Lan, Y.-J., Sung, Y.-T., Tan, N.c., Lin, C.-P., & Chang, K.-E. (2010). Mobile-Device-Supported Problem-Based Computational Estimation Instruction for Elementary School Students. Educational Technology & Society, 13 (3), 55–69.


Mobile-Device-Supported Problem-Based Computational Estimation Instruction for Elementary School Students

Yu-Ju Lan

Department of Applied Chinese Languages and Literature, National Taiwan Normal University, Taiwan //Tel: +886-2-77148232 // yujulan@gmail.com

 

Yao-Ting Sung

Department of Educational Psychology and Counseling, National Taiwan Normal University, Taiwan //Tel: +886-2-77343769

 

Ning-chun Tan

Department of Mathematics and Information Education, National Taipei University of Education, Taiwan //Tel: +886-926892732

 

Chiu-Pin Lin

Graduate Institute of eLearning Technology, National Hsinchu University of Education, Taiwan //Tel: +886-3-5213132-7904

 

Kuo-En Chang

Graduate Institute of Information and Computer Education, National Taiwan Normal University, Taiwan // Tel: +886-2-77341014 // kchang@ntnu.edu.tw

 

ABSTRACT: This study implemented a three-stage problem-based estimation instruction scenario and combined it with mobile technology to provide elementary teachers with an effective e-tool for observing student estimation and leading effective class or group discussions on the selection and assessment of appropriate strategies for solving daily estimation problems. Twenty-eight fourth graders were randomly sampled and assigned to two groups: the experimental group (problem-based estimation instruction using mobile devices) and the control group (problem-based estimation instruction without mobile devices). The analytical results demonstrated that problem-based estimation instruction could effectively help students learn computational estimation skills. Moreover, using mobile devices for problem-based computational estimation instruction appeared to help students discuss and cooperate with others, and moreover the mobile-device-supported problem-based estimation scenario helped students develop metacognition knowledge of estimation strategies.

Keywords: Computational Estimation, Number Sense, Mobile Learning, Problem-Based Learning

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