TRANSFORMING HIGHER EDUCATION THROUGH EXCEPTIONAL ONLINE LEARNING

Authors

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Sandro Leidi:
Lead advisor and course author

A senior statistician at the Statistical Services Centre, University of Reading, Sandro has been working in Statistics since 1997, training professionals and providing training to institutions. Along with his colleagues, he has been delivering statistical e-learning since 2004. His consultancy group has many renowned clients, including the National Audit Office, UK, and the United Nations Framework Convention for Climate Change.

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Wilma Alexander:
Accessibility advisor

Wilma Alexander is part of the Learning Services team at the University of Edinburgh, supporting the use of online tools and technologies across the university. She has a special interest in usable and accessible digital practice, tutors on usability and accessibility for the university's Master's in Digital Education, and promotes the use of online activities for inclusive teaching and learning in the context of staff development.

Learning outcomes

By the end of this course you will be able to:

  • Complete a model report, using the practical knowledge you have gained in the previous courses
  • Gauge how much your statistical knowledge has improved since the beginning of the programme.

Course structure

The diagram on the right explains the chronology of the course. Click on each of the sections to view a more detailed breakdown of this course.

Orientation

Introduction to the course, helping you gain a feel for how it will develop.

Course files

The course content. The target knowledge and concepts are introduced during this stage.

Highlights

Course highlights include:

  • A post-programme quiz which gives you the opportunity to retake the pre-programme quiz in the first course, 'Introduction – Statistics in the context of research'. This will show you how much you have improved over the programme!
  • Downloadable model reports to reference when creating your own reports in the future.
  • A model report activity which gives you the chance to put your knowledge into practice by completing a sample model report.
  • An interview with experts providing their top tips for students starting out in research.

Supporting institutions

The Statistical Methods for Research programme has been developed in conjunction with the following institutions:

  • Brunel University, UK
  • Dublin Institute of Technology, Ireland
  • Edith Cowan University, Australia
  • James Cook University, Australia
  • London Metropolitan University, UK
  • Sheffield Hallam University, UK
  • University College Cork, Ireland
  • University of Birmingham, UK
  • University of Brighton, UK
  • University of Huddersfield, UK
  • University of Reading, UK

Authors

Sandro Leidi: Lead advisor and course author

A senior statistician at the Statistical Services Centre, University of Reading, Sandro has been working in Statistics since 1997, training professionals and providing training to institutions. Along with his colleagues, he has been delivering statistical e-learning since 2004. His consultancy group has many renowned clients, including the National Audit Office, UK, and the United Nations Framework Convention for Climate Change.


Wilma Alexander: Accessibility advisor

Wilma Alexander is part of the Learning Services team at the University of Edinburgh, supporting the use of online tools and technologies across the university. She has a special interest in usable and accessible digital practice, tutors on usability and accessibility for the university's Master's in Digital Education, and promotes the use of online activities for inclusive teaching and learning in the context of staff development.


Learning outcomes

By the end of this course you will be able to:

  • Examine a model report and consolidate the practical knowledge you have gained in the previous courses
  • Gauge how much your statistical knowledge has improved since the beginning of the programme.

Course structure

The bullet points below explain the chronology of the course and give a breakdown of each of the sections you will encounter.

Orientation

The Orientation section introduces you to the content and aims of the course. There is an opportunity to assess your current knowledge, to help you evaluate your learning at the end of the course.

  • Introduction

Course files

The course files contain the core course content. The content is divided into units and screens.

  • Unit 1: Model reports
  • Unit 2: Conclusion

Highlights

Course highlights include:

  • A post-programme quiz which gives you the opportunity to retake the pre-programme quiz in the first course, 'Introduction – Statistics in the context of research'. This will show you how much you have improved over the programme!
  • Downloadable model reports to reference when creating your own reports in the future.
  • A reflective activity which gives you the chance to consolidate your understanding of the content and structure of a report
  • An interview with experts providing their top tips for students starting out in research.

Supporting institutions

The Statistical Methods for Research programme has been developed
in conjunction with the following institutions:

  • Brunel University, UK
  • Dublin Institute of Technology, Ireland
  • Edith Cowan University, Australia
  • James Cook University, Australia
  • London Metropolitan University, UK
  • Sheffield Hallam University, UK
  • University College Cork, Ireland
  • University of Birmingham, UK
  • University of Brighton, UK
  • University of Huddersfield, UK
  • University of Reading, UK