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Benjamin L. Edelman – ProQuest LLC, 2024
This dissertation is about a particular style of research. The philosophy of this style is that in order to scientifically understand deep learning, it is fruitful to investigate what happens when neural networks are trained on simple, mathematically well-defined tasks. Even though the training data is simple, the training algorithm can end up…
Descriptors: Learning Processes, Research Methodology, Algorithms, Models
Sehla Ertan; T. Volkan Yüzer – Journal of Educational Technology and Online Learning, 2024
Open and distance learning (ODL) activities aim to meet the expectations and needs of different individuals, societies, and systems by ensuring the continuation of learning with a lifelong learning philosophy and an egalitarian policy for everyone, regardless of time and place. Support services, which address the differentiated expectations and…
Descriptors: Computer Security, Open Education, Distance Education, Technical Support
Ayadi, Mohamed Issam; Maizate, Abderrahim; Ouzzif, Mohammed; Mahmoudi, Charif – International Journal of Web-Based Learning and Teaching Technologies, 2021
In this paper, the authors propose a novel forwarding strategy based on deep learning that can adaptively route interests/data packets through ethernet links without relying on the FIB table. The experiment was conducted as a proof of concept. They developed an approach and an algorithm that leverage existing intelligent forwarding approaches in…
Descriptors: Computer Networks, Artificial Intelligence, Mathematics, Models
Muthukumar, N.; Srinivasan, Seshadhri; Subathra, B.; Ramkumar, K. – IEEE Transactions on Education, 2021
Contribution: This article explores how the Industrial Internet of Things (IIoT) could be leveraged to enhance the teaching/learning experience of advanced control techniques [e.g., model-predictive control (MPC)] for complex systems (nonlinear and multivariable) for undergraduate students. Background: The IIoTs' features, such as ubiquitous…
Descriptors: Undergraduate Students, College Science, Science Instruction, Internet
Chen, Li; Xu, Yaqian – Canadian Journal of Learning and Technology, 2022
Connectivism, a learning theory that reveals a new learning in the Internet environment, has become a popular academic topic at the forefront of online learning. The MOOC Research Team at the Distance Education Research Centre at Beijing Normal University designed and developed the first massive open online course in China, adapting a connectivist…
Descriptors: Foreign Countries, Learning Theories, Educational Innovation, Internet
Forrest J. Bowlick; Karen K. Kemp; Shana Crosson; Eric Shook – Geography Teacher, 2024
Cyberinfrastructure (CI) empowers the foundational computation resources underlying data analytics, spatial modeling, and many other domains serving the growing knowledge economy in the United States. In every part of these interactions with CI, questions of how to seamlessly integrate CI training into educational programs exist. In this article,…
Descriptors: Knowledge Economy, Global Approach, World Problems, Multiple Literacies