EEG-based Cognitive Load assessment in Matlab GUI and impact on Learning System

Computational thinking (CT) based learning system is a significant tool for developing the cognitive ability and problem-solving skill both in real life and education. This research investigates the reduction of cognitive load in CT based learning system than non-computational (NCT) learning way more accurately after doing a particular task within a scheduled training. But for the measurement of the cognitive load instantly no platform is used before. To overcome this problem the ultimate goal of this paper is to construct a MATLAB GUI for immediately measurement of electroencephalography (EEG) based cognitive load individually. To measure the amount of cognitive load EEG signal was acquired from the two-class participants during the strategically question task and resting state. Preprocessing steps along with power spectral density were extracted to calculate the theta/beta ratio which strongly correlates with cognitive load. By seeing the fluctuation curve of theta beta ratio students learning ability can be determined. All these steps would be possible with the help of MATLAB GUI immediately by pushing button.

I. Introduction

Computational Thinking (CT) based education system is essential for keeping up with the technological advancement of the current world. This learning system has no alternative as it allows learner a sequence of steps to follow for solving a certain complex problem easily. This increases the ability to work efficiently and more successfully which ensures the betterment of social and professional life. Janet Wing introduces the CT concepts in her article [1]. In her studies, she mentioned CT is a procedure involved in framing problems and their solutions to facilitate the results which are presented in a form that can effectively be done by an individual. Researchers describe four key techniques about the steps of CT [2]. •

Decomposition

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Pattern recognition

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Abstraction

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Algorithms