The role of social media, in particular microblogging platforms such as Twitter, as a conduit for actionable and tactical information during disasters is increasingly acknowledged. However, time-critical analysis of big crisis data on social media streams brings challenges to machine learning techniques, especially the ones that use supervised learning. The scarcity of labeled data, particularl...

the theory of random vector functional link network (RVFLN) has provided a breakthrough in the design of neural networks (NNs) since it conveys solid theoretical justification of randomized learning. Existing works in RVFLN are hardly scalable for data stream analytics because they are inherent to the issue of complexity as a result of the absence of structural learning scenarios. A novel class...

Personalization approaches in learning environments can be addressed from different perspectives and also in various educational settings, including formal, informal, workplace, lifelong, mobile, contextualized, and selfregulated learning. PALE workshop offers an opportunity to present and discuss a wide spectrum of issues and solutions, such as pedagogic conversational agents, personal learnin...

In this theoretical contribution, we provide mathematical proof that two of the most important classes of network learning-correlation-based differential Hebbian learning and reward-based temporal difference learning-are asymptotically equivalent when timing the learning with a modulatory signal. This opens the opportunity to consistently reformulate most of the abstract reinforcement learning ...

Introduction: Collaborative testing is a learning strategy thatprovides students with the opportunity to learn and practicecollaboration. This study aimed to determine the effect ofcollaborative testing on test performance and retention of coursecontent in nursing students of Shiraz University of MedicalSciences, Shiraz, Iran.Methods: This quasi-experimental study was carried out on 84students ...

This study attempted to evaluate and compare language learning apps and the related traditional books on the same subject. The apps included Murphy’s English Grammar and Cambridge Discovery Readers and the traditional materials were English Grammar in Use and Developing Reading Skills. The study, thus, aimed to do a comparative analysis between traditional ELT materials and the digital versions...

We show that measures of inequality opportunity (IOP) fully consistent with the IOP theory Roemer (1998) can be straightforwardly estimated by adopting a machine learning approach, and apply our method to analyze development in Germany during past three decades. Hereby, we take advantage information contained 25 waves Socio-Economic Panel. Our analysis shows declined immediately after reunifica...