“The Promise and Peril of Artificial Intelligence for Teaching and Learning,” addressed the benefits and challenges higher education will encounter as advances in predictive technology become a common business practice.
Contemporary education policy and practice is increasingly influenced by developments in data analytics. The big data analytics story of the year so far concerns the alleged 'psychographic' profiling techniques of data analytics firm Cambridge Analytica and its use of the personal data of millions of Facebook users.
To ensure every stakeholder involved in the design and development of autonomous and intelligent systems is educated, trained, and empowered to prioritize ethical considerations so that these technologies are advanced for the benefit of humanity.
If data about struggling students is to be used in a way that supports their mental wellbeing rather than harms it, what kind of data do learners want to see and what actions do they want it to trigger? We find out from projects that have talked to their students to discover just that.