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Danielle Herro; Golnaz Arastoopour Irgens; Jeremiah Akhigbe; McKenzie Martin Rowland – Journal of Digital Learning in Teacher Education, 2025
Preparing elementary-aged children to practice data science literacies is important and understudied. Our research investigates how data science curricula might be effectively designed and integrated into elementary classroom instruction. We use narrative case study methodology, focusing on a single case detailing a second-grade teacher's approach…
Descriptors: Data Science, Computer Games, Handheld Devices, Grade 2
Sinem Aslan; Lenitra M. Durham; Nese Alyuz; Rebecca Chierichetti; Pete A. Denman; Eda Okur; David I. Gonzalez Aguirre; Julio C. Zamora Esquivel; Hector A. Cordourier Maruri; Sangita Sharma; Giuseppe Raffa; Richard E. Mayer; Lama Nachman – British Journal of Educational Technology, 2024
Previous research showed that the parents acknowledged the technology's benefits for their young children's learning, however, they are still worried about the extended screen time, lack of physical activity and lack of social interactions. To address these concerns, we developed Kid Space to enable pedagogically appropriate technology use for…
Descriptors: Parents, Young Children, Artificial Intelligence, Interpersonal Communication
Project Tomorrow, 2025
In support of new local and state discussions about how to most effectively utilize technology in the classroom, Project Tomorrow, in collaboration with Spectrum Business®, is publishing a new series of reports that examine each of the three digital divides (the access, design and use divides) through the lens of the Speak Up Research findings.…
Descriptors: Technology Uses in Education, Access to Computers, Learning Processes, Educational Technology
Bang, Hee Jin; Li, Linlin; Flynn, Kylie – Early Childhood Education Journal, 2023
This study investigates whether using My Math Academy, which provides personalized content and adaptive embedded assessments to support existing curricula, can improve learning outcomes and engagement for kindergarten and first grade students (N = 505 treatment, 481 control). Findings indicate that students using My Math Academy made significant…
Descriptors: Mathematics Instruction, Computer Software, Learning Motivation, Learner Engagement
Kleinman, Erica; Shergadwala, Murtuza N.; Teng, Zhaoqing; Villareale, Jennifer; Bryant, Andy; Zhu, Jichen; Seif El-Nasr, Magy – Journal of Learning Analytics, 2022
Educational technology is shifting toward facilitating personalized learning. Such personalization, however, requires a detailed understanding of students' problem-solving processes. Sequence analysis (SA) is a promising approach to gaining granular insights into student problem solving; however, existing techniques are difficult to interpret…
Descriptors: Problem Solving, Learning Analytics, Decision Making, Educational Technology
Suijing Yang; Daniel Taylor-Griffiths; Fabienne van der Kleij; Pauline Taylor-Guy; Ralph Saubern – Australian Council for Educational Research, 2025
Many existing reviews of educational technologies focus on the affordances of specific types of technology rather than how different technologies can be designed and used to achieve specific teaching and learning objectives. Furthermore, there appears to be a widely held assumption that the use of educational technology will result in improved…
Descriptors: Teacher Empowerment, Educational Technology, Technology Uses in Education, Technology Integration
Linlin Li; Mingyu Feng; Hee Jin Bang – Society for Research on Educational Effectiveness, 2023
Background/Context: Mathematics education, especially at early grade levels, continues to be an important focus for national education improvement efforts, and more districts are introducing technology as part of their solution. Along with increasing consistent delivery of personalized and individualized learning to students, technology- and…
Descriptors: Mathematics Skills, Skill Development, Game Based Learning, Elementary School Students

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