Development of EEG-based system to identify student learning attention ability

• Main Authors: Norizam, Sulaiman, Nuraini, Ismail, Md Nahidul, Islam, Rashid, Mamunur, Mohd Shawal, Jadin, Mahfuzah, Mustafa, Fahmi, Samsuri
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer Science and Business Media Deutschland GmbH 2022
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/39703/1/Development%20of%20EEG-Based%20System%20to%20Identify%20Student%20Learning%20Attention.pdf; http://umpir.ump.edu.my/id/eprint/39703/2/Development%20of%20EEG-based%20system%20to%20identify%20student%20learning%20attention%20ability_ABS.pdf; http://umpir.ump.edu.my/id/eprint/39703/; https://doi.org/10.1007/978-981-16-2406-3_48

It cannot be denied that teaching and learning are vital in education systems regardless of the level of education either in primary school, secondary school or higher institution. The main job of either teachers or lecturers is to make their students understand and pay full attention to each topic...