Asst Blended Learning Technical Mgr / Senior Blended Learning Technical Officer

FACULTY OF ARTS AND SOCIAL SCIENCES

Assistant Blended Learning Technical Manager / Senior Blended Learning Technical Officer ()

The Education Technologist will be responsible for assisting the University in converting face-to-face courses into blended learning formats. The appointee will support teachers in creating online learning activities on learning platforms such as Moodle or related LMS facilitate the production of video content using Panopto and develop course learning and assessment materials.

Responsibilities:

Blended Learning Development

• Convert traditional face-to-face courses into blended learning formats;
• Design and develop online learning activities and resources on LMS platforms like Moodle;

Video Production Support

• Provide technical support and training for the use of Panopto for video production;
• Assist in the creation and editing of educational videos to enhance online learning experiences;

Course Material Development

• Develop and enhance course learning materials and assessments for blended learning environments;
• Ensure that all materials are pedagogically sound and aligned with course objectives;

Technical and User Support

• Offer technical support to teachers and students in using LMS and other e-learning tools; and
• Conduct face-to-face and online training workshops and develop user guides for LMS users.

Requirements:

• A masters degree in Learning Design Education Technology Multimedia/Digital Design IT Computer Science Computer Engineering or related fields with at least 2 years of relevant work experience in instructional/learning design in an educational institution or the educational technology industry; OR a bachelors degree in related disciplines with at least 5 years of relevant work experience;
• Strong technical skills in programming and knowledge in PHP MySQL JavaScript RESTful API CSS and HTML;
• Proficiency in modern front-end frameworks/libraries such as and Tailwind CSS is essential;
• Knowledge of principles of programming and proficiency in Python and are preferred;
• Experience in using learning analytics to support learner feedback and intervention;
• Experience in higher education e-learning development and cloud/local AI models is a definite advantage;
• Excellent conceptual skills strong analytical skills and comprehensive knowledge of programming principles;
• Self-motivated have a strong sense of responsibility able to work independently and in a team underpressure; and
• Good command of written and spoken English. Fluency in Chinese (includingPutonghua) would be an asset.

Shortlisted candidates will be invited to attend a written test and an interview.

The initial appointment will be made on a fixed-term contract for two years. Re-appointment thereafter will be subject to performance review mutual agreement and availability of funding.

Salary will be commensurate with qualifications and experience.

Application Procedure:

Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not invited for interview 8 weeks after the submission of application may consider their applications unsuccessful. Details of the Universitys Personal Information Collection Statement can be found at University reserves the right not to make an appointment for the post advertised and the appointment will be made according to the terms and conditions applicable at the time of offer.

Review of applications is ongoing until the positions are filled.