Everything you do on the internet is either monitored by Facebook or Google. Facebook knows what dj’s I like and in most adds on facebook advertisement is something that suits me. But there are not only people trying to sell your data so they can give you the advertisements that suits you best, the way you work on for instance blackboard is also monitored. Learning analytics is a thing that is already happening and a new trend where learning institutions try to analyze what they know and monitor about their students. The type of data being collected is things like students interaction with software like blackboard but also information about motivation and other emotion (Siemens & Baker, 2012)
Some research suggested that learning analytics can help improve learning (Arnold & Pistilli, 2012). Their seem to be two main aims for learning analytics, evaluation and prediction (Greller & Drachsler, 2012). With evaluation the student talks with a teacher on how to improve things and with prediction there is being predicted how the student will perform in the future. With the last one there is the danger of misinterpretation can the data really predict anything? Schoonbeek (2014) says blackboard use in the first few months of the first year can predict whether the student will make it through their first year. Slade & Prinsloo (2013) says students learning analytics have a few drawbacks. The data simplifies learning process and isn’t an accurate enough picture which can cause prejudice and from misinterpreted learning analytics there can be a lot more prejudices both positive and negative which could have a bad influence on the student.
For as far as I know now learning analytics could have some pros and cons, but should it really be used and is that okay? In my opinion it can be good as long as there is some code of confidentiality and the data is used in a correct way. The data should not be the total picture that is being made but students should also be monitored and have some kind of guidance counseling to have a good and more realistic overview to really help out students. In conclusion I think that learning analytics can be helpful are used as a help and are not used to be the only basis for decisions concerning students.
Arnold, K. E., & Pistilli, M. D. (2012). Course Signals at Purdue: Using learning analytics to increase student success. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, 267-270
Greller, W., & Drachsler, H. (2012). Translating learning into numbers: A generic framework for learning analytics.
Schoonbeek, B. (2014) Studiesucces voorspellen met Blackboard Learn. Eindrapportage bij stimuleringsregeling Learning analytics 2013.
Siemens, G., & d Baker, R. S. (2012, April). Learning analytics and educational data mining: towards communication and collaboration. In Proceedings of the 2nd international conference on learning analytics and knowledge (pp. 252-254). ACM.
Slade, S., & Prinsloo, P. (2013). Learning Analytics Ethical Issues and Dilemmas. American Behavioral Scientist, 57(10), 1510-1529.