This article is a review of experiments comparing the effectiveness of human tutoring,
computer tutoring, and no tutoring.“No tutoring” refers to instruction that teaches the same …

An emerging field of educational data mining (EDM) is building on and contributing to a wide
variety of disciplines through analysis of data coming from various educational technologies …

The ASSISTments project is an ecosystem of a few hundred teachers, a platform, and
researchers working together. Development professionals help train teachers and get …

Increasing widespread use of educational technologies is producing vast amounts of data.
Such data can be used to help advance our understanding of student learning and enable …

Advances in natural language processing (NLP) and educational technology, as well as the
availability of unprecedented amounts of educationally-relevant text and speech data, have …

In this paper, we demonstrate a closed-loop EEG-based learning environment, that adapts
instructional learning material online, to improve learning success in students during …

High quality of teaching is fundamental purpose and basic task of a university, as well as a
foothold in the university. We introduce in this paper a university teaching evaluation. This …

We present new methodology based on Multi-Objective Markov Decision Processes for
developing sequential decision support systems from data. Our approach uses sequential …

A key challenge in e-learning environments like Intelligent Tutoring Systems (ITSs) is to
induce effective pedagogical policies efficiently. While Deep Reinforcement Learning (DRL) …

In recent years, Reinforcement learning (RL), especially Deep RL (DRL), has shown
outstanding performance in video games from Atari, Mario, to StarCraft. However, little …