Big Data in E-learning: Literature Review and Challenges

The adoption of a big data approach to advance teaching and learning in the context of South African higher education.

“…Volume: Big data refers to the vast amount of data generated from numerous sources (Amane et al, 2020). It represents the scale or size of the data, which can be enormous and continuously growing.…”

“…The increasing volume of data generated in higher education provides educators with a wealth of information about student performance, behavior, and engagement. By analyzing large volumes of data, HEIs can gain insights into learning patterns, identify areas of improvement, and personalize the educational experience (Amane et al, 2020).…”

“…Educators can gain a holistic view of students' learning experiences, preferences, and challenges by integrating various data sources. It enables the development of comprehensive and tailored interventions (Amane et al, 2020).…”

“…For instance, if a significant number of students take undue time to complete a specific course or module, it suggests the need to modify the module or subject to better suit the students. Furthermore, Amane et al (2020) stated that big data analytics allows educators to gain deeper insights into student engagement and performance across various e-learning activities. By analyzing this data, educators can identify areas of improvement in e-learning systems, understand student challenges, and make data-driven decisions.…”

“…By analyzing this data, educators can identify areas of improvement in e-learning systems, understand student challenges, and make data-driven decisions. They can track student progress, identify areas of improvement in e-learning systems, and optimize the design (Amane et al, 2020).…”