Using data more creatively to improve student experience

MacFadyen, Ann and Foster, Carly (2018) Using data more creatively to improve student experience. In: RCN Education Forum National Conference and Exhibition 2018: Partners in practice: nurses working together through change, 20-21 March 2018, Newcastle upon Tyne.

Full text not available from this repository.

Abstract

In the current environment, with particular scrutiny of the quality and impact of teaching within Higher Education, the need for evidence to support the effectiveness of academic practice has become increasingly apparent. Competition for students has resulted in greater emphasis on completion rates and the quality of the programmes. This presentation will explore the effectiveness of two sources of evidence currently used to quantify and enhance student experience and progression. It will outline how one University has developed strategies to make student data more accessible to staff on order to inform programme delivery and student support. The student experience is a complex, but not unfathomable, series of contextual variables. One method of unpicking and understanding these variables is Learning Analytics, which has been growing in popularity amongst UK institutions over the last decade. In general Learning Analytics is “the measurement, collection, analysis and reporting of data about the progress of learners and the contexts in which learning takes place” (Sclater, Mullan, & Peasgood, 2016, p.4) however its potential is far more exciting for the student journey. There is increasing focus on applying the outputs of Learning Analytics to future cohorts using feature-designed models and predictive analytics to create bespoke learning environments and experiences for students. This allows Universities to take an evidence-based ‘what works’ approach (Harrison and Waller, 2017, p. 81) to designing and resourcing student support and wellbeing programmes at the micro level (individual students), the meso level (programmes and departments) and the macro level (university wide). The lessons learned from a pilot study that provides relevant and timely student information to personal tutors will be shared during this session. Student satisfaction is an abstract concept, and the National Student Survey is a proxy measure, a barometer that focuses on only a part of this broader concept. The challenge in optimising student satisfaction is not merely the selection of the measures with which to assess this concept, but in the design of learning and teaching which delivers both a quality student experience and promotes optimum attainment. An evolutionary approach building on collaboration between strategic planners and academic staff has enabled educators to make increasingly intelligent use of this data.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Educational analytics, Student experience
Subjects: X300 Academic studies in Education
Department: Faculties > Engineering and Environment > Architecture and Built Environment
Related URLs:
Depositing User: Paul Burns
Date Deposited: 21 Dec 2018 11:41
Last Modified: 18 Feb 2019 12:14
URI: http://nrl.northumbria.ac.uk/id/eprint/37418

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence