2026-10-14T19:15:04Z https://www.scidb.cn/oai

10.57760/sciencedb.010mg 2026-08-31T10:55:23Z

2026-08-31 Data from: Associations Between Pre-service Teachers' AI Acceptance and Learning Engagement: Teacher Self-efficacy as a Mediator and Grade as a Moderator doi:10.57760/sciencedb.010mg en This dataset contains survey responses from 280 pre-service teachers at a university in Shanghai, China, collected from December 2025 to February 2026. The data include demographic information (grade level, teaching content area, AI course learning experience, perceived AI learning, and experience using AI tools for instructional design), as well as three validated instruments: the UTAUT2-based AI Acceptance Scale (31 items), the Utrecht Work Engagement Scale for Students (UWES-S, 17 items), and the Teachers' Sense of Efficacy Scale (TSES, 12 items). All data were collected anonymously via an online questionnaire. The dataset is provided in SPSS (.sav) format, with an additional CSV version for broader compatibility.Variable names and coding schemes are documented within the SPSS file. No special software is required to open the CSV version; the SPSS file can be opened with IBM SPSS Statistics, PSPP (free), or R (using the haven package). pre-service teachers; AI acceptance; learning engagement; teacher self-efficacy; UTAUT2; technology acceptance; higher education Wenqi Ding Xiaotian Han EMBARGO https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank