Results and Trends in E-Learning of Students, Conducted During a Lockdown

Getova, Iglika; Anastasova, Yordanka; Yanev, Nikolay; Trifonova, Mariana

doi:10.21125/iceri.2021.1130

Cited by 2 publications

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“…The next research point is to investigate the learning environment and the use of different approaches to providing effective learning to students. For example, the introduction of educational games (gaming) and related virtual reality significantly improves the perception of educational material and the results obtained in all studied disciplines in the field of engineering and IT sciences (Getova, 2021). For that reason, several software instruments are created for analyzing and evaluating both the learning and playing outcomes of the player with different knowledge, learning goals, preferences, and learning styles (Dankov, 2021).…”

Section: Related Workmentioning

confidence: 99%

Co-Creating Ict Solutions to Aid Migrant Integration: Lessons Learned From the H2020 Miict Project

2022

Proceedings of the International Conferences on Applied Computing 2022 and WWW/Internet 2022

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Using data from different learning systems and tools to analyze and predict student achievements and behaviors is a method to increase learning effectiveness. In this paper, the peer learning system is presented and used to simulate analysis and prediction processes in a learning environment. The aggregation and sorting methods enforce the analysis process. The Decision Tree classification method is applied and evaluated to predict the result.

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Section: Related Workmentioning

confidence: 99%