Proceedings of International Conference on Governance, Management & Social Innovation (ICGMSI 2023)

Exploring Motivational Factors in Data Collection Process: A Comparative Study of Two University Programmes

Authors
Sarah Yusoff1, *, Siti Nurul Hayatie Ishak1
1Universiti Teknologi MARA Terengganu, Kampus Kuala Terengganu, 21080, Kuala Terengganu, Terengganu, Malaysia
*Corresponding author. Email: sarahyusoff@uitm.edu.my
Corresponding Author
Sarah Yusoff
Available Online 22 May 2024.
DOI
10.2991/978-94-6463-425-9_6How to use a DOI?
Keywords
Numeracy Skills; Learning Motivations; Online Data Hunting; Statistical Course; Digital Skills
Abstract

In bachelor’s program, students develop communication and practical skills through group project assessment. The introduction to the statistical course reveals a preference among students for descriptive analysis over regression analysis, indicating less popularity for the latter as a statistical exploration choice. Descriptive analysis utilizes survey data, while regression analysis requires at least two quantitative variables, which are challenging to obtain via survey. Consequently, a compelling approach for gathering quantitative data has been introduced which has gained popularity among students and is now used in other courses. After its adoption, nine out of ten groups chose to explore regression analysis. Thus, this study aims to analyse motivation levels for data collection using this approach and compare them across programme and gender. Two bachelor’s programmes that took a statistical course and conducted a group project assessment were studied. The findings indicate no significant difference in acceptance between the two programmes, and the motivation for collecting the data was high. Our analysis leads us to the conclusion that it is crucial to scrutinize and contemplate students’ behaviour during the data collection process, as we believe that an increase in students’ motivation to learn with authentic data will expose students to the complexities of real data and encourage them to utilize regression analysis for more in-depth insights. Other lecturers at various universities can use the results of this research to enhance the attractiveness of the data collection process in their statistical courses and design effective team-based learning interventions for undergraduate statistics learners.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of International Conference on Governance, Management & Social Innovation (ICGMSI 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
22 May 2024
ISBN
10.2991/978-94-6463-425-9_6
ISSN
2352-5428
DOI
10.2991/978-94-6463-425-9_6How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Sarah Yusoff
AU  - Siti Nurul Hayatie Ishak
PY  - 2024
DA  - 2024/05/22
TI  - Exploring Motivational Factors in Data Collection Process: A Comparative Study of Two University Programmes
BT  - Proceedings of International Conference on Governance, Management & Social Innovation (ICGMSI 2023)
PB  - Atlantis Press
SP  - 54
EP  - 70
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-425-9_6
DO  - 10.2991/978-94-6463-425-9_6
ID  - Yusoff2024
ER  -