Should students be told what the data predict about their chances of success? Corporate leaders in predictive analytics business consider the issue posed by an Inside Higher Ed blogger.
Learning analytics make use of the data generated as we learn and teach in order to improve learning and teaching. Rebecca Ferguson, a senior lecturer from The Open University, identifies key areas fo
“Learning Analytics” was a hot topic at EDUCAUSE ELI 2017. After presenting myself and listening to other presentations about learning analytics, I’ve managed to thread together two themes. Lots of…
Are great teaching and assessment fundamentally at odds? One might think so because, unfortunately, the words “test” and “assessment” are often used interchangeably...
Not all learning analytics are the same. Discover how proactive learning analytics help you influence and improve ongoing learning processes by predicting the future and creating recommendations for action. Identify the 4 key elements that will determine the success of your analytics journey.
Bett is the world’s largest education technology event. This year, as to be expected, it did not disappoint, with some very exciting talks and lots of great new products and technologies. In our podcast we chat to Martin Hamilton, our futurist, who shares the best of Bett. You can also read the accompanying blog post.
With Learning management systems like Canvas, Blackboard, D2L and moodle you get system driven data about your student. The issue with that is a lack of accuracy around that data.
public draft articulating eight principles that all higher education institutions should consider when implementing technology for the collection and use of learning data