Abstract
The education system is one of the main government sectors that has been affected by COVID-19 pandemic. Most governments around the world have temporarily closed educational institutions and distance learning imposed a massive impact on students’ learning processes. In an online teaching and learning environment, handling students’ misunderstandings is a challenging and time-consuming task. Many of the proposed solutions for handling students’ misunderstandings are highly demanding on teachers, and suffer from lack of descriptively. In this paper, we propose a novel adaptive divide and correct technique to assist teachers in providing formative feedback to students. Additionally, we lower teachers’ cognitive load in comprehending misunderstandings by measuring their semantical commonality. Our experiment results showed that our approach could significantly augment teachers in providing formative feedback to a large number of students.
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Notes
- 1.
In this paper, we use the terms teachers and instructors interchangeably and both refer to a person who helps students to acquire knowledge.
- 2.
In a one-to-one feedback model instructors provided feedback case by case to students.
- 3.
- 4.
We consider misunderstandings over 75 % cosine measure as similar.
- 5.
All experiments are carried out on cloud platform (Amazon Web Service (AWS)).
- 6.
By writing feedback for every misunderstanding or choosing among the previously given feedback.
- 7.
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We acknowledge the AI-enabled Processes (AIP (https://aip-research-center.github.io/)) Research Centre and ITIC Pty Ltd (https://www.iticlive.com/) for funding this research.
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Tabebordbar, A., Beheshti, A., Rezvani, N., Asadnia, M., Elbourn, S. (2022). Resolving Learners Misunderstandings Using an Adaptive Divide and Correct Technique. In: Delir Haghighi, P., Khalil, I., Kotsis, G. (eds) Advances in Mobile Computing and Multimedia Intelligence. MoMM 2022. Lecture Notes in Computer Science, vol 13634. Springer, Cham. https://doi.org/10.1007/978-3-031-20436-4_15
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