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Tetzlaff, Leonard; Schmiedek, Florian; Brod, Garvin – Educational Psychology Review, 2021
Personalized education--the systematic adaptation of instruction to individual learners--has been a long-striven goal. We review research on personalized education that has been conducted in the laboratory, in the classroom, and in digital learning environments. Across all learning environments, we find that personalization is most successful when…
Descriptors: Individualized Instruction, Instructional Effectiveness, Instructional Design, Student Characteristics
Vincent Aleven; Jori Blankestijn; LuEttaMae Lawrence; Tomohiro Nagashima; Niels Taatgen – Grantee Submission, 2022
Past research has yielded ample knowledge regarding the design of analytics-based tools for teachers and has found beneficial effects of several tools on teaching and learning. Yet there is relatively little knowledge regarding the design of tools that support teachers when a class of students uses AI-based tutoring software for self-paced…
Descriptors: Educational Technology, Artificial Intelligence, Problem Solving, Intelligent Tutoring Systems
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Xia, Xiaona – Interactive Learning Environments, 2023
The interactive learning is a continuous process, which is full of a large number of learning interaction activities. The data generated between learners and learning interaction activities can reflect the online learning behaviors. Through the correlation analysis among learning interaction activities, this paper discusses the potential…
Descriptors: Behavior Patterns, Learning Analytics, Decision Making, Correlation
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Youqin Pan; Jian Gu – International Journal of Technology in Teaching and Learning, 2023
This paper explores the potential of using Chat Generative PreTrained Transformer (ChatGPT), a powerful language model, as an innovative tool to enhance education in the classroom. Drawing from firsthand experience, this paper demonstrates how ChatGPT can be integrated into the teaching and learning process of statistics and data analytics…
Descriptors: Teaching Methods, Learning Processes, Artificial Intelligence, Computer Software
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Li, Lijuan; Wang, Yali; Zhang, Haojuan – Science Insights Education Frontiers, 2020
Teaching students per their aptitude and individualized training is the focus of the world's attention, and it is also one of the eight major concepts of Chinese education. Based on the Chinese Social Sciences Citation Index database, this paper systematically analyzed the concept and connotation of personalized learning in China. Meanwhile, it…
Descriptors: Individualized Instruction, Foreign Countries, Learning Analytics, Technology Uses in Education
OECD Publishing, 2021
How might digital technology and notably smart technologies based on artificial intelligence (AI), learning analytics, robotics, and others transform education? This book explores such question. It focuses on how smart technologies currently change education in the classroom and the management of educational organisations and systems. The book…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Learning Analytics
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Sridharan, Shwetha; Saravanan, Deepti; Srinivasan, Akshaya Kesarimangalam; Murugan, Brindha – Education and Information Technologies, 2021
There exist numerous resources online to gain the desired level of knowledge on any topic. However, this complicates the process of selecting the most appropriate resources. Every learner differs in terms of their learning speed, proficiency, and preferred mode of learning. This paper develops an adaptive learning management system to tackle this…
Descriptors: Integrated Learning Systems, Computer Assisted Instruction, Individualized Instruction, Learning Analytics
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Li, Xiaoyu; Xia, Jianping – Science Insights Education Frontiers, 2020
The rise of big data technology provides direction and support for the reform and development of education. Big data technology can realize the inventory management and effective dynamic monitoring of schools, students, and teachers. It is conducive to comprehensively and accurately controlling the development of teaching activities, injecting new…
Descriptors: Foreign Countries, Middle School Students, Data Analysis, Data Collection
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Jørnø, Rasmus Leth; Andersen, Bjarke Lindsø; Gundersen, Peter – Nordic Journal of Studies in Educational Policy, 2022
In this theoretical paper, we argue that Tech enthusiasts and skeptics are animated by the same sociotechnical personalization imaginary to improve education and teaching through personalization, but see very different paths to this goal. Tech boosters point to well-known problems of the existing education system -- and rhetorically ask: 'why…
Descriptors: Educational Improvement, Teaching Methods, Professional Autonomy, Problem Solving
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Dipace, Anna; Loperfido, F. Feldia; Scarinci, Alessia – Research on Education and Media, 2018
This article describes Learning Analytics (LA) as a predictive and formative approach that enables the planning of educational scenarios in line with students' needs and languages in order to set a priori and in progress systems of control and inspection of the following: consistency, relevance and effectiveness of training objectives, curriculum…
Descriptors: Learning Analytics, Individualized Instruction, Curriculum Design, Student Centered Learning
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Whalley, Brian; France, Derek; Park, Julian; Mauchline, Alice; Welsh, Katharine – Higher Education Pedagogies, 2021
The concept of the Fourth Industrial Revolution is related to a ubiquitously connected, pervasively proximate (UCaPP) world and its response to COVID-19. Pedagogies need to be aligned with institutional 'quality education' and changes in the nature of the undergraduate student intake to formulate a 'Future Educational System'. Considerations…
Descriptors: Individualized Instruction, Active Learning, COVID-19, Pandemics
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Pence, Harry E. – Education Sciences, 2020
Chemical educators are facing a new generation of instructional technologies that impact classroom teaching. New technologies, like smartphones, cloud computing and artificial intelligence take learning beyond the classroom; 3D printing, virtual reality, and augmented reality provide new ways to teach the virtualization skills that are important…
Descriptors: Chemistry, Educational Technology, Telecommunications, Handheld Devices
Taneri, Grace Ufuk – Center for Studies in Higher Education, 2020
We are living in an era of artificial intelligence (AI). There is wide discussion about and experimentation with the impact of AI on education/higher education. In this paper, we give a discussion of how AI is evolving, explore the ways AI is changing education/higher education, give a concise account of the skills universities need to teach their…
Descriptors: Artificial Intelligence, Higher Education, Electronic Learning, Blended Learning
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Kean, Emily B.; Robinson, Cayla – Journal of Information Literacy, 2019
The liaison librarian to a university with a substantial and growing online learning population began using asynchronous, personalised video instruction as an online replacement for the traditional face-to-face, one-on-one bibliographic instruction reference appointment. This project was informed by the framework of metaliteracy and the 'See One,…
Descriptors: Individualized Instruction, Asynchronous Communication, Library Instruction, Instructional Effectiveness