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Morris, Thomas Howard; Rohs, Matthias – Interactive Learning Environments, 2023
Self-directed learning is a critical competence for living and working in our increasingly complex and unpredictable world. The concept of self-directed learning grew out of the adult learning field and scholars highlight the need to examine how self-directed learning competence can be fostered during childhood. However, there are very few…
Descriptors: Educational Technology, Independent Study, Technology Uses in Education, Student Role
Glaser, Noah – Technology, Knowledge and Learning, 2023
This emerging technology report explores the potential of ChatGPT, an AI-powered chatbot developed by OpenAI, as an educational technology. Drawing on previous research on AI and education, the relevance of ChatGPT for learning, instruction, and assessment is discussed, as well as how the tool is being used in practice. Potential ethical concerns…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Technology Uses in Education, Technological Advancement
Qing Li; Jieyu Yue; Jianwen Sun; Sijing Chen; Sannyuya Liu; Zhen Li; Xin Yuan; Tianhui Hu – Science & Education, 2025
The purpose of this study was to investigate the frontier, science, and public engagement of educational science research. This paper conducted a systematic literature review of 101 educational science research articles published in "Nature" and "Science" in 1982-2021 based on the Web of Science database and analyzed the…
Descriptors: Science Education, Scientific Research, Periodicals, Journal Articles
Bo Sichterman; Omid Noroozi; Josien Boetje; Stan van Ginkel; Hassan Khosravi; Johan Versendaal – Innovations in Education and Teaching International, 2025
The integration of Artificial Intelligence (AI) into peer learning has gained significant attention with demonstrated benefits in offering personalised support and enhancing learning outcomes. However, an overview of student characteristics, learning environment conditions, learning processes, learning outcomes, and their interplay constituting…
Descriptors: Literature Reviews, Meta Analysis, Peer Evaluation, Peer Teaching
Jiyou Jia; Tianrui Wang; Yuyue Zhang; Guangdi Wang – Asia Pacific Journal of Education, 2024
In designing an intelligent tutoring system, a core area of the application of AI in education, tips from the system or virtual tutors are crucial in helping students solve difficult questions in disciplines like mathematics. Traditionally, the manual design of general tips by teachers is time-consuming and error-prone. Generative AI, like…
Descriptors: Problem Solving, Artificial Intelligence, Learning Processes, Prompting
Agostino Marengo; Alessandro Pagano; Jenny Pange; Kamal Ahmed Soomro – Interactive Technology and Smart Education, 2024
Purpose: This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia. Design/methodology/approach: A systematic…
Descriptors: Literature Reviews, Artificial Intelligence, Technology Uses in Education, Higher Education
Yadviga Radzitskaya; Artem Islamov – Journal of Computer Assisted Learning, 2024
Nanolearning represents an educational methodology rooted in personalisation and the individualisation of the educational process, leveraging contemporary information technologies. Nanolearning, closely intertwined with self-regulated learning, entails an individual's capacity to plan, monitor and regulate their learning process, objectives and…
Descriptors: Microcredentials, Teaching Methods, Information Technology, Learning Processes
Patcharin Panjaburee; Gwo-Jen Hwang; Ungsinun Intarakamhang; Niwat Srisawasdi; Pawat Chaipidech – Cogent Education, 2024
Previous studies have designed educational methods to cultivate digital citizenship behavior and support the construction of knowledge. However, these methods have not well incorporated personalized feedback mechanisms for enhancing digital citizenship knowledge. Therefore, this study proposed an algorithm that combines concept-effect propagation,…
Descriptors: Educational Games, Individualized Instruction, Outcomes of Education, Visual Learning
Lisabeth Carson – Scandinavian Journal of Educational Research, 2024
Teachers must relate to practitioners from a range of professions, which represent different, sometimes conflicting, perspectives on teaching and learning. Thus, student teachers must develop the expertise to understand, challenge and make constructive use of the perspectives of other professionals. From a socio-cultural perspective, this study…
Descriptors: Audio Equipment, Student Developed Materials, Interprofessional Relationship, Teacher Education Programs
Gang Wang; Xie Qing – Interactive Learning Environments, 2024
This study is intended to analyze the impact of online and offline mixed teaching methods for university students due to COVID-19. The study was conducted when the government relaxed the restrictions imposed during the COVID-19 period. So, the questionnaire was created using Google Forms and then 550 Questionnaires were distributed via email. On…
Descriptors: Electronic Learning, In Person Learning, Teaching Methods, COVID-19
Engelmann, Katharina; Bannert, Maria; Melzner, Nadine – Research and Practice in Technology Enhanced Learning, 2021
Students must engage in self-regulated learning in computer-based learning environments; however, many students experience difficulties in doing so. Therefore, this study aims to investigate self-created metacognitive prompts as a means of supporting students in their learning process and improving their learning performance. We conducted an…
Descriptors: Metacognition, Cues, Learning Processes, Educational Technology
Mao, Ye – ProQuest LLC, 2021
Intelligent Tutoring Systems (ITSs) have emerged as valuable systems to promote active learning. It is critical to build accurate student models to support the learning process. In order to provide efficient and effective personalized instructions for students, tracking a student's time-varying knowledge state is essential to an ITS. Prior…
Descriptors: Time Perspective, STEM Education, Intelligent Tutoring Systems, Learning Processes
Hsieh, Ying-Yi; Chen, Chun-Ching; Chen, Wen-Yin – International Journal of Art & Design Education, 2022
The basic design course mainly focuses on training students in their form development ability, including two parts: graphic figure and three-dimensional form. However, in terms of form development, it is not just to create a certain form arbitrarily, but to convey the creator's intention based on this form. For students who are new to the field of…
Descriptors: Higher Education, Design, Teaching Methods, Creativity
Adrian Lundberg; Martin Stigmar – Innovative Higher Education, 2025
The pandemic (first disruption) eventually led to a forced digital transformation (second disruption) in higher education. Consequently, university educators had to re-navigate their academic teacher identity. This study's purpose is to contribute new knowledge about how teaching quality in current, post-pandemic, higher education might have been…
Descriptors: COVID-19, Pandemics, School Closing, Educational Technology
Eunhye Flavin; Moon Chung; Sunghwan Hwang; Matthew T. Flavin – Educational Technology Research and Development, 2025
Area measurement is a foundational component across STEM fields. The area formula offers limited insight for children trying to develop their area measurement reasoning skills, particularly when dealing with composite shapes. Spatial structuring, where children explore structural units of a 2D space, is an alternative approach. However, poor…
Descriptors: STEM Education, Geometric Concepts, Thinking Skills, Computer Simulation

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