Teaching and research in physiology encompass increasingly complex notions of the system under study. Computer modeling fosters understanding by extending the ability to formulate, test, and evaluate hypotheses about the system, and to describe experimental data. The exploration of the model system's behavior serves teaching and investigation in…

Discusses how clinical diagnosis is taught to third year medical students, focusing on the software developed and used. At present, the system utilizes menu presentation on an IBM PC, with keyboard responses. (JN)

Describes how a traditional neurophysiology laboratory has been computerized and how students work with digitizing on-line data. Points out advantages of computerization, including the speed, accuracy, and reliability in the acquisition, reduction, and analysis of data. Also describes four generic computer programs tailored to the particular…

Surveyed physiology teaching methods and compared results to 1969 and 1973 surveys. Respondents (107/139 physiology department chairpersons) indicated decrease in but continued use of laboratory exercises and a trend toward problem-solving sets, audiovisual aids, computer simulation, and computer assisted instruction. Data are provided for these…

Describes a model which gives realistic predictions of pulsatile pressure, flow, and volume events in the cardiovascular system. Includes computer oriented laboratory exercises for veterinary and graduate students; equations of the dynamic and algebraic models; and a flow chart for the cardiovascular teaching program. (JN)

Presented are abstracts of five papers on teaching materials/methods presented at the 35th annual meeting of the American Physiological Society. Topic areas include expert system used as a teacher/consultant in hemostasis problems, computer assisted testing, and excitation/conduction properties of membranes as illustrated by the compound action…

Twelve abstracts of papers presented at the 33rd Annual Fall Meeting of the American Physiological Society are listed, focusing on teaching materials/methods. Topics, among others, include trends in physiology laboratory programs, cardiovascular system model, cardiovascular computer simulation with didactic feedback, and computer generated figures…

Discusses: how artificial intelligence (AI) can advance education; if the future of software lies in AI; the roots of intelligent computer-assisted instruction; protocol analysis; reactive environments; LOGO programming language; student modeling and coaching; and knowledge-based instructional programs. Numerous examples of AI programs are cited.…

Examines whether the use of computers is more efficient than traditional methodology in terms of time and cost in reaching goals related to: (1) vocabulary; (2) concepts of disease processes; (3) specific organ system pathology; (4) disease morphology; and (5) laboratory testing. (JN)

Describes a method for undergraduate physiology students to measure plasma volume by the dye dilution technique, in which a computer is used to interpret data. Includes the computer program for the data analysis. (CS)

Describes computer program (HUMAN) used to simulate physiological experiments on patient pathology. Program (available from authors, including versions for microcomputers) consists of dynamic interactions of over 150 physiological variables and integrating approximations of cardiovascular, renal, lung, temperature regulation, and some hormone…

A collection of six papers presented at Queen Elizabeth College of University of London in February, 1979. Techniques presented on role of computer models and data bases, tapes/booklets, games and models, and audio tutorials as an alternative to practical teaching, television and videotapes, and computer graphics. (SA)

Presents a summary of responses to a brief survey of physiology chairpersons (N=117) on use of computer-based education (CBE) materials in physiology and an overview of discussions that occurred at a workshop focusing on this topic. Indicates that the popular use of materials is for simulations of physiological systems. (JN)