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The Effects of AI-Based Cognitive Offloading on Metacognitive Skills and Learning Transfer in Adult Professional Learners

Optimising Human-Machine Collaboration

About the Project

This study investigates how generative AI tools like ChatGPT influence two critical cognitive processes in adult professional development: (a) metacognition—the ability to monitor and regulate learning—and (b) learning transfer—the capacity to apply knowledge in new contexts. While AI offers instant access to information and problem-solving support, unguided use may encourage cognitive offloading, reducing metacognitive awareness and independent application of skills. Guided AI use, incorporating structured prompts for goal setting, comprehension monitoring, and evaluation, is hypothesized to enhance active learning and strengthen both metacognition and transfer. The research draws on Cognitive Load Theory, Self-Regulated Learning Theory, and the Desirable Difficulty framework to clarify when AI acts as a scaffold rather than a substitute for effortful thinking.​

To test these hypotheses, the project employs a randomized controlled design involving 300 adult learners assigned to one of three conditions: unguided AI use, guided AI use, or a non-AI control. Participants will complete workplace-relevant problem-solving tasks, performance-based transfer assessments, and validated metacognitive measures across three sessions, followed by a one-week practice period. Quantitative outcomes will be complemented by qualitative data from interviews and think-aloud protocols to elucidate the cognitive and metacognitive mechanisms underlying AI-supported learning. Together, the findings will advance theoretical models of self-regulated learning in technology-mediated environments and inform evidence-based strategies for designing AI-supported training that fosters adaptability, sustained cognitive engagement, and transferable expertise in professional contexts.​

Research Impact: The findings will inform the development of AI-enabled training frameworks that promote durable learning, reflective thinking, and transferable skills among working adults.

Project Keywords

Theme: Adult Learning Transfer

Principal Investigator(s)

YANG Hwajin

SMU Professor of Psychology @ SOSS; Associate Dean (Research); Lee Kong Chian Fellow; ResWORK Fellow

Co-Principal Investigator(s)

  • Gary PAN, SMU Professor of Accounting (Education) @ SOA; Associate Provost (Lifelong Learning); Associate Dean (Student & Alumni Matters); ResWORK Fellow
  • Andree HARTANTO, SMU Associate Professor of Psychology @ SOSS; Lee Kong Chian Fellow; ResWORK Fellow
  • Sarah WONG Shi Hui, SMU Assistant Professor of Psychology @ SOSS ​

Collaborator(s)

WONG Zi Yang, ​Research Fellow, SMU