AN EXPLORATORY SEQUENTIAL SENTIMENT ANALYSIS OF ONLINE LEARNING DURING THE MOVEMENT CONTROL ORDER IN MALAYSIA

  • Noorihan Abdul Rahman Department of Computer Science, Universiti Teknologi MARA (UiTM) Kelantan, Malaysia
  • Zuriani Ahmad Zukarnain Department of Computer Science, Universiti Teknologi MARA (UiTM) Kelantan, Malaysia
  • Nor Asma Mohd Zain Department of Computer Science, Universiti Teknologi MARA (UiTM) Kelantan, Malaysia
  • Rozianiwati Yusof Department of Computer Science, Universiti Teknologi MARA (UiTM) Negeri Sembilan, Kampus Seremban, Malaysia

Abstract

Purpose – Online learning is an essential platform to support varying learning conditions, anytime and anywhere. It helps connect online communities regardless of one’s geographical location and time zone. During the COVID-19 outbreak in Malaysia, the use of online learning platforms has become a crucial option for accomplishing learning objectives. During this challenging time, universities have been looking for suitable solutions to address issues regarding the online learning process. This paper discusses the challenges in online learning, as well as the importance of collaborative learning activities during the Movement Control Order (MCO). Challenges in emotion and changes of routine among students have been detected during the MCO imposed by the government of Malaysia.
 
Methodology – An exploratory sequential approach was carried out in this study to obtain students’ feedback in terms of their emotions and routine changes during the outbreak of COVID-19 and the subsequent implementation of the MCO. Convenience sampling was used for this research, and in order to obtain feedback on online learning during the MCO an online interview was conducted with 42 students from the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA branch in the state of Kelantan. The feedback items were recorded and transcribed in Excel format. Next, sentiment analysis was carried out using Rapidminer software.
 
Findings – The results showed that higher education institutions or universities had to play their part in providing a virtual learning environment as convenient as possible during the Movement Control Order period. The results also showed that educators had to ensure the success of online learning by maintaining the motivation of their students
 
Significance – The findings in this study can also benefit educators and higher education institutions or universities in executing suitable teaching and learning plans during the COVID-19 outbreak.

Author Biographies

Zuriani Ahmad Zukarnain, Department of Computer Science, Universiti Teknologi MARA (UiTM) Kelantan, Malaysia

Zuriani Ahmad Zukarnain currently is a senior lecturer at Department of Computer Science, Universiti Teknologi MARA (UiTM), Kelantan, Malaysia. Her teaching experiences is almost 15 years on Fundamental of Computer Architecture, Operating System, Computer and Data Processing, Multimedia and Digital Logic. Graduated MSc (IT) and PhD in computer ethics. She has been involved in wide are of research particularly cybersecurity, cyberethics and ICT in society.

Nor Asma Mohd Zain, Department of Computer Science, Universiti Teknologi MARA (UiTM) Kelantan, Malaysia

Nor Asma Mohd Zin is a senior lecturer in the Computer Science Department at Universiti Teknologi MARA (UiTM), Kelantan, Malaysia. She received Master degree in Information Technology (Management) since 2010 and she joined as faculty staff at the same year. Her master study is about Decision Support System using Fuzzy AHP. Currently, her research interest is regarding data mining and text mining. She has published a number of papers in journals and conferences.

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Published
2021-07-31
How to Cite
ABDUL RAHMAN, Noorihan et al. AN EXPLORATORY SEQUENTIAL SENTIMENT ANALYSIS OF ONLINE LEARNING DURING THE MOVEMENT CONTROL ORDER IN MALAYSIA. Malaysian Journal of Learning and Instruction, [S.l.], v. 18, n. 2, p. 235-261, july 2021. ISSN 2180-2483. Available at: <http://e-journal.uum.edu.my/index.php/mjli/article/view/mjli2021.18.2.9>. Date accessed: 07 dec. 2021. doi: https://doi.org/10.32890/mjli2021.18.2.9.