It’s that time again – evasys at the DVC/PVC Network

evasys continues to support the DVC/PVC Network events facilitated by Advance HE, and the team are looking forward to attending the upcoming network in Birmingham.

Taking place at The Studio, Birmingham on 8th and 9th November, the next DVC/PVC Network will focus on three key themes, each with built-in opportunities for networking and knowledge sharing.

DVC PVC Network Nov 2023 AdvanceHE cdr
  • Date: 17 & 18 May 2023

  • Location: The Hallam Conference Centre,  London

  • Who: DVCs, PVCs and equivalent senior leaders

Advance HE organises two invitation-only events each academic year, proudly supported by evasys, which bring together an influential community of DVCs, PVCs and equivalent senior leaders with responsibility for learning and teaching, education, or the student experience at member institutions.

Exploring three key themes

The upcoming DVC/PVC Network will be exploring three key themes:

  • 1

    Teaching Excellence Framework
    David Kernohan from Wonkhe will take the group through what can be learned from TEF 2023 results, which will place greater weight on submissions from providers and students.

  • 2

    Higher Education for an AI-enabled workplace
    Academic, student and employer voices will inform this highly interactive session aimed at considering key issues around how generative AI is changing the way we work and learn.

  • 3

    Access and progression in Higher Education: Are we widening the road without fixing the potholes?
    With a positive sectoral response to the challenge of widening access, faculty and institutions must consider how students can be supported to be competent, confident and resilient.

evasys will be on hand for insights on innovative use of surveys

As the leading provider of student insight and evaluation solutions within the HE sector in the UK, evasys partners with more than 60 institutions in the UK and Ireland, and over 1,000 worldwide.  The company’s solution enables universities and colleges to streamline module evaluation and student surveys, whilst driving up response rates and simplifying the management and analysis of large data sets.

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