Intelligent tutoring systems can improve student outcomes, but developing such systems
typically requires significant expertise or prior data of students using the system. In this work …

This report describes a randomized controlled study that compared the personalization of
educational content based on neural networks to personalization by human experts. The …

A common strategy in curriculum generation for reinforcement learning is to train a teacher
network to generate tasks that enable student learning. But, what kind of tasks enables this …

Online higher education offers great learning flexibility but demands learners' high self-
regulated learning (SRL) skills, especially in self-paced and asynchronous online learning …

This paper addresses the importance of Knowledge Structure (KS) and Knowledge Tracing
(KT) in improving the recommendation of educational content in intelligent tutoring systems …

This qualitative descriptive case-study addressed the long-standing reading achievement
gap among African American children. The specific problem was that teachers' low …

We report on two consecutive randomized controlled studies that tested the implementation
of a state-of-the-art neural network-based algorithm for personalizing the sequencing of …

Nurse educators have adopted innovative pedagogies such as adaptive learning
technology to help nursing students succeed in nursing course exams and improve first-time …

Reinforcement Learning has achieved great success on environments with good simulators
(for example, Atari, Starcraft, Go, and various robotic tasks). In these settings, agents were …

This paper addresses the importance of Knowledge Structure (KS) and Knowledge Tracing
(KT) in improving the recommendation of educational content in intelligent tutoring systems …