Cognitive Web Service-Based Learning Analytics in Education Systems Using Big Data Analytics

Abstract

In the field of education, digital learning plays an important part. For each passing day, digital learning is displacing the traditional method of education. An accurate analysis of a student's qualities improves their academic performance. With the advancement of technology and big data, there are many applications for big data analytics, including education. Huge volumes of academic information are being generated, and discovering a technique to harness and analyze this information effectively is a challenging issue among many educational organizations. In this paper, educational clustering big data mining system (ECBDMS) has been proposed. The cognitive web service based learning analytic(CWS-LA) system is integrated to securely categorize and provide ease of access to the data. ECBDMS has been found to improve performance gains of 92.8%, prediction ratios of 88.6%, clustering error ratios of 2.3 percent, learning percentages of 94%, and forecasting accuracy of 97.1 percent when compared to other existing methods.

A Resource-based view Assessment of Big Data Analysis and its Impact on Strategic Human Resources Quality Management Systems

“…Findings of the analysis highlight our ability to use these geospatial data analytics for studying more sustainable urban development activities as well as environment conservation. LI [24] studied cognitive web service-based learning analytics which contains big data analytics that can be applied in education systems. The focus of research underscores the necessity of personalized learning opportunities as well as information-rich teaching interventions that boost the outputs of students as well as the quality of education.…”