2026-10-13T00:23:10Z https://www.scidb.cn/oai

10.57760/sciencedb.012ou 2026-09-23T19:49:18Z

2026-09-23 Pre-service Teachers’ Experiences and Competence Development in AI agent-supported Interdisciplinary Lesson Planning: A Mixed Study doi:10.57760/sciencedb.012ou en Questionnaire: Zhu’s (2023) Teacher Multidisciplinary Competence Scale was used to employ the pre-test and post-test. This 21-item instrument includes three subscales, namely pedagogical knowledge (6 items), teaching competencies (9 items), and teaching affections (6 items). Responses to the questionnaire items were scored using a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree).Reflection: The qualitative design employed for this research study involved the use of a pre-post comparative lesson planning reflection guide generated by the authors. Participants were expected to carry out independent interdisciplinary lesson planning before using an AI agent for the revision of their lesson plans. In the subsequent stage, participants were supposed to reflect on both their initial and revised interdisciplinary lesson plans. The set of reflective questions posed to participants included the following: 1. What are the differences that you have observed between your initial interdisciplinary lesson plan and your revised AI-agent-assisted interdisciplinary lesson plan in regard to the four main parts of a lesson: introduction, delivery, activities and practice, and conclusion? 2. How has the AI agent affected your practice of interdisciplinary lesson planning in regard to the above-mentioned four parts of a lesson? Interdisciplinary Lesson Planning; AI Agent; Pre-service teachers; TPACK; Perceptions; Educational technology; Lesson design Xiaotian Han EMBARGO https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset Science Data Bank