EEG signals of University Level Students Learning using Video and Text

University level education is in constant evolution, making use of technological advancements in order to provide high quality pedagogical instruction to students. An important aspect of modern education is the contribution of Information Technologies,as different technological resources can be implemented to provide education under a variety of teaching modalities. New learning modalities using modern technologies, such as dynamic lectures using live feedback from the students through wireless devices and social-media educational platforms for student-teacher interaction, have shown increased acceptance rates in students when compared to more traditional teaching modalities. Due to the fast technological progress applied to education, teachersand students alike need to adapt quickly and adopt these new teaching modalities at a fast pace. Due to this reason, electroencephalographic (EEG) signals were recorded in university level students, while learning under two different modalities (video and text).This database contains EEG signals of participants in both groups, as well as the scores and exam times of three repetitions of learning tasks with increasing difficulty. This database could be used to relate cognitive performance of students, while learning underdifferent modalities. Intelligent models could be obtained to predict the cognitive performance of students by analysing their brain activity, which could be useful for students and educators to evaluate the efficiency of different learning/teaching methods.