How do we get there? Steps towards systemic adoption of

learning analytics

Dragan Gašević@dgasevic

October 21, 2016

http://sheilaproject.eu

Educational Landscape Today

Growing need for educationActive learning

Education defunding

Feedback loops between students and instructors

are missing/weak!

LEARNING ANALYTICS

Learning environment

Educators

LearnersStudent

Information Systems

Blogs

Videos/slides

Mobile

Search

Educators

Learners

Networks

Student Information

Systems

Learning environment

Blogs

Mobile

Search

Networks

Educators

LearnersStudent

Information Systems

Learning environment

Videos/slides

CASE STUDIES

Student retention

Year 1 Year 2 Year 3 Year 40.00%

10.00%20.00%30.00%40.00%50.00%60.00%70.00%80.00%90.00%

100.00%

Course SignalsNo Course Signals

Arnold, K. E., & Pistilli, M. D. (2012, April). Course Signals at Purdue: Using learning analytics to increase student success. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (pp. 267-270).

Tanes, Z., Arnold, K. E., King, A. S., & Remnet, M. A. (2011). Using Signals for appropriate feedback: Perceptions and practices. Computers & Education, 57(4), 2414-2422.

Can teaching be improved?

Wright, M. C., McKay, T., Hershock, C., Miller, K., & Tritz, J. (2014). Better Than Expected: Using Learning Analytics to Promote Student Success in Gateway Science. Change: The Magazine of Higher Learning, 46(1), 28-34.

INSTITUTIONAL ADOPTION: CURRENT STATE

Very few institution-wide examples of adoption

Sophistication model

Siemens, G., Dawson, S., & Lynch, G. (2014). Improving the Quality and Productivity of the Higher Education Sector - Policy and Strategy for Systems-Level Deployment of Learning Analytics. Canberra, Australia: Office of Learning and Teaching, Australian Government. Retrieved from http://solaresearch.org/Policy_Strategy_Analytics.pdf

Sophistication model

Siemens, G., Dawson, S., & Lynch, G. (2014). Improving the Quality and Productivity of the Higher Education Sector - Policy and Strategy for Systems-Level Deployment of Learning Analytics. Canberra, Australia: Office of Learning and Teaching, Australian Government. Retrieved from http://solaresearch.org/Policy_Strategy_Analytics.pdf

Current state – Oz and Europe

http://sheilaproject.eu/http://he-analytics.com

Adoption challenge

Lack of leadership for implementation & monitoring

Lack of leadership

Bought an analytics product.

Analytics box ticked!

Adoption challenge

Lack of equal engagement with different stakeholders

Adoption challenge

Lack of sufficient training to use learning analytics

Adoption challenge

Lack of policies for learning analytics practice

What’s necessary to move forward?

DIRECTIONS

Data – Model – Transformation

Barton, D., & Court, D. (Oct 2012). Making Advanced Analytics Work for You. Harvard Business Review, 79-83, https://hbr.org/2012/10/making-advanced-analytics-work-for-you/ar/1

Data – Model – Transformation

Creative data sourcing

Barton, D., & Court, D. (Oct 2012). Making Advanced Analytics Work for You. Harvard Business Review, 79-83, https://hbr.org/2012/10/making-advanced-analytics-work-for-you/ar/1

Social networks are everywhere

Gašević, D., Zouaq, A., Jenzen, R. (2013). ‘Choose your Classmates, your GPA is at Stake!’ The Association of Cross-Class Social Ties and Academic Performance. American Behavioral Scientist, 57(10), 1459–1478.

Data – Model – Transformation

Creative data sourcingNecessary IT support

Barton, D., & Court, D. (Oct 2012). Making Advanced Analytics Work for You. Harvard Business Review, 79-83, https://hbr.org/2012/10/making-advanced-analytics-work-for-you/ar/1

Data – Model – Transformation

Question-driven, not data-driven

Barton, D., & Court, D. (Oct 2012). Making Advanced Analytics Work for You. Harvard Business Review, 79-83, https://hbr.org/2012/10/making-advanced-analytics-work-for-you/ar/1

Learning analytics is about learning

Gašević, D., Dawson, S., Siemens, G. (2015). Let’s not forget: Learning analytics are about learning. TechTrends, 59(1), 64-71.

One size fits all does not work in learning analytics

Gašević, D., Dawson, S., Rogers, T., Gašević, D. (2016). Learning analytics should not promote one size fits all: The effects of course-specific technology use in predicting academic success. The Internet and Higher Education, 28, 68–84.

Learning context

Instructional conditions shape learning analytics results

Learner agency

Kovanović, V., Gašević, D., Joksimović, S., Hatala, M., Adesope, S. (2015). Analytics of Communities of Inquiry: Effects of Learning Technology Use on Cognitive Presence in Asynchronous Online Discussions. The Internet and Higher Education, 27, 74–89.

More time online does not always mean better learning

Data – Model – Transformation

Participatory design of analytics tools

Barton, D., & Court, D. (Oct 2012). Making Advanced Analytics Work for You. Harvard Business Review, 79-83, https://hbr.org/2012/10/making-advanced-analytics-work-for-you/ar/1

Data – Model – Transformation

Participatory design of analytics toolsAnalytics tools for non-statistics experts

Barton, D., & Court, D. (Oct 2012). Making Advanced Analytics Work for You. Harvard Business Review, 79-83, https://hbr.org/2012/10/making-advanced-analytics-work-for-you/ar/1

Visualizations can be harmful

Corrin, L., & de Barba, P. (2014). Exploring students’ interpretation of feedback delivered through learning analytics dashboards. In Proceedings of the ascilite 2014 conference (pp. 629-633). ascilite.

Students don’t perceive dashboards as feedback

Pardo, A., Jovanovic, J. Dawson, S., Gasevic, D. (in preparation). Using Learning Analytics to Scale the Provision of Personalised Feedback.

Data – Model – Transformation

Participatory design of analytics toolsAnalytics tools for non-statistics expertsDevelop capabilities to exploit (big) data

Barton, D., & Court, D. (Oct 2012). Making Advanced Analytics Work for You. Harvard Business Review, 79-83, https://hbr.org/2012/10/making-advanced-analytics-work-for-you/ar/1

Marr, B. (Oct 2015). Forget Data Scientists - Make Everyone Data Savvy, http://www.datasciencecentral.com/m/blogpost?id=6448529%3ABlogPost%3A337288

Policy development

http://sheilaproject.eu/

FINAL REMARKS

Rhetoric of simplistic technological fixes

is unproductive

Embracing complexity of educational systems

Capacity development

Multidisciplinary teams in institutions critical

Ethical and privacy considerationDevelopment of data privacy agency

Prinsloo, P., & Slade, S. (2015). Student privacy self-management: implications for learning analytics. In Proceedings of the Fifth International Conference on Learning Analytics And Knowledge (pp. 83-92). ACM.

Sclater, N. (2014). Code of practice for learning analytics: A literature review of the ethical and legal issues. http://repository.jisc.ac.uk/5661/1/Learning_Analytics_A-_Literature_Review.pdf

Development of analytics culture

Manyika, J. et al. (2011). Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute, http://goo.gl/Lue3qs

Thank you!