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

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

Li Bin
Copyright: © 2023 |Pages: 19
DOI: 10.4018/IJeC.316658
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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.
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Overview Of Digitization Of Learning

In today's world, learning technologies are evolving, and the educational field is becoming increasingly important. By employing modern tactics such as Deep Learning, modern educational organizations are growing their capacity for helping business leaders and other key stakeholders acquire relevant information and make informed decisions (Catal et al., 2019). Digitalization in education uses computers, tablets, smartphones, the Internet, and other modern innovation to teach learners of all ages, regardless of their age (Yunita et al., 2021). In addition to providing students with ever-increasing amounts of data, digital learning makes it possible to tailor the data to their specific needs. An essential advantage of digital learning is supporting each student to learn at their own pace and in their way (Khan et al., 2020). Data generated by learners while taking an eLearning course or module is known as “big data” in this industry context. “Big data” can include, for example, the progress and results of an employee who has completed a training course on corporate ethics as well as any other data that was generated during the course.

Digitization is the process of converting a physical thing or attribute into a digital form. Digital documents can be scanned and saved in the same way that hard copies can be scanned and saved (Hogan et al., 2019).With digitization, your data will be safe and accessible no matter what occurs to them due to natural disasters, theft, or damage. Documents are safeguarded and easy to retrieve in the event of accident or theft while your organization is brought up to date with current market standards. Your records are pricey if you lose them in a disaster.(Peters et al., 2020). Students can benefit from innovation in digital learning by gaining a deeper understanding of the material and comprehending it more quickly. Instructors will use many alternative teaching methods in the schoolroom, which will help students become more engaged in learning (Fiore et al., 2021). In addition to making activities more effective, constructive, and financially beneficial, it is necessary to use some digital technologies in the processes and digitally manage data (digitized and digitally native data) (Graessley et al., 2019).

The best thing about 21st-century teaching digitization is that it incorporates both lecture hall and web-based learning techniques. Our present learners benefit from having a solid support system in place when they walk hand-in-hand. In addition to saving money, digitization in learning has proven to be a successful strategy (Grecu et al., 2020). Test systems have reduced the need for paper, which reduces the need for trees to be cut down (Rao et al., 2021). Online exams, made possible by digitization, are now more accessible than ever to students and instructors (Moscoso-Zea et al., 2019). Digital libraries, known as e-textbooks or e-texts, offer students an interactive platform through which engaging presentations and internet links can be accessed via multimedia files. (Park et al., 2020).

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