Data science analysis: online classes affected students and teachers differently worldwide

Tuesday, May 17, 2022

As schools moved to a mode of emergency response teaching — ERT — at the beginning of the COVID-19 pandemic, the effect that remote learning had on students and teachers depended on whether they were in developed or developing countries, a new study shows.

Research led by Cheriton School of Computer Science PhD student Enamul Haque used data science to analyze the impact the shift to ERT in early 2020 had on both learning outcomes for students and teaching objectives for instructors. The team collected data from developing countries, including Bangladesh, Malaysia and China, and developed countries, including the U.S., Canada, Germany and Spain.

photo of Enamul Haque

Enamul Haque is a PhD student in the Data Systems Group at the Cheriton School of Computer Science, advised by Professors Grant Weddell and David Toman.

Enamul’s research area falls broadly under artificial intelligence, specifically at the cross-section of knowledge representation and databases. 

The research team generated the data for their study through a combination of surveys and interviews with students and teachers. They then used data science methods and statistical analysis to sort through the massive amounts of information and draw conclusions.

“There were distinct differences in developed and developing countries,” said Enamul, the lead author of the study. “Students and teachers in developing countries experienced difficulties linked with infrastructure issues, such as lack of internet connectivity in some rural areas. This was also an issue in some rural areas in developed countries, but not to the same extent.”

The researchers also found that students in developing countries faced related difficulties around financial constraints. Because there was no reliable broadband internet connectivity, some students had to attend classes on their smartphones and use large amounts of data, which could be expensive.

In the developed countries they studied, students faced more difficulties related to distractions or to not having a dedicated space for their online learning in their homes. For the teachers, they found that they consistently experienced a far higher workload when preparing and delivering classes remotely. In addition, for many teachers, it was their first time using a tech-only approach, which presented unique challenges, depending on their experience or whether they needed labs for hands-on teaching.

“One important take-away is that planning and preparation for moving to emergency response teaching are vital, and educational institutions that had plans in place did much better,” Enamul said. “The experience of ERT can show cracks and weaknesses in educational systems where improvements can be made to increase resiliency and better support students.”


This article was also published on Waterloo News.

To learn more about the research on which this article is based, please see Enamul Haque, Tanvir Mahmud, Shahana Shultana, Iqbal H. Sarker and Md Nour Hossain (2022). A Tale of Two Zones: Pandemic ERT Evaluation. In: Howlett, R.J., Jain, L.C., Littlewood, J.R., Balas, M.M. (eds) Smart and Sustainable Technology for Resilient Cities and Communities. Advances in Sustainability Science and Technology. Springer, Singapore.

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