The impact of the learning shift during COVID-19 on students using natural language processing. (21st February 2023)

• Record Type: Journal Article
• Authors: Shaiba, Hadil; John, Maya
• Is Part Of: International journal of technology enhanced learning. Volume 15:Number 2(2023)
• Page Start: 195
• Page End: 214
• Publication Date: 2023-02-21
• Subjects: NLP -- sentiment analysis -- COVID-19 -- blended learning -- remote learning -- education -- word cloud -- Saudi Arabia; Educational technology -- Periodicals; Education -- Effect of technological innovations on -- Periodicals; Web-based instruction -- Periodicals; Computer-assisted instruction -- Periodicals; 371.3305
• Languages: English
• ISSNs: 1753-5255

Abstract

On 9th March 2020, Saudi Arabia has proclaimed the temporary transition to remote learning due to COVID-19. We underline students' perspectives on this abrupt transformation. We generate a word cloud based on the students' responses concerning the rapid transition. The feedback based on emotions was classified and a word cloud for each emotion was generated. For better decision making and improved strategies, we highlight the major problems and benefits of remote learning and provide some recommendations. Students have experienced a variety of hurdles, including the lack of an adequate study environment and technical difficulties, particularly when taking exams. Many were under psychological pressure. Others saw an increase in cheating. Some struggled to work with their peers on group projects, some sought tutoring, and others faced financial difficulties. Online practical sessions were found to be unsuitable for some disciplines. The flexibility of learning and saving money and time were the main advantages of remote learning.