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Ghallabi, Sameh; Essalmi, Fathi; Jemni, Mohamed; Kinshuk – Education and Information Technologies, 2020
With the emergence of technology, the personalization of e-learning systems is enhanced. These systems use a set of parameters for personalizing courses. However, in literature, these parameters are not based on classification and optimization algorithms to implement them in the cloud. Cloud computing is a new model of computing where standard and…
Descriptors: Electronic Learning, Internet, Information Storage, Models
Mishra, Sanju; Jain, Sarika – International Journal of Web-Based Learning and Teaching Technologies, 2019
Information integration is great for military operations because the range of pertinent information sources is significantly distinct and dynamic. This article develops an intelligent knowledge treasure comprised of military resource ontology and procedures, as a learning model for better interoperability of heterogeneous resources of the Indian…
Descriptors: Military Science, Foreign Countries, Models, Information Storage
Liyanagunawardena, Tharindu R.; Scalzavara, Sandra; Williams, Shirley A. – European Journal of Open, Distance and E-Learning, 2017
Open badges are a digital representation of skills or accomplishments recorded in a visual symbol that is embedded with verifiable data and evidence. They are created following a defined open standard, so that they can be shared online. Open badges have gained popularity around the world in recent years and have become a standard feature of many…
Descriptors: Recognition (Achievement), Information Storage, Evaluation Methods, Electronic Learning
Halder, Basudev; Mitra, Sucharita; Mitra, Madhuchhanda – International Journal of Web-Based Learning and Teaching Technologies, 2020
This paper illustrates the cloud-based telemonitoring framework that implements healthcare automation system for myocardial infarction (MI) disease classification. For this purpose, the pathological feature of ECG signal such as elevated ST segment, inverted T wave, and pathological Q wave are extracted, and MI disease is detected by the…
Descriptors: Access to Health Care, Automation, Information Storage, Telecommunications