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Maintaining physical activity is essential for older adults' health and well-being, yet participation remains low. Traditional paper-based and in-person interventions have been effective but face scalability issues. Smartphone apps offer a…

The ActiveAI project addresses key challenges in AI education for grades 7-9 students by providing an engaging AI literacy learning experience based on the AI4K12 knowledge framework. Utilizing learning science mechanisms such as goal-based…

Computers and Society · Computer Science 2023-09-25 Ying Jui Tseng , Gautam Yadav

While many active learning papers assume that the learner can simply ask for a label and receive it, real annotation often presents a mismatch between the form of a label (say, one among many classes), and the form of an annotation…

Machine Learning · Computer Science 2019-07-10 Peiyun Hu , Zachary C. Lipton , Anima Anandkumar , Deva Ramanan

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

A freely available educational application (a mobile website) is presented. This provides access to educational material and drilling on selected topics within mathematics and statistics with an emphasis on tablets and mobile phones. The…

Other Statistics · Statistics 2014-12-10 Jamie Lentin , Anna H. Jonsdottir , David Stern , Victoria Mokua , Gunnar Stefansson

Mobile technology creates value on three fundamental pillars: productivity, coordination, and transformation. Mobile apps are becoming an increasingly important aspect of teaching and learning in many countries. The use of mobile…

Computers and Society · Computer Science 2022-08-10 Siddhartha Paul Tiwari

Active learning aims to reduce the high labeling cost involved in training machine learning models on large datasets by efficiently labeling only the most informative samples. Recently, deep active learning has shown success on various…

Computer Vision and Pattern Recognition · Computer Science 2019-12-12 Sudhanshu Mittal , Maxim Tatarchenko , Özgün Çiçek , Thomas Brox

This paper draws together nine strategies for creative visualization activities. Teaching visualization often involves running learning activities where students perform tasks that directly support one or more topics that the teacher wishes…

In the context of higher education's evolving dynamics post-COVID-19, this paper assesses the impact of new pedagogical incentives implemented in a first-year undergraduate computing module at University College London. We employ a mixed…

Computers and Society · Computer Science 2024-03-25 Laura J. Johnston , Takoua Jendoubi

Student disengagement in online learning has become a critical challenge, particularly post-pandemic. This review explores deep learning techniques used to detect disengagement, emphasizing computer vision and affective computing as…

Human-Computer Interaction · Computer Science 2024-11-19 Ahmed Mohamed , Mostafa Ali , Shahd Ahmed , Nouran Hani , Mohammed Hisham , Meram Mahmoud

Mobile learning through wireless enabled laptops (say, within a university campus) can make use of the learning management system that is already available through internet or intranet. Without restrictions within the four walls of computer…

Computers and Society · Computer Science 2014-10-17 S. M. Jacob , B. Issac

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

This paper introduces a novel, generic active learning method for one-class classification. Active learning methods play an important role to reduce the efforts of manual labeling in the field of machine learning. Although many active…

Machine Learning · Computer Science 2019-01-11 Patrick Schlachter , Bin Yang

The increasing use of Artificial Intelligence (AI) by students in learning presents new challenges for assessing their learning outcomes in project-based learning (PBL). This paper introduces a co-design study to explore the potential of…

Human-Computer Interaction · Computer Science 2024-01-30 Chengbo Zheng , Kangyu Yuan , Bingcan Guo , Reza Hadi Mogavi , Zhenhui Peng , Shuai Ma , Xiaojuan Ma

The growth of smartphone users globally is a factor that educational technologists should not ignore. This ever-growing market will eventually lead to ubiquitous learning (u-learning). The development of specific content should be replaced…

Computers and Society · Computer Science 2021-11-02 Daniel Serna-Poot

This article discusses an effort to encourage student-instructor interactive engagement through active learning activities during class time. We not only encouraged our students to speak out when an opportunity arises but also required them…

History and Overview · Mathematics 2022-03-04 N. Karjanto

Active learning (AL) is a widely-used training strategy for maximizing predictive performance subject to a fixed annotation budget. In AL one iteratively selects training examples for annotation, often those for which the current model is…

Machine Learning · Computer Science 2019-11-05 David Lowell , Zachary C. Lipton , Byron C. Wallace

This article describes the reform of a physics undergraduate lab course by introducing new technologies such as Arduino microcontroller and smartphone, to help students experience a more authentic lab experience. This paper outlines the…

Physics Education · Physics 2023-11-02 Eugenio Tufino , Giovanni Organtini

Active learning is a promising paradigm to reduce the labeling cost by strategically requesting labels to improve model performance. However, existing active learning methods often rely on expensive acquisition function to compute,…

Machine Learning · Computer Science 2023-10-27 Zixin Ding , Si Chen , Ruoxi Jia , Yuxin Chen

Teaching is about constantly innovating strategies, ways and means to engage diverse students in active and meaningful learning. In line with this, SUTD adopts various student-centric teaching and learning teaching methods and approaches.…

Computers and Society · Computer Science 2020-10-30 Nachamma Sockalingam , Junhua Liu