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 language | English |
|---|---|
| Title of host publication | Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018 |
| Editors | Mark J.W. Lee, Sasha Nikolic, Gary K.W. Wong, Jun Shen, Montserrat Ros, Leon C. U. Lei, Neelakantam Venkatarayalu |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 1179-1182 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781538665220 |
| DOIs | |
| Publication status | Published - 16 Jan 2019 |
| Event | 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018 - Novotel Northbeach Wollongong, Wollongong, Australia Duration: 04 Dec 2018 → 07 Dec 2018 https://www.tale2018.org/ (conference website) https://1775b349-31b3-42ae-85cf-8678bf2f3e88.filesusr.com/ugd/fc5d2b_662d818506f94c73958122d27caf8104.pdf (program) |
Publication series
| Name | Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018 |
|---|
Conference
| Conference | 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018 |
|---|---|
| Abbreviated title | Engineering next-generation learning |
| Country | Australia |
| City | Wollongong |
| Period | 04/12/18 → 07/12/18 |
| Internet address |
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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 paper › Conference paper
TY - GEN
T1 - Categorising student responses for feedback based on multiple choice and text responses
AU - Cunningham-Nelson, Samuel
AU - Goncher, Andrea
AU - Boles, Wageeh
PY - 2019/1/16
Y1 - 2019/1/16
N2 - 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.
AB - 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.
KW - Conceptual Understanding
KW - Machine Learning
KW - Text Analysis
UR - http://www.scopus.com/inward/record.url?scp=85062088731&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062088731&partnerID=8YFLogxK
U2 - 10.1109/TALE.2018.8615325
DO - 10.1109/TALE.2018.8615325
M3 - Conference paper
AN - SCOPUS:85062088731
T3 - Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
SP - 1179
EP - 1182
BT - Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018
A2 - Lee, Mark J.W.
A2 - Nikolic, Sasha
A2 - Wong, Gary K.W.
A2 - Shen, Jun
A2 - Ros, Montserrat
A2 - Lei, Leon C. U.
A2 - Venkatarayalu, Neelakantam
PB - IEEE, Institute of Electrical and Electronics Engineers
ER -