The coronavirus pandemic has impacted global society in many ways, not least education, with schools and universities moving many teaching and learning practices online. This paper examines the response of educational institutions in employing learning analytics, an approach which includes the collection and analysis of student data to understand and optimise teaching and learning. A systematic review of publications is undertaken and key themes identified in an attempt to answer the question: How did learning analytics allow educators to respond to learners’ risks and challenges during the pandemic? This study illustrates issues around the rapid adoption of technological solutions outside of the institution; inequality of internet access; considerations of data privacy and longer term consequences; and the need for an agile, but considered policy response.
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Learning analytics in a time of pandemics
1. Learning Analytics in a Timeof Pandemics:
Mapping the Field
Paul Prinsloo, Mohammad Khalil, & Sharon Slade
EDEN 2021
Virtually streamed from Madrid
(22-24 June 2021)
@TuMohdKhalil
@prinsp @SharonSlade
2.
3.
4. Learning analytics
The use of data about students and their
activities to enhance education
Credit: Neil Slater
6. How did we do it?
• Systematic Review
• We went for SCOPUS
Scopus,thelargestinterdisciplinary database ofscholarly articles(Schotten etal.2017).
• Refined search yielded to 162 articles
Schotten, M., el Aisati, M., Meester, W., Steiginga, S. & Ross, C. (2017). A Brief History of Scopus: The World’s Largest Abstract and Citation Database of Scientific Literature. In F.J. Cantu-Ortiz (Ed.) Research Analytics (pp. 31-58). T&F
7. The Delimitation Process(Inc. & exc.)
Duplicates, non-English,
articles in press, &
downloadable
18
Inter-rater agreement
(κ) = 0.77, p < 0.005
9. ResearchFoci of Learning Analytics
8 Themes
The Potential of multimodal Learning Analytics
Adaptive learning and Learning Analytics
Predictive Analytics
Big data, datafication, and AI
Ethics and Privacy
Teacher development
Student behaviour and engagement
Data literacy
10. ResearchFoci of Learning Analytics
8 Themes
The Potential of multimodal Learning Analytics
Adaptive learning and Learning Analytics
Predictive Analytics
Big data, datafication, and AI
Ethics and Privacy
Teacher development
Student behaviour and engagement
Data literacy
11. ResearchFoci of Learning Analytics
8 Themes
The Potential of multimodal Learning Analytics
Adaptive learning and Learning Analytics
Predictive Analytics
Big data, datafication, and AI
Ethics and Privacy
Teacher development
Student behaviour and engagement
Data literacy
12. ResearchFoci of Learning Analytics
8 Themes
The Potential of multimodal Learning Analytics
Adaptive learning and Learning Analytics
Predictive Analytics
Big data, datafication, and AI
Ethics and Privacy
Teacher development
Student behaviour and engagement
Data literacy
13. ResearchFoci of Learning Analytics
8 Themes
The Potential of multimodal Learning Analytics
Adaptive learning and Learning Analytics
Predictive Analytics
Big data, datafication, and AI
Ethics and Privacy
Teacher development
Student behaviour and engagement
Data literacy
14. ResearchFoci of Learning Analytics
8 Themes
The Potential of multimodal Learning Analytics
Adaptive learning and Learning Analytics
Predictive Analytics
Big data, datafication, and AI
Ethics and Privacy
Teacher development
Student behaviour and engagement
Data literacy
15. ResearchFoci of Learning Analytics
8 Themes
The Potential of multimodal Learning Analytics
Adaptive learning and Learning Analytics
Predictive Analytics
Big data, datafication, and AI
Ethics and Privacy
Teacher development
Student behaviour and engagement
Data literacy
16. ResearchFoci of Learning Analytics
8 Themes
The Potential of multimodal Learning Analytics
Adaptive learning and Learning Analytics
Predictive Analytics
Big data, datafication, and AI
Ethics and Privacy
Teacher development
Student behaviour and engagement
Data literacy
18. Invitation to conversation
There is more than LMS
inequality
Haste and the response to
ethics & privacy
Policy & digital infrastructure
response to massive
datafication
19. Invitation to conversation
There is more than LMS
inequality
Haste and the response to
ethics & privacy
Policy & digital infrastructure
response to massive
datafication
20. Invitation to conversation
There is more than LMS
inequality
Haste and the response to
ethics & privacy
Policy & digital infrastructure
response to massive
datafication
21. Invitation to conversation
There is more than LMS
inequality
Haste and the response to
ethics & privacy
Policy & digital infrastructure
response to massive
datafication
22. Invitation to conversation
There is more than LMS
inequality
Haste and the response to
ethics & privacy
Policy & digital infrastructure
response to massive
datafication
23. Thank you
Paul Prinsloo, Mohammad Khalil, & Sharon Slade
EDEN 2021
Virtually streamed from Madrid
(22-24 June 2021)
@TuMohdKhalil
@prinsp @SharonSlade
Notes de l'éditeur
There is no doubt that educational technology is important.
Even before COVID-19, there was already high growth and adoption in education technology
We are quite sure that educational technology including distance and digital education has gained more impetus portions of the global’s interests.
Horizon 2021 just published a week ago.
In universities, colleges and schools we have lots of data, but it has traditionally been stored on paper and in filing cabinets – it’s been hard to access it and to analyse it. But this is changing. Many institutions are now collecting data more consistently and storing it in ways that it can be accessed easily and merged with other datasets to obtain greater insight on the effectiveness of educational processes.
Cornida focused on fostering collaboration using multimodal LA during the pandemic
Two papers. Papers highlight that additional focus is needed to provide adaptive educational models in the time of the covid
There were 6 papers focus on AI, big data and predicative analytics. The focus of the papers claim the importance of identifying Students at risk, and usage of machine learning to predict and examine students behavior
We found 2 papers on ethics and privacy. there should be more focus on the ethical considerations and the data collected during the pandemic in the light of the haste institutions during the emergency teaching time.
4 Papers were found in this category that focused on student perception of new engagement strategies using learning analytics as well as evaluating assessment as a means of understanding learners’ paths during the pandemics.
We found 3 articles under this category. Papers discussed fostering teachers use of ICT and the help of LA that may provide to them
Finally, Data literacy was highlighted by 1 paper on the importance of data literacy in the context of the increased collection and analysis of data during the pandemic. Much talk was on pandemic pedagogies and how to deal with them..
Student data is always an invitation to a conversation (Prinsloo 2019), and considering the huge impact of the pandemic on our students’ lives, their data could potentially tell many stories and invite many conversations.
questions can be raised as to the capacity of data limited to the LMS to provide institutions with a detailed view of how students are progressing and learning
the pandemic illustrated how unequal access to the internet is, and this inequality of access is gendered, raced and geo-political from contexts of the global south and also the global north!
A point worthy of consideration is whether the haste in responding to the emergency resulted in institutions, educators and students choosing technologies and applications without due consideration of privacy and ethical issues and concerns
The final point to raise for reflection is how nimble and responsive both the policy environment (both on national, regional and institutional) and digital infrastructure were in terms of responding to the increasing digitalisation and datafication of education.