Supporting students’ visualization of multivariable calculus partial derivatives via virtual reality

Multivariable calculus is a subject undertaken by engineering students as a core module at the freshman level. One of the intended learning outcomes (ILOs) in multivariable calculus is to gain an intuition for visualizing three-dimensional surfaces and deducing their properties. For students to visu...

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Main Authors: Cheong, Kang Hao, Chen, Jacob Shihang, Kang, Keegan, Yeo, Darren J.
Other Authors: School of Social Sciences
Format: Journal Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/169737
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author Cheong, Kang Hao
Chen, Jacob Shihang
Kang, Keegan
Yeo, Darren J.
author2 School of Social Sciences
author_facet School of Social Sciences
Cheong, Kang Hao
Chen, Jacob Shihang
Kang, Keegan
Yeo, Darren J.
author_sort Cheong, Kang Hao
collection NTU
description Multivariable calculus is a subject undertaken by engineering students as a core module at the freshman level. One of the intended learning outcomes (ILOs) in multivariable calculus is to gain an intuition for visualizing three-dimensional surfaces and deducing their properties. For students to visualize more complex multivariable calculus concepts, a virtual reality (VR) application has been created. Tapping on existing infrastructures, we investigate the effectiveness of visualization through VR usage vis-à-vis a two-dimensional digital screen. We have conducted a controlled trial on a group of (Formula presented.) students across two groups. The first group (control group) comprises students who participated in an online quiz (as a baseline test). The second group (treatment group) is given two sets of tests, the first is the same baseline test that the control group participated in, before administering the test questions on the VR platform (termed the treatment test) to the same group of students. Our analysis reveals that students, in general, perform better on questions pertaining to the identification of the sign of partial derivatives in the treatment test, but for other intended learning outcomes linked to other questions, students have performance similar to the baseline test. Furthermore, low-progress students in the treatment group exhibited improvement after the treatment. Our work here has the potential to be developed into a future-ready smart classroom through VR usage.
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spelling ntu-10356/1697372023-08-06T15:30:26Z Supporting students’ visualization of multivariable calculus partial derivatives via virtual reality Cheong, Kang Hao Chen, Jacob Shihang Kang, Keegan Yeo, Darren J. School of Social Sciences Social sciences::Psychology Virtual Reality Education Development Multivariable calculus is a subject undertaken by engineering students as a core module at the freshman level. One of the intended learning outcomes (ILOs) in multivariable calculus is to gain an intuition for visualizing three-dimensional surfaces and deducing their properties. For students to visualize more complex multivariable calculus concepts, a virtual reality (VR) application has been created. Tapping on existing infrastructures, we investigate the effectiveness of visualization through VR usage vis-à-vis a two-dimensional digital screen. We have conducted a controlled trial on a group of (Formula presented.) students across two groups. The first group (control group) comprises students who participated in an online quiz (as a baseline test). The second group (treatment group) is given two sets of tests, the first is the same baseline test that the control group participated in, before administering the test questions on the VR platform (termed the treatment test) to the same group of students. Our analysis reveals that students, in general, perform better on questions pertaining to the identification of the sign of partial derivatives in the treatment test, but for other intended learning outcomes linked to other questions, students have performance similar to the baseline test. Furthermore, low-progress students in the treatment group exhibited improvement after the treatment. Our work here has the potential to be developed into a future-ready smart classroom through VR usage. Ministry of Education (MOE) Published version Kang Hao Cheong was supported by the Singapore Ministry of Education (MOE) Tertiary Education Research Fund (Grant No. MOE2019-TRF-048). 2023-08-01T07:09:07Z 2023-08-01T07:09:07Z 2023 Journal Article Cheong, K. H., Chen, J. S., Kang, K. & Yeo, D. J. (2023). Supporting students’ visualization of multivariable calculus partial derivatives via virtual reality. Mathematics, 11(4), 831-. https://dx.doi.org/10.3390/math11040831 2227-7390 https://hdl.handle.net/10356/169737 10.3390/math11040831 2-s2.0-85149048598 4 11 831 en MOE2019-TRF-048 Mathematics © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). application/pdf
spellingShingle Social sciences::Psychology
Virtual Reality
Education Development
Cheong, Kang Hao
Chen, Jacob Shihang
Kang, Keegan
Yeo, Darren J.
Supporting students’ visualization of multivariable calculus partial derivatives via virtual reality
title Supporting students’ visualization of multivariable calculus partial derivatives via virtual reality
title_full Supporting students’ visualization of multivariable calculus partial derivatives via virtual reality
title_fullStr Supporting students’ visualization of multivariable calculus partial derivatives via virtual reality
title_full_unstemmed Supporting students’ visualization of multivariable calculus partial derivatives via virtual reality
title_short Supporting students’ visualization of multivariable calculus partial derivatives via virtual reality
title_sort supporting students visualization of multivariable calculus partial derivatives via virtual reality
topic Social sciences::Psychology
Virtual Reality
Education Development
url https://hdl.handle.net/10356/169737
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AT kangkeegan supportingstudentsvisualizationofmultivariablecalculuspartialderivativesviavirtualreality
AT yeodarrenj supportingstudentsvisualizationofmultivariablecalculuspartialderivativesviavirtualreality