Assistant Professor Assessment Technology

### Position Overview The LSA at the National Institute of Education (NIE), Nanyang Technological University (NTU), Singapore, invites applications for a tenure-track Assistant Professor position in Assessment Literacy and Leadership, and Technology-Enabled Assessment. This position reflects the Department's strategic priority to strengthen its leadership in classroom assessment and assessment literacy, while advancing research and practice in technology-enabled assessment, including emerging developments in AI-supported assessment. ### Research & Academic Focus We seek a scholar whose work is grounded in classroom assessment theory and practice, and who can extend this foundation into technology-mediated and AI-enabled contexts. The successful candidate will contribute to research, teaching, and programme development that support teachers and educational leaders in designing, enacting, and evaluating high-quality assessment practices. The Department is particularly interested in candidates whose work: - Advances the scholarship, research, and (best) practices in classroom assessment. - Advances assessment literacy and leadership for teachers and educational leaders. - Strengthens the design and enactment of assessment for learning, feedback, and formative assessment practices. - Examines how technology-enabled assessment can enhance classroom assessment processes and outcomes. - Explores the role of AI (including generative AI) as part of technology-enabled assessment, such as in feedback, adaptive assessment, or assessment design. - Bridges research, practice, and policy, with relevance to Singapore and the broader Asia-Pacific context. ### Required Expertise Applicants should demonstrate expertise in one or more of the following areas: - Classroom assessment theory, design, and practice. - Development of assessment literacy and assessment capacity among teachers and school leaders. - Technology-enabled assessment, including digital and e-assessment tools. - Use of AI in assessment (e.g., generative AI, automated feedback, adaptive systems). - Fairness, equity, and ethical considerations in assessment. - Student engagement, motivation, and affect in assessment and feedback contexts. - Use of assessment data and learning analytics. ### Selection Criteria - A PhD or equivalent qualification in Educational Assessment, Classroom Assessment, Learning Sciences, Educational Psychology, Educational Measurement, Instructional Leadership, or a closely related field. - A clear and developing research agenda in classroom assessment, with extension into technology-enabled assessment. - Demonstrated potential to develop and sustain a strong research programme and secure competitive funding. - An emerging record of high-quality scholarly publications. - Evidence of teaching effectiveness or strong potential for teaching excellence. - Familiarity with school-based educational practice. - Excellent communication skills in spoken and written English.