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Qian Fu; Xinyi Zhou; Yafeng Zheng; Zhenyi Wang – Journal of Computer Assisted Learning, 2025
Background: Understanding algorithms is crucial for programming education, yet their abstract nature often challenges students. Algorithm visualisation (AV) has been proven effective in enhancing algorithmic thinking among university students. However, its efficacy for elementary school students and the optimal forms of AV tools remain unclear.…
Descriptors: Algorithms, Visualization, Elementary School Students, Learning Motivation
Katai, Zoltan; Osztian, Erika – Journal of Computer Assisted Learning, 2023
Background: This study is the first to address the topic of schematic versus realistic dynamic visualization with particular focus on the human movement effect (HME) when the content to be learned takes the form of a computer algorithm. An AlgoRythmics dance choreography illustration (HM-realistic) was compared with an abstract computer animation…
Descriptors: Computer Software, Algorithms, Visualization, Animation
Vidak, Andrej; Šapic, Iva Movre; Hadžimehmedovic, Mirza – Physics Teacher, 2022
In the past decade, we have witnessed the emergence of a large number of different computer-based animations and simulations that have the goal to foster better learning of different physics topics. Past studies have shown many benefits of animations and simulations, but for their efficient usage it is very important that teachers are well…
Descriptors: Computer Simulation, Scientific Concepts, Mechanics (Physics), Science Instruction
Sarah E. Shaner; Kari L. Stone – Journal of Chemical Education, 2023
A Fourier transform infrared (FTIR) experiment appropriate for an upper-level undergraduate laboratory such as chemical instrumentation is described. Students collect FTIR spectra of four protio-solvents and their deuterated analogues. In addition to qualitatively observing C-H and O-H peaks shift to lower energy upon deuteration, students apply a…
Descriptors: Undergraduate Students, Spectroscopy, Chemistry, Science Instruction
Muhiddin Furkan Kiliç; Afife Zehra Yurtsever; Feyza Açikgöz; Beste Basgut; Burcu Mavi; Ezgihan Ertuç; Sinem Sevim; Tuhan Oruk; Yavuz Selim Kiyak; Tuncay Peker – Anatomical Sciences Education, 2025
Traditional education often relies on passive learning approaches, whereas modern medical students increasingly seek interactive, technology-enhanced experiences. Despite the growing use of digital tools in anatomy education, there remains a lack of structured, student-centered 3D modeling courses embedded within the undergraduate medical…
Descriptors: Anatomy, Medical Education, Medical Students, Learner Engagement
Rabattu, Pierre-Yves; Debarnot, Ursula; Hoyek, Nady – Anatomical Sciences Education, 2023
Descriptive and functional anatomy is one of the most important sciences for kinesiology students. Anatomy learning requires spatial and motor imagery abilities. Learning anatomy is complex when teaching methods and instructional tools do not appropriately develop spatial and motor imagery abilities. Recent technological developments such as…
Descriptors: College Students, Kinesiology, Anatomy, Movement Education
Zahra Firdaus; Siti Zubaidah; M. Munzil – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2024
The biological concept has a broad scope and requires the visualisation of bioprocesses to provide complex understanding. Learning media can help visualise bioprocesses to enhance students' cognitive abilities. The study aimed to develop, test the practicality, and test the effectiveness of video animation in improving grade XI high school…
Descriptors: High School Students, Video Technology, Animation, Multimedia Instruction
Prasad, Alvin; Chaudhary, Kaylash; Sharma, Bibhya – Education and Information Technologies, 2022
As a novice, learning computer programming is challenging. It requires learners to be inquisitive and acquire skills to analyze problems to get to solutions critically. Unfortunately, students drop out of programming courses because students think that programming is difficult to understand. The student's understanding of the problem definition is…
Descriptors: Programming, Computer Science Education, Skill Development, Computer Literacy
Mselle, Leonard; Ishengoma, Fredrick – Education and Information Technologies, 2022
In this paper, MTL, an approach for visualization-based pedagogy, is analyzed and contextualized in both Cognitive Load Theory (CLT) and Dual Coding Theory (DCT). Through MTL, lectures, tutorials, laboratory sessions and individual study in learning and teaching programming are all carried out using two cognitive channels; verbal and non-verbal.…
Descriptors: Visualization, Teaching Methods, Cognitive Ability, Learning Theories

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