Schools are facing increasing demands to prepare students for rapid economic, environmental and social changes, for jobs that have not yet been created, for technologies that have not yet been invented, and to solve social problems that have not yet been anticipated. Underpinning the E2030 project is the premise that education needs to do more…

The author advocates that humanities scholars should seek and study programming languages. He believes that, increasingly, an appreciation of how complex ideas can be imagined and expressed as a set of formal procedures--rules, models, algorithms--in the virtual space of a computer will be an essential element of a humanities education. Students…

Not long after he completed his Ph.D. at the University of Michigan, Mike Van Lent used his interest in videogames and artificial intelligence to land a research professorship at the University of Southern California (USC). There he edits the Journal of Game Development and conducts studies for the Institute for Creative Technologies, a $45…

Discusses intelligent tutoring systems (ITS), one application of artificial intelligence to computers used in education. Basic designs of ITSs are described; examples are given including PROUST, GREATERP, and the use of simulation with ITSs; protocol analysis is discussed; and 38 prototype ITSs are listed. (LRW)

Briefly discusses three different approaches to instruction and differences between education and training, and proposes a system for categorizing different types of instructional software currently available: memorization software for education (drill and practice) and for training (simulations), and performance aid software (intelligent computer…

Discusses the extent to which computers can understand natural language. Considers assertions that computers can be described as literate, and considers more generally the purpose of designing machines which perform like humans. (RS)

Addresses the potential of conversational simulations for computer-assisted language learning (CALL) and reasons why this potential is largely untapped. Topics discussed include artificial intelligence; microworlds; parsing; realism versus reality in computer software; intelligent tutoring systems; and criteria to clarify what kinds of CALL…

This paper addresses the characteristics and applications of artificial intelligence (AI) as a subsection of computer science, and briefly describes the most common types of AI programs: expert systems, natural language, and neural networks. Following a brief presentation of the historical background, the discussion turns to an explanation of how…

Explains the Intelligent Maintenance Training System that allows a nonprogramming subject matter expert to produce an interactive graphical model of a complex device for computer simulation. Previous simulation-based training systems are reviewed; simulation algorithms are described; and the student interface is discussed. (Contains 24…

Compares David Kearns' resentment of school performance (in the same "Kappan" issue) to the author's own frustration with Xerox photocopiers. To achieve the restructuring and choice central to Kearns' educational recovery plan, the schools will need to depend increasingly on technology (computer simulations, interactive video, and…

According to the author's book "Being Digital," our world is shifting from atoms to bits. Digitally rendered information, combined with personal computing power and networks, will make computers active participants in our everyday lives. "Teaching-disabled" classrooms will move from passivity to active participation and…

Describes three principal types of embedded training: help systems, simulations, and intelligent tutors. Implications of designing and implementing embedded training are discussed in terms of a set of propositions about the use of computers for learning. (Author/MBR)

Research on intelligent tutoring systems is discussed from the point of view of providing moment-by-moment adaptation of content and form of instruction to the changing cognitive needs of individual learners. Implications of this goal for cognitive diagnosis, subject matter analysis, teaching tactics, and teaching strategies are analyzed. (Author)

Suggests use of simulation as an educational strategy has promise for the school of the future; discusses specific advantages of simulations over alternative educational methods, role of microcomputers in educational simulation, and past obstacles and future promise of microcomputer simulations; and presents a literature review on effectiveness of…

Reacts to Ohlsson, Ernst, and Rees' paper by initially discussing the costs of methodology that utilizes artificial intelligence (AI) to model cognitive processes. Raises three concerns with the paper: insufficient clarification of the meaning of conceptual versus procedural understanding of base-10 subtraction; realism of the learning model; and…