Describes a parsing program called "Analyzing Language" (AL). The Augmented Transition Network was modified to incorporate case grammar analysis. Turbo PASCAL is the program's language. (Author/LMO)

Describes the development of an artificial intelligence system called GIDE that analyzes student errors in statistics problems by inferring the students' intentions. Learning strategies involved in problem solving are discussed and the inclusion of goal structures is explained. (LRW)

A pilot test study of an expert systems approach to university enrollment management, specifically admissions decisions, was conducted at Northeastern University. Other potential uses for expert systems in enrollment management are suggested. (Author/MLW)

Presents and develops a general model of the nature of a learning system and a classification for learning systems. Highlights include the relationship between artificial intelligence and cognitive psychology; computer-based instructional systems; intelligent instructional systems; and the role of the learner's knowledge base in an intelligent…

Describes and outlines the general syllabus of a philosophy course entitled, "Minds and Robots." Lists the assigned readings and explains the issues addressed in the 14-week course. Essay questions that are used for the mid-term and final exams are also included. (ML)

Annotates reference material on artificial intelligence, mostly at an introductory level, with applications to education and learning. Topics include: (1) programing languages; (2) expert systems; (3) language instruction; (4) tutoring systems; and (5) problem solving and reasoning. (JM)

Describes a programming environment called Tinker, in which a beginning programmer presents examples to the machine, distinguishing accidental and essential aspects of the examples. Examples of programming in Tinker are presented in which programmers demonstrate how to handle specific examples and the machine formulates a procedure for handling…

Discussion of intelligent computer assisted learning (CAL) systems considers both those that offer natural language communication to the user and those that are adaptive, generative, or self-improving. Current interest in student-built learning environments (exemplified by work with LOGO and PROLOG) is examined, and obstacles to future intelligent…

Examines two primary roles played by natural language processing in storage and retrieval of information and outlines organization of natural language interface for data retrieval (question-answering system) and approaches being taken to text analysis. Research issues in computational linguistics and interactive knowledge acquisition are…

Cognitive psychology, artificial intelligence, and computer technology have advanced so much that it is feasible to build computer systems that are as effective as intelligent human tutors. Computer tutors have been developed for teaching students to do proofs in geometry and to write computer programs in the LISP language. (JN)

A series of classroom microcomputer-assisted games based on an approach to understanding through mythological symbolism is described and discussed. (MSE)

Review of office filing facility filing and retrieval mechanisms for unstructured and mixed media information focuses on free text methods. Also discussed are the state of the art in handling voice and image data, problems with searching text surrogates to implement free text content retrieval, and work of Project Minstrel. (Author/MBR)

Defines artificial intelligence (AI) and discusses its history; the current state of the art, research, experimentation, and practical applications; and probable future developments. Key dates in the history of AI and eight references are provided. (MBR)

Describes 10 smart technologies for education, including voice to text software; mobile computing; hybrid computing; virtual reality; artificial intelligence; telementoring; assessment methods; digital video production; fingerprint recognition; and brain functions. Lists pertinent Web sites for each technology. (LRW)

Discusses intelligent learning environments for computer-based learning, such as agent-based learning environments, and their advantages over human-based instruction. Considers the effects of multiple agents; agents and research design; the use of Multiple Intelligent Mentors Instructing Collaboratively (MIMIC) for instructional design for…