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Iatrellis, Omiros; Panagiotakopoulos, Theodor; Gerogiannis, Vassilis C.; Fitsilis, Panos; Kameas, Achilles – Education and Information Technologies, 2021
One of the biggest challenges in building sustainable smart cities of the future is skill management and development. Developing the digital skills of the municipalities' workforce is crucial for all occupational profiles and specifically for those that are actively involved in the development and operation of digital services for a smart city. In…
Descriptors: Information Technology, Municipalities, Labor Force Development, Technological Literacy
Muhammad, Jika Saidu; Isa, Azman Mat; Shamsuddin, Ahmad Zam Hariro; Miah, Shah Jahan – Education and Information Technologies, 2021
The purpose of this paper is to investigate the possible content of IG (Information Governance) framework for implementation in Nigerian universities so that emphases should be on the areas discovered by the study when planning for the framework for better information management in the universities. A qualitative research using case study approach…
Descriptors: Governance, Educational Technology, Universities, Guidelines
Beuran, Razvan; Tang, Dat; Tan, Zheyu; Hasegawa, Shinobu; Tan, Yasuo; Shinoda, Yoichi – Education and Information Technologies, 2019
Cybersecurity education and training are being conducted on an ever-increasing scale, as most organizations need to improve their readiness in dealing with the more and more frequent cyberattacks. However, most systems used for such education and training purposes are built from scratch, are highly customized, and often proprietary. This is true…
Descriptors: Information Security, Teaching Methods, Management Systems, Information Systems
Khanal, Shristi Shakya; Prasad, P.W.C.; Alsadoon, Abeer; Maag, Angelika – Education and Information Technologies, 2020
The constantly growing offering of online learning materials to students is making it more difficult to locate specific information from data pools. Personalization systems attempt to reduce this complexity through adaptive e-learning and recommendation systems. The latter are, generally, based on machine learning techniques and algorithms and…
Descriptors: Electronic Learning, Barriers, Online Courses, Accuracy
Jiao, Fei; Huang, Tianwen – Education and Information Technologies, 2019
Aiming at many problems of school multimedia classroom management, a remote control system for multimedia classroom based on cloud computing is developed. The system includes cloud computing management platform, network switch, single-chip microcomputer and equipment in the multimedia classrooms. It uses VMware desktop virtualization technology to…
Descriptors: Multimedia Instruction, Computer Software, Comparative Analysis, Management Systems
Kumar, Jeya Amantha; Bervell, Brandford; Osman, Sharifah – Education and Information Technologies, 2020
Google Classroom (GC) has provided affordances for blended learning in higher education. Given this, most institutions, including Malaysian higher educational institutions, are adopting this learning management system (LMS) technology for supporting out of classroom pedagogical. Even though quantitative evidence exists to confirm the usefulness of…
Descriptors: Blended Learning, Teaching Methods, Higher Education, Management Systems
Singh, Harpreet; Miah, Shah Jahan – Education and Information Technologies, 2019
Mobile technologies have created enormous opportunities for improving information delivery and dissemination processes among individuals. While studies of the mobile-based technologies in health and businesses have been proliferated, research on mobile applications for education are still at its emergent stage, however, for developing user-centric…
Descriptors: Foreign Countries, Management Systems, Telecommunications, Handheld Devices
Aydogdu, Seyhmus – Education and Information Technologies, 2020
Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
Nitchot, Athitaya; Wettayaprasit, Wiphada; Gilbert, Lester – Education and Information Technologies, 2019
This research proposes a Web-based system for constructing knowledge structures and suggesting study materials links. Within Web-based learning, it is still difficult for learners to identify and choose study materials that match their current and desired abilities. In addition, learners may fail to recognize missing prerequisite learning, and may…
Descriptors: Management Systems, Instructional Materials, Media Selection, Web Based Instruction
Tawafak, Ragad M.; Romli, Awanis BT; Alsinani, Maryam – Education and Information Technologies, 2019
This paper focused on the improvement of student's assessment feedback and learning satisfaction in the higher education institutions in Oman using the E-learning system of University Communication Model (UCOM). During the study, an E-learning model was conceptualized using coursework program instruction, testing academic performance, faculty…
Descriptors: Feedback (Response), Electronic Learning, Foreign Countries, Universities
Ajegbomogun, Fredrick Olatunji; Okunlaya, Rifqah Olufunmilayo Afolake; Alawiye, Mariam Kehinde – Education and Information Technologies, 2017
This paper analyses e-learning resources in the National Open University of Nigeria (NOUN) using Abeokuta study center. Survey research method was adopted for this study. A questionnaire was designed and used to collect data for this study. A sample of 150 respondents was randomly selected from the final year students in the six schools of the…
Descriptors: Electronic Learning, Educational Resources, Foreign Countries, Open Universities
Serhani, Mohamed Adel; Bouktif, Salah; Al-Qirim, Nabeel; El Kassabi, Hadeel T. – Education and Information Technologies, 2019
Program review has been recognized as a common practice amongst universities worldwide. This exercise usually ensures that programs are up to date, meet high quality standards, continuously responding to changes, and hence, adheres to continuous improvement practices. It is a cycle that involves different stakeholders ranging from program chairs…
Descriptors: Higher Education, Educational Quality, Standards, Program Evaluation
Yakubu, Mohammed Nasiru; Dasuki, Salihu Ibrahim; Abubakar, A. Mohammed; Kah, Muhammadou M. O. – Education and Information Technologies, 2020
Research has shown that technology, when used prudently, has the potential to improve instruction and learning both in and out of the classroom. Only a handful of African tertiary institutions have fully deployed learning management systems (LMS) and the literature is devoid of research examining the factors that foster the adoption of LMS. To…
Descriptors: Management Systems, Instructional Improvement, Student Surveys, Intention
Kerimbayev, Nurassyl; Nurym, Nurdaulet; Akramova, ?liya; Abdykarimova, Saule – Education and Information Technologies, 2020
The study considers the problems relating to vocational training of specialists in the virtual educational environment of a higher education institution. The use of advanced information and communication systems (electronic mail, electronic teleconferences, electronic and information resources including text, visual, audio and video information)…
Descriptors: Vocational Education, Computer Simulation, Information Systems, Computer Games
Qazdar, Aimad; Er-Raha, Brahim; Cherkaoui, Chihab; Mammass, Driss – Education and Information Technologies, 2019
The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…
Descriptors: Data Analysis, Academic Achievement, At Risk Students, High School Students
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