Dropout-risk-and-grade-prediction
“A school is considering how AI systems can help reduce barriers for students with special educational needs. The school is currently trialling an AI system to detect student support demands early on and provide tailored instructional support. By detecting patterns of corresponding characteristics from measures such as learning performance, standardised tests attention span or reading speed, the system suggests probabilities of specific diagnoses and related recommendations for interventions. The following guiding questions highlight areas that require attention: - Are procedures in place for teachers to monitor and intervene, for example in situations where empathy is required when dealing with learners or parents? Human agency and oversight - Is information available to assure learners and parents of the system’s technical robustness and safety? Technical robustness and safety - Is the teacher role clearly defined so as to ensure that there is a teacher in the loop while the AI system is being used? How does the AI system affect the didactical role of the teacher? Human agency and oversight” (European Commission, 2022, p. 23)