Accepted submissions
Accepted submissions
Toward Pedagogically-Guided Large Language Models: the Role of Knowledge Components and SOLO in Enhancing Smart Learning Environments
Mohseni, Z., Asensio-Pérez, J. I., Bote-Lorenzo, M. L., Gómez-Sánchez, E., & Dimitriadis, Y. (2026). Toward pedagogically-guided large language models: The role of knowledge components and SOLO in enhancing smart learning environments.
Towards a next generation design-aware learning analytics integrated system: scaffolding assessment design and learning analytics literacy
Law, N., Ko, P., Feng, J., Lo, C., & Lin, J. (2026). Towards a next generation design-aware learning analytics integrated system: Scaffolding assessment design and learning analytics literacy.
A Learning Analytics Research Agenda: Addressing Measurement and Evaluation Challenges in GenAI-Enhanced Smart Learning Environments
Moreno-Marcos, P. M., Muñoz-Merino, P. J., & Kloos, C. D. (2026). A learning analytics research agenda: Addressing measurement and evaluation challenges in GenAI-enhanced smart learning environments.
Enhancing learning design workflows with generative AI using navigation support
Guo, Y., Chan, A., Lin, J., & Law, N. (2026). Enhancing learning design workflows with generative AI using navigation support.
LD-EnactAI: Towards generative AI-enabled smart enactment of learning designs.
Güner, O. O., & Hernández-Leo, D. (2026). LD-EnactAI: Towards generative AI-enabled smart enactment of learning designs.
Using learning analytics to measure AI-critical literacy: A within-subjects study of the UnBlooms™ framework.
Austin, T. R. (2026). Using learning analytics to measure AI-critical literacy: A within-subjects study of the UnBlooms™ framework.