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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
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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
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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
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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
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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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Feng, Xuanqi; Yamada, Masanori – Educational Technology & Society, 2021
It is challenging to utilize learning analytic technologies to examine gameplay log data for game-embedded assessment in the field of game-based learning. Analytical approaches based on a new perspective focusing on complicated contextual data are imperative in the current scenario. A relatively new concept called precision education, which…
Descriptors: Learning Analytics, Behavior Patterns, Informal Education, Game Based Learning
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Serra, Judit; Gilabert, Roger – British Journal of Educational Technology, 2021
Recent years have seen a surge of calls for personalization of education. Automatised adaptivity in serious games has been advocated as a potential instantiation of such calls. Yet little is known about the extent to which personalised learning through automatised adaptivity poses an advantage for language learning over generalised teacher-led…
Descriptors: Educational Games, Computer Games, Second Language Instruction, English (Second Language)
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Walsh, Rupert – Advances in Language and Literary Studies, 2021
Mobile Assisted Language Learning (MALL) is now common in extra-curricular language learning, but, more recently, teachers have increasingly sought ways to utilise MALL as a communicative classroom tool. Research into the extent that MALL can transform a whole communicative language course, and learners' impressions of such courses, is scarce.…
Descriptors: Teaching Methods, Communicative Competence (Languages), Computer Assisted Instruction, Telecommunications