Curriculum Reform at the University of Hong Kong – Assessing Employability Skills

Thursday 31st May from 10:30 – 13:00
Sumpner Lecture theatre

Curriculum reform involves changes in educational system, program structures and objectives, leading to changes in approaches to teaching and students’ learning outcomes. These changes often focus on areas such as higher order thinking skills, standards and employability skills which have been lobbied by employer demands to introduce skills development strategy in higher education. Often these changes need corresponding changes in assessment as assessment drives learning. Hong Kong is currently going through such changes both in higher education and in secondary education, it is known as the “334”.

In this seminar/workshop, some of these changes will be introduced and how assessment is transforming in Hong Kong higher education. Cases on how some faculties are integrating employability into the curriculum and how they are assessing these skills, the difficulties they encountered and the students’ perception will be discussed. Finally, we will exchange ideas on future collaborations particularly on the topic of assessing employability.

Please email Zara Kendrick to confirm your attendance by Friday 25^th May.

Biography

Dr Cecilia K Y Chan is currently an assistant professor at the Centre for the Enhancement of Teaching and Learning at the University of Hong Kong. She was born in Hong Kong but grew up in Ireland. Cecilia’s bi-cultural background has allowed her to understand the multi-dimensional needs of students and teachers in different parts of the world. She worked as an engineering professor for over ten years in Ireland and has many practical experiences in relation to learning and teaching, and has won many teaching and learning awards. Cecilia has been involved in numerous researches particularly in the development of employability skills, assessment, technology enhanced learning and student retention, recruitment and motivation. Cecilia holds a PhD in the field of digital signal processing and machine vision in Electrical Engineering, a postgraduate diploma and a MA in Higher Education. She has just received a Fellowship from King’s College London.