Problem Solving Strategies used in Virtual Reality Learning Environments
This research studies problem solving strategies taken while working out tasks within an Immersive Virtual Reality environment. A mixed qualitative and quantitative method records the sequence of steps that students use to solve virtual problems as well as determines the learner’s unique characteristics such as motivation, attitudes, and learner styles through surveys given prior to the virtual experience. Understanding of how students solve problems virtually is important, in both classrooms and in labs, as more and more digital teaching tools are replacing their paper based counterparts.
The Use of Artificial Intelligence in Student Assessment Software
This research focuses on improving the socio-economic sustainability of educational institutions through the creating of software which automatically assesses student’s work in STEM subjects. In contrast to other pedagogical software, this research deals with the assessment of the student’s process as opposed to only assessing the final answer. This is a crucial step in providing the student with proper feedback.
The probabilistic AI model used for the assessment is deeply rooted in cognitive theory which provides a general framework for assessment such that it can be easily applied or even modified to suite other subject areas.
The Smart Technologies for the monitoring of student’s well-being in learning spaces
The goal of this project is to design and implement a smart environmental monitoring system for learning spaces. The resulting system will provide a necessary feedback loop allowing for better environmental monitoring and control of learning spaces. This involves the determination of the major health and well-being factors that influence a learner and the design and development of the equipment using various sensors.