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Muslim, Arham; Chatti, Mohamed Amine; Schroeder, Ulrik – Technology, Knowledge and Learning, 2022
The demand for Open learning analytics (OLA) has grown in recent years due to the increasing interest in the usage of self-organized, networked, and lifelong learning environments. However, platforms that can deliver an effective and efficient OLA are still lacking. Most OLA platforms currently available do not continuously involve end-users in…
Descriptors: Learning Analytics, Lifelong Learning, Delivery Systems, Ecology
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Saleeb, Noha – International Journal of Information and Learning Technology, 2021
Purpose: One of the misconceptions of teaching and learning for practical-based programmes, such as engineering, sciences, architecture, design and arts, is the necessity to deliver via face-to-face physical modality. This paper refutes this claim by providing case studies of best practices in delivering such courses and their hands-on skillsets…
Descriptors: Learning Analytics, Computer Simulation, Educational Environment, Electronic Learning
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Dawkins, Roger – Open Learning, 2019
I am a lecturer with professional marketing experience, and this study was motivated by my dismay at university about what I have perceived as oversights in colleagues' typical use of mass email (emailing a single message to a large group of subscribers) for content delivery, in comparison to the communication strategies of major industries (for…
Descriptors: Foreign Countries, Communication Strategies, Electronic Mail, Business Communication
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Oz, Omer; Ozdamar, Nilgun – Asian Journal of Distance Education, 2020
The main purpose of this study is to explore the effects of Industry 4.0 on resources (specialization, rationalization, preparatory work, and capital-intensive techniques) in the field of open and distance learning. Industry 4.0 is a period in which a great and rapid change is experienced, has a wide and deep impact that can affect business lines…
Descriptors: College Faculty, Expertise, Teacher Attitudes, Open Education
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Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2016
Intelligent Tutoring Systems (ITS) have a long history, almost as long as the Structural Learning Theory (initially in Scandura, 1971). Although well-funded for many years, neither ITS nor contemporary successors based on BIG DATA (e.g., Knewton) come close to modeling the processes used by good human tutors. AuthorIT & TutorIT rest on a…
Descriptors: Intelligent Tutoring Systems, Delivery Systems, Tutorial Programs, Instructional Design
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Matcha, Wannisa; Gasevic, Dragan; Uzir, Nora'ayu Ahmad; Jovanovic, Jelena; Pardo, Abelardo; Lim, Lisa; Maldonado-Mahauad, Jorge; Gentili, Sheridan; Perez-Sanagustin, Mar; Tsai, Yi-Shan – Journal of Learning Analytics, 2020
Generalizability of the value of methods based on learning analytics remains one of the big challenges in the field of learning analytics. One approach to testing generalizability of a method is to apply it consistently in different learning contexts. This study extends a previously published work by examining the generalizability of a learning…
Descriptors: Learning Analytics, Learning Strategies, Instructional Design, Delivery Systems
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Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2013
This article begins with a summary of two dominant approaches to adaptive learning systems: Intelligent Tutoring Systems (ITS), which have been around since the late 1970s and relatively new learning systems based on Learning Analytics, deriving largely from technical advances in BIG DATA pioneered by Google. The article then describes a third…
Descriptors: Intelligent Tutoring Systems, Learning Analytics, Delivery Systems, Learning Theories