Learning Analytics: Potential, Protection, and Privacy in the Educational System

Learning Analytics: Potential, Protection, and Privacy in the Educational System

Rakesh Pratap Singh
Copyright: © 2018 |Pages: 18
DOI: 10.4018/978-1-5225-5369-4.ch001
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Abstract

Learning analytics offers many exceptional opportunities, but how can a programme or institution use it successfully? It provides better insight into the teaching process and the feedback from college students ultimately improves schooling: this is the concept behind learning analytics. The use of learning analysis to guide the design and deployment of learning is becoming more popular. Educational institutions at all levels are realising that with the help of technology they are better able to gather data that would be very valuable when analysed. The aim of learning analytics is to apply facts from extraordinary structures and databases that help students to learn and teachers to improve their teaching strategies. To ensure that educational institutions obtain their greatest desires, as done through the usage of learning analytics, there is a vital need to increase the viable requirements analysis method. This is in addition to carrying out the performance evaluation consistent with it. This chapter discusses learning analytics and gives a critical analysis of the potential, protection, and privacy that learning analytics has in educational institutions.
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Predictive Analytics

It typically objectives to are expecting future developments in scholar progress and is usually used to discover college students who would possibly turn out to be “at-hazard” in phrases of low performance or low engagement. In this feel it offers “What will take place” and it's far associated with the “Predict Future Trends in students’ development” final results discussed previously(Elias, T. 2011).

Examples

Predictive Learning Analytics gear consists of the Early Warning System that is a plug in for the Bright Bytes Clarity Learning Management System, and the Engagement Analytics tool, that is a plugin for the Moodle Learning Management System.

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Prescriptive Analytics

It usually pursuits to generate recommendations for in addition coaching and studying moves, e.G., advise opportunity instructional assets or gear. In this feel it presents “What need to we do” and it is associated with the “Recommend Teaching and Learning Actions” final results mentioned previously.

Examples

Prescriptive Learning Analytics tool encompass the Learn Smart tool, advanced with the aid of McGraw-Hill Education, and the Adaptive Quiz device, which is a plugin for the Moodle Learning Management System.

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    Purposes of Learning Analytics: Learning analytics processes can support a number of sports inside the institution. While thus far they were explored by using universities frequently as approach to improve retention, additionally they have capacity benefits for the enhancement of students enjoy.

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