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Cui, Zhihao; Ng, Oi-Lam – Journal of Educational Computing Research, 2021
In this paper, we explore the challenges experienced by a group of Primary 5 to 6 (age 12-14) students as they engaged in a series of problem-solving tasks through block-based programming. The challenges were analysed according to a taxonomy focusing on the presence of computational thinking (CT) elements in mathematics contexts: preparing…
Descriptors: Mathematical Logic, Thinking Skills, Computation, Elementary School Students
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Cheng, Hercy N. H.; Yang, Euphony F. Y.; Liao, Calvin C. Y.; Chang, Ben; Huang, Yana C. Y.; Chan, Tak-Wai – Journal of Educational Computing Research, 2015
Although well-designed scaffolding may assist students to accomplish learning tasks, its insufficient capability to dynamically assess students' abilities and to adaptively support them may result in the problem of overscaffolding. Our previous project has also shown that students using scaffolds to solve mathematical word problems for a long time…
Descriptors: Scaffolding (Teaching Technique), Computer Assisted Instruction, Word Problems (Mathematics), Problem Solving
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Chen, I-Ching; Hu, Shueh-Cheng – Journal of Educational Computing Research, 2013
The capability of solving fundamental mathematical problems is essential to elementary school students; however instruction based on ordinary narration usually perplexes students. Concept mapping is well known for its effectiveness on assimilating and organizing knowledge, which is essential to meaningful learning. A variety of concept map-based…
Descriptors: Concept Mapping, Computer Uses in Education, Mathematics Instruction, Problem Solving
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Lieber, Joan; Semmel, Melvyn I. – Journal of Educational Computing Research, 1987
Describes a study which compared the performance of learning handicapped and nonhandicapped boys in grades four, five, and six working in like pairs, mixed pairs, and individually at the computer on a mathematics problem-solving task. It was found that the boys worked as effectively in pairs as they did individually. (LRW)
Descriptors: Analysis of Variance, Computer Assisted Instruction, Elementary School Mathematics, Individual Instruction