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Qingchuan Li; Yan Luximon; Jiaxin Zhang; Yao Song – British Journal of Educational Technology, 2024
Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handwriting
Yun Wen; Mingming Chiu; Xinyu Guo; Zhan Wang – British Journal of Educational Technology, 2025
In this exploratory mixed-methods study, we introduce and test our AI-powered vocabulary learning system--ARCHe, which embeds four AI functions: (1) automatic feedback towards for pronunciation, (2) automatic feedback for towards handwriting, (3) automatic scoring for student-generated sentences and (4) automatic recommendations. Specifically, our…
Descriptors: Artificial Intelligence, Elementary School Students, Elementary School Teachers, Teaching Methods
Ozdowska, Anne; Wyeth, Peta; Carrington, Suzanne; Ashburner, Jill – British Journal of Educational Technology, 2021
Children on the autism spectrum (AS) often struggle with writing tasks at school. They commonly experience difficulty with two key aspects of writing: the skills required for handwriting (fine motor and perceptual) and the conceptual and language skills required for written composition. Specialist intervention to assist with written expression is,…
Descriptors: Autism, Pervasive Developmental Disorders, Writing (Composition), Writing Skills
Lin, John J. H.; Lin, Sunny S. J. – British Journal of Educational Technology, 2018
To deepen our understanding of those aspects of problems that cause the most difficulty for solvers, this study integrated eye-tracking with handwriting devices to investigate problem solvers' online processes while solving geometry problems. We are interested in whether the difference between successful and unsuccessful solvers can be identified…
Descriptors: Eye Movements, Handwriting, High School Students, Geometry
Mogey, Nora; Fluck, Andrew – British Journal of Educational Technology, 2015
It seems anachronistic that we expect students to handwrite essay examinations when almost all their other work is mediated by computer. Two universities, one in the UK and one in Australia, are exploring the use of computers in free text response examinations. This paper compares both the attitudes and the behaviours of their students concerning…
Descriptors: Foreign Countries, Handwriting, Computer Uses in Education, Essays
Alcoholado, Cristián; Diaz, Anita; Tagle, Arturo; Nussbaum, Miguel; Infante, Cristián – British Journal of Educational Technology, 2016
This study aims to understand the differences in student learning outcomes and classroom behaviour when using the interpersonal computer, personal computer and pen-and-paper to solve arithmetic exercises. In this multi-session experiment, third grade students working on arithmetic exercises from various curricular units were divided into three…
Descriptors: Computer Uses in Education, Handwriting, Problem Solving, Arithmetic