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Sghaier Guizani; Tehseen Mazhar; Tariq Shahzad; Wasim Ahmad; Afsha Bibi; Habib Hamam – Discover Education, 2025
Artificial intelligence-driven Chatbots, especially large language models (LLMs) like GPT-4, represent significant progress in digital education. These models excel in mimicking human-like text and transforming learning and teaching methods. This study examines the development, application, and impact of LLMs in education. It highlights their role…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Automation
Hemmler, Yvonne M.; Rasch, Julian; Ifenthaler, Dirk – TechTrends: Linking Research and Practice to Improve Learning, 2023
Educational recommender systems offer benefits for workplace learning by tailoring the selection of learning activities to the individual's learning goals. However, existing systems focus on the learner as the primary stakeholder of learning processes and do not consider the organization's perspective. We conducted a systematic review to develop a…
Descriptors: Workplace Learning, Educational Objectives, Educational Technology, Artificial Intelligence
Mary F. Rice; Shernette Dunn – Computers in the Schools, 2023
While Artificial Intelligence (AI) is emerging as assistive technology for students with identified disabilities there is a need to understand the present literature and set new directions for future study. There is also a need to consider how students that have been identified with disabilities and their families might be positioned by…
Descriptors: Computer Uses in Education, Artificial Intelligence, Students with Disabilities, Special Education
Santos, Glaucia Nize Martins; da Silva, Helbert Eustáquio Cardoso; Figueiredo, Paulo Tadeu de Souza; Mesquita, Carla Ruffeil Moreira; Melo, Nilce Santos; Stefani, Cristine Miron; Leite, André Ferreira – International Journal of Artificial Intelligence in Education, 2023
Background: Artificial intelligence (AI) is able to emulate human performance on a task and may improve the radiologists' work. This text and opinion review explored the implementation of AI in diagnostic radiology education curricula at pre-licensure training/education in healthcare. The question was: what are the pedagogical possibilities,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Clinical Diagnosis, Radiology
Fan Ouyang; Tuan Anh Dinh; Weiqi Xu – Journal for STEM Education Research, 2023
Artificial intelligence (AI), as an emerging technology, has been widely used in STEM education to promote the educational assessment. Although AI-driven educational assessment has the potential to assess students' learning automatically and reduce the workload of instructors, there is still a lack of review works to holistically examine the field…
Descriptors: Educational Assessment, Artificial Intelligence, STEM Education, Academic Achievement
Zheng, Lanqin; Niu, Jiayu; Zhong, Lu; Gyasi, Juliana Fosua – Interactive Learning Environments, 2023
Recently, artificial intelligence (AI) technologies have been widely used in the field of education, and artificial intelligence in education (AIEd) has gained increasing attention. However, no quantitative meta-analysis has been conducted on the overall effectiveness of AI on learning achievement and learning perception. To close this research…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Academic Achievement, Student Attitudes
Junhong Xiao – Open Praxis, 2024
Leveraging technology to break the iron triangle of access, cost, and quality is a legacy of open universities (OUs), becoming a source of inspiration for higher education in general. Today, OUs face increasing competition from conventional universities, no longer enjoying the first-mover advantages as they did in the earlier years. Can artificial…
Descriptors: Open Universities, Artificial Intelligence, Technology Uses in Education, Affordances
Elena Drugova; Irina Zhuravleva; Ulyana Zakharova; Adel Latipov – Journal of Computer Assisted Learning, 2024
Background: Driven by the ongoing need to provide high-quality learning and teaching, universities recently have shown an increased interest in using learning analytics (LA) for improving learning design (LD). However, the evidence of such improvements is scarce, and the maturity of such research is unclear. Objectives: This study is aimed to…
Descriptors: Learning Analytics, Instructional Design, Higher Education, Instructional Improvement
Iyolita Islam; Muhammad Nazrul Islam – Discover Education, 2024
The Artificial Intelligence (AI) natural language model ChatGPT (Chat Generative Pre-trained Transformer), often referred to as ChatGPT-4, has a wide range of possible uses in the fields of research, business, academia, health, and similar fields. This language model can accomplish a number of academic jobs that were previously completed by…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Higher Education
Tosin Ekundayo; Zafarullah Khan; Shahid Ali Chaudhry – Educational Process: International Journal, 2024
Background/Purpose: The integration of ChatGPT within higher education holds significant potential for enhancing learning through personalized, adaptive, and interactive educational experiences. This study's aims were to investigate how academic engagement with ChatGPT in higher education has evolved within the Gulf Cooperation Council (GCC)…
Descriptors: Foreign Countries, Literature Reviews, Artificial Intelligence, Educational Trends
Omkar Dastane; Jason Turner; Alan Nankervis – International Journal of Information and Learning Technology, 2024
Purpose: The study aims to reflect on past research, uncover current trends and propose a future research agenda in the field of artificial intelligence (AI) for competency-based personalised learning. Design/methodology/approach: The study followed the SPAR-4-SLR protocol to retrieve 855 articles related to the field indexed in the Scopus…
Descriptors: Competency Based Education, Artificial Intelligence, Individualized Instruction, Educational Research
Minissi, Maria Eleonora; Chicchi Giglioli, Irene Alice; Mantovani, Fabrizia; Alcañiz Raya, Mariano – Journal of Autism and Developmental Disorders, 2022
The assessment of autism spectrum disorder (ASD) is based on semi-structured procedures addressed to children and caregivers. Such methods rely on the evaluation of behavioural symptoms rather than on the objective evaluation of psychophysiological underpinnings. Advances in research provided evidence of modern procedures for the early assessment…
Descriptors: Autism, Pervasive Developmental Disorders, Identification, Artificial Intelligence
Jayson W. Richardson; Brian C. Vedder; Amanda B. Roberts; Scott McLeod – Leadership and Policy in Schools, 2025
This study offers lessons for P-12 school leaders grappling with integrating artificial intelligence (AI) into learning, teaching, and schooling. The goal was to understand what leadership conversations were being had in the first year of the public's use of ChatGPT and what advice was given to school leaders. We collected all the articles from 12…
Descriptors: Preschool Education, Elementary Secondary Education, Artificial Intelligence, Administrator Attitudes
Flavia Capodanno; Emanuela Zappalà; Paola Aiello – Athens Journal of Education, 2025
Inclusion is widely recognized as one of the founding principles for the quality of educational institutions and it is strictly related to the ICF perspective. Actually, the conceptualization of educational needs is associated to the enhancement of everyone's strengths and potential, and to the influence the (physical and social) environment may…
Descriptors: Literature Reviews, Meta Analysis, Inclusion, Virtual Schools
Casal-Otero, Lorena; Catala, Alejandro; Fernández-Morante, Carmen; Taboada, Maria; Cebreiro, Beatriz; Barro, Senén – International Journal of STEM Education, 2023
The successful irruption of AI-based technology in our daily lives has led to a growing educational, social, and political interest in training citizens in AI. Education systems now need to train students at the K-12 level to live in a society where they must interact with AI. Thus, AI literacy is a pedagogical and cognitive challenge at the K-12…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Multiple Literacies, Integrated Curriculum