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Alex Barrett; Fengfeng Ke; Nuodi Zhang; Chih-Pu Dai; Saptarshi Bhowmik; Xin Yuan; Sherry Southerland – Journal of Technology and Teacher Education, 2025
This case study reports on the perceptions and dialogic behaviors of 15 preservice K-12 teachers engaging in simulation-based teaching practice with AI-powered student agents. Data included transcripts of text-based classroom dialogue, interviews, observations, and conversation logs. Using mixed-methods analyses and a framework of ambitious…
Descriptors: Preservice Teachers, Artificial Intelligence, Computer Simulation, Dialogs (Language)
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Guozhu Ding; Mailin Li; Shan Li; Hao Wu – Asia Pacific Education Review, 2025
This study investigated the optimal feedback intervals for tasks of varying difficulty levels in online testing and whether task difficulty moderates the effect of feedback intervals on student performance. A pre-experimental study with 36 students was conducted to determine the delayed time for providing feedback based on student behavioral data.…
Descriptors: Feedback (Response), Academic Achievement, Computer Assisted Testing, Intervals
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Meija Lohiniva; Ville Isomöttönen – ACM Transactions on Computing Education, 2025
Context: Introductory programming courses often face high dropout and failure rates, a challenge widely addressed in computing education research. Collaborative methods, such as group work and pair programming, have been proposed as potential solutions, as they are believed to enhance students' study motivation. Objective: This article provides a…
Descriptors: Cooperative Learning, Student Motivation, Introductory Courses, Computer Science Education
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Dariusz Witko; Yair Levy; Catherine Neubauer; Gregory Simco; Laurie P. Dringus; Melissa Carlton – Journal of Cybersecurity Education, Research and Practice, 2025
The increasing volume of cyber threats, combined with a critical shortage of skilled professionals and rising burnout among practitioners, highlights the urgent need for innovative solutions in cybersecurity operations. Generative Artificial Intelligence (GenAI) offers promising potential to augment human analysts in cybersecurity, but its…
Descriptors: Computer Security, Competence, Artificial Intelligence, Expertise
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Lu Weikang; Li Shiyin; Qian Xiaomo – European Journal of Education, 2025
Generative artificial intelligence (GenAI) is reshaping the research paradigm of doctoral education, with growing evidence suggesting that the use of artificial intelligence (AI) tools could promote innovative behaviour among doctoral students. However, the use of AI tools in scientific research should be approached with special caution, as…
Descriptors: Artificial Intelligence, Computer Literacy, Doctoral Students, Innovation
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Sandip Kumar Sarkar – International Journal of Information and Learning Technology, 2025
Purpose: Digital platforms and apps utilize a range of engaging features, structural guidance and algorithms to create and sustain immersive experiences. While immersion is crucial for captivation, initial adoption and early app use, limited research has explored its role in post-adoption behavior and habit formation. This study investigates these…
Descriptors: Intention, Behavior, Habit Formation, Interaction
US House of Representatives, 2025
This document records testimony from a hearing before the Subcommittee on Early Childhood, Elementary, and Secondary Education of the Committee on Education and Workforce about the impact of artificial intelligence (AI) on K-12 education. Opening statements were presented by: (1) Honorable Kevin Kiley, Chairman, Subcommittee on Early Childhood,…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Influence of Technology, Computer Uses in Education
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Buditjahjanto, I. Gusti Putu Asto – Journal of Technology and Science Education, 2022
The use of simulation tools has been widely used to learn something. Simulation tools have the advantage of imitating a process similar to the actual situation. But there are only a few researches that examine the students' engagement in using simulation tools in the learning process so that it affects the student learning outcomes. This research…
Descriptors: Computer Interfaces, Computer Simulation, Computer Uses in Education, Electronic Learning
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Doewes, Afrizal; Kurdhi, Nughthoh Arfawi; Saxena, Akrati – International Educational Data Mining Society, 2023
Automated Essay Scoring (AES) tools aim to improve the efficiency and consistency of essay scoring by using machine learning algorithms. In the existing research work on this topic, most researchers agree that human-automated score agreement remains the benchmark for assessing the accuracy of machine-generated scores. To measure the performance of…
Descriptors: Essays, Writing Evaluation, Evaluators, Accuracy
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Räty, Lauri M. O.; Vehkakoski, Tanja; Pirttimaa, Raija A. – Journal of Intellectual Disabilities, 2023
Self-assessment has been shown to have positive effects on students' self-regulated learning strategies and academic achievement. However, self-assessment and self-assessment instruction are under-researched areas among students with intellectual disability. This data-driven qualitative study aimed at examining the self-assessment expressions…
Descriptors: Intellectual Disability, Self Evaluation (Individuals), Tablet Computers, Students with Disabilities
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Haverkamp, Ymkje E.; Bråten, Ivar; Latini, Natalia; Salmerón, Ladislao – Reading and Writing: An Interdisciplinary Journal, 2023
This study focused on the potential effects of screen size (smartphone vs. tablet) and text movement (scrolling vs. paging) on integrated understanding of text information, strategic backtracking, and intrinsic reading motivation when Norwegian university students read an informational text on either a smartphone or a tablet by either scrolling or…
Descriptors: Electronic Publishing, Handheld Devices, Laptop Computers, Computer System Design
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Ma, RunTao; Ma, Runchun – Education and Information Technologies, 2023
The research objectives are as follows: to consider the possibilities of modern digital technologies in education; to assess the impact of digital technology on the study of a work of art. The study results show the advantages and disadvantages of the WeChat software and the MOOC application, obtained on the basis of a survey of students.…
Descriptors: Music Education, Musical Instruments, Educational Technology, MOOCs
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Watson, Joe; Baier, Jasmin; Mughogho, Winnie; Millrine, Mark – British Journal of Educational Technology, 2023
This paper contributes to the scarce literature on factors affecting EdTech use in households. These factors were considered through exploratory mixed-methods analyses of cross-sectional data on Kenyan girls and caregivers, captured during the COVID-19 pandemic. Quantitative analysis of the child dataset (n = 544) suggested the importance of both…
Descriptors: Foreign Countries, Females, Children, Child Caregivers
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Saputra, H.; Suhandi, A.; Setiawan, A.; Permanasari, A.; Firmansyah, J. – Physics Education, 2023
This study proposes an online practicum model supported by Wireless Sensor Network (WSN) to implement a physics practicum after the COVID-19 Pandemic. This system is guided by exploratory inquiry questions to help structure students' mindsets in answering investigative questions. Online practicum is also integrated with video conferencing, chat,…
Descriptors: Science Tests, Computer Assisted Testing, Physics, Practicums
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Merdin, Esra; Sahin, Volkan – Journal of Learning and Teaching in Digital Age, 2023
Today's children are born and raised in media-saturated environments, surrounded by televisions, computers, tablets, smartphones, and other portable electronic devices. Because these devices have become an indispensable part of everyday life, they have a significant influence on children's entertainment and leisure, as well as their education.…
Descriptors: Young Children, Computer Use, Television Viewing, Telecommunications
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