Full Program »
Evaluation of Difficulty During Visual Programming Learning Using A Simple Electroencephalograph and Minecraft Educational Edition
There are various difficulties encountered by learners during learning such as good or bad learning content, the difficulty level of the learning content, and the degree of learning proficiency. It is possible to detect these difficulties by measuring the browsing history, editing history, and biological information such as brain waves or eye-tracking information. In this paper, we aim to detect the learning state of each learner by measuring brain wave information during learning of visual programming using the Minecraft educational edition. Furthermore, the detected learning status is statistically evaluated using the results of a questionnaire conducted after the experiment. The results show that the assessment of task difficulty by learners is more significantly affected by the experience with Minecraft than by the experience with programming.