With the rapid growth of technology, computer learning has become increasingly integrated with artificial intelligence techniques in order to develop more personalized educational systems. These systems are known as Intelligent Tutoring systems (ITSs). This paper focused on the variant characteristics of ITSs developed across different educational…

Argumentation is an important skill to learn. It is valuable not only in many professional contexts, such as the law, science, politics, and business, but also in everyday life. However, not many people are good arguers. In response to this, researchers and practitioners over the past 15-20 years have developed software tools both to support and…

This paper will present a review of design-based research conducted over the past 10 years that has modeled and promoted students' reasoning, conceptual change and argumentative dialogue processes and practices through designing a number of digital dialogue games. This line of work was inspired by some challenges and insights that emerged during…

Discussion of intelligent computer-assisted instruction (ICAI) systems focuses on tutorial strategies. Highlights include artificial intelligence; degree of learner control; student modeling requirements in ICAI; ICAI system architecture; forms of knowledge; and tutoring functions, including questioning, teaching, and motivating. (17 references)…

Discusses the integration of instructional science and computer science. Topics addressed include motivation for building knowledge-based systems; instructional design issues, including cognitive models, representing student intentions, and student models and error diagnosis; representing tutoring knowledge; building a tutoring system, including…

This paper summarizes some of the current approaches to student modelling in Intelligent Tutoring Systems (ITS) and proposes ways in which learning algorithms can be applied in ITS. The role of machine learning in tutoring systems is described, including student modelling, teaching strategies, and collaborative learning. The PIXIE system and the…

The nature of the learner-machine interaction is of central importance in the design of guided discovery learning environments. The interface to a learning environment is the only way in which a learner has access to the functionality of the system, and conversely, the interface in the only way in which the tutoring component of the system has…