Year: 2025
Type: article
Abstract: This study investigates the evolution of public sentiment toward online learning during the COVID-19 pandemic, utilizing Twitter data collected between April 2020 and December 2021. By using MDCOR for topic identification and SENA for sentiment analysis, the study examined changes in affective responses across major online learning platforms including Zoom, Udemy, Canvas and Coursera. It was observed that positive emotions were most prominent in the early stages of the pandemic, as online learning became crucial due to social distancing. However, while platforms relying on synchronous interactions, such as Zoom, were associated with negative emotions like frustration and fatigue, more flexible, skill-based platforms like Coursera and Udemy consistently received favorable feedback. The findings reveal the varied emotional responses to different online learning features, providing insights into the factors shaping user experience. These insights can inform the future development of online learning platforms and strategies aimed at improving educational effectiveness.
Authors: Yang Yang, Shiyu Zhang, Wenting Lin, Ting Wen
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4411109638