This editorial looks back at the Journal of Learning Analytics (JLA) in 2023 and forward to
2024. Considering the recent proliferation of large language models such as GPT4 and
Bard, the first section of this editorial points to the need for robust Generative AI (GenAI)
analytics, calling for consideration of how GenAI may impact learning analytics research and
practice. The second section looks back over the past year, providing statistics on
submissions and considering the cost of publication in an open-access journal.

The rapid adoption of generative AI (GenAI) in education has raised critical questions about
its implications for learning and teaching. While GenAI tools offer new avenues for
personalized learning, enhanced feedback, and increased efficiency, they also present
challenges related to cognitive engagement, student agency, and ethical considerations.
Learning analytics (LA) provides a crucial lens to examine how GenAI affects learning
behaviours and outcomes by offering data-informed insights into GenAI's impact on …