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Nan Wu – International Journal of Web-Based Learning and Teaching Technologies, 2024
Higher education is becoming increasingly competitive and all educational institutions are concentrating on improving quality and changing traditional higher education teaching methods. New-type classroom instruction has embraced a unique advancement opportunity with the arrival of the fifth generation (5G) era. It is critical to develop a…
Descriptors: Instructional Effectiveness, Internet, Computer Literacy, Artificial Intelligence
M. Esther Del Moral-Pérez; Nerea López-Bouzas; Jonathan Castañeda-Fernández – Journal of New Approaches in Educational Research, 2024
Transmedia skill, derived from the process of converting films into educational games using augmented reality and artificial intelligence, involves employing various languages and mediums to adapt an original narrative to another format. This transmedia practice presents an opportunity to cultivate diverse skills in teacher training by…
Descriptors: Media Adaptation, Educational Games, Computer Simulation, Artificial Intelligence
Xiaojing Weng; Huiyan Ye; Yun Dai; Oi-lam Ng – Journal of Educational Computing Research, 2024
A growing body of research is focusing on integrating artificial intelligence (AI) and computational thinking (CT) to enhance student learning outcomes. Many researchers have designed instructional activities to achieve various learning goals within this field. Despite the prevalence of studies focusing on instructional design and student learning…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Technology Integration
Andrea Zanellati; Stefano Pio Zingaro; Maurizio Gabbrielli – IEEE Transactions on Learning Technologies, 2024
Academic dropout remains a significant challenge for education systems, necessitating rigorous analysis and targeted interventions. This study employs machine learning techniques, specifically random forest (RF) and feature tokenizer transformer (FTT), to predict academic attrition. Utilizing a comprehensive dataset of over 40 000 students from an…
Descriptors: Dropouts, Dropout Characteristics, Potential Dropouts, Artificial Intelligence
Anya S. Evmenova; Kelley Regan; Reagan Mergen; Roba Hrisseh – TechTrends: Linking Research and Practice to Improve Learning, 2024
Generative AI has the potential to support teachers with writing instruction and feedback. The purpose of this study was to explore and compare feedback and data-based instructional suggestions from teachers and those generated by different AI tools. Essays from students with and without disabilities who struggled with writing and needed a…
Descriptors: Writing Instruction, Feedback (Response), Writing Difficulties, Artificial Intelligence
Emma Nicole Lomberg; Jacques Jordaan – SAGE Open, 2024
South African undergraduate university students face many unique challenges that put them at risk of developing mental health concerns such as depression, anxiety, stress, suicidal ideation, and posttraumatic stress disorder. However, psychological well-being has been found to play an essential role when it comes to effectively coping with and…
Descriptors: Foreign Countries, Undergraduate Students, Predictor Variables, Student Welfare
Seongyong Lee; Jaeho Jeon – Computer Assisted Language Learning, 2024
Artificial agents, such as voice-controlled conversational agents (VCAs) built into smart devices, are becoming more prevalent in daily and educational contexts, enhancing the possibility of using them as language partners. However, research has primarily focused on the cognitive or affective outcomes of using these agents, overlooking questions…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction
Maya Usher; Miri Barak – International Journal of STEM Education, 2024
As artificial intelligence (AI) technology rapidly advances, it becomes imperative to equip students with tools to navigate through the many intricate ethical considerations surrounding its development and use. Despite growing recognition of this necessity, the integration of AI ethics into higher education curricula remains limited. This paucity…
Descriptors: Artificial Intelligence, Ethics, Ethical Instruction, Online Courses
Danielle A. Waterfield; Latesha Watson; Jamie Day – Journal of Special Education Technology, 2024
Artificial intelligence (AI) has been rapidly developing, both in the education field and beyond, in recent years. Due to this fast-paced nature, special education teachers may not be aware of the availability of AI that could be pertinent to their practice. In this manuscript, five AI platforms that are readily available for special education…
Descriptors: Artificial Intelligence, Special Education, Educational Technology, Teaching Methods
Anamarija Žic Ralic; Jelena Markovic – Journal of Research in Special Educational Needs, 2024
The social and emotional development of students is one of the important goals of inclusive education. The aim of this paper is to provide a comprehensive understanding of the multidimensional social and emotional competencies of students with special educational needs (SEN), with a focus on identifying the areas in which they achieve the highest…
Descriptors: Teachers, Social Emotional Learning, Emotional Intelligence, Inclusion
Emily Maria K. Jose; Bijay Prasad Kushwaha – International Journal of Learning and Change, 2024
Emotional intelligence is a way to enhance workforce capability in the 21st century. Psychological well-being is vital for shaping faculty and student relationships in the educational sector. This article aims to provide an updated methodological review of emotional intelligence studies in academia. This study investigates two decades of emotional…
Descriptors: Emotional Intelligence, Educational Trends, Educational History, Cognitive Ability
Maria Y. Rodriguez; Lauri Goldkind; Bryan G. Victor; Barbara Hiltz; Brian E. Perron – Journal of Social Work Education, 2024
The most recent Council on Social Work Education's Educational Policy and Accreditation Standards (EPAS) demands that social workers develop competence in the ethical and professional deployment of technology. Arguably, artificial intelligence has become a critical element in the technological landscape, most recently with the advent of Generative…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Educational Policy, Social Work
Holly Golecki; Joe Bradley – Biomedical Engineering Education, 2024
Biomedical engineering capstone design courses provide a salient opportunity to discuss ethical considerations in engineering. As technology and society develop and change, new challenges constantly arise related to how society and technology inform each other. In this space, ethical training for engineering students is critically important for…
Descriptors: Experiential Learning, Decision Making, Ethics, Capstone Experiences
Azala Mohammad Alghamdi – Journal of Educational Leadership and Policy Studies, 2024
The study aimed to examine the impact of academic leaders' possession of digital literacy on their attitudes toward artificial intelligence applications in leadership work in light of the diffusion of innovation theory at Umm Al-Qura University (UQU). The study used a descriptive correlational approach with a random sampling method, and overall,…
Descriptors: Foreign Countries, Universities, College Administration, Administrator Attitudes
Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence

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