Research Assistant (Temp), Teaching & Learning Centre

About the role

The Teaching & Learning Centre at Singapore University of Social Sciences (SUSS) is looking for a temporary Research Assistant to support a study examining the educational functions of immersive technologies across disciplines. The study uses a multiple-case comparative approach to build a typology of those functions, helping higher education curriculum designers choose and design immersive experiences based on educational intent rather than technology alone. The employment runs from 15 November to 31 December 2026, approximately 1.5 months.

Key responsibilities

• Conduct a literature review on immersive technologies in higher education, covering their educational functions, pedagogical applications and learning outcomes.
• Help develop a coding framework based on the literature review to guide analysis of immersive technology projects.
• Support the development and refinement of student survey instruments to examine perceived learning outcomes.
• Assist in collecting, organising and managing research data, including project documentation, interviews and survey responses.
• Support qualitative data analysis, such as coding project documents and interview transcripts to identify educational functions and pedagogical practices.
• Assist in quantitative analysis of survey responses.
• Help prepare research summaries, reports, presentations and other research materials.
• Carry out other research-related duties assigned by the Principal Investigator.

Required profile

• Bachelor's degree, or currently pursuing an undergraduate or postgraduate degree, preferably in Education, Social Sciences, Psychology, Sociology or a related discipline.
• Good written and verbal communication skills in English.
• Strong organisational skills and attention to detail, especially when handling qualitative research data.
• Ability to work independently, manage research tasks systematically and meet agreed timelines.

Required skills

• Familiarity with qualitative and quantitative research methods and data analysis.
• Ability to search academic databases for literature.
• Proficiency in Microsoft Word and Excel.