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Deep learning usually requires big data, with respect to both volume and variety. However, most remote sensing applications only have limited training data, of which a small subset is labeled. Herein, we review three state-of-the-art…

Computer Vision and Pattern Recognition · Computer Science 2018-08-01 John E. Ball , Derek T. Anderson , Pan Wei

Datasets have played a foundational role in the advancement of machine learning research. They form the basis for the models we design and deploy, as well as our primary medium for benchmarking and evaluation. Furthermore, the ways in which…

Machine Learning · Computer Science 2021-11-16 Amandalynne Paullada , Inioluwa Deborah Raji , Emily M. Bender , Emily Denton , Alex Hanna

This short article presents a summary of the NetSciEd (Network Science and Education) initiative that aims to address the need for curricula, resources, accessible materials, and tools for introducing K-12 students and the general public to…

Computers and Society · Computer Science 2017-09-21 Hiroki Sayama , Catherine Cramer , Lori Sheetz , Stephen Uzzo

The machine learning formulation of online learning is incomplete from a systems theoretic perspective. Typically, machine learning research emphasizes domains and tasks, and a problem solving worldview. It focuses on algorithm parameters,…

Machine Learning · Computer Science 2024-04-08 Anli du Preez , Peter A. Beling , Tyler Cody

Engagement is an essential indicator of the Quality-of-Learning Experience (QoLE) and plays a major role in developing intelligent educational interfaces. The number of people learning through Massively Open Online Courses (MOOCs) and other…

Computer Vision and Pattern Recognition · Computer Science 2022-04-14 Sarthak Batra , Hewei Wang , Avishek Nag , Philippe Brodeur , Marianne Checkley , Annette Klinkert , Soumyabrata Dev

In the dynamic realm of cybersecurity, awareness training is crucial for strengthening defenses against cyber threats. This survey examines a spectrum of cybersecurity awareness training methods, analyzing traditional, technology-based, and…

Cryptography and Security · Computer Science 2024-01-23 Saif Al-Dean Qawasmeh , Ali Abdullah S. AlQahtani , Muhammad Khurram Khan

In this tutorial article, we aim to provide the reader with the conceptual tools needed to get started on research on offline reinforcement learning algorithms: reinforcement learning algorithms that utilize previously collected data,…

Machine Learning · Computer Science 2020-11-03 Sergey Levine , Aviral Kumar , George Tucker , Justin Fu

Methods proposed in the literature towards continual deep learning typically operate in a task-based sequential learning setup. A sequence of tasks is learned, one at a time, with all data of current task available but not of previous or…

Computer Vision and Pattern Recognition · Computer Science 2019-08-20 Rahaf Aljundi , Klaas Kelchtermans , Tinne Tuytelaars

In the era of m-Learning, it is found that educational institutions have onus of incorporating the latest technological innovations that can be accepted and understood widely. While investigating the important theme of fast-paced…

Computers and Society · Computer Science 2015-12-01 Muasaad Alrasheedi , Luiz Fernando Capretz

In the rapidly evolving field of computer science education, novel approaches to teaching fundamental concepts are crucial for engaging a diverse student body. Given the growing demand for a computing-skilled workforce, it is essential to…

Computers and Society · Computer Science 2024-07-25 Stanley Cao , Christopher Gregg

The use of satellite networks has increased significantly in recent years due to their advantages over purely terrestrial systems, such as higher availability and coverage. However, to effectively provide these services, satellite networks…

Machine Learning · Computer Science 2026-03-30 João Norberto , Ricardo Ferreira , Cláudia Soares

Humans can often quickly and efficiently solve complex new learning tasks given only a small set of examples. In contrast, modern artificially intelligent systems often require thousands or millions of observations in order to solve even…

Machine Learning · Computer Science 2025-05-08 Christian Raymond

Since the COVID-19 pandemic, online courses have expanded access to education, yet the absence of direct instructor support challenges learners' ability to self-regulate attention and engagement. Mind wandering and disengagement can be…

Machine Learning · Computer Science 2026-02-11 Anna Bodonhelyi , Mengdi Wang , Efe Bozkir , Babette Bühler , Enkelejda Kasneci

Online continual learning aims to get closer to a live learning experience by learning directly on a stream of data with temporally shifting distribution and by storing a minimum amount of data from that stream. In this empirical…

Todays, Intelligent and web-based E-learning is one of regarded topics. So researchers are trying to optimize and expand its application in the field of education. The aim of this paper is developing of E-learning software which is…

Computers and Society · Computer Science 2013-04-17 Hossein Movafegh Ghadirli , Maryam Rastgarpour

Mobile learning (M-learning) is receiving more attention as a method of delivering to learners study materials anytime and anywhere. It is a necessity for educators to come up with a layout for learning that can be accessed through mobile…

Human-Computer Interaction · Computer Science 2012-03-12 Ibrahim Alkore Alshalabi , Khaled Elleithy

The use of open educational resources (OER) is gaining momentum in higher education institutions. This study sought to establish academics' perceptions and knowledge of OER for teaching and learning in an open distance e-learning (ODeL)…

Computers and Society · Computer Science 2021-08-24 Lancelord Siphamandla Mncube , Maureen Tanner , Wallace Chigona

Entrepreneurship is a key component of society, and universities and major political structures have tried to support its development in recent years. The present study aims to check the perception of students (based on gender) about…

Human-Computer Interaction · Computer Science 2025-01-31 Manuela Petrescu , Tudor Dan Mihoc

The flipped classroom model has been widely acknowledged as a practical pedagogical approach to enhancing student engagement and learning. However, it faces challenges such as improving student interaction with learning content and peers,…

Physics Education · Physics 2024-09-20 Mehrasa Alizadeh

E-learning can be loosely defined as a wide set of applications and processes, which uses available electronic media (and tools) to deliver vocational education and training. With its increasing recognition as an ubiquitous mode of…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Zaheer Abbas , Muhammad Umer , Mohammed Odeh , Richard McClatchey , Arshad Ali , Farooq Ahmad
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