Abstract
The way people learn will play an essential role in the sustainable development of the educational system for the future. Utilizing technology in the age of information and incorporating it into how people learn can produce better learners. Implicit learning is a type of learning of the underlying rules without consciously seeking or understanding the rules; it is commonly seen in small children while learning how to speak their native language without learning grammar. This research aims to introduce a processing system that can systematically identify the relationship between implicit learning events and their Encephalogram (EEG) signal characteristics. This study converted the EEG signal from participants while performing cognitive task experiments into Multiscale Entropy (MSE) data. Using MSE data from different frequency bands and channels as features, the system explored a wide range of classifiers and observed their performance to see how they classified the features related to participants’ performance. The Artificial Bee Colony (ABC) method was used for feature selection to improve the process to make the system more efficient. The results showed that the system could correctly identify the differences between participants’ performance using MSE data and the ABC method with 95% confidence.
Highlights
IntroductionPublisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations
If the participant was able to perform significantly better at answering 4th question as opposed to occurred at at some opposed to the the other other question, question,ititmust mustmean meanthat thata alearning learningevent eventhad had occurred some point, either at this particular trial or some trial earlier
Given how classifier are inherently governed by probability, the experiment was repeated five times for the Artificial Bee Colony (ABC) feature selection process
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. There are many new and exciting technologies being invented every year. In the age of information, the growth of new technology has grown exponentially, and there is no sign of it slowing down. To be competitive in the fast-growing world, people have to adapt and improve the learning process. Smart Education is a type of learning environment where learning can occur in a more personalized lesson plan. Utilizing available cutting-edge technology, a person can start learning more efficiently by using advanced electronics such as e-learning, online learning, hybrid learning, and blended learning to record their progress and adjust lesson plans to be more suitable to the learner
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