ABSTRACT
In this workshop, we investigate the concept of highly informative learning analytics and propose a methodology for designing an environment that delivers highly informative learning analytics. The workshop is designed as a hands-on, interactive session that allows participants to test the methodology’s potential in a realistic use case. The proposed approach is based on the four-stage process of the Design Cycle for Education (DC4E). We exemplify practical tools that were designed in-house for each stage, including a tool to support teachers while designing learning activities – the Fellowship of Learning Analytics (FoLA2), a learning analytics infrastructure integrated with Moodle – Edutex, and two Moodle plugins for learning activities that enable the collection of rich trace logs – Hyperchalk and the Concept Mapping Plugin. Finally, we discuss potential use cases that can be suitable for the methodology.
METHODOLOGY

OBJECTIVES
In this workshop, we investigate the concept of highly informative learning analytics. The workshop is thought of as a hands-on, interactive session. We plan to demonstrate the proposed LA cycle in this workshop and allow the participants a hands-on experience. The workshop activities are divided as follows:
in the morning – Part 1:
- Welcome and initial remarks
- A discussion of a representative task with the FoLA2 methodology. The participants are divided into groups, each group is given a FoLA2 board with which they need to design the learning session choosing among a set of available activities.
coffee break
- Each group presents their resulting designed sessions with the chosen design elements.
- The groups engage in a discussion in which they map the chosen activities with a set of existing tools.
in the afternoon – Part 2:
- The participants explore the collaborative whiteboard tool Hyperchalk and the Collaborative concept mapping tool.
- How to define the right process data indicators from the learning activities
coffee break
- Groups discuss
- A tour of the existing application use cases using the proposed process