Educational data mining from action LOG files of intelligent remote laboratory with embedded simulations in physics teaching

Abstract

Remote laboratories enter the teaching process, especially in research based education. In connection of this, new demands on both teacher and student occur. Especially acute is the need for a fast feedback about the process of measurements and its correctness. All these is enabled by the static LOG file, providing a time record of all steps, executed during measurements. We present the detailed case study of remote laboratory “Transient phenomena in electric oscillations” with about 170 university students of bachelor studies. We discovered the “knowledge barrier” at the beginning of process of measurements, leading to the excessive time losses and discovering the sources of it in simple mathematical relation of formula—graph and inability to evaluate data accordingly. We also found the ill effect of this inability on the total time of laboratory exercise. As a solution we suggest the use of components of virtual and augmented reality and artificial intelligence for reasonable influence of students’ activities and advice together with cooperating experienced teacher. © 2019, Springer Nature Switzerland AG.