authors
Kirti Diddi

abstract
This study examines the intersection of digital transformation, learning analytics, and educational outcomes in Indian higher education through the lens of blended learning implementation. Using longitudinal data from the All India Survey on Higher Education (AISHE), University Grants Commission (UGC) Statistics, and the National Sample Survey Office (NSSO) Education Survey (2018-2024), the research explores the relationship between blended learning adoption and educational outcomes across diverse geographical and socioeconomic contexts. The analysis reveals a 42% improvement in student retention and a 38% increase in skill acquisition metrics among higher education institutions (HEIs) adopting blended learning. However, significant regional disparities persist, with rural areas utilizing 65% fewer digital resources compared to urban regions. The study proposes a scale-invariant adoption framework for blended learning, supported by statistical models and machine learning (ML) algorithms, to optimize educational outcomes.