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Madison Fansher; Logan Walls; Chenxu Hao; Hari Subramonyam; Aysecan Boduroglu; Priti Shah; Jessica K. Witt – Cognitive Research: Principles and Implications, 2025
In contexts where people lack prior knowledge and risk awareness--such as the COVID-19 pandemic--even truthful visualizations of data can seem surprising. This can lead people to mistrust the veracity of the data and to discount it, leading to poor risk decisions. In this work, we illustrate how narrative visualizations can achieve a balance…
Descriptors: Visualization, Trust (Psychology), Data, Credibility
Satoru Muro; Keisuke Miyosawa; Kumiko Yamaguchi; Kentaro Okamoto; Shota Okamoto; Tomoki Itamiya; Keiichi Akita – Anatomical Sciences Education, 2025
3D visualization tools have been developed to assist in the anatomical learning of medical students, but the evidence on the effectiveness of these tools is inconsistent. Conventional 3D materials are often displayed on 2D screens, which can limit their educational impact. This study evaluates the effectiveness of the presentation of 3D learning…
Descriptors: Computer Simulation, Visualization, Anatomy, Instructional Materials
Elisabeth Baland; Lucía Pérez Jimenez; André Mateus – Biochemistry and Molecular Biology Education, 2025
The function of proteins is governed by their three-dimensional structure. This structure is determined by the chemical characteristics and atomic interactions of amino acids. Students of biochemistry, with a particular focus on protein chemistry, benefit from looking at protein structures and understanding how proteins are built and fold. Due to…
Descriptors: Molecular Structure, Visualization, Courseware, Scientific Concepts
Xiaohong Liu; Jon-Chao Hong; Xingyu Geng; Li Zhao – International Journal of Technology and Design Education, 2025
The COVID-19 pandemic has brought unprecedented challenges to teachers. Teachers need a creative way to continue the engaged teaching process under the constraints of physical separation, emotional anxiety, and insecurity. Technology teachers who develop students' technology literacy or skills should be aware of the importance of integrating…
Descriptors: High School Teachers, Creative Thinking, Technology Education, Instructional Design
Jihyun Rho; Martina A. Rau; Barry Van Veen – Journal of Engineering Education, 2025
Background: Visual representations are pervasive in electrical engineering instruction in various instructional settings. Further, electrical engineering instruction often requires students to extend simple visual representations to learn about more complex visualization in subsequent instruction. Yet, students often struggle to understand…
Descriptors: Engineering Education, Undergraduate Students, Learning Processes, Learning Strategies
Xiaoqing Xu; Nuo Cheng; Jinhong Tao; Lifang Qiao; Hongxia Liu; Wei Zhao; Xiaoqing Guo – Asia-Pacific Education Researcher, 2025
Self-regulated learning is among the most important factors affecting learning outcomes in the digital age. Visualization feedback is widely used to support students' self-regulated learning. However, low motivation often leads to insufficient self-regulated learning engagement. Therefore, based on achievement goal theory, this study developed…
Descriptors: Self Management, Learning Strategies, Student Motivation, Undergraduate Students
Ting Jun Lin; Jeffrey Buckley; Lena Gumaelius; Ernest Ampadu – International Journal of Technology and Design Education, 2025
Spatial ability has been demonstrated to be a significant predictor of students' achievement in science, technology, engineering, and mathematics education. While several studies have focused on offering supplementary or isolated spatial training interventions, this study focuses on spatial ability development through embedded interventions within…
Descriptors: Spatial Ability, Skill Development, Technology Education, Handicrafts
Michelle Chavey; Mackenzie Cox – Educational Considerations, 2025
This qualitative research study explores the use of a new belief-based visioning tool as a component of co-creating new learning environments. It examines the perceptions of educators from a Midwestern suburban school district working with an architectural firm to design a new middle school. The study was designed as a participatory evaluative…
Descriptors: Educational Environment, Suburban Schools, School Districts, Middle Schools
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
The Impact of Visualizations with Learning Paths on College Students' Online Self-Regulated Learning
Xiaoqing Xu; Wei Zhao; Yue Li; Lifang Qiao; Jinhong Tao; Fengjuan Liu – Education and Information Technologies, 2025
The success of online learning relies on college students' self-regulated learning. The common visualizations (e.g., presentation learning behaviors' frequency and duration) are widely used to enhance online self-regulated learning. But most college students still have difficulty in accurately understanding their learning patterns and…
Descriptors: Individualized Instruction, Electronic Learning, College Students, Visualization
Athitaya Nitchot; Lester Gilbert – Education and Information Technologies, 2025
Learning programming is a complex process that requires understanding abstract concepts and solving problems efficiently. To support and motivate students, educators can use technology-enhanced learning (TEL) in the form of visual tools for knowledge mapping. Mytelemap, a prototype tool, uses TEL to organize and visualize information, enhancing…
Descriptors: Learning Motivation, Concept Mapping, Programming, Computer Science Education
Changhao Liang; Peixuan Jiang; Kensuke Takii; Hiroaki Ogata – Australasian Journal of Educational Technology, 2025
Collaborative learning in tertiary education faces challenges such as limited teacher intervention and effective student pairing. This study addresses these issues by proposing a data-driven peer recommendation approach enhanced with learner profile visualisation. The system dynamically matches students based on evolving learning profiles, using…
Descriptors: Cooperative Learning, Peer Relationship, College Students, Peer Evaluation
Megan Johnson; Brian Davis; Gerard Guillot; Emily Porta-Miller; Jennifer Brueckner-Collins – Anatomical Sciences Education, 2025
A deep understanding of pelvic floor anatomy requires a three-dimensional visualization of the spatial relationships among pelvic neurovasculature, soft tissue structures, and bony landmarks, which are highly complex and difficult to comprehend solely through traditional teaching methods such as didactic lectures and anatomical dissection. This…
Descriptors: Teaching Methods, Computer Peripherals, Printing, Anatomy
ScottP. Buzzolani; Matthew J. Mistretta; Aleksandra E. Bugajczyk; Arun J. Sam; Samantha R. Elezi; Daniel L. Silverio – Journal of Chemical Education, 2025
The ability to extract structural information from a drawing of a molecule is key to being successful in organic chemistry. One source of difficulty for novices in interpreting structures is that hydrogens bound to carbon are represented implicitly in the often-used line-angle structures. Other representations that explicitly show hydrogens, such…
Descriptors: Undergraduate Students, Science Instruction, Chemistry, Organic Chemistry
Chelsey Legacy; Andrew Zieffler; V. N. Vimal Rao; Robert Delmas – Statistics Education Research Journal, 2025
As ideas from data science become more prevalent in secondary curricula, it is important to understand secondary teachers' content knowledge and reasoning about complex data structures and modern visualizations. The purpose of this case study is to explore how secondary teachers make sense of mappings between data and visualizations, especially…
Descriptors: Secondary School Teachers, Visualization, Data, Data Use

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