Social Media Learning Activities (SMLA): Implications for Design
نویسندگان
چکیده
منابع مشابه
Cognitive Load Implications of Social Media in Teaching and Learning
Teaching and learning in the 21st century had taken advantage of technology to foster effective learning through multimedia education, active learning and improved classroom interaction. Social media have particularly helped in the area of content sharing and learner collaborations. Several schools in both developing and developed nations have incorporated social media as informal Learning Mana...
متن کاملMechanism Design for Incentivizing Social Media Contributions
Despite recent advancements in user-driven social media platforms, tools for studying user behavior patterns and motivations remain primitive. We highlight the voluntary nature of user contributions and that users can choose when (and when not) to contribute to the common media pool. A Game theoretic framework is proposed to study the dynamics of social media networks where contribution costs a...
متن کاملMachine Learning for Social Media Analytics
The rise of the blogosphere has empowered the average consumer to influence the public perception and profitability of brands. As such, marketing organizations need to be aware of what people are saying in influential blogs, how the expressed opinions could impact their business, and how to extract business insight and value from these blogs. This has given rise to the emerging discipline of So...
متن کاملUsing Machine Learning Algorithms for Automatic Cyber Bullying Detection in Arabic Social Media
Social media allows people interact to express their thoughts or feelings about different subjects. However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine l...
متن کاملOptimal Design for Social Learning
This paper studies the design of a recommender system for organizing social learning on a product. To improve incentives for early experimentation, the optimal design trades off fully transparent social learning by over-recommending a product (or “spamming”) to a fraction of agents in the early phase of the product cycle. Under the optimal scheme, the designer spams very little about a product ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Online Learning
سال: 2020
ISSN: 2472-5730,2472-5749
DOI: 10.24059/olj.v24i1.1967