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Direct linkAL-Sayid, Fareed; Kirkil, Gokhan – Education and Information Technologies, 2023
The novelty of this study is in developing a conceptual model for predicting the non-linear relationships between human-computer interaction factors and ease of use and usefulness of collaborative web-based learning or e-learning. Ten models (logarithmic, inverse, quadratic, cubic, compound, power, s-curve, growth, exponential, and logistic) were…
Descriptors: Cooperative Learning, Electronic Learning, Web Based Instruction, Man Machine Systems
Iatrellis, Omiros; Kameas, Achilles; Fitsilis, Panos – Education and Information Technologies, 2019
One of the main challenges to be confronted by Higher Educational Institutions (HEI), so as to increase quality, is the provision of personalized education services in a wide range of educational settings, often beyond the course sequences historically offered to students. However, this personalization requires the continuous reconfiguration and…
Descriptors: Technology Integration, Higher Education, Information Technology, Computer Interfaces
Zeynab (Artemis) Mohseni; Italo Masiello; Rafael M. Martins – Education and Information Technologies, 2024
There is a significant amount of data available about students and their learning activities in many educational systems today. However, these datasets are frequently spread across several different digital services, making it challenging to use them strategically. In addition, there are no established standards for collecting, processing,…
Descriptors: Elementary School Students, Data, Individual Development, Learning Trajectories
Iatrellis, Omiros; Savvas, Ilias K.; Kameas, Achilles; Fitsilis, Panos – Education and Information Technologies, 2020
The present research work proposes the development of an integrated framework for the personalization and parameterization of learning pathways, aiming at optimizing the quality of the offered services by the Higher Educational Institutions (HEI). In order to achieve this goal, in addition to the educational part, the EDUC8 framework encloses the…
Descriptors: Higher Education, Learning Processes, Electronic Learning, Semantics
Kolekar, Sucheta V.; Pai, Radhika M.; M. M., Manohara Pai – Education and Information Technologies, 2019
The term Adaptive E-learning System (AES) refers to the set of techniques and approaches that are combined together to offer online courses to the learners with the aim of providing customized resources and interfaces. Most of these systems focus on adaptive contents which are generated to the learners without considering the learning styles of…
Descriptors: Computer Interfaces, Computer Assisted Instruction, Electronic Learning, Online Courses
Iyer, Viswanathan K. – Education and Information Technologies, 2017
This paper addresses the issue of effective content-delivery of Computer Science subjects taking advantage of a university intranet. The proposal described herein for teaching a subject like Combinatorics and Graph Theory (CGT) is to supplement lectures with a moderated online forum against an associated intranet portal, which is referred to as a…
Descriptors: Computer Networks, Computer Science Education, Universities, Mathematical Concepts
