About IguideME

In IguideME, learning data from various learning activities and assessments will be collected and visualised for each student. In addition, learning data is linked to the learning outcomes and is also used to calculate the final course grade. The lecturer can also use this dashboard as an early warning system and detect students who may drop out. The project team compared the usefulness of various feedback tools in the learning process. For example, it determines which tool suits the chosen didactics best and how the functionalities of feedback tools can be properly integrated into the educational design and teaching practice.

Positive results using the dashboard

In June 2023, the project team published a paper about the results of the dashboard in the Journal of Learning Analytics: ‘IguideME: Supporting Self-Regulated Learning and Academic Achievement with Personalized Peer-Comparison Feedback in Higher Education’.

The results showed that the treatment group outperformed the control group in Motivated Strategies for Learning Questionnaire (MSLQ) components, like "metacognitive self-regulation" and "peer learning,", as well as in the Achievement Goal Questionnaire (AGQ) component "other-approach" (striving to do better than others). The treatment group also excelled in reading assignments and achieved higher grades in high-level Bloom exam questions.