Khalil Anderson
ABSTRACT
Learning Analytics (LA) has exploded with the growth in Machine Learning applications. LA, while not new, is always changing, and now allows for automated analyses that used to seem impossible. There is still a need for real-time systems while also centering the design around students and data. By using multiple data streams to provide real-time Learning Analytics, this paper aims to describe a plan for creating a system that aids teachers managing classes and improve the collaboration literacy of students while taking into account ethical, privacy, and user concerns. By surveying and engaging with students and teachers, general guidelines in terms of ethics and privacy in LA will be designed. Along with the data, there will be a way to best present this information in a useful and engaging method to students and teachers that would be determined through studies on the efficacy of different User Interfaces (UIs) and data views along with the surveying.
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Index Terms
- Real-time Feedback for Developing Conversation Literacy
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