Open University of Catalonia

About: Open University of Catalonia is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Collaborative learning & Educational technology. The organization has 1943 authors who have published 4646 publications receiving 64200 citations. The organization is also known as: Universitat Oberta de Catalunya & UOC.

ICT and Older People: Beyond Usability.

Abstract: This study examined the use that older, regular users of computers make of information and computer technology in their daily lives. Opinions from such users were obtained regarding what they want these technologies to offer them in the future. By means of a discussion group and an online questionnaire, our critical case examined a group of mature senior students from the Universitat Oberta de Catalunya (online learning) who have used computers and the Internet in their activities. In general, the participants needed to know the function of the tool beforehand and to have continued support and confidence. In particular, they need the certainty that the future technology will allow them to maintain their independence and autonomy. Older people's adoption of IT needs to be treated as more than merely a question of usability. Attitudes, experience of use, and perceived benefits are also key aspects that must be taken into account.

Relationships Among Motivational Climate, Satisfaction, Perceived Ability, and Fair Play Attitudes in Young Soccer Players

Abstract: The present study examined relationships among perceptions of motivational climate, perceived ability, satisfaction and fair play attitudes in young soccer players. Participants were 472 male Catalan players (from 10 to 14 years). Results indicated that perceptions of a task-involving climate were positively associated with satisfaction in practices and self-referenced perceived ability and were inversely related to rough play attitudes and normative perceived ability. In addition, perceptions of an ego-involving motivational climate were related positively with normative perceived ability and with favorable attitudes towards winning in a soccer game. The differences across motivational climate profiles groups revealed that the highest level of acceptance of rough play was found in the subgroup with a low-task/high-ego orientation. In contrast, the lowest level of acceptance of rough play was found in the opposite subgroup of high-task/low-ego. The findings support the importance of creating a task-involv...

What is the future of mobile learning in education

Abstract: The evolution of wireless technologies and the development of applications for mobile devices in higher education have been spectacular. For many educators, mobile technology in the field of teaching and learning has recently become one of the most important areas of research. Today, mobile learning is a strategic topic for many organizations concerned with education. In the future, more research should be conducted to transform education using mobile learning. The advent of new types of devices is disruptive to education, no matter what educators and education institutions do. Therefore, a thorough analysis, from a pedagogical and technological perspective, is key to ensuring appropriate usage and implementation of mobile learning. This Special Section of RUSC. Universities and Knowledge Society Journal presents a general overview of successful mobile learning experiences in higher education. Its aim is to share best practices and create new opportunities in universities. These mobile applications will add another layer to the learning and teaching processes.

Robust gait-based gender classification using depth cameras

Abstract: This article presents a new approach for gait-based gender recognition using depth cameras, that can run in real time. The main contribution of this study is a new fast feature extraction strategy that uses the 3D point cloud obtained from the frames in a gait cycle. For each frame, these points are aligned according to their centroid and grouped. After that, they are projected into their PCA plane, obtaining a representation of the cycle particularly robust against view changes. Then, final discriminative features are computed by first making a histogram of the projected points and then using linear discriminant analysis. To test the method we have used the DGait database, which is currently the only publicly available database for gait analysis that includes depth information. We have performed experiments on manually labeled cycles and over whole video sequences, and the results show that our method improves the accuracy significantly, compared with state-of-the-art systems which do not use depth information. Furthermore, our approach is insensitive to illumination changes, given that it discards the RGB information. That makes the method especially suitable for real applications, as illustrated in the last part of the experiments section.