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eSTEeM Projects

eSTEeM is providing a mechanism for professional development through practice-based scholarship within a mentored community. Much of our work is organised on a project basis with project management aimed at the delivery of new educational outcomes and scholarship outputs. 

eSTEeM supports a rolling portfolio of approx. 80 active scholarship projects under a number of themes which include:

  • Access, Participation and Success
  • Innovative assessment
  • Online/onscreen STEM practice
  • Supporting students
  • Technologies for STEM learning

To learn more about our projects, please click on the project titles or use the search feature below by entering keywords. To search by the name of a project leader, please use the 'Filter by Project Leader' tab on the right-hand side of this page.

The search found 264 result(s)

Search results

    Usage of Early Alerts Indicators on two level 1 modules

  1. Carol CalvertAlison BromleyChris Hughes

    2. The Open University (UK) has developed two systems of predictive modelling to identify students at risk.

    November 2018 to December 2019

    Associate Lecturer Reflections on Student Perceptions of Usefulness of Level 1 Service Mathematics

  2. Andrew PotterGerry Golding

    3. Investigations into students’ attitudes toward mathematics learning is well documented in the literature. The student’s perception of the usefulness of his/her mathematical studies to his/her chosen degree pathway can affect retention rates, as well as progression in later STEM study.

    May 2019 to December 2021

    STEM ISSS - where are we now? Evaluating awareness, usage and effectiveness of individual student support sessions

  3. Fiona MoormanKaren New

    4. Our distance learning students study in isolation and are an increasingly diverse cohort, many with disabilities and balancing work, family and caring commitments alongside study workload, with many students opting to study at high intensity with potential overlap between J and B presentations.

    May 2019 to December 2021

    Evaluating student perspectives of different types of learning events provided on SDK228, a level 2 LHCS module

  4. Janette Wallace

    5. SDK228, Science of the mind: Investigating mental health was a level two interdisciplinary Life, Health and Chemical Science (LHCS) module that attracted students from a variety of backgrounds including health and natural sciences, health and social care, nursing, psychology and counselling.

    April 2019 to October 2021

    Summer Series of Journal Clubs: an opportunity to develop employability skills and a sense of community amongst students in secure environments

  5. Karen NewFiona MoormanHannah Gauci

    6. In keeping with the ethos ‘open to all’, The Open University (OU) has provided higher education opportunities to students in secure environments (SiSE) for over 40 years, currently reaching over 150 secure environments (Open University, 2020).

    June 2019 to January 2021

    Evaluating the level 1 engineering tutors resource

  6. Anne-Marie GallenClare Reger

    7. Reusability is a key concept for educators. For many of the associate lectures at the Open University, the group tuition policy has resulted in repetition of tutorial structure and delivery with ALs across clusters giving similar tutorials on the same topics at similar times.

    March 2019 to October 2019

    The Mathematics and Statistics Community of Learners

  7. Rachel Hilliam

    8. The Mathematics and Statistics Study Site was created in September 2017 and was one of a number of pilot study sites in the OU. Many of the resources on the site have grown out of smaller scholarship projects.

    May 2019 to December 2020

    Qualification Study websites: uptake and practice

  8. Georgy Holden

    9. This project sought to understand how the subject sites are being used and how they are perceived by students. The project took the approach of looking at all of the undergraduate subject sites in STEM.

    May 2019 to February 2021

    Disproved predictions of at-risk students: Some students fail despite doing well, others succeed despite predicted as at-risk

  9. Martin Hlosta

    10. Most of the research around the identification of at-risk students and the prediction of their performance using Machine Learning focuses on developing the most accurate model.

    April 2019 to October 2020

    Improving success and satisfaction of credit transfer students entering L3 modules in Science

  10. Eleanor CrabbJane Loughlin

    11. Credit transfer students are often regarded as having the potential to succeed in distance learning.

    May 2019 to December 2021

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