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Weijiao Huang; Khe Foon Hew – IEEE Transactions on Learning Technologies, 2025
In an online learning environment, both instruction and assessments take place virtually where students are primarily responsible for managing their own learning. This requires a high level of self-regulation from students. Many online students, however, lack self-regulation skills and are ill-prepared for autonomous learning, which can cause…
Descriptors: Independent Study, Interpersonal Relationship, Electronic Learning, Computer Software
Burç Çeken; Nazim Taskin – Journal of Computer Assisted Learning, 2025
Background: Multimedia learning, encapsulating both visual and verbal information, has become pivotal in educational settings, with extensive research underscoring its influence. However, a notable research gap exists concerning the application and effectiveness of multimedia learning principles, precisely segmenting, pre-training and modality,…
Descriptors: Multimedia Instruction, Computer Simulation, Educational Environment, Instructional Effectiveness
Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
David R. Firth; Adam Gonzales; Michelle Louch; Bryan Hammer – Information Systems Education Journal, 2025
ChatGPT is having an impact on students, and information systems (IS) and computing academic professionals alike. Our goal for this paper is to help faculty and students know the conditions in which generative AI such as ChatGPT should or should not be used. To that end, we describe the development of a 2x2 matrix. On the horizontal axis we have…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Information Systems
Desy K. Sari; Supahar Supahar; Dadan Rosana; Pri A. C. Dinata; Muhammad Istiqlal – Journal of Pedagogical Research, 2025
As artificial intelligence [AI] increasingly permeates various sectors--including education, economics, healthcare, and government--a comprehensive understanding of this technology becomes essential. This analysis aims to identify four dimensions of AI literacy--awareness, usage, evaluation, and ethics--among Indonesian higher education students…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Foreign Countries
Weiting Yuan – Studies in Applied Linguistics & TESOL, 2025
Few studies have considered the micro-analysis of written laughter in the digital world in its sequential context (beyond frequency and distribution). The present study fills this gap by examining "transcribed" laughter "[Chinese symbols omitted](haha)" in Chinese conversations on WeChat from a conversation analytic…
Descriptors: Computer Software, Computer Mediated Communication, Chinese, Orthographic Symbols
Congzhi Ma; Gabriella Haire; Sara Smith; Nigel Newbutt – Technology in Language Teaching & Learning, 2025
Educational applications of virtual reality (VR) and augmented reality (AR) for English language learning have become increasingly prevalent in K-12 classroom contexts. These tools have enormous potential to provide unique learning experiences and increase students' engagement; however, the benefits depend on appropriate implementation and use.…
Descriptors: English (Second Language), Second Language Instruction, Computer Simulation, Computer Uses in Education
Yulu Cui; Hai Zhang – Education and Information Technologies, 2025
With the development of artificial intelligence technology, it has become increasingly difficult to distinguish between Artificial Intelligence Generated Content (AIGC) and non-AIGC. Inaccuracies in identifying AIGC in higher education may lead to academic misconduct and risks, and the credibility of AIGC is also subject to certain doubts. Users…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Identification
Linlin Hu; Hao Wang; Yunfei Xin – Education and Information Technologies, 2025
Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…
Descriptors: Foreign Countries, Preservice Teachers, Computer Attitudes, Technology Integration
Sigal Eden; Hila Tal – Journal of Learning Disabilities, 2025
This study focuses on the pervasive issues of cyberbullying and problematic internet use (PIU) among youth, particularly in children with disabilities. To elucidate the role of parents in mitigating these challenges, the study examines the prevalence of three parenting styles (permissive/authoritarian/authoritative), and their correlation with…
Descriptors: Parenting Styles, Bullying, Computer Mediated Communication, Computer Use
Julian Marvin Jörs; Ernesto William De Luca – Technology, Knowledge and Learning, 2025
The real-time availability of information and the intelligence of information systems have changed the way we deal with information. Current research is primarily concerned with the interplay between internal and external memory, i.e., how much and which forms of cognitively demanding processes we handle internally and when we use external storage…
Descriptors: Ethics, Learning Processes, Technology Uses in Education, Influence of Technology
Ahmad D. Suleiman; Daqing Hou; Yu Liu; Jan DeWaters; David C. Shepherd; Juliana G. De Souza – ACM Transactions on Computing Education, 2025
In recent years, there has been a rise in recognition of the need for computing education to bridge the gap between academia and industry. In addition, educational researchers are also interested in increasing student engagement by grounding learning experiences in real-life concerns, community issues, or personal interests. Unfortunately,…
Descriptors: Computer Science Education, Higher Education, Active Learning, Student Projects
Malina Abraham; Susanne Prediger – Digital Experiences in Mathematics Education, 2025
Digital multi-representation applets offer promising opportunities for promoting students' conceptual understanding by dynamically converting graphical and symbolic representations and for promoting discoveries and justifications of mathematical properties. However, learning effects of open-ended multi-representation applets seem to depend on…
Descriptors: Grade 5, Elementary School Students, Scaffolding (Teaching Technique), Multiplication
Matt Bower, Editor; Belinda von Mengersen, Editor – Routledge, Taylor & Francis Group, 2025
This book is a groundbreaking exploration of how to empower students as innovative creators in an increasingly technology-driven world. With rapid advancements in Artificial Intelligence and other technologies reshaping society, this text champions the critical role of creativity in education, explaining how teachers can equip learners with skills…
Descriptors: Technology Uses in Education, Educational Technology, Design, Artificial Intelligence
Lorien W. Cafarella – ProQuest LLC, 2023
Many middle school students come to Computer Science (CS) classes without any previous CS instruction or any Computational Thinking (CT) skills that are needed to be successful. To overcome this, many curriculums and programming environments have been used to engage students and to instill a love of CS. Which curriculum should be used to develop…
Descriptors: Middle School Students, Computer Science, Computer Science Education, Program Effectiveness

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