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Wang, Tzu-Ling; Tseng, Yi-Kuan – Journal of Computer Assisted Learning, 2020
The purpose of this study was to investigate not only the effectiveness of dynamic versus static visualizations on learning star motions but also the influence of students' spatial abilities with these two types of visualizations on their learning. We assigned 155 fifth-grade students to either a dynamic or a static condition. We used a science…
Descriptors: Teaching Methods, Computer Assisted Instruction, Spatial Ability, Science Achievement
Hwang, Wu-Yuin; Purba, Siska Wati Dewi; Liu, Yi-Fan; Zhang, Yun-Yuan; Chen, Nian-Shing – IEEE Transactions on Learning Technologies, 2019
Geometry students have few opportunities to apply geometric concepts and solve geometry problems in authentic contexts. We developed a Ubiquitous Geometry (UG) system to teach geometry to elementary students by using it to measure common objects in authentic contexts. The instant study investigates the effects of UG on student geometry estimation…
Descriptors: Geometry, Geometric Concepts, Comparative Analysis, Problem Solving
Sun, Koun Tem; Chen, Meng Hsun – International Journal of Distance Education Technologies, 2019
From random interviews of mathematics teachers, the researchers are conscious that students have difficulties in solving problems regarding compound body volume measurement. The researchers found the main factor involved in the difficulties was incomplete spatial concepts. Augmented reality (AR), which is a kind of educational technology, has been…
Descriptors: Geometry, Mathematics Instruction, Teaching Methods, Computer Software
Smith, Glenn Gordon; Middleton, James A. – Australian Educational Computing, 2003
This study compared interaction with a computer vs. observation as learning situations for low and high ability student's learning of spatial visualization and geometric transformations. Thirty-two fifth grade boys took the Differential Aptitude Test, Space Relations Subset (DAT), and then participated in the experiment. Pre-test and post-test…
Descriptors: Protocol Analysis, Low Achievement, Observational Learning, Aptitude Tests