This workshop aims at analyzing with an applied and practical perspective different issues and challenges related to learning analytics. Learning analytics can be broadly defined as the methods and techniques to reach conclusions about the learning process in order to improve it. First of all, there is a need of collecting data since you cannot improve what you do not monitor. Nowadays, there are proper technical tools to collect and retrieve all the interactions of the users with the different learning resources and activities. The retrieve of these data enables its analysis and the application of learning analytics for improving the learning process. Scenarios such as MOOCs (Massive Open Online Courses) provides a good case study as it makes even more necessary the application of learning analytics techniques because there is a need of tools for teachers to easily monitor the learning process and students for receiving automatic feedback and awareness. The correct practical application of learning analytics can bring a lot of advantages. Many issues should be considered for a successful application of learning analytics in courses and in the organizations as a whole.
This is a half-day Workshop that will held on 18 September 2015 within the 10th European Conference on Technology-Enhanced Learning. The workshop will be composed of:
- Oral presentation of selected papers. The Programme Committee members will select the contributions to be presented. Full papers will have an allocated time of 20 min. for presentation, while short papers will have 12 min. for presentation. At least 1/3 of the time should include questions from other workshop participants.
- Hands on Tutorial on exploratory data analysis of educational data sets using Python and Spark. Participants will learn some current techniques in exploratory data analysis of educational data sets (small and large) using the iPython notebook and Apache Spark environment. Knowledge of Python is not a pre-requisite.
- Interactive discussion about current challenges for the practical application of learning analytics.
- Interactive discussion about current software tools for learning analytics.