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Dr Ma Ying

IAL Staff

Assistant Director, Learning and Professional Development Division

Areas of Expertise: Learning Practice, Assessment, Evaluation & Quality, Workforce and Skills Development, Research & Data Analytics


Dr Ma Ying is a future-oriented leader who propels innovations to transform adult learning and performance through strategic leadership in curriculum development, learning technology integration, and academic quality assurance. Driven by a desire to continuously improve, Dr Ma actively conducts research at the intersection of andragogy, educational technology, and inclusive learning environments. As an established speaker, she also regularly shares cutting-edge findings and best practices in the field at major international conferences. Part of her current work focuses on leveraging generative AI to streamline and optimise learning design and outcomes, developing an adult educator digital and AI proficiency taxonomy (ADAPT), and promoting AI governance for human-centricity, recognising the potential challenges of AI and seeking strategies to mitigate them. Through her scholarship, innovation and programme design, Dr Ma supports educators and organisations in building future-ready, technology-augmented learning environments that are purposeful, inclusive and responsive to changing workforce needs.

Ma, Y., & Tan, S. (2025). Designing responsive curricula: Integrating the PDSA cycle and andragogy for adult learning [Manuscript in preparation]. Institute for Adult Learning, Singapore University of Social Sciences.

Ma, Y. & Tan, S.Y.T. (2024). From Snackable to Powerful: The Essentials of Microlearning Design. In C. Bonk & G. Marks (Eds.), Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 302-306). Singapore, Singapore: Association for the Advancement of Computing in Education (AACE). Retrieved May 12, 2026 from https://www.learntechlib.org/p/225013.

Ma, Y., & Chung, V. (2024). Personalizing feedback and developing learner agency using Kami. The Journal of Applied Instructional Design, 13(2), 155-161. https://doi.org/10.59668/1269.15644

Ma, Y. (2023). Professional learning to enhance teachers’ constructivist-oriented technology integration practices (Publication No. 1774.2/68434) [Doctoral dissertation, Johns Hopkins University]. Johns Hopkins University. https://jscholarship.library.jhu.edu/handle/1774.2/68434

Ma, Y. & Pape, S. (2022). What teachers really need for technology integration professional learning. In T. Bastiaens (Ed.), Proceedings of EdMedia + Innovate Learning (pp. 274-285). New York City, NY, United States: Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/primary/p/221300/

Tan, S., & Ma, Y. (2024). Artificial intelligence in adult education: Navigating the crossroads of innovation and reality [Conference session]. 2024 Adult Educator Symposium, National University of Singapore, Singapore.

Ma, Y. (2023). Using error analysis in improving physics practical skills: An evidence-based approach [Conference session]. Teachers' Conference and ExCEL Fest 2023, Ministry of Education, Singapore.

Ma, Y., & Pan, Z. (2019). Kiddy Science with technology: An application of the TTIPP (Turn-around Technology Integration Pedagogy Planning) Model [Conference session]. Texas State EdTech Conference 2019, Texas State University, United States.