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O'Neill, M. J. – Australian Mathematics Teacher, 1986
Some limitations of computing with calculators and computers are described, with particular reference to typical computations which might be performed by senior secondary school students. Types of errors, the laws of number, and intermediate round-offs are each illustrated, with conclusions and implications. (MNS)
Descriptors: Calculators, Computation, Computer Oriented Programs, Error Patterns
Lee, Okhwa; Lehrer, Richard – 1987
Seven graduate students in a seminar on classroom computing received instruction in LOGO programming. Programming protocols were collected periodically and examined for errors and misconceptions; in-depth interviews were conducted in order to understand specific misconceptions better. As novice students transit from instruction to experience in…
Descriptors: Computer Oriented Programs, Computer Science Education, Concept Formation, Educational Research
Mich, Peter T.; Nardine, Frank E. – 1986
Recall of multiplication number facts is a major educational objective in elementary grades, yet some children never acquire total mastery. A microcomputer multiplication number facts training program was developed which incorporated programmed instructional features including feedback, positive reinforcement, vanishing, branching and pairing.…
Descriptors: Basic Skills, Computer Oriented Programs, Drills (Practice), Educational Research
Pea, Roy D.; And Others – Focus on Learning Problems in Mathematics, 1987
An overall schema of interpretation for programming instructors is given, so that the misconceptions students develop in programming can be determined more readily. Types of language-independent and -dependent bugs, how they can be identified, and how to help students overcome them are addressed. (MNS)
Descriptors: Cognitive Processes, Computer Oriented Programs, Computer Science Education, Error Patterns

Goldenberg, E. Paul – Journal of Mathematical Behavior, 1988
Computer software with graphic representations of functions can teach algebraic concepts, or can blur or obscure concepts of great importance. Making good use and bad use of visual imagery are each discussed. Then a general theory of interpretation of graphs is proposed, and a list of examples is presented. (MNS)
Descriptors: Algebra, Computer Oriented Programs, Computer Software, Educational Theories