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A tool for facilitating the automated assessment of engineering/science courses.

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Title: A tool for facilitating the automated assessment of engineering/science courses.
Authors: Beg, Azam1 (AUTHOR) abeg@uaeu.ac.ae, Alhemeiri, Mouza1 (AUTHOR), Beg, Ajmal2 (AUTHOR)
Source: International Journal of Electrical Engineering Education. Jul2023, Vol. 60 Issue 3, p313-325. 13p.
Subject Terms: *Massive open online courses, *Computer science, *Learning management system, Computer architecture, Logic design
Abstract: In recent years, massive open online courses (MOOCs) have become quite popular. Such courses are either completely free or cost nominally. Generally, the MOOCs face the challenge of not being recognized as 'regular' courses (i.e., the ones taken at the traditional learning institutions). One of the main reasons for this lack of acceptability is the assessment in an unsupervised environment, which is prone to the problems of test-taker's online lookups or interaction with others for finding the answers to the test questions. A few ways of alleviating this problem include: limiting the time for answering the questions, the avoidance of repetitive questions, and the creation of a large number of questions. This paper presents a tool named QAgen that enables the automatic creation of a large number of questions and answers related to different topics in computer/electrical engineering (ECE), computer science, physics, etc. Specifically, the tool is related to the courses on digital logic design, computer architecture, etc. The generated questions are in a format that is suitable both for learning management system (LMS) based and/or non-LMS-based assessment in conventional courses or MOOCs. The proposed tool is based on open-source software, thus eliminating the need for any commercial software packages. The underlying principles of QAgen are applicable to other engineering/science courses as well, if the assessment methods require the creation of some connected-object diagrams, tables and equations. For assessing the usefulness of QAgen, practice question sets were created for three different courses. The student surveys for these courses indicated that the questions helped students prepare for actual tests/examinations. Especially favored by the students was the availability of correct answers at the end of each practice test/examination. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Electrical Engineering Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: A tool for facilitating the automated assessment of engineering/science courses.
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  Data: <searchLink fieldCode="AR" term="%22Beg%2C+Azam%22">Beg, Azam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> abeg@uaeu.ac.ae</i><br /><searchLink fieldCode="AR" term="%22Alhemeiri%2C+Mouza%22">Alhemeiri, Mouza</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Beg%2C+Ajmal%22">Beg, Ajmal</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+Engineering+Education%22">International Journal of Electrical Engineering Education</searchLink>. Jul2023, Vol. 60 Issue 3, p313-325. 13p.
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  Data: *<searchLink fieldCode="DE" term="%22Massive+open+online+courses%22">Massive open online courses</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink><br />*<searchLink fieldCode="DE" term="%22Learning+management+system%22">Learning management system</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+architecture%22">Computer architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Logic+design%22">Logic design</searchLink>
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  Data: In recent years, massive open online courses (MOOCs) have become quite popular. Such courses are either completely free or cost nominally. Generally, the MOOCs face the challenge of not being recognized as 'regular' courses (i.e., the ones taken at the traditional learning institutions). One of the main reasons for this lack of acceptability is the assessment in an unsupervised environment, which is prone to the problems of test-taker's online lookups or interaction with others for finding the answers to the test questions. A few ways of alleviating this problem include: limiting the time for answering the questions, the avoidance of repetitive questions, and the creation of a large number of questions. This paper presents a tool named QAgen that enables the automatic creation of a large number of questions and answers related to different topics in computer/electrical engineering (ECE), computer science, physics, etc. Specifically, the tool is related to the courses on digital logic design, computer architecture, etc. The generated questions are in a format that is suitable both for learning management system (LMS) based and/or non-LMS-based assessment in conventional courses or MOOCs. The proposed tool is based on open-source software, thus eliminating the need for any commercial software packages. The underlying principles of QAgen are applicable to other engineering/science courses as well, if the assessment methods require the creation of some connected-object diagrams, tables and equations. For assessing the usefulness of QAgen, practice question sets were created for three different courses. The student surveys for these courses indicated that the questions helped students prepare for actual tests/examinations. Especially favored by the students was the availability of correct answers at the end of each practice test/examination. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Electrical Engineering Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jul2023
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