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WEAS: a web-based educational assessment system
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Source ACM Southeast Regional Conference archive
Proceedings of the 45th annual southeast regional conference table of contents
Winston-Salem, North Carolina
SESSION: Papers table of contents
Pages: 126 - 131  
Year of Publication: 2007
ISBN:978-1-59593-629-5
Authors
Lei He  Armstrong Atlantic State University, Savannah, GA
Patricia Brandt  Armstrong Atlantic State University, Savannah, GA
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

In past decades, paper-based assessment systems have been used to evaluate student learning outcomes through graded assignments and tests. However, without a systematic and accurate categorization of test knowledge levels, these commonly used systems are limited in scope. A simple test grade does not reveal an understanding of learning outcomes or allow us to determine if students are attaining our course goals. In addition, paper-based systems are complex and do not provide immediate feedback for personalized assessment or improvement of teaching practices. In this paper, we present a novel Web-based Educational System (WEAS) that will solve these problems by applying Bloom's taxonomy theory to an evaluation of student learning outcomes and teacher instructional practices with immediate feedback. Applying the system to science courses at a local high school has produced encouraging results.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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