International Journal of Scientific Research and Engineering Development

The Prompt-Tuned Language Model for Automatic Question Generation in Engineering Courses is essential in modern education due to the growing demand for accurate and efficient assessment methods. In engineering education, designing high-quality questions to test understanding and skills is a significant challenge. This project utilizes a Prompt-Tuned Language Model to generate subjectspecific questions for engineering courses. By applying prompt tuning, rather than revising the entire syllabus, the system adapts a pretrained language model to produce accurate and curriculum-based questions at a lower cost. This approach supports multiple question formats and difficulty levels, improving assessment quality and reducing faculty workload. The adoption of digital learning environments for education in engineering is steadily increasing, and the demand for efficient and accurate models for evaluation is also high. Question Paper Preparation is not an easy assignment and should take some time and experience with the subjects in the course. In the field of engineering academics, there are various areas that can the subjects involve intricate technical concepts and modifications to the curriculum that are manual question generation becomes difficult for teachers. To minimize this issue, the project presents a "Prompt-Tuned Language Model for Automatic Question Generation in Engineering Courses. Which is focused on assisting teachers in the process of automated production of high-quality assessment questions. The system is trained and tuned with engineering course materials such as lecture notes, textbooks, as well as syllabus documents, to determine some core ideas and aims. Based on These inputs, the model creates types of questions such as multiple choice, short answer, and so on. Here, the and descriptive types. The questions produced are meant to test various levels of knowledge, ranging from basic to advanced. Finally, faculty members examine the model’s is carried out to ensure that the questions produced are precise and of high standards. The final expected result of this project is an efficient and accurate tool that would help teachers to lessen human effort to a considerable extent for accurate results. This software provides high-quality question banks. This project, Prompt-Tuned Language Model for Automatic Question Generation in Engineering Courses, used for further development in the field of educational technologies.

P.Anuradha, M.Hitesh Krishna, N.Yaswanth, SK.Hussen, SK.Arif,"Prompt-Tuned Language Model for Automatic Question Generation in Engineering Courses" International Journal of Scientific Research and Engineering Development, V9(2): Page(485-489) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.