Dr. Jinhee Kim was the lead author on a recent journal article about the student-AI interaction. Recent advances and applications of artificial intelligence (AI) have increased the opportunities for students to interact with AI in their learning tasks. Although various fields of scholarly research have investigated human-AI collaboration, the underlying processes of how students collaborate with AI in a student-AI teaming scenario have been scarcely investigated. This research revealed the distinctive differences in student-AI interaction (SAI) processes of students with different attitudes towards AI and domain-specific skills by first conducting a lag sequential analysis and then chronologically incorporating them into the SAI duration via coded activity alignment series. Dr. Kim and coauthors discuss a range of implications of educational AI development and instructional design.

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