Categorising student responses for feedback based on multiple choice and text responses

Samuel Cunningham-Nelson, Andrea Goncher, Wageeh Boles

Research output: Book chapter/Published conference paperConference paper

Abstract

Being able to provide fast and useful feedback to students is an essential part of the learning process. Multiple-choice questionnaires are tool often used, due to the ease of marking, and therefore rapid feedback to students. Since these however lack detail and confidence when checking understanding, an added textual component can help to verify students' understanding. In this paper we discuss a methodology for evaluating and categorizing students multiple-choice and text justification. This is applied to three examples of students comments and shows the usefulness of the added textual field.

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
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1179-1182
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 - Novotel Northbeach Wollongong, Wollongong, Australia
Duration: 04 Dec 201807 Dec 2018
https://www.tale2018.org/ (conference website)
https://1775b349-31b3-42ae-85cf-8678bf2f3e88.filesusr.com/ugd/fc5d2b_662d818506f94c73958122d27caf8104.pdf (program)

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
Abbreviated titleEngineering next-generation learning
CountryAustralia
CityWollongong
Period04/12/1807/12/18
Internet address

Fingerprint

Students
Feedback
student
learning process
confidence
questionnaire
lack
methodology

Cite this

Cunningham-Nelson, S., Goncher, A., & Boles, W. (2019). Categorising student responses for feedback based on multiple choice and text responses. 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. 1179-1182). [8615325] (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/TALE.2018.8615325
Cunningham-Nelson, Samuel ; Goncher, Andrea ; Boles, Wageeh. / Categorising student responses for feedback based on multiple choice and text responses. Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. editor / Mark J.W. Lee ; Sasha Nikolic ; Gary K.W. Wong ; Jun Shen ; Montserrat Ros ; Leon C. U. Lei ; Neelakantam Venkatarayalu. IEEE, Institute of Electrical and Electronics Engineers, 2019. pp. 1179-1182 (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018).
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abstract = "Being able to provide fast and useful feedback to students is an essential part of the learning process. Multiple-choice questionnaires are tool often used, due to the ease of marking, and therefore rapid feedback to students. Since these however lack detail and confidence when checking understanding, an added textual component can help to verify students' understanding. In this paper we discuss a methodology for evaluating and categorizing students multiple-choice and text justification. This is applied to three examples of students comments and shows the usefulness of the added textual field.",
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Cunningham-Nelson, S, Goncher, A & Boles, W 2019, Categorising student responses for feedback based on multiple choice and text responses. in MJW Lee, S Nikolic, GKW Wong, J Shen, M Ros, LCU Lei & N Venkatarayalu (eds), Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018., 8615325, Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018, IEEE, Institute of Electrical and Electronics Engineers, pp. 1179-1182, 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018, Wollongong, Australia, 04/12/18. https://doi.org/10.1109/TALE.2018.8615325

Categorising student responses for feedback based on multiple choice and text responses. / Cunningham-Nelson, Samuel; Goncher, Andrea; Boles, Wageeh.

Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. ed. / Mark J.W. Lee; Sasha Nikolic; Gary K.W. Wong; Jun Shen; Montserrat Ros; Leon C. U. Lei; Neelakantam Venkatarayalu. IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 1179-1182 8615325 (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018).

Research output: Book chapter/Published conference paperConference paper

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Cunningham-Nelson S, Goncher A, Boles W. Categorising student responses for feedback based on multiple choice and text responses. In Lee MJW, Nikolic S, Wong GKW, Shen J, Ros M, Lei LCU, Venkatarayalu N, editors, Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. IEEE, Institute of Electrical and Electronics Engineers. 2019. p. 1179-1182. 8615325. (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018). https://doi.org/10.1109/TALE.2018.8615325