Recruitment of Student Helpers

The Chinese University of Hong Kong
Centre for Learning Enhancement and Research 5/F, Hui Yeung Shing Building
https://cloud.itsc.cuhk.edu.hk/mycuform/view.php?id=2078069

Dear students,

We are currently looking for student helpers with advanced SPSS skills (e.g., students who have SPSS experience studying in public health or statistics to assist with survey data calculation). Besides we need students from the Education Faculty to help coding some interview transcriptions. The tasks will be compensated based on the completion of each task.

If you meet the criteria and are interested in this opportunity, please reach out to Jesse Lee, Research Assistant at the Centre for Learning Enhancement and Research. You can contact Jesse via email at jesselee@cuhk.edu.hk or WhatsApp at 5325-7338.

Thank you for your attention, and we look forward to working with you.

Best wishes,

Jesse LEE
Research Assistant
Centre for Learning Enhancement and Research
Personal Particulars
1. Student Name *
2. Student I.D. No. *
3. Major *
4. Are you a member of any of the following colleges? *

4. Are you a member of any of the following colleges? * 1. Chung Chi College 2. New Asia College 3. United College 4. Shaw College 5. Morningside College 6. S.H. Ho College 7. CW Chu College 8. Wu Yee Sun College 9. Lee Woo Sing College 10. I do not belong to any colleges 11. C.W. Chu College 12. Madam S.H. Ho Hostel for Medicine students 13. Other hostels not mentioned above 14. I lived off-campus with other students 15. N.A.
5. Faculty *

5. Faculty 1. Arts 2. Business 3. Education 4. Engineering 5. Law 6. Medicine 7. Science 8. Social Science
6. Your Country of Origin: *

6. Your Country of Origin: 1. Mainland China 2. Hong Kong 3. Indian 4. Pakistan 5. Indonesia 6. Malaysia 7. Others (Pls Specify) 7. Others (Pls Specify)
7. I am currently registered for studying the full-time programme: *

7. I am currently registered for studying the full-time programme: 1. Undergraduate degree 2. Postgraduate level
8. Your year of study? *

8. Your year of study? Year 1 Year 2 Year 3 Year 4 Year 5 Year 6
9. Gender

9. Gender 1. Male 2. Female 3. Other
10. Contact phone number/ Whatsapp number *
11. Email *
12. Which task would you like to help us? (Can select more than one) *

12. Which task would you like to help us? (Can select more than one) 1. Transcription of survey interview 2. Coding of survey interview by main themes. (Students from Education will be preferred) 3. Advanced SPSS data analysis e.g. CFA (Students from Public health and Statistics will be preferred)
13. Experience in using SPSS *

13. Experience in using SPSS Beginner Level Intermediate Level Advanced Level Never
Thank you for expressing your interest in assisting us as student helpers and contributing to these research projects! We appreciate your willingness to be a part of our team.

Please remember to register with OSA for student helper before you can work for us. https://www.osa.cuhk.edu.hk/flourishingcuhk/student-helper-engagement-scheme/for-students/

If you would like to obtain more information , please contact the Centre for Learning Enhancement And Research at 3943-0510 or email jesselee@cuhk.edu.hk
Collection of Personal Information

1. Provision of personal data is voluntary. The information collected will be used for the purposes of courses and communication for this course. Only authorized personnel in the Centre can access the information.

2. Under the provisions of the Personal Data (Privacy) Ordinance, you can access and apply for amendment of the data in this form. Please contact the staff of our Centre if necessary.

3. I understand and give consent to the collection of my personal data. All information given in this application form are accurate to the best of my knowledge.
Disclaimer This form is owned by Lai Fong Lee (CLEAR).
Please send comments and enquiries related to the form to here.
If you find the form is in violation of the Terms of Service, please let us know here.

Recruitment of Student Helpers

Recruitment of Student Helpers

Personal Particulars