AI and Education

Many people (especially in Korea) currently believe that AI is a silver bullet that will solve many problems in education. They argue that AI will solve the teacher shortage and enable personalized learning in classrooms where students of all abilities coexist. 

The primary reason for introducing AI into education is that it is a useful tool that can realize personalized teaching, learning, and assessment, which have been difficult to achieve so far. 

In this environment, teachers, schools, and parents feel pressured to learn and utilize "AI." AI workshops are flooding academic conferences, and everyone strives to learn new technologies.

 With new AI technologies emerging daily, it's overwhelming, but people strive to keep up. 

I believe learning is absolutely necessary. However, we have to constantly critically consider whether the effectiveness of AI, or the widespread adoption of it, truly translates to educational value.

With AI, co-intelligence can be a goal.

** I am interested in develop ways to introduce/use AI in classrooms so that it may enhance creativity and social interaction in the L2 classroom setting. My recent publications/talks (Park, 2024, 2025) attempt to analyze and study AI use in real time classroom contexts. 

The following links provide the data set for children's book passages curated for use in EFL secondary school contexts utilizing Project Gutenberg: 

(1) GitHub Repository (https://github.com/flamecracker/EFLQA)

(2) Huggingface Dataset (https://huggingface.co/datasets/flamecracker/eflqa_dataset)