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Shannon Sung; Xiaotong Ding; Rundong Jiang; Elena Sereiviene; Dylan Bulseco; Charles Xie – Journal of Geoscience Education, 2024
Engineering projects, such as designing a solar farm that converts solar radiation shined on the Earth into electricity, engage students in addressing real-world challenges by learning and applying geoscience knowledge. To improve their designs, students benefit from frequent and informative feedback as they iterate. However, teacher attention may…
Descriptors: Artificial Intelligence, Teaching Assistants, Energy, Engineering
Catherine Montgomery; Craig Stewart; Olanrewaju Aduragba; Francesca Poli – Higher Education Quarterly, 2024
This paper seeks to illuminate new perspectives on the concept of crisis in globalised higher education (HE) by focusing on knowledge generated by doctoral research. Doctoral research is a significant part of research and knowledge building in HE, particularly in science, and doctoral students contribute to the research capacity and knowledge…
Descriptors: Global Approach, Higher Education, Doctoral Dissertations, Student Research
Yung-Hsiang Hu; Jo Shan Fu; Hui-Chin Yeh – Interactive Learning Environments, 2024
Artificial intelligence aims to restructure and process re-engineering education and teaching processes and accelerate the evolution of the whole education system from information to intelligence. Robotic Process Automation (RPA) robots learn by observing people at work, analyzing user processes repeatedly, and adjusting or correcting automated…
Descriptors: Intelligent Tutoring Systems, Robotics, Automation, Instructional Effectiveness
Dilara Arzugül Aksoy; Engin Kursun – Open Praxis, 2024
Artificial Intelligence (AI) is a rapidly evolving field that is influencing every aspect of life. Generative AI (GenAI) as a sub-branch of AI is used to create content in various formats such as text, images, video, and audio. This paper discusses the implications of GenAI for Open Educational Practices (OEP), highlighting the potential…
Descriptors: Artificial Intelligence, Technology Uses in Education, Open Education, Educational Practices
Christopher Dann; Petrea Redmond; Melissa Fanshawe; Alice Brown; Seyum Getenet; Thanveer Shaik; Xiaohui Tao; Linda Galligan; Yan Li – Australasian Journal of Educational Technology, 2024
Making sense of student feedback and engagement is important for informing pedagogical decision-making and broader strategies related to student retention and success in higher education courses. Although learning analytics and other strategies are employed within courses to understand student engagement, the interpretation of data for larger data…
Descriptors: Artificial Intelligence, Learner Engagement, Feedback (Response), Decision Making
Melissa Bond – International Journal of Educational Technology in Higher Education, 2024
In celebrating the 20th anniversary of the "International Journal of Educational Technology in Higher Education (IJETHE)," previously known as the "Revista de Universidad y Sociedad del Conocimiento (RUSC)," it is timely to reflect upon the shape and depth of educational technology research as it has appeared within the…
Descriptors: Periodicals, Journal Articles, Educational Technology, Higher Education
Jennifer Redmann – Unterrichtspraxis/Teaching German, 2024
Genre, defined as a "staged goal-oriented social process" (Martin, 2009), has long stood as a key principle in second-language writing instruction. This article presents the principles underpinning genre theory as it relates to the language curriculum and the five phases of genre-based L2 writing pedagogy. This pedagogy provides the…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, German
Mahmoud M. S. Abdallah – Online Submission, 2024
This research study explores the potential of a pedagogical model of self-regulated learning supported with Artificial Intelligence (AI) chatbots to enhance self-expression and reflective writing skills for novice EFL student teachers at Faculty of Education, Assiut University. The study adopted a pre-post quasi-experimental design, that starts…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Student Teachers
Hsin Huang; Hui-Chen Lin – Educational Technology & Society, 2024
Professional Identity Formation (PIF) is considered a crucial process in medical education. It involves how medical students identify their role as physicians, discover their professional positioning, and gradually develop their professional identity through social interactions. This qualitative descriptive study adopted the phenomenological…
Descriptors: Coaching (Performance), Professional Identity, Medical Education, Medical Students
Carsten Lecon – Athens Journal of Education, 2024
In this paper, we describe a teaching scenario using a virtual environment (known also in the context of the 'metaverse'). This is motivated by the challenges that arise during the pandemic. More and more teaching scenarios are transferred to online learning settings, which allow learning at any time and at any time. One of the possibilities are…
Descriptors: Electronic Learning, Virtual Classrooms, Computer Simulation, Artificial Intelligence
Hui Meng; Li Ma; Lei Su; Bei Lu; Di Hou; Xiaowei Du – International Journal of Web-Based Learning and Teaching Technologies, 2024
Intangible cultural heritage is an important part of Chinese excellent traditional culture, and college dance teaching is paid more attention by researchers of physical education and computer technology. In order to help the inheritance and development of non-legacy culture in college dance teaching, this paper analyzes the influencing factors of…
Descriptors: Dance Education, Cultural Background, Telecommunications, Computer Networks
Christopher Saarna – International Journal of Technology in Education, 2024
This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…
Descriptors: Identification, Artificial Intelligence, Computer Software, Grammar
Odiel Estrada-Molina; Juanjo Mena; Alexander López-Padrón – International Review of Research in Open and Distributed Learning, 2024
No records of systematic reviews focused on deep learning in open learning have been found, although there has been some focus on other areas of machine learning. Through a systematic review, this study aimed to determine the trends, applied computational techniques, and areas of educational use of deep learning in open learning. The PRISMA…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Open Education, Educational Trends
Demetrios G. Sampson, Editor; Dirk Ifenthaler, Editor; Pedro Isaías, Editor – Cognition and Exploratory Learning in the Digital Age, 2024
This edited volume presents the latest research focussing on current challenges on the deployment of smart technologies and pedagogies for supporting teaching and learning in the post-covid19 era. This is at the core of studying the evolution of the learning process, the role of technology-supported pedagogical approaches, and the progress of…
Descriptors: Teaching Methods, Influence of Technology, Educational Technology, Professional Development
Rita Gill Singh; Cindy Sing Bik Ngai – Discover Education, 2024
The emergence of ChatGPT, a Generative AI program, has sparked discussions about its teaching and learning value, and concerns about academic integrity in higher education (HE). An extant review of the literature indicates that a scarcity of research exists on GenAI, specifically a synthesis of the official views, guidelines and articles of…
Descriptors: Foreign Countries, Reputation, Institutional Characteristics, Universities

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