Developing Novel Intelligent Approaches to Improve National Assessments, E-Learning, and Student Attainment

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Further to the project domain and context, there are a wide selection of aims and objectives that could be explored. For example: To identify appropriate data-driven intelligentapproaches (e.g. ML/AI) and develop an adaptive framework for analysing a diverse range of assessments. To understand how we can gather large volumes of quantifiable data about qualitative assessments to provide deeper insight. Provide learners, teachers, schools and Pearson with a range of insight and potentially recommended interventions to enhance feedback, performance and attainment.