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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
Cóndor-Herrera, Omar; Ramos-Galarza, Carlos – Education and Information Technologies, 2021
Learning mathematics is a challenge in the current educational context. This is demonstrated by a high percentage of students who both fail to develop these numerical-type skills and have a low academic performance. This research performs a quasi-experiment to develop mathematical skills and knowledge. The sample consisted of 54 students (20…
Descriptors: Mathematics Skills, Mathematics Instruction, Intervention, Skill Development
Tahir, Sidra; Hafeez, Yaser; Abbas, Muhammad Azeem; Nawaz, Asif; Hamid, Bushra – Education and Information Technologies, 2022
With the increase in Technology Enhanced Learning (TEL), the effective retrieval and availability of Learning Objects (LOs) for course designers is a significant concern. Text-based LOs can be accessed from structured LO repositories (LORs) and unstructured sources. Different LOR structures and semantically diversified LOs hinder the process of…
Descriptors: Man Machine Systems, Artificial Intelligence, Technology Uses in Education, Online Courses
Radhakrishnan, Madhubala – International Journal of Mobile and Blended Learning, 2021
Mobile-based learning provides new experience to the learners to learn anything from anywhere and anytime by using their portable or mobile device. Vast educational contents and also different media formats can be supported by the mobile devices. Access speed of those materials has also improved a lot. With this advancement, providing required…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
Business as Usual or Digital Mechanisms for Change? What Student DLOs Reveal about Doing Mathematics
Rosedale, Naomi Alexandra; Jesson, Rebecca Ngaire; McNaughton, Stuart – International Journal of Mobile and Blended Learning, 2021
Mathematics classrooms have a long history of what has been termed 'unidimensional' character: a proclivity for student practice routines and teachers as experts and keepers of knowledge. This study investigates affordances of student-created digital learning objects (SC-DLOs) as transformative, design-for-learning practices in the hands of…
Descriptors: Mathematics Instruction, Resource Units, Educational Technology, Technology Uses in Education
Corbeil, Joseph Rene, Ed.; Khan, Badrul H., Ed.; Corbeil, Maria Elena, Ed. – Routledge, Taylor & Francis Group, 2021
"Microlearning in the Digital Age" explores the design and implementation of bite-sized learning and training in technology-enabled environments. Grounded in research-based best practices and a robust, eight-dimensional framework, this book applies the latest developments in mobile learning, social media, and instructional/multimedia…
Descriptors: Technology Uses in Education, Minicourses, Electronic Learning, Instructional Design
Commonwealth of Learning, 2022
The present report is the outcome of a study on the status of OER in the Commonwealth conducted in late 2021. Considering the importance of OER in the context of the challenges posed by COVID-19, the findings shall be useful for Member States and educational institutions to mainstream OER. The overall objective is to help countries across the…
Descriptors: Open Educational Resources, Foreign Countries, Resource Units, International Cooperation
