About the role
Senior Learning Data Specialist/Learning Data Specialist (Centre for Innovation in Learning) [NIE] is a active engineering role at ntu in NTU Main Campus, Singapore. Open the role to review the official description and apply on the company site.
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Key Responsibilities
- Work with fellow Learning Data Specialists to examine department and project level datasets using data analysis tools to optimise learning and the learning environment at NIE.
- To collaborate across teams:
- , academic development and teaching & learning and develop emerging technologies to innovate.
- , development and evaluation of learner-centred blended courses and course requirements.
- , and appropriate tools to design, develop and facilitate face-to-face and online tech-enhanced workshops (i.e., blended learning) as part of capability development for faculty.
- Remain abreast of best and innovative teaching and learning practices in higher education (e.g., regarding personalised learning, adaptive learning, e-assessment, hybrid learning).
- Collaborate on initiatives with IN-Learning's Engagement, Planning and Research team to share institute-wide knowledge.
- Carry out action research by:
- ,
- ,
Requirements
- A University Degree related to Education, Learning Sciences, Business/Data Analytics, Applied Statistics and Technology or a related field.
- At least 2 years’ experience in learning analytics or related instructional design and development experience.
- Possess good analytical skills to facilitate interpretation of data for decision-making purposes.
- Well-versed with ICT tools for education.
- Experience in working with Learning Management Systems.
- Having teaching experience will be an advantage.
- Ability to work independently and in diverse teams.
- Ability to learn new tools and processes quickly with little guidance or support documentation.
- Possess good creative thinking and problem-solving skills.
- Excellent communication and interpersonal skills.
- Exceptionally meticulous in work details.
- Experience in using data visualization tools will be an advantage.
- Application Closing Date
- The closing date of the advertisement is 28 May 2026. We regret that only shortlisted candidates will be notified.