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Data Analytics Applications in Education
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Data analytics can enhance the learning process, improve feedback, and enrich the learning experience.
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- The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their evaluation and decision processes. Also, in education and learning, big data analytics is being used to enhance the learning process, to evaluate efficiency, to improve feedback, and to enrich the learning experience.As every step a student takes in the online world can be traced, analyzed, and used, there are plenty of opportunities to improve the learning process of students. First, data analytics techniques can be used to enhance the student’ s learning process by providing real-time feedback, or by enriching the learning experience. Second, data analytics can be used to support the instructor or teacher. Using data analytics, the instructor can better trace, and take targeted actions to improve, the learning process of the student. Third, there are possibilities in using data analytics to measure the performance of instructors. Finally, for policy makers, it is often unclear how schools use their available resources to produce outcomes. By combining structured and unstructured data from various sources, data analytics might provide a solution for governments that aim to monitor the performance of schools more closely.Data analytics in education should not be the domain of a single discipline. Economists should discuss the possibilities, issues, and normative questions with a multidisciplinary team of pedagogists, philosophers, computer scientists, and sociologists. By bringing together various disciplines, a more comprehensive answer can be formulated to the challenges ahead. This book starts this discussion by highlighting some economic perspectives on the use of data analytics in education. The book begins a rich, multidisciplinary discussion that may make data analytics in education seem as natural as a teacher in front of a classroom.
| Publisher | Auerbach Publications |
| Publication date | September 29, 2017 |
| Edition | 1st |
| Language | English |
| File size | 6.2 MB |
| Enhanced typesetting | Not Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 275 pages |
| Format | Print Replica |
| ISBN-13 | 978-1498769280 |
| Page Flip | Not Enabled |
| Part of series | Data Analytics Applications |
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
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Educators
Teachers and facilitators can use analytics to tailor their teaching approaches and improve student learning outcomes effectively.
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Administrators
School and district administrators benefit from data-driven insights to optimize resource allocation and enhance operational efficiency.
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Policy Makers
Education policymakers can leverage analytics to assess programs, identify gaps, and implement targeted interventions for improved education systems.
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Small Scale Institutions
Small schools with limited data collection capabilities may find this product overly complex and not suited to their needs.
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Характеристики и предимства
- Utilizes big data to transform the educational landscape.
- Provides real-time feedback to enhance student learning.
- Supports instructors in tracking and improving student performance.
- Measures instructor effectiveness through data insights.
- Enables policymakers to understand school resource utilization.
- Encourages multidisciplinary collaboration for comprehensive solutions.
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