Abstract

There are several issues compromising the educational role of social networks, particularly in the case of video-based online content. Among them, individual (cognitive and emotional), social (privacy and ethics) and structural (algorithmic bias) challenges can be found. To cope with such issues, we propose a recommendation system for online video content, applying the principles of sustainable design. Precision and recall in English were slightly lower for the system in comparison to YouTube, but the variety of recommended items increased; while in Spanish, precision and recall were higher. Expected results include fostering the adoption of complex thinking by taking on account a user’s objective and subjective contexts.

Highlights

  • The variety and availability of social networking sites in the Web have a®ected the way in which students learn

  • It is thought that the adoption rate of social networking sites by faculty is over 90%,32 with Facebook and YouTube being the most cited

  • The Spanish term sostenible was employed to search videos, but it was found that the term sustentable was frequently used to refer to sustainable design

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Summary

Introduction

The variety and availability of social networking sites in the Web have a®ected the way in which students learn. Some educators create Facebook groups, upload presentations in SlideShare or send assignments through Coursera. Toshimasa who choose a self-learning approach can try websites like Khan Academy or videobased websites like TED. It is thought that the adoption rate of social networking sites by faculty is over 90%,32 with Facebook and YouTube being the most cited

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