Discusses the use of artificial intelligence (AI) in education and describes intelligent tutoring systems (ITSs). Knowledge representation and AI are discussed; differences between ITSs and traditional computer-assisted learning (CAL) are explained; and research that has contributed to ITSs from the fields of education, psychology, cognitive…

Discussion of current applications of artificial intelligence (AI) to writing focuses on how to represent knowledge of the writing process in a way that links procedural knowledge to other types of knowledge. A model is proposed that integrates the subtasks of writing into the process of writing itself. (15 references) (LRW)

Discussion of computer-supported collaborative learning, distributed artificial intelligence, and intelligent tutoring systems focuses on the concept of agents, and describes a virtual learning environment that has a multi-agent system. Describes a model of interactions in collaborative learning and discusses agents for Web-based virtual…

Discusses educational technology as a form of technical rationality and considers the conflict between practitioners' epistemological position as constructivists and technical rationality. Topics include cybernetics; autonomous systems theory; enactive constructivism; representation versus effective action; mind and memory; enaction in artificial…

Examines intelligent software agents, presents nine design principles aimed specifically at the technology perspective (to personalize task performance and general principles), and discusses what librarians can do that software agents (agents defined as activity-aware software programs) cannot do. Describes an information ecology that integrates…

Most of the emphasis on mining online assessment logs has been to identify content-specific errors. However, the pattern of general "consistency" is domain independent, strongly related to performance, and can itself be a target of educational data mining. We demonstrate that simple consistency indicators are related to student outcomes,…

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.…

Teachers in e-learning play a crucial role as facilitators of the students' learning experiences. To this end, a teacher needs to monitor, understand and evaluate the activity of the students in the course. What is more, e-learning can be enhanced if tools for supporting teachers in this task are provided. In this paper, two experiences are…

This report presents the experimental approach and baseline findings from "Look at Your Health," an ongoing study to develop and evaluate a computer-assisted, counselor-delivered smoking cessation program for community college students. It describes the expert system software program used for data collection and for provision of tailored feedback,…

Computer-generated anthropomorphic characters are a growing type of communicator that is deployed in digital communication environments. An essential theoretical question is how people identify humanlike but clearly artificial, hence humanoid, entities in comparison to natural human ones. This identity categorization inquiry was approached under…

We investigated the properties of the distribution of human solution times for Traveling Salesperson Problems (TSPs) with increasing numbers of nodes. New experimental data are presented that measure solution times for carefully chosen representative problems with 10, 20, . . . 120 nodes. We compared the solution times predicted by the convex hull…

The authors provide an overview of data mining, giving special attention to the relationship between data mining and statistics to unravel some misunderstandings about the two techniques. (Contains 1 figure.)

To overcome weakness and faults of a web-based e-learning course such as Artificial Intelligence (AI), an immune agent was proposed, simulating a natural immune mechanism against a virus. The immune agent was built on the multi-dimension education agent model and immune algorithm. The web-based AI course was comprised of many files, such as HTML…

Open online courses (OOC) with a massive number of students have represented an important development for online education in the past years. A course on artificial intelligence, CS221, at the University of Stanford was offered in the fall of 2011 free and online which attracted 160,000 registered students. It was one of three offered as an…