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Marios Pittalis; Ute Sproesser; Eleni Demosthenous – International Journal of Mathematical Education in Science and Technology, 2025
The aim of this study is to investigate how students graphically represent qualitative and quantitative aspects of co-varying quantities in an embodied digital learning environment that provides feedback in the form of an animation showing what kind of motion their graph represents and how this feedback helped them to overcome typical graphing…
Descriptors: Graphs, Electronic Learning, Animation, Mathematics Instruction
Jacob Beautemps; André Bresges; Sebastian Becker-Genschow – Journal of Science Education and Technology, 2025
This study investigates the impact of different animation styles on learning outcomes in physics, with a focus on explanations of the seasons. Using a combination of pre-post performance tests and eye tracking, we compared animations featuring a presenter with pure animations without a person in the frame. The sample consisted of students from a…
Descriptors: Electronic Learning, Animation, Video Technology, Technology Uses in Education
Na Ni; Zhongsheng He – International Journal of Web-Based Learning and Teaching Technologies, 2024
This paper mainly discusses the application of blending learning in animation teaching. Blending learning is a combination of traditional teaching mode and online teaching mode, which can provide students with more flexible and independent learning methods and improve teachers' teaching quality and teaching effect. This paper analyzes and…
Descriptors: Foreign Countries, Undergraduate Students, Blended Learning, Computer Uses in Education
Xin Bian; André Brown; Bruno Marques – International Journal of Art & Design Education, 2025
This article describes the motivation, aims, and consequent processes involved in designing an engaging and informative animated educational video that explains the historical exploitation of the Mount Dagushan iron ore mine in China. The mine is recognised as the deepest in China. It has been the source of raw material for the Anshan Steel…
Descriptors: Animation, Video Technology, Heritage Education, Instructional Materials
Chenghao Wang; Xueyun Li – International Journal of Computer-Assisted Language Learning and Teaching, 2025
D-ID Creative Reality Studio (D-ID) is a platform for creating Artificial Intelligence (AI) presenter (digital human) videos, translating videos, and designing conversational agents. D-ID seamlessly integrates deep-learning face animation technology, large language models (LLMs), natural language processing (NLP), and speech synthesis and…
Descriptors: Artificial Intelligence, Design, Video Technology, Animation