Learning analytics make student experience “more human”
It’s not often that we associate AI and data collection with the deepening of emotional relationships but the School of History at Queen Mary University of London is using them to do just that. In addition to using technology to deliver online learning, the School is using data to improve pastoral care and enhance the student experience.
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“Because we’re able to keep track of every interaction between teaching staff and students – and can view grades, feedback and attendance data – we’re able to spot and highlight trends early,” explains Daniel Todman, Head of History. “We can identify students at risk of disengagement or see signs of problems in programme delivery and intervene quickly to support staff and students.”
It also allows students to gauge their own sense of progress in their studies. “Academics are able to show a student their grades against an average, which can be reassuring. We find that many students underestimate their ability, so knowing where they are within their cohort can be a backstop against anxiety.”
While learning analytics are not new, the system in the School of History has grown organically to meet the needs of its users, which is the secret of its success according to Todman. “The data management system was designed by Chris Sparks in close partnership with the people using it and has evolved with their active input over time. The information gathered and the ways users interact combine to facilitate a supportive culture that puts students at its heart.”