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Oliver Herbort; Philipp Raßbach; Wilfried Kunde – Cognitive Research: Principles and Implications, 2024
Scrolling is a widely used mean to interact with visual displays, usually to move content to a certain target location on the display. Understanding how user scroll might identify potentially suboptimal use and allows to infer users' intentions. In the present study, we examined where users click on a scrollbar depending on the intended scrolling…
Descriptors: Foreign Countries, Adults, Computer Use, Computer Interfaces
Nikola Levkov; Bojan Kitanovikj – International Journal of Technology in Education, 2024
While the right usage of technology brings a plethora of benefits, misusing technological devices and the Internet in an educational context can manifest in different behavioral tendencies. This ranges from growing addiction to technology and cyberbullying to technological anxiety and technostress. Yet, the effects of cyberloafing on students'…
Descriptors: Foreign Countries, College Students, Social Media, Internet
Roland Gesthuizen; Hazel Tan; Gillian Kidman – International Research in Geographical and Environmental Education, 2025
This study explores the use of virtual worlds, specifically Minecraft, on sustainability education and cognitive skills. Using the Teaching to Inspire model as a lens, we examine how students design sustainable virtual buildings and cityscapes aligned with the UN Sustainable Development Goals and the social-ecological systems (SES) framework. Our…
Descriptors: Environmental Education, Sustainability, Video Games, Cognitive Processes
Jingjing Ma; Qingtang Liu; Shufan Yu; Xiaojuan Li; Jindian Liu – Educational Technology Research and Development, 2025
In science education, the abstraction and complexity of scientific concepts are usually stumbling blocks that prevent students from learning science. Recently, augmented reality (AR) has offered transformative potential to support scientific concept learning by visualizing scientific phenomena and enhancing students' experiences. However, the lack…
Descriptors: Scientific Concepts, Concept Mapping, Cognitive Structures, Cognitive Processes
Xiao-Rong Guo; Shao-Ying Gong; Si-Yang Liu; Jing Wang; Yan-Qing Wang; Xin Zhao – European Journal of Psychology of Education, 2025
Previous studies have pointed out that leisure motivational interference was an important factor affecting students' learning satisfaction. This study concentrates on three unexplored areas in the current literature on leisure motivational interference and learning satisfaction. Specifically, it is the first to (a) focus on the effects of digital…
Descriptors: Leisure Time, Student Motivation, College Students, Electronic Learning
Plamen V. Mirazchiyski; Vadim Gershteyn – Large-scale Assessments in Education, 2024
The Progress in International Reading Literacy Study (PIRLS) was conducted in paper and online reading modes in 2016 using the same samples of students in a number of countries. Differences in reading literacy scores were found in several European countries. In some countries, the differences favored the electronic reading mode. Yet in others, the…
Descriptors: Scores, Reading, Printed Materials, Electronic Books
Sapsaglam, Özkan; Birak, Esra – Malaysian Online Journal of Educational Technology, 2023
Today, due to various factors such as facilitation of access to digital technologies, widespread internet use, rapidly increasing urbanization, and digitization of education, children meet the screen at a much earlier age and screen usage times increase rapidly. Due to the COVID-19 pandemic affecting the whole world, the introduction of distance…
Descriptors: Preschool Children, Preschool Teachers, Kindergarten, Computer Use
Ricardo Alberto Reza Flores; Citlali Michélle Reza-Flores; Cristinao Galafassi; Abril Acosta-Ochoa; Rosa Maria Vicari – Journal of Pedagogy, 2025
This study examines how secondary-school students recognize and relate to artificial intelligence (AI) and the meanings they attribute to it in their everyday lives. Using a quantitative, descriptive, cross-sectional design, we explore the subjectivities of a purposive sample of 576 students from both public and private schools. The analysis…
Descriptors: Secondary School Students, Artificial Intelligence, Ethics, Moral Values
Ayse Tugba Öner – Journal of Inquiry Based Activities, 2025
This study aims to prepare statistics activity-targeting comprehension of the arithmetic mean, consisting of worked-out example explanations through ChatGPT for sixth graders; determine situations encountered during the implementation of the activity; ascertain the effect of the activity on students' mathematics problem-solving performance; and…
Descriptors: Statistics Education, Artificial Intelligence, Computer Uses in Education, Grade 6
Suggate, Sebastian Paul; Martzog, Philipp – Early Child Development and Care, 2022
During typical childhood interactions with screen-media, two features are prominent. First, input is dominated by audio-visual signals and second, these predominately provide children with ready-made images, potentially negating effortful mental imagery construction. We present a two-year longitudinal study on a sample of 109 preschool children.…
Descriptors: Preschool Children, Mass Media Use, Television Viewing, Video Games
Segaran, Jeevalata Sathera; Eu, Leong Kwan – Malaysian Online Journal of Educational Sciences, 2022
This study takes a closer look at Form Four students' initial mathematical modelling process when solving mathematical problems using GeoGebra. The modelling process was observed from cognitive perspective to learn the difficulties students faced during the process and the result would give ideas for intervention. Qualitative approach by using…
Descriptors: Mathematical Models, Problem Solving, Computer Software, Mathematics Skills
Urban-Rural Differences in Early Arithmetic Performance Are Accounted for by Phonological Processing
Wei Wei; Junyi Dai; Chuansheng Chen; Yingge Huang; Xinlin Zhou – Journal of Cognition and Development, 2024
Urban and rural children have different levels of performance in arithmetic processing. This study investigated whether such a residence difference can be explained by phonological processing. A total of 1,501 Chinese primary school students from urban and rural areas were recruited to complete nine cognitive tasks: two in arithmetic performance…
Descriptors: Rural Urban Differences, Arithmetic, Phonology, Language Processing
David James Woo; Deliang Wang; Kai Guo; Hengky Susanto – Education and Information Technologies, 2024
This mixed methods study explores EFL students' experiences and perceptions as they learn to write a composition with ChatGPT's support in a classroom instructional context. Students' perceptions are explored in terms of their motivation to learn about ChatGPT, cognitive load and satisfaction with the learning process. In a workshop format,…
Descriptors: Foreign Countries, Secondary School Students, Second Language Instruction, English (Second Language)
Angelica Ronconi; Lucia Mason; Lucia Manzione; Anne Schüler – Journal of Computer Assisted Learning, 2025
Background: During digital reading on internet-connected devices, students may be exposed to a variety of on-screen distractions. Learning by reading can therefore become a fragmented experience with potentially negative consequences for reading processes and outcomes. Objectives: This study investigated the effects of on-screen distractions, as…
Descriptors: Eye Movements, Electronic Learning, Computer Uses in Education, Reading
Zhao, Fang; Gaschler, Robert; Schnotz, Wolfgang; Wagner, Inga – Frontline Learning Research, 2020
Regulation of distance to the screen (i.e., head-to-screen distance, fluctuation of head-to-screen distance) has been proved to reflect the cognitive engagement of the reader. However, it is still not clear (a) whether regulation of distance to the screen can be a potential parameter to infer high cognitive load and (b) whether it can predict the…
Descriptors: Proximity, Computer Use, Learner Engagement, Cognitive Processes

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