My presentation from the Doctoral conference in education. Slides only.

1. Predicting drop-out in Toastmasters; scoping
out the application of learning analytics to
support professional education.
2nd Online International Doctoral Research
Conference in Education
July 7th 2021
Selina Griffin
EdD Researcher (Year 1) at the Open University

2. @MrGrebo

11. https://psylina.wordpress.com/references

12. TOASTMASTERS
References to helping PS skills
EFL (Nordin and Shaari, 2017 and Usman et al.,
2018)
PR classes (Shadinger, 2016)
Anecdotal
Doctoral thesis (Buquiran, 2014)

13. Little (Tompsett et al., 2017)
Clergy (Carrell, 2009)
Course (Mowbray and Perry, 2015)

14. RETENTION
Intention (Handoko et al., 2019, Jansen et al.,
2020, Mrhar et al., 2020)
Models (Tempelaar et al., 2017)
Course Signals (Arnold and Pistilli, 2012)
still cited today
Analysis of papers (Ferguson and Clow,
2017, Viberg et al., 2018). Mixed. Lack of
robust, large-scale evidence

15. ASSESSMENT
SELF- Combined with trace data –
intention and reality (Ellis et al., 2017)
Additional dimensions to models
As a proxy for competence (Tompsett
et al., 2017)

17. CLUSTERS
Diversity of members
Not just on trace but behaviours
and characteristics; improves
predictions (Mrhar et al., 2020 and
Tempelaar et al., 2017)

18. Photo by Tim Mossholder on Unsplash

19. intervention
Tutor access (Herodotou et al., 2019) but
what did they do?
Administrative intervention, bands
(Herodotou et al., 2020)

20. Photo by Suad Kamardeen on Unsplash

21. Little research on Toastmasters

22. Nothing on predictive analytics in Toastmasters
(or PD)

23. No prior visibility

24. Few studies combine self-reported data with trace

25. Potential of clusters

27. How can we make use of predictive
learning analytics in the
Toastmasters Learning
Management System (Pathways) to
identify Members at risk of non-
renewal?

28. To what extent do learners’
demographics, self-assessments
and behaviour in the Toastmasters
Learning Management System
(Pathways) help predict a certain
type of disengagement risk?

29. psylina@gmail.com
selina.griffin@open.ac.uk
@psylina
https://psylina.wordpress.com/references