Answer to "How can learning analytics inform assessment?"


Topic Editor: Dr. Stefanie Sebok-Syer, Stanford University


By using technology and data analytic approaches, learning analytic systems have the ability to monitor learners’ development and progress. These data could also be used to assess an individual’s abilities and identify areas needing improvement. These systems are able to collect more data, more frequently and generate results in a timely fashion. The use of learning analytics also allows for personalized feedback discussions.


New technologies such as artificial intelligence is making it easier to get insights into student’s learning because it decreases educators’ workload. Learning analytics also provide insights into students learning and study patterns, which can be useful in adapting how content is delivered. The use of technology in learning analytics can make it easier to track the process of student learning rather than simply the outcome.  




  1. Amirah M. S., Wahidah H. & Nur’aini A. R. (2015). A Review on Predicting Student’s Performance using Data Mining Techniques. Procedia Computer Science, 72, 414–422.

  2. Bienkowski, M., Feng, M., & Means, B. (2012). Enhancing teaching and learning through educational data mining and learning analytics: An issue brief. Retrieved from

  3. Dawson, S., & Siemens, G. (2014). Analytics to literacies: The development of a learning analytics framework for multiliteracies assessment. International Review of Research in Open and Distance Learning, 15, 284-305.

  4., E. (2015). 3 ways educational technology tools predict student success. Retrieved from

  5. Khosravi, H. & Cooper, K. (2017). Using learning analytics to investigate patterns of performance and engagement in large classes. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education (pp. 309‐314). SIGCSE '17

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