Lap Ki Chan
Papers
1
Total Citations
5
H-Index
1
About
Lap Ki Chan is a thought-provoking scholar whose work critically examines the intersection of artificial intelligence and education. His research areas include the philosophy of technology, pedagogical innovation, and the societal implications of AI in learning environments. Chan’s most notable contribution is his provocative 2019 paper, “Artificial Intelligence or Natural Stupidity? Deep Learning or Superficial Teaching?” which challenges the uncritical embrace of AI in education, using the historic AlphaGo victory as a springboard to question whether technological advancement truly enhances human understanding or merely masks superficial learning. Though cited 5 times, this work has sparked meaningful debate among educators and technologists, positioning Chan as a voice for reflective practice in an era of rapid digital transformation. His scholarship encourages researchers and students alike to consider the deeper ethical and cognitive dimensions of integrating AI into teaching, making him a distinctive figure in the dialogue between human intelligence and machine learning.
Research Focus
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Top Papers
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