Articles | Open Access |

DIGITAL LEARNING ANALYTICS: CONCEPTUAL FRAMEWORK AND EVOLUTION IN LANGUAGE EDUCATION

Mahbuba Solijonova Bo’riboy kizi , Teacher in Andijan State University, Uzbekistan

Abstract

The exponential growth of digital technologies in educational settings has generated unprecedented volumes of learner data, creating opportunities for evidence-based pedagogical decision-making through Learning Analytics. This systematic review examines the theoretical foundations, evolutionary trajectory, and practical applications of Digital Learning Analytics within language education contexts spanning from 2000 to 2025. The findings reveal four distinct developmental phases characterized by progressively advanced technological capabilities and pedagogical integration. Foundational frameworks, particularly Clow's Learning Analytics Cycle and Greller and Drachsler's Generic Framework, have significantly shaped implementation strategies. This review contributes to bridging theoretical knowledge and practical application in language education contexts, providing essential groundwork for future research on intercultural competence assessment through digital analytics.

Keywords

Digital Learning Analytics, Language Education, Conceptual Framework, Educational Data Mining, Computer-Assisted Language Learning, EFL Teaching

References

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DIGITAL LEARNING ANALYTICS: CONCEPTUAL FRAMEWORK AND EVOLUTION IN LANGUAGE EDUCATION. (2025). International Journal of Artificial Intelligence, 5(10), 734-741. https://www.academicpublishers.org/journals/index.php/ijai/article/view/6914