Gravity assist: report of the digital teaching and learning review (February 2021)

In summer 2020, in response to the first national COVID-19 lockdown, we used learning analytics data to manage a calling campaign to students who appeared to have been most disadvantaged by the transition to wholly online learning. In essence, we pulled together a team of volunteers to contact students who appeared to have disengaged from …

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Minimising Risk vs Maximising Success: learning analytics intervention strategies

At the other end of the phone is a student. Your learning analytics tool has predicted that they may be at risk of early departure. Under the circumstances they are likely to benefit from a supportive, sympathetic conversation, or perhaps they need a nudge or a jolt to make them realise they need to re-engage. …

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Onwards from Learning Analytics (OfLA)

At the time of writing, we are entering the final year of our latest Erasmus+ collaborative project. Onwards from Learning Analytics (OfLA) is a learning analytics project interested in supporting students at risk of leaving university early or failing to achieve their potential. We don't take the view that students ought to be retained no …

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Moving Student Inductions Online: NTU Welcome Workshop case study

New student induction is a process. Students start their courses with some understanding of what it's going to be like, with a mountain of expectations and plenty of anxieties. Historically, universities often rush the transition process and seek to squeeze it into an administratively convenient week of guest lectures, important messages and introductory events. Of …

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Teaching in a COVID world: how the sector moved online

I'm sick of COVID. I'm sick of the isolation. I'm sick that virtual isn't the same as in real life. I know we've probably only got months to go now, but I'm sick of it all the same. It seems that at the moment there is a lot of discourse is about how hard it …

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Using learning analytics in personal tutorials: breaking into students’ consciousness

The last post was about some of the psychological hurdles that we need to overcome in order for students to realise that they need to change and the one before about the importance for tutors of relationship building and setting short term goals. This short piece is about how the use of learning analytics data …

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Personal Tutoring: strategies for changing student behaviour

Interview with Janette Alvarado-Cruz (@JanetteValezka) July 2019The interview explored issues of strategies for tutors advising students who appeared to be at risk of dropping out or failing to achieve their potential. These questions are core to the OfLA Erasmus+ Project: what do we do from the point where learning analytics (LA) have identified that a …

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Diagnosing student ‘risk’: categorising learning analytics to prevent early withdrawal

Universities are awash with data about students that could function as early warning signs that a student may need help. These data sources range from the highly personal, for example tutors observing that a student appears to be having a bad day, to the highly systematised, for example automatic early warnings based on a metric …

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