Insights from learning data
What is Learning Analytics?
Learning analytics can be defined as “the collection, analysis and reporting of data about learners in their context, for purposes of understanding and optimizing learning and the environment in which it occurs” (Siemens et. Al).
Past research relied to a large extent on students’ self-reports of how they learn in self-study, the evolution of e-learning and the possibility of tracking online behaviour offers new ways of measuring actual self-study activities.
By recording a learner’s online traces in educational materials and analysing the data, learning and teaching can be improved.
Multi-Modal Learning Analytics
The proliferation of sensors has presented the learning community with new ways of measuring learning beyond completion data from learning management systems.
Multi-modal learning analytics provide evidence of learning from multiple sources and aggregates them in a coherent way to give holistic predictive and prescriptive power to institutions and teachers.
We can help you know your learners with
Exploring emotional reactions to educational gamification with facial expression analysis
Testing the impact of VR on the learning experience with EEG
Investigating how student emotions shape learning
Looking at how reading shapes retention with eye tracking
Integrate xAPI data from the LMS and other sources with biosensor data.
We help you setup and integrate your LRS with your LMS and BI solutions.
We help you know where you are in the learning data lifecycle and help you move up.
We help you report learning analytics insights to all stakeholders.