Resource-management-and-administration
A school uses the data collected when students enrol to predict and better organise the number of students who will attend in the coming year. The AI system is also used to assist with forward planning, resource allocation, class allocations and budgeting. This has enabled the school to consider more student attributes than before, for example, to increase gender parity and student diversity. The school is now considering using prior grades and other metrics like standardised tests to develop targets for their students to achieve and to support educators to predict student success on a per subject basis. The following guiding questions highlight areas that require attention: - Who is responsible for the ongoing monitoring of results produced by the AI system and how the results are being used to enhance teaching, learning and assessment? Accountability - Are there mechanisms to ensure that sensitive data is kept anonymous? Are there procedures in place to limit access to the data only to those who need it? Privacy and data governance - How is the effectiveness and impact of the AI system being evaluated and how does this evaluation consider key values of education? Accountability