Artificial intelligence and education: Addressing the variability in learners’ emotion and motivation with adaptive teaching assistants
Rebecca Lazarides, Johann Chevalère · Bildung und Erziehung · 2021
One of the main challenges of education in modern societies is to effectively address the variability of students in academic learning settings. Students vary in terms of their individual learning preconditions, such as achievement and preknowledge, but also motivation and emotion. Teachers, in turn, have limited resources to provide each learner with individually tailored instruction. This research overview reviews research on artificially intelligent teaching assistants and their role in providing adaptive learning opportunities in relation to learners’ heterogeneous individual learning preconditions in the field of motivation and emotion.