2026-10-12T01:35:24Z https://www.scidb.cn/oai

10.57760/sciencedb.psych.00733 2026-03-11T09:29:55Z

2026-03-11 Interview Dataset on Middle School Students' Experiences with Large Language Models (LLMs) doi:10.57760/sciencedb.psych.00733 en This dataset comprises in-depth, semi-structured interview transcripts from 15 Chinese middle school students (Mean age = 14.2, SD = 1.32; 11 female) regarding their autonomous use of Large Language Models (LLMs). Data were collected between May and June 2025 to investigate the current status, practical logic, psychological perceptions, and impacts of LLMs on students in real-life academic and daily scenarios. The interviews cover topics including usage motivation, academic application scenarios, human-AI collaboration strategies, cognitive evaluation of LLMs, emotional experiences, and the moderating effects of social environments such as family, school, and peers. The raw audio recordings were transcribed, resulting in over 80,000 Chinese characters of verbatim text, which has been structurally pre-processed into approximately 1,200 independent analytical units. This dataset provides rich qualitative material for understanding the interaction between digital natives and artificial intelligence, offering significant value for research in adolescent developmental psychology, educational psychology, human-computer interaction, and AI literacy. Large Language Models (LLMs); Middle School Students; Human-AI Collaboration; AI Literacy; Grounded Theory; Qualitative Research; interview Chen Jiayao su yu Tian Jiayi Ding Ruyi Chen Jingjun Huang Weirui Jiang Sijie Liu Kun Lu Xiaoxin Zhang Yuxiao PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset Science Data Bank