Educational Assessment & Educational Technology Specialist, Curriculum and Professional Development Division, Yew Chung Yew Wah Education
Mr. Shan Huang holds a Bachelor's degree in Educational Technology from Nanjing University and is currently pursuing a PhD in Educational Evaluation. He has worked at the Yew Chung Yew Wah Education Network for 14 years as an Educational Assessment & Educational Technology Specialist. His research focuses on evidence-based education, using machine learning and generative AI to analyse standardized assessment data, including CEM and CPT scores. His work supports educational value-added measures, curriculum development, and personalized feedback. He collaborates with teachers and stakeholders to provide targeted insights that enhance educational practices.
The uniqueness of each student’s learning trajectory necessitates a more nuanced approach to assessment. Given that students of the same age often exhibit varying cognitive development stages and non-linear learning progressions, reliance solely on traditional summative assessments presents significant limitations. To address these discrepancies, schools must adopt a holistic and equitable assessment framework that accurately reflects individual progress.
Adaptive assessments, which adjust in real-time to a student’s ability level, offer a promising solution. The presentation will share the principles of adaptive assessments, their growing adoption in educational institutions, and their role in providing personalized insights into student performance. The session will address key questions, including the determination of a student’s baseline, measurement of progress, and engagement across diversed student populations.
Furthermore, a case study from Yew Chung Yew Wah Education will highlight the effective implementation of adaptive assessments and their impact on informed educational decision-making.