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Showing 1 to 15 of 95 results Save | Export
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Javad Keyhan – International Journal of Technology in Education and Science, 2025
In recent years, remarkable advancements in artificial intelligence technology have created new opportunities for transforming educational systems and enhancing student learning. This study focuses on designing a model for an AI-based intelligent assistant to provide a personalized learning experience in higher education. A qualitative approach…
Descriptors: Individualized Instruction, Artificial Intelligence, Models, Higher Education
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Alamri, Hamdan A.; Watson, Sunnie; Watson, William – TechTrends: Linking Research and Practice to Improve Learning, 2021
Personalized learning has the potential to transfer the focus of higher education from teacher-centered to learner-centered environments. The purpose of this integrative literature review was to provide an overview of personalized learning theory, learning technology that supports the personalization of higher education, current practices, as well…
Descriptors: Individualized Instruction, Educational Technology, Technology Uses in Education, Blended Learning
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Fiedler, Sebastian H. D.; Väljataga, Terje – Interactive Learning Environments, 2020
This paper argues for conceptualizing the notion of personal learning environments in higher education from an explicit adult education perspective that emphasizes the realization, re-instrumentation, and integration of learning activity in the wider context of adult life. It discusses and re-interprets an existing proposal for modeling "the…
Descriptors: Individualized Instruction, Adult Students, Adult Education, Higher Education
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Lluch Molins, Laia; Cano García, Elena – Journal of New Approaches in Educational Research, 2023
One of the main generic competencies in Higher Education is "Learning to Learn". The key component of this competence is the capacity for self-regulated learning (SRL). For this competence to be developed, peer feedback seems useful because it fosters evaluative judgement. Following the principles of peer feedback processes, an online…
Descriptors: Learning Analytics, Learning Management Systems, Peer Evaluation, Higher Education
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Goria, Cecilia; Konstantinidis, Angelos – Turkish Online Journal of Distance Education, 2023
In spite of its increasing popularity, distance education faces challenges -- levels of digital literacy, access to technology, workload and time management, students' feelings of isolation and disconnection -- that can have a significant impact on the experience of the learners. In addressing these issues, we propose a pedagogical model for…
Descriptors: Models, Electronic Learning, Online Courses, Distance Education
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Balwant, Paul Tristen; Doon, Roshnie – International Journal of Educational Technology in Higher Education, 2021
In higher education, one commonly used teaching approach that is intended to develop deep learning is that of the 'Oxford' tutorial--a personalized Socratic approach in which an instructor discusses course-related issues with a handful of students. Even though this conventional tutorial model is well supported in the literature, it may be…
Descriptors: Tutoring, Tutors, Teaching Methods, Questioning Techniques
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Blumenstein, Marion – Journal of Learning Analytics, 2020
The field of learning analytics (LA) has seen a gradual shift from purely data-driven approaches to more holistic views of improving student learning outcomes through data-informed learning design (LD). Despite the growing potential of LA in higher education (HE), the benefits are not yet convincing to the practitioner, in particular aspects of…
Descriptors: Learning Analytics, Instructional Design, Effect Size, Higher Education
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Kuhnel, Matthias; Seiler, Luisa; Honal, Andrea; Ifenthaler, Dirk – Interactive Technology and Smart Education, 2018
Purpose: The purpose of the study was to test the usability of the MyLA app prototype by its potential users. Furthermore, the Web app will be introduced in the framework of "Mobile Learning Analytics", a cooperation project between the Cooperative State University Mannheim and University of Mannheim. The participating universities focus…
Descriptors: Electronic Learning, Higher Education, Data Collection, Usability
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Miller, Faye; Partridge, Helen; Bruce, Christine; Hemmings, Brian – Journal of Further and Higher Education, 2017
This article presents a "knowledge ecosystem" model of how early career academics experience using information to learn while building their social networks for developmental purposes. Developed using grounded theory methodology, the model offers a way of conceptualising how to empower early career academics through (1) agency…
Descriptors: Learning Experience, Informal Education, Career Academies, Models
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Kuhnel, Matthias; Seiler, Luisa; Honal, Andrea; Ifenthaler, Dirk – International Association for Development of the Information Society, 2017
This study aims to test the usability of MyLA (My Learning Analytics), an application for students at two German universities: The Cooperative State University Mannheim and University of Mannheim. The participating universities focus on the support of personalized and self-regulated learning. MyLA collects data such as learning behavior and…
Descriptors: Electronic Learning, Higher Education, Data Collection, Usability
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Huggins, Susan; Smith, Peter – Open Praxis, 2015
Navigating learning, formal or informal, can be overwhelming, confusing, and impersonal. With more options than ever, the process of deciding what, where, and when can be overwhelming to a learner. The concept of Open College at Kaplan University (OC@KU) was to bring organization, purpose, and personalization of learning caused by vast resources…
Descriptors: Higher Education, Models, Open Education, Educational Innovation
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Lee, Jihyun; Lim, Cheolil; Kim, Hyeonsu – Educational Technology Research and Development, 2017
In response to pedagogical challenges in higher education, blended learning has become a prevalent practice in colleges and universities. Flipped learning (FL) represents a newly emerging form of blended learning, where students individually watch online lectures prior to class and then engage in classroom learning activities interacting with…
Descriptors: Instructional Development, Instructional Design, Models, Blended Learning
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de Freitas, Sara; Gibson, David; Du Plessis, Coert; Halloran, Pat; Williams, Ed; Ambrose, Matt; Dunwell, Ian; Arnab, Sylvester – British Journal of Educational Technology, 2015
With digitisation and the rise of e-learning have come a range of computational tools and approaches that have allowed educators to better support the learners' experience in schools, colleges and universities. The move away from traditional paper-based course materials, registration, admissions and support services to the mobile, always-on and…
Descriptors: Higher Education, Student Records, Data Analysis, Information Utilization
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Griess, Carolyn J.; Keat, Jane B. – Journal of Early Childhood Teacher Education, 2014
Teacher education faculty are experiencing increasingly diverse higher education classrooms. In many ways, the diversities present in collegiate classrooms mirror the differences in classrooms of young children. The diversity may be a result of a range of ethnic, socioeconomic, and linguistic differences. Or it may be differences resulting from…
Descriptors: Preservice Teachers, Early Childhood Education, Higher Education, Teacher Education
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Ola, Ade G.; Bai, Xue; Omojokun, Emmanuel E. – Research in Higher Education Journal, 2014
Over the years, companies have relied on On-Line Analytical Processing (OLAP) to answer complex questions relating to issues in business environments such as identifying profitability, trends, correlations, and patterns. This paper addresses the application of OLAP in education and learning. The objective of the research presented in the paper is…
Descriptors: Profiles, Database Management Systems, Information Management, Progress Monitoring
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