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Nesbit, John C.; Hunka, Steve – Instructional Science, 1987
Proposes a criterion for selecting a sequence of objectives from a learning hierarchy and describes a sequence generating algorithm which is designed to generate a minimal memory load sequence from a learning tree. Its effectiveness in generating low memory load sequences from hierarchies that are not trees is also discussed. (RP)
Descriptors: Algorithms, Computer Assisted Instruction, Educational Objectives, Instructional Design
Gray, Susan H. – Journal of Computer-Based Instruction, 1987
Reviews study of 80 undergraduate sociology students which compared the effects of two types of sequencing in computer assisted instruction: (1) linear, or fixed, and (2) flip, or branching. Results indicate that students in the flip sequence condition performed better on comprehension measures but not on retention measures. (Author/LRW)
Descriptors: Branching, Comprehension, Computer Assisted Instruction, Correlation
Browning, Mark – 1988
The purpose of the research was to manipulate two aspects of genetics instruction in order to measure their effects on college, introductory biology students' achievement in genetics. One instructional sequence that was used dealt first with monohybrid autosomal inheritance patterns, then sex-linkage. The alternate sequence was the reverse.…
Descriptors: Academic Achievement, Biology, College Science, Computer Assisted Instruction
Cuneo, Diane O. – 1986
Turtle graphics is a popular vehicle for introducing children to computer programming. Children combine simple graphic commands to get a display screen cursor (called a turtle) to draw designs on the screen. The purpose of this study was to examine young children's abilities to function in a simple computer programming environment. Four- and…
Descriptors: Computer Assisted Instruction, Computer Graphics, Computer Science, Computer Uses in Education
Tennyson, Robert D.; And Others – Educational Communication and Technology, 1985
This study used secondary education students to investigate three instructional design variables hypothesized to improve rule learning. Results show structuring information by a schematic analysis improves learning over taxonomic analysis; response-sensitive sequency adapting instruction for generalization, then discrimination, improves learning;…
Descriptors: Analysis of Variance, Cognitive Processes, Computer Assisted Instruction, Grade 11