High School Students’ Generative AI Over-reliance and Learning Goal Orientation

Helena Liu, Newnew Deng, Hongyi Zhai, Wenchao Ma


Abstract
This study examines the relationship between high school students’ reliance on GenAI and potential predictors: student demographic characteristics, academic background, and learning goal orientation. The findings highlight the importance of guiding students to use GenAI appropriately, preventing over-reliance on AI, and fostering mastery goal orientations in the AI age.
Anthology ID:
2026.aimecon-main.65
Volume:
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
Month:
October
Year:
2026
Address:
Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
Editors:
Joshua Wilson, Christopher Ormerod, Magdalen Beiting-Parrish
Venue:
AIME-Con
SIG:
Publisher:
National Council on Measurement in Education (NCME)
Note:
Pages:
581–588
Language:
URL:
https://aclanthology.org/2026.aimecon-main.65/
DOI:
Bibkey:
Cite (ACL):
Helena Liu, Newnew Deng, Hongyi Zhai, and Wenchao Ma. 2026. High School Students’ Generative AI Over-reliance and Learning Goal Orientation. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 581–588, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):
High School Students’ Generative AI Over-reliance and Learning Goal Orientation (Liu et al., AIME-Con 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.aimecon-main.65.pdf