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.
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.
To commence as soon as possible to 31 August 2025.
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.
The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until July 31, 2024, or until the posts are filled, whichever is earlier.