This webinar explores innovative approaches to harnessing data, and the growing recognition of its potential to support whole-of-institution strategies for student success.
Benefit of this resource and how to make the best use of it
This webinar explores innovative approaches to harnessing data, and the growing recognition of its potential to support whole-of-institution strategies for student success.
Primarily aimed at Ireland’s higher education teachers and policy-makers/managers, this interactive online event discusses what an effective data-enabled student success strategy looks like. It also explores a range of national and international best practice on dynamic data-led student success initiatives.
The speaker line-up includes Linda Hanna who discusses her experience of implementing a successful institutional learning analytics strategy at the University of Essex. The award-winning use of everyday software to provide personalised feedback to large student groups is presented by GMIT’s Dr Cormac Quigley. Dr Niamh Nestor and Diane Cashman explore UCD’s advanced learning analytics initiative.
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National Forum (11/05/2019). Learning analytics: what works?. National Resource Hub (Ireland). Retrieved from: https://hub.teachingandlearning.ie/resource/learning-analytics-what-works/ License: Creative Commons Attribution (CC BY).
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This scientific paper describes the co-creation of the UCD sustainability dashboard – the first transferable template to support geographically-specific SDG monitoring within HEIs. This paper contributes to debates on the need for spatial reporting of actions towards sustainability, to meaningfully recognise local SDG implementation progress.
The resource is a template for surveying students about their timetabling experiences. The survey was deployed in MTU, but the template is free to be copied and adapted as needed.
A. Hickey, C. O’Faolain, J. Healy, K. Nolan, E. Doheny and P. Cuffe, “A Threat Assessment Framework for Screening the Integrity of University Assessments in the Era of Large Language Models”, presented at 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, Lecco, Italy, September 2024
