The study aims to compare how discovery learning and collaborative discovery learning
affect knowledge acquisition, the development of understanding through phases of self …

This systematic review investigated how Higher Education Institutions (HEIs) optimise data
analytics in postgraduate programmes to enhance student achievement. Existing research …

Despite the growing importance of MOOCs and their application in face-to-face classes
since 2020, driven by the COVID-19 pandemic, existing literature offers limited research on …

Despite the increasing interest in data analytics applications within postgraduate education
research, there remains a significant gap in research dedicated to exploring mixed methods …

Learning analytics (LA) is an educational innovation that enhances teaching practices and
facilitates student learning. However, the degree of LA adoption across schools remains …

We propose a model for use in higher education after COVID-19 that addresses how to
organize class methods for effective and efficient teaching outcomes for both students and …

Learning analytics (LA) refers to the collection, analysis, and presentation of big data to
assist teachers in optimising learning conditions. Although LA has made contributions, it still …

Tujuan penelitian ini adalah menghasilkan pembelajaran berkualitas di PPKn bermuatan
self-regulated learning (SRL) yang berbasis high order thinking skills (HOTS). Untuk …

Citizen science substantially contributes to large-scale biodiversity monitoring and the
enhancement of public literacy. While both of the contributions largely depend on the …

ABSTRACT A combination of traditional learning and online learning is termed blended
learning, which is also known as hybrid learning. A detailed investigation of how blended …