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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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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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Eidenskog, Maria; Leifler, Ola; Sefyrin, Johanna; Johnson, Ericka; Asplund, Mikael – International Journal of Sustainability in Higher Education, 2023
Purpose: The information technology (IT) sector has been seen as central to society's transformation to a more just and sustainable society, which underlines teachers' responsibility to foster engineers who can contribute specifically to such ends. This study aims to report an effort to significantly update an existing engineering programme in IT…
Descriptors: Educational Change, Sustainability, Computer Science Education, Curriculum Implementation
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Gawlik-Kobylinska, Malgorzata – Interactive Learning Environments, 2023
The Proteus effect of exergames has been widely regarded as a factor that influences human performance and learning. Within the context of security and defense exergames, identification with a digital alter-ego affects students' task performance as well as their emotional states. In the present study, we examined the influence of the perceived…
Descriptors: Computer Games, Computer Simulation, Physical Fitness, Masculinity
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Hernández-Pérez, Manuel; Pérez-Sirvent, Carmen; Martínez Sánchez, María-José; Jordán González, Esteban – Applied Environmental Education and Communication, 2023
LIFE-AMDRYC4 (2021) is a VR application designed for mobile phones combining informational design and gamification to stimulate critical reflection and awareness about agricultural practices and their effects on the environment. Agile production frameworks and researchers' input in the design are discussed. A Likert-based questionnaire was…
Descriptors: Visualization, Climate, Environmental Education, Educational Games
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Jinga, Maria-Ruxandra; Lee, Rachel B. Y.; Chan, Kai Lok; Marway, Prabhvir S.; Nandapalan, Krishan; Rhode, Kawal; Kui, Christopher; Lee, Matthew – Anatomical Sciences Education, 2023
Three-dimensional (3D) segmentation, a process involving digitally marking anatomical structures on cross-sectional images such as computed tomography (CT), and 3D printing (3DP) are being increasingly utilized in medical education. Exposure to this technology within medical schools and hospitals remains limited in the United Kingdom. M3dicube UK,…
Descriptors: Computer Simulation, Computer Peripherals, Printing, Anatomy
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