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Becker, Lee A. – Programmed Learning and Educational Technology, 1988
Explores how a set of possible student misconceptions about solving a complex problem can be used in computer-based intelligent tutoring systems and in computer-based exercise and test generation. Topics discussed include expert systems, misconception covers, discrimination trees, methods of acquiring the set of misconceptions, and protocol…
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Concept Formation, Expert Systems

Pirie, Susan; Kieren, Tom – For the Learning of Mathematics, 1989
Analyzes two transcripts of children's mathematical behavior to observe the nature of recursive levels and interrelationships among them. Describes several levels of the recursions. (YP)
Descriptors: Concept Formation, Elementary Education, Elementary School Mathematics, Fractions
Lockhead, Jack – 1989
This paper describes the implications of constructivism both for what to teach and for how to teach. The first part discusses three approaches on what to teach: (1) relating mathematical knowledge to other knowledge; (2) checking for self-consistency; and (3) putting thinking before facts. The second part is on how to teach based on…
Descriptors: College Mathematics, Concept Formation, Concept Teaching, Higher Education

Mack, Nancy K. – Journal for Research in Mathematics Education, 1990
Examines the development of students' understandings about fractions during six weeks of instruction. Reports that all students possessed informal knowledge disconnected from their knowledge of fraction symbols and procedures and that knowledge of rote procedures often interfered with students' attempts to build on their informal knowledge.…
Descriptors: Arithmetic, Concept Formation, Concept Teaching, Elementary Education

Stewart, Jim; Dale, Michael – Science Education, 1989
Investigates high school students' understanding of the physical relationship of chromosomes and genes as expressed in their conceptual models and in their ability to manipulate the models to explain solutions to dihybrid cross problems. Describes three typical models and three students' reasoning processes. Discusses four implications. (YP)
Descriptors: Algorithms, Biology, Concept Formation, Fundamental Concepts