mAIchart: A Learning Analytics Tool for Primary School Educators

Technological and scientific advancements in AI in education enabled academic researchers and edtech companies to develop learning environments that are used by students in and outside the classroom for various tasks, such as solving exercises that address their learning goals, self-regulating their learning progress or taking exams to test their ability in a given topic. Although initial efforts were more focused on higher education, schools for primary and secondary education now also use digital platforms to support learning particular subjects, in particular for mathematics and language learning. In the Netherlands, many primary schools use several digital learning environments, both for daily practicing exercises and for assessing, usually twice per year, if students have achieved the expected progress on their learning goals. Each of these systems provides benefits for learning, but they are typically provided by different companies, and the data about the learning progress of students appears in different dashboards with varying interfaces. This implies that teachers have to manually consult different dashboards to obtain an overview of the progress and problems of a student. To tackle this, we develop mAIchart, which is a learning analytics tool that collects data from various digital learning environments, applies learning analytics methods to analyse the collected data, and makes inferences to provide detailed information about the learning progress of students to the teachers with a dashboard.