The module aims to critically evaluate a number of contemporary issues and controversies associated with the complex construct of learning disorders and other special educational needs. Different issues related to children’s exceptionalities will be analyzed through the synthesis of recent advances in neuroscience, psychological research, and instructional interventions. Students will move beyond observation to design research-informed frameworks that support the adjustment of students in regular schools, while developing scalable, evidence-led counselling and guidance approaches for inclusive education. Furthermore, the course will critically challenge existing educational myths and popular practices, exploring professionalism and ethics through the lens of rigorous contemporary research. Relevant AI and GenAI options, as well as AI literacy, will also be incorporated in the learning process and assessments.
A. Critically evaluate the efficacy of existing support systems for children with learning difficulties. B. Design research-informed instructional frameworks to mitigate barriers to school adjustment by synthesizing insights from neuroscientific and psychological research. C. Develop and pitch a feasible, evidence-led intervention program that demonstrates clear scalability and addresses the needs of multifaceted stakeholders (parents, teachers, or policy-makers). D. Critically reflect on current research studies and popular practices related to supporting the development of children with learning difficulties.
The teaching sessions include both lectures and seminars which work together to engage students with key conceptual, theoretical, and methodological insights, as well as dedicated opportunities for critical reflection. Students will also engage in collaborative and individual practice, and iterative development of resources and strategies that could be used for children with special needs at home or in educational settings. Students will be supported to engage critically and ethically with relevant AI and GenAI tools as part of the learning process. Teaching will also incorporate opportunities to develop AI literacy, with attention to evidence quality, professional judgement, safeguarding, bias, accessibility, and responsible use in educational contexts.