Describes instructional uses of computer programs found in David Heiserman's book "Projects in Machine Intelligence for Your Home Computer." The programs feature "creatures" of various colors that move around within a rectangular white border. (JN)

Discusses the development and nature of computer software for intelligent systems, indicating that the key to intelligent problem-solving lies in reducing the random search for solutions. Formal reasoning methods, expert systems, and sources of power in problem-solving are among the areas considered. Specific examples of such software are…

Explains intelligent agents, special software tools that help make the Web more interactive by helping with information retrieval. Describes major types of agents, including search agents and agents for specialized tasks including monitors and knowledge management; and lists relevant Web sites. (LRW)

Describes the "Knowledge Board," a comprehensive integrated writing environment for professionals who write complex documents. Program functions, including navigational capabilities, an automated note card file, information sorting, information weaving, a function to organize information logically, and a revision function are examined.…

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)

With the development of Internet technologies, online distance education is becoming an important format for teaching, learning, and instruction. In the 21st century, bleeding edge technologies make it possible for more and more students, especially adults, to benefit from an online education. This new paradigm in education allows students to…

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…

The article discusses the characteristics of expert systems (computer programs designed to replicate human expertise in a variety of areas), describes recently available expert system development tools, suggests applications within the field of special education, and reviews recent efforts to apply expert systems technology to special education…

Artificial intelligence programing for computers is advancing rapidly. The translation of databases into an institutional research knowledge base is explored, including the heuristic knowledge of institutional research experience. (Author/MLW)

Presents the listing for a TRS-80 Model III program which illustrates the first law of robotics (all robots must be programed so that none of their actions will be harmful to man). Also discusses the rational for and development of the program. (JN)

Presents perspectives on methodological assumptions underlying research efforts in artificial intelligence (AI) and charts activities, motivations, methods, and current status of research in each of the major AI subareas: natural language understanding; computer vision; expert systems; search, problem solving, planning; theorem proving and logic…

Explains two microcomputer programs written in BASIC for the Apple IIe microcomputer which allow the user to evaluate the Wechsler Intelligence Scale for Children-Revised and choose recommendations to fit the individual needs of the client being tested. (MBR)