The COVID-19 pandemic has reshaped education and shifted learning from in-person to online. While this shift offers advantages such as liberating the learning process from time and space constraints and enabling education to occur anywhere and anytime, a challenge lies in detecting student engagement during online learning due to limited interactio...
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this project is to design a Web-based distance learning system, where instructors and students can participate fully in distance learning activities while geographically separated from each other.
This project is aimed to design and implement a distance learning system and use internet as the delivery mode. This report discusses in detail backgr...
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We present the Interactive Classification System (ICS), a web-based application that supports the activity of manual text classification.The application uses machine learning to continuously fit automatic classification models that are in turn used to actively support its users with classification suggestions. The key requirement we have establishe...
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One of the main important resources for higher education is a Learning Management System (LMS), which has shown an enhancement of students’ progress with high quality learning outcomes worldwide. Many e-learning tools exist, each one has its own weaknesses and strongest points to the online learning process. This number increases continuously, and ...
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This article discusses various features in the design and implementation of online course materials. The author provides a critical review of some instructional design patterns and expands on the alignment among instruction, motivation and learners’ performances as part of a curriculum design process. In this context, the author emphasizes the valu...
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This paper describes experiences with online quizzes in an operations management course. Online quizzes were introduced to offset larger class sizes. During several quarters, experimentation with online quizzes took place including the number of attempts, the amount of time allowed and the topical coverage in the quizzes. Three research questions a...
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In this paper, we propose online learning methodologies for performance modeling and prediction of applications that run repetitively on multi-tenant clouds. Based on a few micro-benchmarks to probe in-situ perceivable performance of major components of the target VM, we proposed both periodic model retraining and progressive modeling approaches to...
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In this paper, we present an Online Learning Artificial Neural Network (ANN) model that is able to predict the performance of tasks in lower frequency levels and safely optimize real-time embedded systems' power saving operations. The proposed ANN model is supported by feature selection, which provides the most relevant variables to describe shared...
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In this paper, we present an Online Learning Artificial Neural Network (ANN) model that is able to predict the performance of tasks in lower frequency levels and safely optimize real-time embedded systems' power saving operations. The proposed ANN model is supported by feature selection, which provides the most relevant variables to describe shared...
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Real-time forecasting of the financial time-series data is challenging for many machine learning (ML) algorithms. First, many ML models operate offline, where they need a batch of data, which may not be available during training. Besides, due to a fixed architecture of the majority of the offline-based ML models, they suffer to deal with the uncert...
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With the advancementofweb technology and its growth, there is huge volume of data present in the web for internet users and a lot of data is generated too. Internet has become a platform for online learning, exchanging ideasandsharing opinions. Social networkingsiteslike Twitter, Face book, Google are rapidly gaining popularity as they allow people...
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