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Maro, Marin Salome; Kondoro, Aron; Haßler, Björn; Mtebe, Joel; Proctor, Jamie – Journal of Learning for Development, 2023
Low-powered mobile devices such as Raspberry Pis and tablets can be used as microservers to implement offline Learning Management Systems (LMS). Despite their potential, especially for low-income countries, such as Tanzania, no research is available detailing the affordances of these devices for supporting LMS features. This study investigated the…
Descriptors: Foreign Countries, Learning Management Systems, Developing Nations, Costs
Ronny Pacheco – ProQuest LLC, 2020
Motivated by applications in health care systems, this study focused on queueing network models with instances of simultaneous resource possession under capacity restrictions in different stages. Customers during service at certain nodes in the first-level or primary system may simultaneously need service from a second-level server. In this…
Descriptors: Engineering, Engineering Technology, Computer Networks, Resource Allocation
Gordon, Jerry; Hayden, Trey; Johnson, Andy; Smith, Brent – Advanced Distributed Learning Initiative, 2020
The DoD's [Department of Defense's] Advanced Distributed Learning (ADL) Initiative is designing a framework of commercial standards, technical specifications, and business rules to enable plug and play interoperability of learning technologies. The Total Learning Architecture (TLA) framework will allow education and training products to…
Descriptors: Armed Forces, Military Training, Educational Technology, Delivery Systems
What! No GUI? -- Teaching a Text Based Command Line Oriented Introduction to Computer Science Course
Goldstein, Ira – Information Systems Education Journal, 2019
Computer Science students need to acquire knowledge about both the hardware and software aspects of computing systems. It is necessary for them to understand how each layer interacts with one another. However, since Graphical User Interfaces have become ubiquitous, the opportunities to interact with the computer via a command prompt as part of…
Descriptors: Computer Science Education, Computer Software, Introductory Courses, Programming
Graf von Malotky, Nikolaj Troels; Martens, Alke – International Association for Development of the Information Society, 2016
Intelligent Tutoring System are state of the art in eLearning since the late 1980s. The earliest system have been developed in teams of psychologists and computer scientists, with the goal to investigate learning processes and, later on with the goal to intelligently support teaching and training with computers. Over the years, the eLearning hype…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Client Server Architecture, Computer Software
Bhagat, Kaushal Kumar; Subheesh, N. P.; Bhattacharya, Bani; Chang, Chun-Yen – EURASIA Journal of Mathematics, Science & Technology Education, 2017
With the rapid development of technology, incorporation of Information Communication Technology (ICT) for formative assessment purpose has been increasing over the past decade. This article describes the design and development of identification of students' misconceptions in an individualized learning environment (iSMILE) system that includes…
Descriptors: Misconceptions, Information Technology, Formative Evaluation, Educational Environment
Advanced Distributed Learning Initiative, 2019
The Total Learning Architecture (TLA) program sponsored by the Advanced Distributed Learning (ADL) Initiative seeks to develop a set of policy and standards defining the process for developing a "learning ecology," where multiple services and learning opportunities (of various modalities and points of delivery) can be managed in an…
Descriptors: Educational Policy, Ecology, Delivery Systems, Learning Analytics
Rodriguez-Gil, Luis; García-Zubia, Javier; Orduña, Pablo; López-de-Ipiña, Diego – IEEE Transactions on Learning Technologies, 2017
Online laboratories have traditionally been split between virtual labs, with simulated components; and remote labs, with real components. The former tend to provide less realism but to be easily scalable and less expensive to maintain, while the latter are fully real but tend to require a higher maintenance effort and be more error-prone. This…
Descriptors: Educational Technology, Technology Uses in Education, Laboratories, Simulated Environment
Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…
Descriptors: Intelligent Tutoring Systems, Models, Open Source Technology, Computers