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July-September 2010 (vol. 3 no. 3)
pp. 237-249
Raheel Siddiqi, The University of Manchester, Manchester
Christopher J. Harrison, The University of Manchester, Manchester
Rosheena Siddiqi, Bahria University, Karachi
Automated short-answer marking cannot “guarantee” 100 percent agreement between the marks generated by a software system and marks produced separately by a human. This problem has prevented automated marking systems from being used in high-stake short-answer marking. This paper describes how an automated short-answer marking system, called IndusMarker, can be effectively used to improve teaching and learning in an Object-Oriented Programming course taught at a university. The system is designed for factual answers where there is a clear criterion for answers being right or wrong. The system is based on structure matching, i.e., matching a prespecified structure, developed via a purpose-built structure editor, with the content of the student's answer text.

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Index Terms:
Automatic assessment tools, self-assessment, classroom feedback systems, computer science education.
Citation:
Raheel Siddiqi, Christopher J. Harrison, Rosheena Siddiqi, "Improving Teaching and Learning through Automated Short-Answer Marking," IEEE Transactions on Learning Technologies, vol. 3, no. 3, pp. 237-249, July-Sept. 2010, doi:10.1109/TLT.2010.4
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