LEARNING ANALYTICS AND THE CoI FRAMEWORK
D. Randy Garrison
September 3, 2018

Advances in learning analytics focused on understanding and shaping the learning environment would seem to have a natural fit with regard to text based online learning transactions? In this regard, Terry Anderson (2017) has suggested that analytics can support group discussion through monitoring the activities and progress of participants. However, the key in my mind is to recognize the role of a coherent theoretical approach. Learning analytics must be driven by legitimate educational dynamics. We must be sure to measure what is important to the goals of a learning experience. This is why it is essential to have a meaningful and defensible theoretical framework that can guide us to the important dynamics of deep and meaningful learning. Only then can learning analytics provide powerful information in shaping a worthwhile learning experience. In this regard, learning analytics can be extremely useful in assessing the efficacy and efficiency of a complex community of learners. More specifically, learning analytics can be extremely beneficial in revealing the personal and collaborative complexities of a community of inquiry.

In terms of the Community of Inquiry framework (CoI), analytics can provide invaluable diagnostic information with regard to the constructive progression of the inquiry process shaped by social and teaching presence. Diagnostic analytics have considerable practical potential to assess leadership (teaching presence) and a trusting environment (social presence) to ensure the successful development of collaborative inquiry (cognitive presence). Analytics can greatly inform teaching presence by achieving a balance of the presences and making decisions with regard to the progression of the inquiry process. Learning analytics in support of creating a CoI has the powerful potential to place participants in charge of their learning through shared metacognitive awareness. Considering the dynamic complexity of a community of inquiry, learning analytics could be an invaluable tool for the efficiency and effectiveness of collaborative approaches to thinking and learning.

Insight into the use of learning analytics to inform a community of inquiry has been provided by recent studies. This exploratory research using automated content analysis focused on cognitive presence manifested through the phases of inquiry. First, a study by Waters et al. (2015) concluded that the structural classification of cognitive presence showed promise in automating the detection of inquiry in online discussions. A similar study by an expanded group of researchers from the previous study concluded that this approach showed great potential and could be used “to provide a real-time overview of the progress for a group of students and to point out the students for which progress estimates are uncertain” (Kovanovic, 2016, p. 23).

Learning analytics has enormous potential to help educators understand the characteristics of critical discourse as well as identify areas after the fact that could be improved through redesign. That said, as stated previously, it seems to me that learning analytics is dependent upon a clear framework of teaching and learning such as that provided by the CoI framework. A recent report (West et al., 2018) explored the possible use of learning analytics and the CoI framework to develop metrics to improve outcomes. They concluded that there “were very few data points that arose... that could not be mapped to the CoI” (West et al., 2018, p. 26). These preliminary results indicate the potential of merging learning analytics with the CoI framework.

When we first began developing the CoI framework we recognized that coding transcripts was impractical in terms of providing timely guidance to a community of inquiry. While automated coding was not realistic at the time, I had a belief that one day this would be a possibility. I can safely say that the time has arrived where learning analytics can provide practical diagnostics with regard to the dynamics of a community of inquiry. Hopefully other researchers will join the challenge to use learning analytic assessments to understand the dynamics of a community of inquiry in real time. In conclusion, I strongly believe learning analytics is one of the more exciting lines of innovative research that can have a practical influence on the effectiveness of communities of inquiry.



REFERENCES

Kovanovic, V.,Joksimovic, S. Waters, Z., Gasevic, D., Kitto, K., Hatala, M., & Siemens, G. (2016). Towards automated content analysis of discussion transcripts: A cognitive presence case. Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, Edinburgh, UK, April. Retrieved January 29, 2018 from: http://vitomir.kovanovic.info/public/papers/Kovanovic et al. - 2016 - Towards Automated Content Analysis of Discussion Transcripts.pdf

Waters, Z., Kovanovic, V., Kitto, K., & Gasevic, D. (2015). Structure matters: Adoption of structured classification approach in the context of cognitive presence classification. Paper presented to 11th Asia Information Retrieval Societies Conference, Brisbane, QLD, Australia, December. Retrieved January 29, 2018 from: https://www.researchgate.net/publication/283463324

West, D., Luzeckyj, A., Searle, B., Toohey, D., & Price, R. (2018). The Use of Learning Analytics to Support Improvements in Teaching Practice. Innovative Research Universities. Melbourne, Australia. Retrieved May 17 from: https://www.researchgate.net/publication/324979461




POST A COMMENT
CONTRIBUTE A RESPONDING EDITORIAL


ABOUT THE AUTHOR

D. Randy Garrison
Professor Emeritus, University of Calgary
D. Randy Garrison is professor emeritus at the University of Calgary.Dr. Garrison has published extensively on teaching and learning in adult, higher and distance education contexts. He has authored, co-authored or edited twelve books and well over 100 refereed articles/chapters.His recent books are Thinking Collaboratively: Learning in a Community of Inquiry (2016) and E-Learning in the 21st Century: A Community of Inquiry Framework for Research and Practice (3rd Edition) (2017), and he recently won the Association for Educational Communications and Technology, Division of Distance Learning Book Award (2nd place), 2017.


EDITORIAL KEYWORDS



RECENT EDITORIALS

Shared Metacognition
D. Randy Garrison
October 23, 2018
If I had to pick an area of research with the greatest potential for understanding thinking and learning in a collaborative setting it would have to be shared metacognition . The primary reason for this is that deep and meaningful learning (ie, ...

Validity of CoI
D. Randy Garrison
September 29, 2018
Students have frequently asked me for references that validate the CoI framework and associated survey instrument. My first response was to share the data that I had discussed in the third edition of E-Learning in the 21st Century ; but this ...

Learning Analytics and the CoI framework
D. Randy Garrison
September 3, 2018
Advances in learning analytics focused on understanding and shaping the learning environment would seem to have a natural fit with regard to text based online learning transactions? In this regard, Terry Anderson (2017) has suggested that analytics can ...

Learning Outcomes and Presences
D. Randy Garrison
July 10, 2018
In this post I will pick-up on the topic of learning outcomes and the CoI framework that I addressed in a previous editorial ( June 19, 2017

Assessment of CoI Revisions
D. Randy Garrison
June 1, 2018
For those interested in the theoretical aspects of the CoI framework let me draw your attention to an inventory and assessment of proposed CoI revisions provided by Kozan and Caskurlu (2018). They review articles that argue for either including new ...
The Community of Inquiry is a project of the Centre for Distance Education at Athabasca University, researchers of the Community of Inquiry framework, and members of the CoI community.