Job Description

• Research and explore new learning challenges/problems that students will face using Generative AI
• Research challenges/difficulties/concerns educators face when using Generative AI for teaching and learning
• Develop ideas to overcome challenges with teaching/learning using Generative AI – either in the form of learning activities or assessments
• Test run experimental learning activities/assessments with students to collect feedback and insights
• Propose novel ways of collecting data and insights from AI-based learning activities and assessments, and help to analyse data from the test runs
• Develop training resources and materials to educate the NUS community on the use of AI in education and research
• Conduct and/or facilitate sharing sessions on teaching and learning with AI with the NUS community.
• Design focus group and survey questions, lead the studies, and evaluate the results to help AICET better understand the needs of the community.
• Run data analytics of the AICET website and its upcoming online resources to evaluate the efficacy/engagement of the resources and provide strategic insights on how best to deliver them to the NUS community.

Qualifications

• Masters degree in Computer Science, Information Technology, or any other disciplines relevant to the scope of pedagogical work (e.g. a Master of Arts is sufficient for pedagogy work relevant to supporting education in the humanities and social sciences)
• At least 2 years of teaching experience
• Has a track record for innovation
• Good communication skills (English: written and spoken).
• Strong inter-personal, time management and organisational skills.

Only shortlisted candidates will be notified.

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Department of Computer Science

Employee Referral Eligible:

Job requisition ID : 26510