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WEAS: a web-based educational assessment system

Published: 23 March 2007 Publication History

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.

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  • (2016)Integration of machine learning approach in item bank test system2016 3rd International Conference on Computer and Information Sciences (ICCOINS)10.1109/ICCOINS.2016.7783208(164-168)Online publication date: Aug-2016
  • (2015)The Acceptance and Use of Computer Based Assessment in Higher EducationJournal of Software Engineering and Applications10.4236/jsea.2015.81005308:10(557-574)Online publication date: 2015
  • (2014)A review in feature extraction approach in question classification using Support Vector Machine2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014)10.1109/ICCSCE.2014.7072776(536-541)Online publication date: Nov-2014
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    cover image ACM Conferences
    ACMSE '07: Proceedings of the 45th annual ACM Southeast Conference
    March 2007
    574 pages
    ISBN:9781595936295
    DOI:10.1145/1233341
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 23 March 2007

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    Author Tags

    1. Bloom's taxonomy
    2. educational assessment
    3. web-based system

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    ACM SE07
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    ACM SE07: ACM Southeast Regional Conference
    March 23 - 24, 2007
    North Carolina, Winston-Salem

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    ACMSE '07 Paper Acceptance Rate 81 of 137 submissions, 59%;
    Overall Acceptance Rate 502 of 1,023 submissions, 49%

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    View all
    • (2016)Integration of machine learning approach in item bank test system2016 3rd International Conference on Computer and Information Sciences (ICCOINS)10.1109/ICCOINS.2016.7783208(164-168)Online publication date: Aug-2016
    • (2015)The Acceptance and Use of Computer Based Assessment in Higher EducationJournal of Software Engineering and Applications10.4236/jsea.2015.81005308:10(557-574)Online publication date: 2015
    • (2014)A review in feature extraction approach in question classification using Support Vector Machine2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014)10.1109/ICCSCE.2014.7072776(536-541)Online publication date: Nov-2014
    • (2008)A New Tool for Web-Based Educational SystemProceedings of the 2008 Fourth International Conference on Natural Computation - Volume 0710.1109/ICNC.2008.892(112-116)Online publication date: 18-Oct-2008

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