This paper proposes a learning based method that can automatically determine how likely a student is to give a correct answer to a problem in an intelligent tutoring system. Only log files that record students' actions with the system are used to train the model, therefore the modeling process doesn't require expert knowledge for identifying…

Over the last decade, the Intelligent Computer Tutoring Group (ICTG) has implemented many successful constraint-based Intelligent Tutoring Systems (ITSs) in a variety of instructional domains. Our tutors have proven their effectiveness not only in controlled lab studies but also in real classrooms, and some of them have been commercialized.…

Adaptation and personalization services in e-learning environments are considered the turning point of recent research efforts, as the "one-size-fits-all" approach has some important drawbacks, from the educational point of view. Adaptive Educational Hypermedia Systems in World Wide Web became a very active research field and the need of…

Although Web 2.0 technologies have been recognized as effective means of conducting group learning activities, a critical and challenging issue of Web 2.0-based learning is the lack of mechanisms for promoting information exchanges and sharing among participating students. To cope with this problem, an intelligent blog system is proposed in this…

In this article, Annick Janson and Robin Janson introduce research from the Microsoft New Zealand's Partners in Learning Programme by documenting the impact of digital learning objects (DLOs) on educational practice. Janson and Janson describe the impact of DLOs on the teaching practice of a primary school in New Zealand, tracing the effects of…

This study is a comparison of 2 versions of an Internet-based tutorial that teaches the behavior-analysis concept of positive reinforcement. A fixed-item group of students studied a version of the tutorial that included 14 interactive examples and nonexamples of the concept. A response-sensitive group of students studied a different version of the…

In this paper, we propose three different ways of using IMS Learning Design to support online adaptive learning modules that include educational videogames. The first approach relies on IMS LD to support adaptation procedures where the educational games are considered as Learning Objects. These games can be included instead of traditional content…

It is often assumed that engaging in a one-on-one dialogue with a tutor is more effective than listening to a lecture or reading a text. Although earlier experiments have not always supported this hypothesis, this may be due in part to allowing the tutors to cover different content than the noninteractive instruction. In 7 experiments, we tested…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…

In learning the Japanese language, kanji idiom learning is as important as kanji (Chinese characters) learning. A kanji idiom intelligent computer assisted instructional (ICAI) system called JUGAME was developed. It can handle approximately 3,000 kanji idioms and has a puzzle game environment within a learning environment using Open Software…

Probability-based inference in complex networks of interdependent variables is an active topic in statistical research, spurred by such diverse applications as forecasting, pedigree analysis, troubleshooting, and medical diagnosis. This paper concerns the role of Bayesian inference networks for updating student models in intelligent tutoring…

Describes an algorithm for developing a domain knowledge base used in a Japanese language intelligent tutoring system. The domain knowledge represents a model of the expertise required of a student for proficiency in reading "katakana," a Japanese orthography. The algorithm described can generate a knowledge base of Japanese phonological…

Focuses on student modeling within an Intelligent Tutoring System. Describes three domain-independent properties that the formalism representing student knowledge and the processes synthesizing this knowledge must possess to build accurate student models for second-language learning. Notes when, how, and where hypothetical reasoning mechanisms…

Reviews psychometric approaches to problems of modeling student achievement (the student model) within intelligent tutoring systems (ITS). A number of cognitively oriented psychometric approaches, including latent-trait models, statistical pattern recognition methods, and causal probabilistic networks are described and discussed within the current…

Examines advantages and disadvantages of multimedia simulation in nursing education. Provides an example of a modular design with an integrated intelligent agent and knowledge base for teaching clinical decision making. Concludes that this approach overcomes some of the problems of intelligent tutoring systems. Contains 40 references. (SK)