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Leveraging Large Language Models to Generate Course-Specific Semantically Annotated Learning Objects
Peer reviewed
Direct linkDominic Lohr; Marc Berges; Abhishek Chugh; Michael Kohlhase; Dennis Müller – Journal of Computer Assisted Learning, 2025
Background: Over the past few decades, the process and methodology of automatic question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the generation of educational content. Objectives: This paper explores the potential of large language models…
Descriptors: Resource Units, Semantics, Automation, Questioning Techniques
Hanwen Dong; Maggie Albro – Issues in Science and Technology Librarianship, 2025
This pilot study explores how agricultural sciences faculty utilize Digital Learning Objects (DLOs) in their courses and collaborate with librarians to improve students' information literacy skills. The researchers conducted in-depth interviews with 14 agricultural sciences faculty members at two land-grant institutions in the United States. The…
Descriptors: College Faculty, Agricultural Education, Librarian Teacher Cooperation, Resource Units
Mary Jo Orzech; Jie Zhang; Virginia Orzel; Shirin Sultana; Angela Thompsell; Jennifer Wood; Ning Yu – Journal of Educational Technology Systems, 2025
Open Educational Resources (OER) have been adopted by growing numbers in higher education during the last two decades. Online repositories contain a myriad of OER content, learning objects, and activities. This article presents six case studies from both new and experienced instructors across multiple disciplines at a single institution. It…
Descriptors: Open Educational Resources, Higher Education, Activities, Resource Units
