Centre for Learning and Teaching
Ref. no : C/CLT/PO/08/24-AP2
Major Duties:
(a) To provide training and support to various academic disciplines and operational units regarding curriculum design and development, syllabus writing, assessment, as well as learning and teaching strategies in alignment with the VTC’s learning and teaching initiatives;
(b) To develop and facilitate training programmes, seminars, webinars and workshops for teacher development, including sharing of best learning and teaching practices as well as latest and prevailing pedagogies especially in the areas of artificial intelligence in education, teachers’ research skills and microcredentials;
(c) To develop e-resources such as e-exemplars, e-tutorials and micro videos to promote and support the implementation of artificial intelligence in education in academic disciplines and operational units and the development of online teaching resources portal;
(d) To assist in the design, development, maintenance, optimisation and implementation of digital and IT applications such as enrolment and training system, data visualisation system, and content management system; and
(e) To coordinate with external and internal stakeholders for provision of IT and media services, technical specifications, procurements and compliance with the Council’s information security policies / guidelines.
Requirements:
(a) A recognised degree or a post-graduate qualification, preferably in computer science / information technology / multimedia / education / training or equivalent;
(b) At least 3 years’ relevant experience, preferably with experience as a teacher in the context of Vocational and Professional Education and Training (VPET);
(c) Good communication and presentation skills in both English and Chinese;
(d) Good knowledge of learning and teaching strategies and assessment;
(e) Solid experience in development and delivery of training programmes, and learning resources development in at least one of the following areas:
(i) Artificial Intelligence in Education;
(ii) Teachers’ Research Skills; and
(iii) Microcredentials; and
(f) Applicants would have an advantage if they possess any of the following:
(i) solid experience and skills in web programme languages, IT project design, development and management;
(ii) rich knowledge in artificial intelligence, emerging and innovation technologies, teachers’ research skills or microcredentials;
(iii) hands-on experience in content management system, data analytics, system administration and network maintenance; and
(iv) proven knowledge and practical experience in e-learning and Education Technology (EdTech) etc.
Notes:
(1) The post is at the rank of “Lecturer”.
(2) Applicants with substantial experience and achievements in the relevant field but without the required academic / professional qualifications OR those with exceptional academic / professional qualifications but with less experience may also apply.
(3) Shortlisted applicants will be required to take a written assessment.
(4) The appointee(s) may be required to work outside normal office hours.
Application Procedures:
Interested applicants should apply for the post via email. A completed application form [VTC-1 (Rev. 6/2024)], together with a full curriculum vitae, should be sent to vtchrd-job@vtc.edu.hk.
Candidates should take note of the following:
(1) Completed application form (VTC-1) and detailed curriculum vitae (CV) should be combined into one file in PDF format with a file size below 10MB.
(2) The file should be saved with the applicant’s name as “your surname and given name”, e.g. “CHAN Tai-man.pdf”.
(3) For the email subject, please cite “Application for Project Officer (C/CLT/PO/08/24-AP2)”.
(4) Original and copy of other supporting documents are to be provided at a later stage upon request.
Closing date for application: 8 September 2024
Applicants not invited for interview within 10 weeks from the closing date may consider their applications unsuccessful.
The Council reserves the right not to fill the post(s).
Personal data collected will be used for recruitment purposes only. Information on unsuccessful candidates will normally be destroyed 12 months after the completion of the recruitment exercise.
Download Application Form in PDF format