Many AIED systems support self-regulated learning, yet, support for setting and achieving practice goals has received little attention. We examine how middle school students respond to system-recommended practice goals, building on the success of similar data-driven recommendations in other domains. We introduce an adaptive dashboard in an…

The rapid advancement of artificial intelligence (AI) has profoundly transformed many people's lives, ChatGPT being a clear example, whose capabilities have substantially influenced the automation of tasks such as writing texts and providing information sources for researchers. This review article aims to understand the impact of AI on academic…

Background/purpose: This study explored the benefits and challenges of using artificial intelligence (AI) in education from the perspective of academic staff at Bisha University in Saudi Arabia. AI is a practical field of science and technology that is changing all the fields of capacity development priority. In education, AI has begun generating…

This multi-case study investigates how AI chatbots enhance asynchronous learning by fostering critical ideation, structured argumentation, and collaborative knowledge construction across three U.S. higher education institutions. Drawing on a socio-material perspective, we examine the socio-material assemblages formed through interactions between…

In November 2019, the Leonard Lief Library implemented Ivy.ai, a proprietary chatbot on its website. This implementation was the first academic library installation of a vendor-supplied chatbot to be discussed in the professional literature. This chatbot functioned as a new tool that assisted users seeking information from the library website.…

This paper describes LOGAX, an interactive tutoring tool that gives hints and feedback to a student who stepwise constructs a Hilbert-style axiomatic proof in propositional logic. LOGAX generates proofs to calculate hints and feedback. We compare these generated proofs with expert proofs and student solutions, and conclude that the quality of the…

For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…

This paper develops a method for the construction and evaluation of cognitive models to support students in their problem-solving skills during robotics in school, aiming to build a basis for an implementation of a tutoring system in the future. Two Wizard-of-Oz studies were conducted, one in the classroom and one in the lab. Based on the…

Recent technologies have extended opportunities for online dance learning by overcoming the limitations of space and time. However, dance teachers report that student-teacher interaction is more likely to be challenging in a distant and asynchronous learning environment than in a conventional dance class, such as a dance studio. To address this…

In this article, smart learning environment (SLE) is defined as a hybrid learning system that provides learners and other stakeholders with a joyful learning process while achieving learning outcomes as a result of the employed intelligent tools and techniques. From literature study, existing SLE models and frameworks are difficult to understand…

Computer-assisted instructional programs such as intelligent tutoring systems are often used to support blended learning practices in K-12 education, as they aim to meet individual student needs with personalized instruction. While these systems have been shown to be effective under certain conditions, they can be difficult to integrate into…

Teaching programming is a topic that has generated a high level of interest among researchers in recent decades. In particular, multiple approaches to teaching visual programming have been explored, from the use of tools such as Scratch, robots, unplugged programming, or activities for the development of computational thinking. Despite the wide…

Gender-stereotypical design, such as the predominance of blue colors in interfaces, leaderboards with only men at the top, and male avatars, may have negative effects on women in gamified tutoring systems, especially in courses with a majority of male participation, such as courses of Science, Technology, Engineering, and Mathematics (STEM). We…

The digital transformation of education is greatly accelerating in various computer-supported applications. As a particularly prominent application of the human-machine interactive system, intelligent learning systems aim to capture users' current intentions and provide recommendations through real-time feedback. However, we have a limited…

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…