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Becky P.Y. Loo Associate Professor, Department of Geography

Seminar on NSS Geography Public Assessment September 25, 2008 (Thursday) Lecture Theatre, EDB Education Services Centre, HK. Setting data-based and short-essay questions for HKDSE (with the illustration of sample questions). Becky P.Y. Loo Associate Professor, Department of Geography

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Becky P.Y. Loo Associate Professor, Department of Geography

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  1. Seminar on NSS Geography Public Assessment September 25, 2008 (Thursday) Lecture Theatre, EDB Education Services Centre, HK Setting data-based and short-essay questions for HKDSE(with the illustration of sample questions) Becky P.Y. Loo Associate Professor, Department of Geography Associate Dean, Faculty of Social Sciences The University of Hong Kong

  2. NSS Geography in September 2009 (7+2)*1 C1 FD C2 ( ) + * E1 E2 C3 E3 E4 C4 C5 C6 C7

  3. Knowledge and understanding Curriculum Learning Outcomes Pedagogy • Skills • Values and attitudes Assessment

  4. Ten Broad Learning Outcomes:

  5. Transport Development, Planning and Management • The development of transport and logistics in Hong Kong.

  6. Zhujiang Delta Hong Kong • Why was Hong Kong able to become such an important transport and logistics hub? • Many current news and latest development • Global outlook Rest of the World

  7. Transport problems in Hong Kong. • Why can’t we solve it? • Relationships • Transport & the environment • Transport & land use • Transport & spatial structure … • Many current news and latest development • Who should decide?

  8. 3. Transport planning and traffic management in Hong Kong. • Hong Kong: One of the most transit-oriented cities in the world • Theories, skills and applications • Infrastructure, traffic management & sustainability

  9. 4. A regional case study: The transport system of the Zhujiang Delta and the role of Hong Kong. • What is the regional transport infrastructure of the Zhujiang Delta? • How well is the transport system integrated with Hong Kong? • Freight transport and logistics • Cross-boundary issues

  10. Setting the Questions for Public Examination • Knowledge & understanding • Specific modes • Multi-modalism • Relationships (land use, energy, environment, etc.) • Sustainability • Skills • Rich sources of data • Governments, operators, etc. • Data analysis • Trends, tables, charts, maps, etc. • Values and attitudes • Regional integration/development • Global outlook • Sustainability issues

  11. Discuss the factors affecting the location of the container ports. As one of the world’s busiest container ports, how has the container port of Hong Kong facilitated the growth of the logistics industry in Hong Kong? • Short essay • Theory • Analysis • Learning outcomes

  12. Discuss the factors affecting the location of the container ports. As the world’s busiest container port, how has the container port of Hong Kong facilitated the growth of the logistics industry in Hong Kong? Better students

  13. Discuss the factors affecting the location of the container ports. As the world’s busiest container port, how has the container port of Hong Kong facilitated the growth of the logistics industry in Hong Kong? L&T in HK Regional Case Study

  14. Table 3 shows the annual transport passenger journeys of different public transport modes in Hong Kong in 1995 and 2005. Table 3 (a) (i) What are the annual average growth rates of patronage for the different railway modes in Hong Kong over this period? (3 marks) (ii) Give reasons for the differential growth rates of railway patronage in Hong Kong. (3 marks)

  15. (b) (i) Draw a pie chart showing the modal split for these different public transport modes in 2005. (4 marks) (ii) Describe the major changes of the non-railway modes over time. (2 marks) (iii) Discuss the major problems associated with an increase in the on-road traffic. (6 marks) • Learning outcomes Better students

  16. Table 3 shows the annual transport passenger journeys of different public transport modes in Hong Kong in 1995 and 2005. … Transport Problems in HK Transport P & M in HK

  17. Comprehensive coverage • Balanced emphasis on knowledge, skills and values • Learning outcomes of the curriculum • Current/Real-life examples • Ability for better students to excel

  18. An example of rich government data:

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