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Gulzhanar Arynova; Gulnar Uaisova; Aigul Zhumadullayeva; Sholpan Kalbergenova; Maryam Bekbaeva – Journal of Education and e-Learning Research, 2023
The development of social intelligence is a delicate issue among teenagers. Insufficient social intelligence leads to social disorientation which may impede students' capacity to grow positively and to understand the reasons for their actions and the logic of the development of complex situations of interpersonal interaction. This study aims to…
Descriptors: Influence of Technology, Technology Uses in Education, Interpersonal Competence, Intelligence
Ryan Arellano; Mary C. Franitza; Jin Sook Lee – Journal of Educators Online, 2023
The role of graduate students in undergraduate students' learning experiences is often overlooked despite the fact graduate students are usually the ones that work most closely with undergraduates in courses. As the world shifted to online education during the COVID-19 pandemic, instructors had to quickly learn to teach via online platforms. This…
Descriptors: Graduate Students, Teaching Assistants, Student Role, Student Attitudes
Allan Barsky; Danielle Groton; Christine Spadola – Educational Policy, 2025
This study explores the impact of Florida House Bill 233 on teaching and learning in Florida's State University System. This bill purports to promote intellectual freedom and viewpoint diversity by permitting students to record classes and by creating a cause of action for faculty violating these principles. Faculty were invited to share…
Descriptors: State Universities, State Legislation, Intellectual Freedom, Diversity
Yu-Shan Chang – Journal of Computer Assisted Learning, 2025
Background: Due to the rapid development of artificial intelligence (AI) and the widespread adoption of online learning post-COVID-19, the metaverse has become an important strategy for innovative teaching. Objectives: This study aimed to investigate the impact of the metaverse on learning engagement, learning emotions, and creative performance in…
Descriptors: Learner Engagement, Psychological Patterns, Emotional Response, Artificial Intelligence
Yu Song; Longchao Huang; Lanqin Zheng; Mengya Fan; Zehao Liu – International Journal of Educational Technology in Higher Education, 2025
This study explores the effectiveness of chatbots empowered by generative artificial intelligence (GAI) in assisting university students' creative problem-solving (CPS). We used quasi-experiments to compare the performance of dialogue dynamics, learner perceptions, and practical competencies in CPS during students' interactions with: (1) a GAI…
Descriptors: Artificial Intelligence, Graduate Students, Student Behavior, Creativity
Shenzhong Yan; Daner Sun; Qing Zhou; Yuqin Yang; Peiyao Tian – Journal of Computing in Higher Education, 2025
The study of pedagogical design and development for virtual laboratory in science education in higher education is limited. Few tailored pedagogical approaches have been adopted for developing students higher order thinking (i.e. reflective thinking skills) in virtual laboratory enabled learning in the university level. For addressing these, this…
Descriptors: Influence of Technology, Virtual Classrooms, Laboratories, Reflection
Ching-Yi Chang; Hui-Chen Lin; Chengjiu Yin; Kai-Hsiang Yang – Educational Technology & Society, 2025
The emergence of Generative AI such as ChatGPT--a cutting-edge pre-trained language model--has garnered unprecedented attention from educational researchers worldwide. Its remarkable performance in knowledge generation and natural language dialogue has sparked global scholarly interest in its implications for education. Research on higher-order…
Descriptors: Artificial Intelligence, Thinking Skills, Skill Development, Reflection
Julia Jochim; Vera Kristina Lenz-Kesekamp – Information and Learning Sciences, 2025
Purpose: Large language models such as ChatGPT are a challenge to academic principles, calling into question well-established practices, teaching and exam formats. This study aims to explore the adaptation process regarding text-generative artificial intelligence (AI) of students and teachers in higher education and to identify needs for change.…
Descriptors: Artificial Intelligence, Student Needs, Higher Education, Technology Uses in Education
Sriram Sampath – Higher Education for the Future, 2025
Artificial intelligence (AI) has been put forth as a technological innovation which can change the way in which healthcare will be delivered in the near future. AI developers plan to deploy tools that will aid diagnosis, improve therapy, minimize errors, increase safety, and optimize systems and bring down costs. In addition, a paradigmatic shift…
Descriptors: Artificial Intelligence, Health Services, Technological Advancement, Innovation
Zuhan Liu; Lili Wang – Education and Information Technologies, 2025
With the continuous development of embodied cognition theory and virtual reality (VR) technology, its application in teaching has been paid more and more attention by researchers. However, there are still few practical studies on the combination of VR technology and embodied learning. Starting from literature research, the paper analyzes the…
Descriptors: Cognitive Processes, Computer Simulation, Human Body, Experiential Learning
Elisabeth Bauer; Samuel Greiff; Arthur C. Graesser; Katharina Scheiter; Michael Sailer – Educational Psychology Review, 2025
Artificial intelligence (AI) holds significant potential for enhancing student learning. This reflection critically examines the promises and limitations of AI for cognitive learning processes and outcomes, drawing on empirical evidence and theoretical insights from research on AI-enhanced education and digital learning technologies. We critically…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Learning Processes
Norah Basheer Alotaibi – Education and Information Technologies, 2025
Information and Communication Technology (ICT) has profoundly impacted social, psychological, and physical well-being, presenting positive and negative effects. This study primarily explores the negative aspects, specifically technostress, and its influence on mobile learning (m-learning) among university students, a crucial area with limited…
Descriptors: Electronic Learning, Academic Achievement, Undergraduate Students, Foreign Countries
Richard Brown; Elizabeth Sillence; Dawn Branley-Bell – Journal of Educational Technology Systems, 2025
We investigate perceptions of AI among university students and staff, focusing on sociodemographic predictors of use, attitudes and literacy. We follow an explanatory mixed-methods approach: an online survey (269 students and staff) capturing self-reported AI use, attitudes, and literacy, and 24 semi-structured online interviews exploring barriers…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
Sankaranarayanan Paleeri; Sneha Parambath – Journal of Educational Technology, 2025
This study explored the perceptions of learners, teachers, and administrators on the role of artificial intelligence (AI) in the higher secondary school education scenario of Kerala. The study was a comprehensive survey, and sample groups included 360 students, 60 teachers, and 5 administrators. Both qualitative methods and quantitative techniques…
Descriptors: Artificial Intelligence, Computer Uses in Education, Student Attitudes, Teacher Attitudes
Ueli Thomas Studhalter; Priska Jossen; Marco Seeli; Annette Tettenborn – Early Childhood Education Journal, 2025
Engaging in vivid conversations is crucial for the social and cognitive development of young children and for building their understanding of science phenomena. In this regard, educators play a pivotal role in shaping interactions with learners by providing adequate scaffolds to promote sustained shared thinking. Tablet computers are considered to…
Descriptors: Foreign Countries, Preschool Teachers, Kindergarten, Early Childhood Education

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