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Feng, Zeping; Lau, Newman; Zhu, Mengxiao; Liu, Mengru; Refati, Rehe; Huang, Xiao; Lee, Kun-pyo – Smart Learning Environments, 2023
In Mainland China, the sports training process of most players is highly homogenized, the convergence of which makes them ineffectively be identified with their individual and specific profile and difficult for them to play the sports according to their strengths and characteristics. Moreover, existing sports training software does not…
Descriptors: Foreign Countries, Youth, Team Sports, Training
Jennifer A. Cardenas Castaneda; Pei-Chun Lin; Patrick C. K. Hung; Hua-Xu Zhong; Hao-An Tseng; Yung-Fa Huang; Rafiq Ahmad – Smart Learning Environments, 2025
Education in science, technology, engineering, and mathematics (STEM) is essential to achieving continued technological advancement. The most critical years for instilling knowledge are during childhood, and a strategic way to accomplish this is through playful materials. Therefore, there is a need to develop more inclusive solutions to achieve…
Descriptors: Instructional Design, STEM Education, Visual Impairments, Students with Disabilities
Liew, Tze Wei; Pang, Wei Ming; Leow, Meng Chew; Tan, Su-Mae – Smart Learning Environments, 2022
Emotional design refers to imbuing a multimedia learning environment with design attributes that promote learners' positive affect and motivation to enhance learning. One such feature is anthropomorphism, in which human-like attributes are infused into learning elements in a multimedia learning environment. This study examines the affective,…
Descriptors: Multimedia Instruction, Instructional Design, Multimedia Materials, Human Body