This course facilitates academic debate about the aims of education and encourages a more questioning and critical stance on curriculum and assessment across...

International Perspectives on Education Reform: Curriculum and Assessment (CPAS0094)

This course facilitates academic debate about the aims of education and encourages a more questioning and critical stance on curriculum and assessment across international contexts. Over the course of ten weeks, students will be introduced to a range of international models of learning and associated pedagogies, assessment paradigms and epistemological assumptions. We will explore contemporary international models of curriculum planning and curriculum questions in order to extend your knowledge of contemporary international models of assessment planning and policy. By the end of the module, you will have developed critical understanding of socio-cultural and political influences on international curriculum and assessment and to apply this understanding to an analysis of contemporary curriculum/assessment. The content will vary according to current reforms, but key issues may include: assessment-led curricula, marketization, performativity and high stakes testing (this list is not exhaustive and the topics will vary according to the nature of policy issues that are currently important in relation to education).

Aims:

This module aims to prepare students for their final project/ dissertation. Students will put into context their final project into context and develop...

Artificial Intelligence for Domain-Specific Applications Project Preparation (COMP0190)

Aims:

This module aims to prepare students for their final project/ dissertation. Students will put into context their final project into context and develop an understanding of the rationale behind the numerous experimental studies in the literature. Ethical considerations and implications of using ML and AI for application in Biomedicine & Healthcare and Sustainable Development will be covered during this module.

At the end of the module, students will be expected to apply their understanding of methodology to critique existing research, design their own research, carry out their own analysis and communicate clearly with academic specialists and non-specialists.

Learning outcomes:

On successful completion of the module, a student will be able to: 

Assimilate and demonstrate understanding of basic research methods which will be applied during the project/ dissertation.
Exhibit knowledge regarding state-of-the-art AI algorithms and approaches related to the project/ dissertation.
Demonstrate familiarity with the datasets to be used during the project/ dissertation.
Content:

Research Methods, Ethical and Regulatory Considerations.
	Scope and place their final-term projects in the literature.
	Project dataset gathering and curation.
Requisites:

To be eligible to select this module as an optional or elective, a student must be registered on a programme and year of study for which it is formally available.