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Related papers: How to promote informal learning in the workplace?…

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The informal learning in the workplace is realized during daily collaborators' activities and represent more than 75 % of the learning occurring in a company. Enterprise social networks are currently massively used to promote this type of…

Computers and Society · Computer Science 2017-09-28 Carine Touré , Christine Michel , Jean-Charles Marty

-- In this paper, a new approach to impart practical skill based technical education is presented in comprehensive manner. An Electronic Mini-Lab (EML) is devised containing basic design and test instruments with electronic components, ICs,…

Computers and Society · Computer Science 2012-05-08 Vikas J Dongre , Ramkrishna V Yenkar , Vijay H Mankar

Large language models have not only captivated the public imagination but have also sparked a profound rethinking of how we learn. In the third year following the breakthrough launch of ChatGPT, everyday informal learning has been…

Human-Computer Interaction · Computer Science 2025-06-16 Nađa Terzimehić , Babette Bühler , Enkelejda Kasneci

The paper discusses methods, forms and safety issues of social network usage for school students. Taking into consideration the growing interest of students to electronic communication in social networks (ESN), it was described their place…

Computers and Society · Computer Science 2018-07-18 Svitlana Lytvynova , Oleksandr Burov

The advancement of e-learning technologies has made it viable for developments in education and technology to be combined in order to fulfil educational needs worldwide. E-learning consists of informal learning approaches and emerging…

Computers and Society · Computer Science 2014-07-10 Ali Alowayr , Atta Badii

The current dominant paradigm when building a machine learning model is to iterate over a dataset over and over until convergence. Such an approach is non-incremental, as it assumes access to all images of all categories at once. However,…

Machine Learning · Computer Science 2023-02-14 Mert Kilickaya , Joost van de Weijer , Yuki M. Asano

Reinforcement learning has become the central approach for language models (LMs) to learn from environmental reward or feedback. In practice, the environmental feedback is usually sparse and delayed. Learning from such signals is…

Machine Learning · Computer Science 2026-02-17 Taiwei Shi , Sihao Chen , Bowen Jiang , Linxin Song , Longqi Yang , Jieyu Zhao

As the applications of large language models (LLMs) expand across diverse fields, the ability of these models to adapt to ongoing changes in data, tasks, and user preferences becomes crucial. Traditional training methods, relying on static…

Machine Learning · Computer Science 2024-06-11 Junhao Zheng , Shengjie Qiu , Chengming Shi , Qianli Ma

Large language models (LLMs) are increasingly expected to function as collaborative partners, engaging in back-and-forth dialogue to solve complex, ambiguous problems. However, current LLMs often falter in real-world settings, defaulting to…

Artificial Intelligence · Computer Science 2025-07-30 Tenghao Huang , Sihao Chen , Muhao Chen , Jonathan May , Longqi Yang , Mengting Wan , Pei Zhou

Information technology (IT) has been used widely in many aspects of our daily life. After discuss politics related aspects for some articles. In this article author would like to discuss social media for students learning environment.…

Computers and Society · Computer Science 2018-04-24 Leon Andretti Abdillah

The modern workplace is inherently collaborative, and this collaboration relies on effective communication among coworkers. Instant messaging is the multitasking tools of choice most people chatting over IM do other things at the same…

Computers and Society · Computer Science 2013-11-01 Tirus Muya Maina

We introduce the framework of "social learning" in the context of large language models (LLMs), whereby models share knowledge with each other in a privacy-aware manner using natural language. We present and evaluate two approaches for…

Machine Learning · Computer Science 2024-02-09 Amirkeivan Mohtashami , Florian Hartmann , Sian Gooding , Lukas Zilka , Matt Sharifi , Blaise Aguera y Arcas

Inverse reinforcement learning (IRL) is the problem of learning the preferences of an agent from the observations of its behavior on a task. While this problem has been well investigated, the related problem of {\em online} IRL---where the…

Machine Learning · Computer Science 2020-11-19 Saurabh Arora , Prashant Doshi , Bikramjit Banerjee

Although informal online learning communities have proliferated over the last two decades, a fundamental question remains: What are the users of these communities expected to learn? Guided by the work of Etienne Wenger on communities of…

Human-Computer Interaction · Computer Science 2022-11-09 Ruijia Cheng , Benjamin Mako Hill

The use of electronic social networks (ESN) as a new teaching method that is chosen by modern teachers, who have sufficient professional, information and communication competence, passed several stages of formation and nowadays are widely…

Computers and Society · Computer Science 2018-07-17 Svitlana Lytvynova , Olga Pinchuk

Immersive informal environments (such as summer camps, residential programs at museums and science centers, etc.) can provide a venue for young people to explore their scientific thinking in a less formalized context than is available in…

Physics Education · Physics 2007-05-23 Jacob Noel-Storr

According to socio-constructivism approach, collective situations are promoted to favor learning in classroom, at a distance or in a blended educational context. So, many Information and Communication Technologies (ICT) are provided to…

Computers and Society · Computer Science 2007-07-20 Christine Michel , Elise Garrot , Sebastien George

Information technology has made e-learning possible and available on a large scale. Learning management system (LMS) has been widely used and is accessible through the Internet. However, LMS are exposed to various threats. Proper…

Cryptography and Security · Computer Science 2022-09-23 Mohd Faiz Hilmi , Yanti Mustapha

Context: Empirical Software Engineering (ESE) faces increasing challenges due to data scale, methodological complexity, and reproducibility concerns. Large Language Models (LLMs) have emerged as promising tools to support empirical…

Software Engineering · Computer Science 2026-04-30 Victoria Gomes , Delaney Selb , Fabio Palomba , Rodrigo Spinola , David Lo

This document supports a proposed APS statement that encourages academic, research, and other institutions to add the participation in informal science education activities to the criteria they use for hiring and career advancement…

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