosenthal, T.)
Abstract	This study focuses on students' performance in a distance-learning computer-based C course offered by EPGY (Education Program for Gifted Youth) at Stanford University. Its main goal is testing the feasibility of automated evaluation. Three automated methods consisting of a criterion set and weighted scoring methods were developed empirically, then applied to four hundred programs of ten types of problems and thoroughly analyzed. For most of the assignments, the more significant criteria for evaluation were related to execution time features, (i.e. number of operations and calls to functions executed by the program), memory storage required to store the variables of the program, and code's length. The results showed that the criterion measures often differed by several orders of magnitude between students' programs and were dependent on the specific problem domain. A low correlation was found between the evaluation criteria indicating that the criteria are nearly independent. Consequently, in qualitative tests for achievement and ability students' performances exhibited high dimensionality.
Sponsorship	IEEE Educ. Soc. IEEE Comput. Soc. American Soc. Eng. Educ. (Educ. Res. & Methods Div.)
File Size	453555
File Format	PDF
ISBN	0780374444
ISSN	01905848
DOI	10.1109/FIE.2002.1157893
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-11-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Educational programs Computer science education Programming profession Feedback Automatic testing Performance evaluation Physics education Mathematics Computer science Computer languages
Content Type	Text
Resource Type	Article
Subject	Education Computer Science Applications Software

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