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Cansu Cigdem Ekin; Ömer Faruk Cantekin; Elif Polat; Sinan Hopcan – Education and Information Technologies, 2025
Artificial Intelligence in Education (AIED) is a broad and multifarious area of study that spans across various academic fields. Due to the high numbers of studies in this field, it seems too challenging to analyze all of them in depth in a single study. Additionally, there is a lack of research that provides a comprehensive overview of the main…
Descriptors: Artificial Intelligence, Computer Uses in Education, Educational Trends, Educational Research
Oriane Pierrès; Alireza Darvishy; Markus Christen – Education and Information Technologies, 2025
The release of a free generative artificial intelligence (GAI), ChatGPT, in November 2022 has opened up numerous opportunities for students with disabilities in higher education. While the transformative impact of GAI on teaching and learning in general is being debated intensively, little attention has been given to its potential for fostering or…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Students with Disabilities
Vandana Onker; Krishna Kumar Singh; Hemraj Shobharam Lamkuche; Sunil Kumar; Vijay Shankar Sharma; Chiranji Lal Chowdhary; Vijay Kumar – Education and Information Technologies, 2025
Predicting academic performance in Educational Data Mining has been a significant research area. This involves utilizing machine learning techniques to analyze data from educational settings. Predicting student academic performance is a complex task due to the influence of multiple factors. This research uses supervised machine-learning approaches…
Descriptors: Foreign Countries, Artificial Intelligence, Academic Achievement, Grades (Scholastic)
Rune Johan Krumsvik – Education and Information Technologies, 2025
This exploratory case study examines how AI technologies, specifically a GPT-4-based synopsis chatbot, can serve as a sparring partner for doctoral students in Norway. Despite favourable conditions, only two-thirds of Norwegian PhD candidates complete their doctorates, partly due to challenges with article-based dissertations that require a…
Descriptors: Doctoral Students, Artificial Intelligence, Academic Language, Computer Uses in Education
Lihui Sun; Liang Zhou – Education and Information Technologies, 2025
Generative Artificial Intelligence (GenAI) has fundamentally transformed the education landscape, offering unprecedented potential for personalized learning and enhanced teaching methods. This research conducted two sub-studies aimed at exploring the influences and differences in college students' attitudes towards generative artificial…
Descriptors: Artificial Intelligence, Computer Uses in Education, Computer Attitudes, Student Attitudes
Bambang Sulistio; Arief Ramadhan; Edi Abdurachman; Muhammad Zarlis; Agung Trisetyarso – Education and Information Technologies, 2024
Computer science development, especially machine learning, is a thriving innovation essential for education. It makes the process of teaching and learning more accessible and manageable and also promotes equality. The positive influence of machine learning can also be felt in Islamic studies, particularly in Hadith studies. This literature review…
Descriptors: Electronic Learning, Artificial Intelligence, Computer Uses in Education, Islam
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
Ran Liu; Wei Pang; Junming Chen; Vishalache A. P. Balakrishnan; Hai Leng Chin – Education and Information Technologies, 2025
In the context of globalization, adapting to modern educational needs and adopting innovative teaching methods have become increasingly crucial, particularly in the field of children's aesthetic education. This study explores the integration of scaffolding instruction and AI-driven diffusion models in children's aesthetic education, with a special…
Descriptors: Scaffolding (Teaching Technique), Artificial Intelligence, Aesthetic Education, Asian Culture
Qi Zhou; Wannapon Suraworachet; Mutlu Cukurova – Education and Information Technologies, 2024
Collaboration is argued to be an important skill, not only in schools and higher education contexts but also in the workspace and other aspects of life. However, simply asking students to work together as a group on a task does not guarantee success in collaboration. Effective collaborative learning requires meaningful interactions among…
Descriptors: Learning Analytics, Cooperative Learning, Nonverbal Communication, Speech Communication
Shuwen Zhai; Shuaiqing Zhang; Yi Rong; Gan Rong – Education and Information Technologies, 2025
Mental well-being holds paramount importance and its relevance within the realm of higher education is undeniable. The academic journey often brings about unique challenges, stressors, and transitions that can impact students' mental health (MH). This study explores the impact of Artificial Intelligence (AI) and MH education within higher…
Descriptors: Artificial Intelligence, Mental Health, Health Education, Computer Uses in Education
Sood, Sakshi; Saini, Munish – Education and Information Technologies, 2021
For a productive life, education plays a critical role to fill individual life with value and excellence. Education is compulsory to provide things that individuals partake in to compete in the modern world. Predicting the academic performance of the student is the most successive research in this era. A different set of approaches and methods are…
Descriptors: Multivariate Analysis, Artificial Intelligence, Academic Achievement, Prediction
David James Woo; Deliang Wang; Kai Guo; Hengky Susanto – Education and Information Technologies, 2024
This mixed methods study explores EFL students' experiences and perceptions as they learn to write a composition with ChatGPT's support in a classroom instructional context. Students' perceptions are explored in terms of their motivation to learn about ChatGPT, cognitive load and satisfaction with the learning process. In a workshop format,…
Descriptors: Foreign Countries, Secondary School Students, Second Language Instruction, English (Second Language)
Taçgin, Zeynep; Arslan, Ahmet – Education and Information Technologies, 2017
The purpose of this study is to determine perception of postgraduate Computer Education and Instructional Technologies (CEIT) students regarding the concepts of Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), Augmented Virtuality (AV) and Mirror Reality; and to offer a table that includes differences and similarities between…
Descriptors: Graduate Students, Student Attitudes, Computer Science Education, Educational Technology