Implementation Guidelines for an Automated Grading Tool to Assess Short Answer Questions on Digital Circuit Design Course

Beena Ahmed, Mohan Kagita, Chamith Abewardana Wijenayake, Jayashri Ravishankar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Automated assessment tools are used to assess objective assessments such as multiple-choice questions and subjective tests such as essays. However, assessment tools for short answer questions are still not widespread despite their prevalence. Short answer question assessment is challenging because tools used to grade objective tests cannot cope with the natural language in the answers, while the limited text in the answers do not provide sufficient textual and lexical features for natural language assessment. In this work-in-progress paper, we present guidelines on how a short answer question assessment tool can be implemented for use in a digital circuit design course.

Original languageEnglish
Title of host publicationProceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
EditorsMark J.W. Lee, Sasha Nikolic, Gary K.W. Wong, Jun Shen, Montserrat Ros, Leon C. U. Lei, Neelakantam Venkatarayalu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1142-1145
Number of pages4
ISBN (Electronic)9781538665220
DOIs
Publication statusPublished - 16 Jan 2019
Event2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018 - Wollongong, Australia
Duration: 4 Dec 20187 Dec 2018

Publication series

NameProceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018

Conference

Conference2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
CountryAustralia
CityWollongong
Period4/12/187/12/18

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Keywords

  • automated assessment
  • digital logic design
  • short answer questions

ASJC Scopus subject areas

  • Education
  • Artificial Intelligence
  • Computer Networks and Communications
  • Engineering (miscellaneous)

Cite this

Ahmed, B., Kagita, M., Wijenayake, C. A., & Ravishankar, J. (2019). Implementation Guidelines for an Automated Grading Tool to Assess Short Answer Questions on Digital Circuit Design Course. In M. J. W. Lee, S. Nikolic, G. K. W. Wong, J. Shen, M. Ros, L. C. U. Lei, & N. Venkatarayalu (Eds.), Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018 (pp. 1142-1145). [8615228] (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TALE.2018.8615228