He is working on research projects exploring how technology can be used to understand and influence human behavior. He has experience in the use of digital devices in areas such as behavioral analytics, social networks, computer-supported collaboration, personalization and technology-enhanced learning. George Siemens is the Executive
AbstractThe massive adoption of technology in learning processes comes with an equally large capacity to track learners. Learning analytics aims at using the collected information to understand and improve the quality of a learning experience. The privacy and ethical issues that emerge in this context are tightly interconnected with other aspects such as trust, accountability and transparency. In this paper, a set of principles is identified to narrow the scope of the discussion and point to pragmatic approaches to help design and research learning experiences where important ethical and privacy issues are considered.
Introduction: privacy in learning environmentsThe use of information and communication technology has significantly changed how learning experiences are conceived and deployed. The widespread use of various digital devices together with cloud computing allows for learning scenarios not previously considered. Students are now able to access a myriad of learning resources, interact with applications focusing on a specific topic, enhance their experience in virtual environments, augment reality and connect with others through social networks. The progress of technology evolves together with the capacity to record the events occurring in a learning environment. Every interaction and resource accessed can be captured and stored. As a consequence, learning scenarios can now be analyzed using big-data analytics techniques. Although the use of new technology is shaping the way we learn, a more significant change may derive from the use of big-data analytics (Siemens & Long, 2011).