How smart technologies can enhance the learning process.
Learning is an ever-present activity in modern society that continues over our entire life-span. The process of learning is extensively studied in the domain of education and psychology. However, there is a lack of quantified near real-time measurements of the learning process both as regards individuals (learners) and their group dynamics.
The challenge is how to measure learners in real time and how to model these measurements to estimate the relevant quantities such as the learner’s attention. We developed a system that measures real time student attention. We proved that the system effectively predicts the learning outcomes to a certain extent.
Another challenge is to use smart technologies to motivate the learner’s activities. To demonstrate this approach, we developed a touch-typing tutor which motivates learners for touch typing through social signal communication based on the positive reinforcement principle.
Research challenges and proposed solutions
Research
Weak Ground Truth Determination of Continuous Human-Rated Data
A research paper (10.1109/ACCESS.2020.3046293) and web tool (https://www.lucami.org/en/WGT/) on Weak Ground Truth Determination of Continuous Human-Rated Data. The article presents a novel weak ground truth (WGT) determination and rater bias removal procedure on continuous human-rated data. The notion of WGT is essential in cases where there is no direct empirical…
Research paper on predicting students’ attention
Research paper Predicting students’ attention in the classroom from Kinect facial and body features was published in the EURASIP Journal on Image and Video Processing, vol. 80, 2017. Abstract This paper proposes a novel approach to automatic estimation of attention of students during lectures in theclassroom. The approach uses 2D…
Paper on student project building up student’s career prospects
Urban Burnik, Andrej Košir: Industrial product design project: building up engineering students’ career prospects The needs to bridge the academic skills of students involved in higher education and improve their readiness for employment in industry are being widely addressed. This paper presents results of a specific engineering project case supervised by…
Paper on emotion elicitation in socially intelligent services
Andrej Košir, Gregor Strle: Emotion Elicitation in a Socially Intelligent Service: The Typing Tutor The aim of the study is to evaluate the extent to which the machine emotion elicitation can influence the affective state (valence and arousal) of the learner during a tutoring session. The tutor provides continuous real-time…
Paper on student attention related to their learning gain
Urban Burnik, Janez Zaletelj, Andrej Košir: Video-based learners’ observed attention estimates for lecture learning gain evaluation This paper suggests an objective and non-intrusive evaluation of learners’ attention against learning outcomes by introducing an observed attention estimate (OAE). The procedure uses human annotations based on visual cues with a supporting video…