Application of Big Data Analytics for Improving Learning Process in Technical Vocational Education and Training

Abstract

The study identifies the application of big data analytics for improving learning process in Technical Vocational Educational and Training (TVET) in Nigeria. Two research questions were answered. The descriptive survey design was employed and the target population was made up of experts in TVET. A structured questionnaire titled "Big Data Analytics in Technical Vocational Education and Training" (BDATVET) is the tool used for data compilation. BDATVET was subjected to face and content validation by three experts, two in TVET and one in Education Technology. Cronbach Alpha was used to determine the reliability coefficient of the questionnaire and it was found to be 0.81. The data collected from the respondents were analyzed using mean and standard deviation. The findings on the problems of big data include among others security, availability and stability of internet network service. The Findings related to the prospects include among others, allows a teacher measuring, monitoring, and responding, in realtime to a student's understanding of the material. Based on the findings, it was recommended among others that the stakeholders in TVET need to uphold the fundamental security of their data and who may access information about their competencies.

Integrating Entrepreneurship and Innovation Education into Higher Vocational Education Teaching Methods Based on Big Data Analysis

“…Figure 4 is a schematic diagram of an education system. There are three roles in model [18]. The knowledge base is the system; they interact through assessment systems or exercises.…”