Visualization of Hotspots and Frontiers in Learning Analytics under Big Data Environment — Based on Citespace Knowledge Map Analysis

In the era of big data, learning analytics has emerged as a core area at the intersection of educational science and data science. This study utilizes the CiteSpace knowledge map tool and the Web of Science database to conduct a comprehensive analysis of learning analytics research literature from 2012 to 2024, in order to explore the evolution trends and frontier topics of academic research. The results indicate that with the development of adaptive learning and multimodal data analysis techniques, the field of learning analytics has shifted from conceptual frameworks to specific implementation strategies, particularly making significant progress in enhancing educational adaptability and learning efficiency. Additionally, through the analysis of international collaboration networks, this study reveals the critical role of global academic collaborations in advancing research in this field. The analysis of keyword co-occurrence and subject co-occurrence further confirms”learning analytics” and”big data” as research focal points, and anticipates the future application of data-driven educational technologies in global educational reforms.