From learning management systems and communication software to teacher dashboards and adaptive learning technologies, more schools have adopted the use of digital solutions. These digital educational tools and resources collect various trace data and learning data that could be harnessed for the benefit of education. Several dimensions need reflection, each dimension bringing its own implications and questions. The following are some examples:
Pedagogical use
How can student data be used and interpreted to make meaningful decisions about learning? What are the competences needed by teachers to use student learning data purposefully?
Trust and safety
Which actions are needed to keep data safe against security breaches? What is the impact of data ownership on schools depending on who owns and/or processes data?
Equity and inclusion
How to ensure equal access to and equitable use of digital educational tools that harness data, such as teacher/student dashboards and adaptive learning? Students benefit from these tools and resources equally, regardless of socioeconomic background and proficiency level?
Data exchange and comparisons
How to use these data to monitor developments at school, local/regional, and country levels? How to facilitate data analysis and exchange between platforms collecting data at these different levels?
Ethical use
What rules should govern the use of artificial intelligence in schools? What regulations are needed in the exploitation of school data by digital tool providers and third parties? Should parents be able to see everything a student has done online?
Level of Education: School
Lead Organisation: Agile EDU
