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Integrating Artificial Intelligence in Exam Preparation
One-line summary
An AI research paper on Integrating Artificial Intelligence in Exam Preparation.
Engineering notes
Engineering notes will be added by the aipentium editorial team.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。
Original abstract
This study examines preservice teachers' experiences using generative AI tools for curriculum-aligned question design. A qualitative phenomenological design was employed with 32 preservice teachers at a public university during 2024–2025. Following a training session on ChatGPT and Google Gemini, participants generated learning-outcome-aligned questions. Data were collected via semi-structured interviews and analyzed through two-cycle coding. Findings revealed two themes—Opportunities and Challenges—each comprising five subthemes. Opportunities included time efficiency, creative stimulation, diverse question types, student-level customization, and digital platform compatibility. Challenges encompassed the need for precise prompting, infrastructure limitations, curriculum misalignment risks, content verification demands, and concerns about reduced pedagogical creativity. Effective AI integration in teacher education requires targeted digital literacy training, pedagogical scaffolding, and institutional support.
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