Insights: e-Learning Gurus, Challenges, and SolutionsBill Brandon
The need to constantly and consistently improve the quality and quantity of the educational system is essential. E-learning has emerged from the rapid cycle of change and the expansion of new technologies. Advances in information technology have increased network bandwidth, data access speed, and red...
We provide an overview of Intelligent Tutoring Systems that interact with students through natural language dialogue. We present the major challenges such systems face when it comes to processing natural language student input and present an overview of existing solutions to these challenges. In particul...
Further solutions and implications of the study are discussed in the study.doi:10.2139/ssrn.2514434Masoud Mahmoodi-ShahrebabakiSocial Science Electronic PublishingMahmoodi-Shahrebabaki, M. (2014). E-learning in Iran as a developing country: challenges ahead and possible solutions. International ...
Giving mobile learning a try will help you connect more with modern employees and meet their training needs. Learn about the solutions to the top challenges you'll face when creating mLearning courses: Also read:Understanding The Difference Between eLearning and mLearning ...
FL provides solutions to keep the users’ privacy by decentralizing data from the corresponding central server to devices and enabling artificial intelligence (AI) methods to discipline the data. Figure10B summarizes the main process in an FL model. In particular, the unavailability of sufficient data...
In the last year, I’ve talked to ~30 companies in different industries about their challenges with real-time machine learning. I’ve also worked with quite a few to find the solutions. This post outlines the solutions for (1) online prediction and (2) continual learning, with step-by-st...
In this section, we attempt to discuss the challenges and give some feasible solutions. 3.4.1 Interpretability Interpretability helps users understand the results generated by the model. A main limitation of AI-enabled methods in mechanical fault diagnosis is that they operate as a “black box” ...
and drawing inspirations from biological and physical principles10. Within the broader field of neuromorphic computing, an important family of models known as reservoir computing (RC) has progressed significantly over the past two decades11,12. RC conceptualizes how a brain-like system operates, with...
A. Ethical limitations of algorithmic fairness solutions in health care machine learning. Lancet Digit. Health 2, e221–e223 (2020). Article PubMed Google Scholar Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonised Rules on Artificial Intelligence (...