Collaborative Feature Learning from Social Media

Image feature representation plays an essential role in image recognition and related tasks. The current state-of-the-art feature learning paradigm is supervised learning from labeled data. However, this paradigm requires large-scale category labels, which limits its applicability to domains where labels are hard to obtain. In this paper, we propose a new data-driven feature learning paradigm which does not rely on category labels. Instead, we learn from user behavior data collected on social media. Concretely, we use the image relationship discovered in the latent space from the user behavior data to guide the image feature learning. We collect a large-scale image and user behavior dataset from Behance.net. The dataset consists of 1.9 million images and over 300 million view records from 1.9 million users. We validate our feature learning paradigm on this dataset and find that the learned feature significantly outperforms the state-of-the-art image features in learning better image similarities. We also show that the learned feature performs competitively on various recognition benchmarks

Collaborative pedagogy and digital scholarship: a case study of 'Media Culture 2020'

This paper presents an educational case study of ‘Media Culture 2020’, an EU Erasmus Intensive Programme that utilised a range social media platforms and computer software to create open, virtual spaces where students from different countries and fields could explore and learn together. The multi-disciplinary project featured five universities from across Europe and was designed to develop new pedagogical frameworks to encourage collaborative approaches to teaching and learning in the arts. The main objective of the project was to break down classroom and campus walls by creating digital learning environments that facilitated new forms of production, transmission and representation of knowledge. Media Culture 2020 was designed to pilot a novel mode of ‘blended learning’, demonstrating a number of ways in which ‘Web 2.0’ networked technologies might be adopted by academics to encourage open and collaborative modes of practice. The project utilised a number of social media platforms (including Facebook, Twitter, Google+, Google Hangout, Google Docs and Blogger) to enhance the learning experiences of a diverse set of students from different cultural and international contexts. In doing so, Media Culture 2020 enabled participants with a diverse range skills and cultural experiences to develop new working practices that respond to the convergence of digital media and art, as well as the internationalisation of media production and business, through the use of open, interactive software

Learning through collaboration: video game wikis

The wiki, wherein community-spirited players meticulously document their gaming experiences for the benefit of others, from simple guides to complex theories and strategies, has become the de facto online reference medium for video game players. This study sought to examine how players learn from one another about the systems that underpin their favourite games and how they engaged with social media – wikis, in particular – to facilitate this collaborative learning. It is argued that in collating, synthesizing and disseminating the often complex behaviours observed in a modern video game, the wiki author is displaying academic proficiency in a non-academic field. Drawing on a series of interviews with gaming wiki contributors and users, the practices of those engaged in using gaming wikis are discussed, together with an account of the research methods used. In undertaking such research, a number of challenges and concerns were encountered: these, too, are described

Harnessing Collaborative Technologies: Helping Funders Work Together Better

This report was produced through a joint research project of the Monitor Institute and the Foundation Center. The research included an extensive literature review on collaboration in philanthropy, detailed analysis of trends from a recent Foundation Center survey of the largest U.S. foundations, interviews with 37 leading philanthropy professionals and technology experts, and a review of over 170 online tools.The report is a story about how new tools are changing the way funders collaborate. It includes three primary sections: an introduction to emerging technologies and the changing context for philanthropic collaboration; an overview of collaborative needs and tools; and recommendations for improving the collaborative technology landscapeA "Key Findings" executive summary serves as a companion piece to this full report

Media Culture 2020: collaborative teaching and blended learning using social media and cloud-based technologies

The Media Culture 2020 project was considered to be a great success by all the partners, academics and especially the students who took part. It is a true example of an intercultural, multidisciplinary, blended learning experience in higher education that achieved it goals of breaking down classroom walls and bridging geographical distance and cultural barriers. The students with different skills, coming from different countries and cultures, interacting with other enlarges the possibilities of creativity, collaboration and quality work. The blend of both synchronous and asynchronous teaching methods fostered an open, blended learning environment, one that extended the traditional boundaries of the classroom in time and space. The interactive and decentralized nature of digital tools enabled staff and students to communicate and strengthen social ties, alongside participation in the production of new knowledge and media content. For students and lecturers, the implementation of social media and cloud platforms offered an innovative solution to both teaching and learning in a collaborative manner. By leveraging the interactive and decentralised capabilities of a range of technologies in an educational context, this model of digital scholarship facilitates an open and dynamic working environment. Blended teaching methods allow for expansive collaboration, whereby information and knowledge can be accessed and disseminated across a number of networked devices

The Impact of Cultural Familiarity on Students’ Social Media Usage in Higher Education

Using social media (SM) in Higher education (HE) becomes unavoidable in the new teaching and learning pedagogy. The current generation of students creates their groups on SM for collaboration. However, SM can be a primary source of learning distraction due to its nature, which does not support structured learning. Hence, derived from the literature, this study proposes three learning customised system features, to be implemented on SM when used in Higher Education HE. Nevertheless, some psychological factors appear to have a stronger impact on students’ adoption of SM in learning than the proposed features. A Quantitative survey was conducted at a university in Uzbekistan to collect 52 undergraduate students’ perception of proposed SM learning customised features in Moodle. These features aim to provide localised, personalised, and privacy control self-management environment for collaboration in Moodle. These features could be significant in predicting students’ engagement with SM in HE. The data analysis showed a majority of positive feedback towards the proposed learning customised SM. However, the surveyed students’ engagement with these features was observed as minimal. The course leader initiated a semi-structured interview to investigate the reason. Although the students confirmed their acceptance of the learning customised features, their preferences to alternate SM, which is Telegram overridden their usage of the proposed learning customized SM, which is Twitter. The students avoided the Moodle integrated Twitter (which provided highly accepted features) and chose to use the Telegram as an external collaboration platform driven by their familiarity and social preferences with the Telegram since it is the popular SM in Uzbekistan. This study is part of an ongoing PhD research which involves deeper frame of learners’ cognitive usage of the learning management system. However, this paper exclusively discusses the cultural familiarity impact of student’s adoption of SM in HE