Using computer supported collaborative learning strategies for helping students acquire self-regulated problem-solving skills in mathematics
ARTICLE
Georgia Lazakidou, Symeon Retalis
Computers & Education Volume 54, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd
Abstract
The main objective of this paper is to investigate the effectiveness of a proposed computer-based instructional method in Primary Education for self-regulated problem solving. The proposed instructional method is based on Sternberg’s model of problem solving within an authentic context. It consists of three main phases: observation, collaboration and semi-structured guidance. The ultimate learning objective is to augment the autonomous problem-solving skills of primary school children. In our study the Synergo tool was used, which is a synchronous computer supported collaborative learning tool, as well as the Moodle learning management system. The context which frames the method is authentic, very close to a students’ realistic learning situation. The findings of this study advocate that students can increase their problem-solving skills in a relatively short period of time. At the same time, they can improve their approach to the solution of a given mathematical problem, performing significant signs of autonomy.
Citation
Lazakidou, G. & Retalis, S. (2010). Using computer supported collaborative learning strategies for helping students acquire self-regulated problem-solving skills in mathematics. Computers & Education, 54(1), 3-13. Elsevier Ltd. Retrieved August 13, 2024 from https://www.learntechlib.org/p/66939/.
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A collaborative digital pen learning approach to improving students' learning achievement and motivation in mathematics courses
Chester S.J. Huang, Research Center for Science and Technology for Learning, Taiwan; Addison Y.S. Su, Advanced Communication Laboratory, Taiwan; Stephen J.H. Yang, Research Center for Science and Technology for Learning, Taiwan; Hsin-Hun Liou, Department of Computer Science and Information Engineering, Taiwan
Computers & Education Vol. 107, No. 1 (April 2017) pp. 31–44
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