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Peer reviewedSavage, G. J.; Officer, J. M. – International Journal of Man-Machine Studies, 1978
Establishes the need for literacy in dance; and describes two dance notation systems: the Massine notation method, and the Labanotation method. The use of interactive computer graphics as a tool for both learning and interpreting dance notation is introduced. (Author/VT)
Descriptors: Computer Assisted Instruction, Computer Graphics, Computer Programs, Dance
Peer reviewedSaunders, Frank A.; And Others – Journal of Educational Technology Systems, 1978
Describes a PLATO-based curriculum for teaching profoundly deaf children to understand speech sounds, which are presented as touch patterns on the abdomen. PLATO's auditory disk output is used to speak words and phrases which are converted to touch patterns via a new sensory aid, the teletactor. (Author/JEG)
Descriptors: Computer Assisted Instruction, Deafness, Educational Innovation, Hearing Impairments
Peer reviewedPliskin, Nava; And Others – Journal of Medical Education, 1978
The problem of acute pulmonary embolism is employed to illustrate that medical decision analysis is possible despite some of the difficulties encountered in previous application. The usefulness of computerized decision models is discussed. (LBH)
Descriptors: Clinical Diagnosis, Computer Assisted Instruction, Decision Making, Higher Education
Peer reviewedGrimm, Floyd M., III – American Biology Teacher, 1978
Describes the implementation of a computer assisted instruction program at Harford Community College. Eight different biology simulation programs are used covering topics in ecology, genetics, biochemistry, and sociobiology. (MA)
Descriptors: Biology, Computer Assisted Instruction, Educational Media, Educational Technology
Allen, Thomas; Beamish, Eric – Journal of Technological Horizons in Education, 1978
Describes a computer assisted instruction project, used with a basic chemistry course, to increase student understanding of chemical concepts. The project has two sub-systems: Student Response, and Independent Laboratory, together with two modes for evaluation, an "Opinion" mode and a "Quiz" mode. (GA)
Descriptors: Chemistry, College Science, Computer Assisted Instruction, Computers
Peer reviewedAskov, Eunice N.; And Others – English Education, 1978
Describes how computer assisted instruction is used in two competency based teacher education courses in language education at Pennsylvania State University. (DD)
Descriptors: Competency Based Teacher Education, Computer Assisted Instruction, English Education, Higher Education
Kropa, James C. – MATYC Journal, 1978
A conceptually elementary and geometrically based algorithm is presented to indicate how trigonometric functions can be calculated without using calculus. (MN)
Descriptors: Algorithms, College Mathematics, Computation, Computer Assisted Instruction
Peer reviewedCraig, C. Samuel; Brown, Lawrence A. – Simulation and Games, 1978
A game that simulates stages in the innovation diffusion process and allows research into the spatial and temporal spread of innovations is reported. The characteristis of player decision-making and factors underlying variation in the spatial patterning of diffusion are also discussed.
Descriptors: Computer Assisted Instruction, Decision Making, Diffusion, Man Machine Systems
Peer reviewedHudson, H. T. – American Journal of Physics, 1977
The use of multiple-choice homework coupled with computer grading provides a practical way of incorporating problem solving where more traditional techniques are impractical. (SL)
Descriptors: College Science, Computer Assisted Instruction, Grading, Higher Education
Peer reviewedCunningham, William G. – Kappa Delta Pi Record, 1977
Teachers and technologists have lived apart, with much doubt on both sides. The author suggests that collaboration, mutual trust, and respect, will usher in a new era for effective education. (Editor)
Descriptors: Computer Assisted Instruction, Computer Science, Educational Change, Educational Technology
Peer reviewedDubois, Th.; And Others – International Journal of Mathematical Education in Science and Technology, 1977
The theoretical background for evaluating students using fuzzy set theory and multicriteria analysis is discussed. (JLH)
Descriptors: Branching, Computer Assisted Instruction, Contingency Management, Educational Media
Peer reviewedDaly, D. W.; And Others – International Journal of Mathematical Education in Science and Technology, 1977
This paper describes the nature and use of a computer-assisted sequence of instruction in college-level mathematics. Units in differential and integral calculus and geometry are described. The authors claim that students acquire increased confidence in their knowledge and problem-solving ability. (SD)
Descriptors: Calculus, College Mathematics, Computer Assisted Instruction, Curriculum
Peer reviewedSuppes, P.; And Others – Journal of Educational Psychology, 1976
A quantitative theory of student trajectories in a computer assisted instruction course for deaf students is developed and tested. The theory rests on certain qualitative assumptions about information processing. The fit of data to theory is reported in terms of the standard scale of grade placement. (Author/DEP)
Descriptors: Branching, Computer Assisted Instruction, Curriculum Evaluation, Deafness
Strasser, Ben B. – California Journal of Teacher Education, 1977
Descriptors: Computer Assisted Instruction, Computer Programs, Inservice Teacher Education, Participant Satisfaction
Peer reviewedMiller, W. R.; Randolph, James R. – Journal of Educational Research, 1977
Findings from this study involving ninth-grade students in a computer-assisted occupational information program suggest that simulation is a method superior to merely providing information for reading and examination. (MB)
Descriptors: Computer Assisted Instruction, Educational Media, Educational Research, Learning Processes


