Job Vacancies

Post-doctoral Fellow / Senior Research Assistant

(Ref.: 528799)

Requirements

Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences or a related discipline, with a strong background in technology-enhanced learning, learning design and/or learning analytics for teacher learning and pedagogical innovation. Deep knowledge of theories, practices and technological tools related to learning design and learning analytics is crucial. Familiarity with curriculum/pedagogical innovation, leadership for technology-enhanced learning, and/or digital literacy would be a clear advantage. Preference will be given to those with expertise in advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Or those with experience in managing and analyzing large datasets, and the use of generative AI tools for research purposes. The appointee should also have a high level of writing proficiency for academic purposes and for a general audience in both English and Chinese. Good organizational skills, the ability to work independently and interdependently within a team on a tight schedule are essential to succeed in this role. Applicants with a PhD degree may be considered for appointment as a Post-doctoral Fellow. Those with other higher degrees and substantial research experience in relevant areas may be considered for appointment as a Senior Research Assistant.

Duties

The appointee will work closely with the Principal Investigator and the project team, to conduct research in a project on “Establishing an operationalizable teacher-facing model of Design Aware Learning Analytics”. He/She will take a key role in all stages of the research, including but not limited to (a) research and instrument design; (b) data collection, management, analysis and interpretation; (c) preparation for publications in peer reviewed journals and books; (d) working collaboratively with other project team to liaise with schools, professional bodies and other relevant stakeholders; and (e) providing assistance in administrative and dissemination work.

Employment Period

To commence as soon as possible to 31 August 2025.

Application Method

The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until September 30, 2024, or until the post is filled, whichever is earlier.

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Closing Date

September 30, 2024

Part Time Student Research Assistant

(Ref.: 528681)

Requirements

Applicants should be undergraduate students of HKU. Applicants who study Chinese or English language/ literature as their major or minor subject or who are interested in STEAM education, digital literacy, learning design and analytics would be an advantage. The candidate should have excellent command of written Chinese and English. Knowledge in operation of schools and education is preferred.

Duties

To be responsible for helping organize project activities like workshops, and doing transcription, data collection, analysis and curriculum development support work. Student helpers can complete transcription at home and return the completed transcripts to the project team via email.

Employment Period

To commence as soon as possible until 31 August 2025.

Application Method

Applicants who are interested in this part time job, please visit https://shorturl.at/KEIiO and complete the tasks below:
1. Translate part 1 into English;
2. Translate part 2 into Chinese;
3. Transcribe the soundtrack into written Chinese;
4. Write down the time taken of each task and

Applicants should apply online and upload an up-to-date C.V. & completed tasks. Review of applications will start as soon as possible and continue until September 30, 2024, or until the posts are filled, whichever is earlier.

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Closing Date

September 30, 2024

Part Time Senior Research Assistant / Part Time Research Assistant

(Ref.: 528594)

Requirements

Applicants should possess a Master’s degree or above, preferably in Education, Social Science, Computer Science or other relevant fields with substantial years of experience in working with school/community-related projects and/or previous research experience (particularly quantitative data analysis and qualitative interviews and coding). They should have good interpersonal and communication skills to be capable of communicating with schools and other stakeholders to coordinate the implementation of the project. A person who holds Hong Kong teacher qualification (e.g. a local Teacher's Certificate or Post-graduate Diploma/Certificate in Education) and has experience in learning design and curriculum development is a definite advantage. They should also have an excellent command of spoken and written English and Chinese (preferably in Cantonese), and good IT skills. Preference will be given to those who have familiarities with the local education system and working or research experiences in the development of e-learning with computer mediated reality (e.g., augmented reality, and virtual reality), project coordination, and event organization such as seminars and conferences. Those with lower qualifications and/or less experience may be considered for appointment as Research Assistant.

Duties

The appointee will oversee the progress of participating schools and ensure teachers and students are effectively engaged in the project. As the primary point of contact for assigned schools, the appointee will be responsible for managing various aspects of the project, such as coordination among participating schools about the development of lesson plans, learning activities and tasks with computer mediated reality, implementation of project in various participating schools, progress reporting, and coordination with evaluations (literature review, paper-based and online data collection and analysis, etc). Additionally, he/she may be assigned other tasks as needed.

Employment Period

To commence as soon as possible for 6 months with the possibility of renewal subject to funding availability and satisfactory performance.

Application Method

The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until December 31, 2024. or until the post(s) are filled, whichever is earlier.

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Closing Date

December 31, 2024

Part Time Research Assistant I/II

(Ref.: 526979)

Requirements

Applicants should possess a Bachelor’s degree in Science, Social Sciences, Education or a related discipline. They should have an excellent command of written and spoken English and Chinese (Cantonese), good communication, IT and organization skills, and experience in conducting qualitative and/or quantitative research. A higher degree in Science, Technology, Mathematics, Engineering or Education is a definite advantage. Preference will be given to those with good research skills (e.g. conducting interview and analyzing qualitative and quantitative data e.g. using SPSS), and experience in organizing STEAM activities.

Duties

The appointee may assist the project team to conduct school visits, literature review, surveys, interviews, data collection and analysis; organize project events and perform other duties as assigned.

Employment Period

To commence as soon as possible until 31 August 2025.

Application Method

The University only accepts online applications for the above post.  Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until October 31, 2024, or until the post is filled, whichever is earlier.

Apply Now

Closing Date

October 31, 2024

Senior Research Assistant (holding the functional title of School Development Officer)

(Ref.: 526964)

Requirements

Applicants should possess a Bachelor’s degree or above in English, Science, Mathematics, Information Technology, Engineering, Education or a related discipline, and a recognized teaching qualification. They should have at least 3 years of relevant teaching experience, good communication skills, and an excellent command of written and spoken English and Chinese (Cantonese).

Duties

The appointee will work on a project on the development of an e-learning system that integrates learning design and learning analytics functions to a Moodle-based learning management system. He/She is expected to provide school-based professional support to teachers of local schools, and work closely with the project team to manage and coordinate different aspects of the project as outlined below: -
1. to coordinate and liaise with different parties on the planning, development, implementation and evaluation of various project activities;
2. to work collaboratively with project team members to support participating teachers of the project to design, implement and evaluate school-based curriculum using an integrated Intelligent DEsign-Aware Learning analytics system (including the learning design studio for teachers as a design tool, iLAP platform for students and learning analytics for providing feedback to teachers, students and parents) at primary and secondary levels;
3. to work collaboratively with participating teachers in designing school-based curriculum;
4. to organize project activities that foster the development of schools’ multi-level leadership capacity for transformative e-learning innovations;
5. to draft project reports, develop project deliverables, design related qualitative and quantitative research, conduct data collection and analysis; and
6. to perform other duties as assigned.

Employment Period

To commence as soon as possible until 31 August 2025.

Application Method

The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until September 30, 2024, or until the post is filled, whichever is earlier.

Apply Now

Closing Date

September 30, 2024
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