Intelligent game-based learning environments have developed and created dynamic, effective, and engaging learning experiences, serving as a tutoring framework for students of different educational levels. Although game-based features have recently been shown to have the potential to improve intelligent tutoring systems in these learning…

Individualized learning support is an essential part of formal educational learning processes. However, in typical large-scale educational settings, resource constraints result in limited interaction among students, teaching assistants, and lecturers. Due to this, learning success in those settings may suffer. Inspired by current technological…

Since GPT-4's release it has shown novel abilities in a variety of domains. This paper explores the use of LLM-generated explanations as on-demand assistance for problems within the ASSISTments platform. In particular, we are studying whether GPT-generated explanations are better than nothing on problems that have no supports and whether…

Artificial intelligence (AI) is becoming ever better and more powerful, which is why it can be found in many areas of everyday life. AIs like ChatGPT have also found their way into universities and more and more students are trusting them. Previous studies found opportunities of ChatGPT in academic education such as personalized and interactive…

An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…

A longstanding goal of learner modeling and educational data mining is to improve the domain model of knowledge that is used to make inferences about learning and performance. In this report we present a tool for finding domain models that is built into an existing modeling framework, logistic knowledge tracing (LKT). LKT allows the flexible…

LearnSphere is a web-based data infrastructure designed to transform scientific discovery and innovation in education. It supports learning researchers in addressing a broad range of issues including cognitive, social, and motivational factors in learning, educational content analysis, and educational technology innovation. LearnSphere integrates…

To inform pedagogical decisions about using technology, it is important to understand from the ground up how technology is utilised during language learning activities. This paper takes an ethnomethodological conversation analytic approach to examine a learner's participation in epistemic management actions and its consequences for second language…

In designing an intelligent tutoring system, a core area of the application of AI in education, tips from the system or virtual tutors are crucial in helping students solve difficult questions in disciplines like mathematics. Traditionally, the manual design of general tips by teachers is time-consuming and error-prone. Generative AI, like…

Intelligent Tutoring Systems (ITSs) have emerged as valuable systems to promote active learning. It is critical to build accurate student models to support the learning process. In order to provide efficient and effective personalized instructions for students, tracking a student's time-varying knowledge state is essential to an ITS. Prior…

In numerous studies, intelligent tutoring systems (ITSs) have proven effective in helping students learn mathematics. Prior work posits that their effectiveness derives from efficiently providing eventually-correct practice opportunities. Yet, there is little empirical evidence on how learning processes with ITSs compare to other forms of…

Artificial intelligence (AI) in programming teaching is something that still has to be explored, since in this area assessment tools that allow grading the students work are the most common ones, but there are not many tools aimed toward providing feedback to the students in the process of creating their program. In this work a small sized…

To enhance the effectiveness of educational games, researchers have advocated adding learning supports in educational games, but this may come at the cost of disrupting the learning experience. Embedding virtual companions to provide learning supports may be an effective solution that naturally integrates learning supports into the game. However,…

This article presents a meta-analysis of the existing literature using Stata 18.0, focusing on the effects of ITSs on learning attitudes, knowledge acquisition, learner motivation, performance, problem-solving skills, test scores, and educational outcomes across different countries and educational levels (k = 30, g = 0.86). The findings suggest…

In tutoring systems, a pedagogical policy, which decides the next action for the tutor to take, is important because it determines how well students will learn. An effective pedagogical policy must adapt its actions according to the student's features, such as knowledge, error patterns, and emotions. For adapting difficulty, it is common to…