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Carolien A. N. Knoop-van Campen; Joep van der Graaf; Anne Horvers; Rianne Kooi; Rick Dijkstra; Inge Molenaar – Journal of Computer Assisted Learning, 2024
Background: Even though monitoring and control enactment are key aspects of self-regulated learning (SRL), Adaptive learning technologies (ALTs) may reduce the need for learners to monitor and control their learning. Personalized dashboards are effective in supporting learners' monitoring and can potentially support control behaviour. Allowing…
Descriptors: Elementary School Students, Grade 5, Educational Technology, Technology Uses in Education
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
Gürbüzer, Sümeyra; Çite, Hakan; Alkis Küçükaydin, Mensure – International Journal of Modern Education Studies, 2022
The role and importance of technology applications in increasing the cognitive and affective learning of students have been accepted. For this reason, it has been considered important to use different materials and various educational technologies in the preparation of active learning environments. In this context, the effect of the use of the…
Descriptors: Elementary School Students, Grade 4, Social Studies, Student Attitudes
Xintian Tu – ProQuest LLC, 2024
This dissertation investigates how embodied learning within a Mixed Reality (MR) environment supports young children's science learning, focusing on a honeybee system. To do so, I designed three types of activities within an MR environment to enable young children to assume different perspectives as they create embodied models of honeybees as…
Descriptors: Young Children, Computer Simulation, Science Education, Learning Processes
Basar, Tarik – Participatory Educational Research, 2022
This research aimed to determine the effect of digital stories on 3rd grade students' achievement, attitudes, and motivation in science lesson. For this purpose, explanatory sequential design, one of the mixed methods, was used in the research. The study group, composed of primary school 3 rd grade students, was identified via convenience sampling…
Descriptors: Foreign Countries, Elementary School Students, Story Telling, Technology Uses in Education
Quadros-Flores, Paula; Gonçalves, Daniela Ramos; Ramos, Altina – Digital Education Review, 2022
Knowing that the Internet has opened doors to information and to the possibility of ubiquitous communication, there is now a need to review ways of teaching and learning. Learning to learn assumes a significant predominance in the methodological design due to the centrality of the student in the learning process. In this sense, this study aims to…
Descriptors: Technology Uses in Education, Learning Processes, Early Childhood Education, Student Teachers
Fatimah H. Aldeeb; Omar M. Sallabi; Monther M. Elaish; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Liu, Zhe – International Journal of Web-Based Learning and Teaching Technologies, 2023
As a stakeholder group in the promotion of basic education informatization, parents' attitudes towards children's informatization learning is an important factor affecting the smooth development of school informatization teaching. Based on the classic convolutional neural network and CK+ dataset, this paper proposes a convolutional neural network…
Descriptors: Parent Attitudes, Information Seeking, Learning Processes, Teaching Methods
Angela Maize – ProQuest LLC, 2024
In 2019, a coronavirus strand, SARS-CoV-2, caused a global pandemic of respiratory illness, also referred to as the coronavirus (COVID-19). The U.S. government implemented massive school closures as a non-pharmaceutical intervention to mitigate the spread of the virus. The abrupt pivot to the asynchronous learning model resulted in low levels of…
Descriptors: Learner Engagement, Learning Processes, Asynchronous Communication, Public Schools
Shaoyu Hu – Interactive Learning Environments, 2023
The work aims at improving Chinese music lessons using multimedia technologies. In this regard, the authors applied some testing methods, as well as statistical calculations. The research process involved 160 Chinese school and university students. The test results showed that the main percentage of the respondents had an average level of…
Descriptors: Foreign Countries, College Freshmen, Music Education, Elementary School Students
Mazhar Bal; Emre Öztürk – British Educational Research Journal, 2025
The purpose of this study is to examine the relationship between technology-supported writing instruction at the K-12 level and deep learning approaches and to understand the trends in this field. In the study, 12 articles selected from Web of Science, Scopus, ERIC and EBSCO databases were systematically analysed. The findings reveal that the…
Descriptors: Learning Processes, Writing Processes, Writing Skills, Writing Instruction
Yun Dai; Ziyan Lin; Ang Liu; Wenlan Wang – British Journal of Educational Technology, 2024
While AI has become more prevalent in our society than ever, many young learners are found holding various naive, erroneous conceptions of AI due to the influence of their technology and media environments. To address this issue, this study seeks to propose a novel pedagogical solution to improve upper-elementary school students' scientific…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Education, Elementary School Students
Jung, Sung Eun; Lee, Kyunghwa; Cherniak, Shara; Cho, Eunji – Technology, Knowledge and Learning, 2020
This case study focused on the robotics learning process of Mark (a pseudonym), a Latino-American second grader diagnosed with autism spectrum disorder. Drawing on Polanyi's (Personal knowledge: towards a post-critical philosophy [Kindle version], 1958/2015) notion of "tacit knowing" and "dwelling in tools," we attempted to…
Descriptors: Robotics, Technology Uses in Education, Autism, Pervasive Developmental Disorders
Jaeho Jeon – Computer Assisted Language Learning, 2024
Professionals within the field of language learning have predicted that chatbots would provide new opportunities for the teaching and learning of language. Despite the assumed benefits of utilizing chatbots in language classrooms, such as providing interactional chances or helping to create an anxiety-free atmosphere, little is known about…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Learning Analytics, Computer Software
Forbes, Anne; Falloon, Garry; Stevenson, Michael; Hatzigianni, Maria; Bower, Matt – Early Education and Development, 2021
Research Findings: This study was undertaken to investigate learning processes and outcomes from using 3D design and printing technologies with children aged 5-8 years, in three schools in a metropolitan city in Australia. Data were collected from five sources (teacher interviews, surveys, journals; student interviews; and iPad screen recordings)…
Descriptors: STEM Education, Technology Uses in Education, Foreign Countries, Elementary School Students