Artificial intelligence research on natural language understanding is discussed in this report using the notions that (1) natural language understanding systems must "see" sentences as elements whose significance resides in the contribution they make to the larger whole, and (2) a natural language understanding computer system must…

The relationship between hyperactivity and neuropsychological test performance at different age levels was investigated with 90 children 6-8 years old and 92 children 9-12 years old. Subjects were administered a battery of neuropsychological tests, and a parent completed the Child Behavior Checklist (CBC). Young children demonstrated no…

This report discusses the importance of presenting qualitative, causally consistent models in the initial stages of learning so that students can gain an understanding of basic electrical circuit concepts and principles that builds on their preexisting ways of reasoning about physical phenomena, and it argues that tutoring environments must help…

The thesis of this paper is that social class profoundly affects performance on IQ, aptitude, and specific school learning abilities and disabilities tests, and that a fair, quantitative measurement of socioeconomically depressed students is only possible with local or comparable norms. The controversial issue in such testing of students is the…

This paper argues that research findings from the study of teaching could be very useful in enhancing knowledge and tools for the design of both conventional and intelligent instructional software. It also suggests that if the ways in which teachers effectively conduct instruction are different and in certain ways better than other media, and if…

A major goal of science education is to turn novices (students) into experts (scientists or science literates) with a minimum amount of pain, effort, and time. However, transfer of biology knowledge from instructor to student usually results in a loss of the rich interconnections that an expert has. The papers in this set describe efforts to…

A theory of memory is introduced, which seeks to respond to the shortcomings of existing theories based on metaphors. Memory is presented as a mechanism, a comparison process in which information held in some form of immediate storage (whether based on perception or previous cognition or both) is compared to previously stored long-term storage.…

This paper addresses the problem of probabilistic reasoning as it applies to Truth Maintenance Systems (TMS). A computer-based Belief Maintenance System (BMS) has been constructed which manages a current set of probabilistic beliefs in much the same way that a TMS manages a set of true/false beliefs. It may be thought of as a generalization of a…

This paper describes the theoretical underpinnings and architecture of a new type of learning environment that incorporates features of microworlds and of intelligent tutoring systems. The environment is based on a progression of increasingly sophisticated causal models that simulate domain phenomena, generate explanations, and serve as student…

Evaluation models are being developed for assessing artificial intelligence (AI) systems in terms of similar performance by groups of people. Natural language understanding and vision systems are the areas of concentration. In simplest terms, the goal is to norm a given natural language system's performance on a sample of people. The specific…

All elementary and middle school students can gain five different types of knowledge about computers: (1) how to operate a computer; (2) roles computers play in different subject areas and outside of education; (3) how to direct a computer to aid them in writing, information retrieval, music composition, and creative art; (4) algorithmic thinking;…

A group of American and Japanese psychologists, anthropologists, linguists, and computer scientists gathered at the University of California, San Diego, to exchange ideas on models of joint problem solving and their special relevance to the design and implementation of computer-based systems of instruction. Much of the discussion focused on…

Scores of two groups of White and Hispanic children at 11 age levels from 2.5 years to 12.5 years were assessed. The scores were drawn from the Kaufman Assessment Battery for Children (K-ABC), an individually administered assessment battery designed to measure intelligence and achievement and intended for minority group assessment. Reliability…

Computer-based Natural Language Processing (NLP) is the key to enabling humans and their computer-based creations to interact with machines using natural languages (English, Japanese, German, etc.) rather than formal computer languages. NLP is a major research area in the fields of artificial intelligence and computational linguistics. Commercial…

Project aims were to learn what college freshmen knew of the late 19th and 20th century presidents and to determine the students' writing level. During the first class of each of five semesters, students enrolled in an American History Since 1865 course were asked to write one paragraph about any president in the time period 1865-1981. Due to time…