Books · Data · Emerging Trends · Entrepreneur · ICT · Research

Data Analytics Applications in Education

Title: Data Analytics Applications in Education

Editors: Jan Vanithienen

English | 2018 | ISBN: 1498769276 | 276 Pages
Data Analytics Applications in Education

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.

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Blended · Books · Data · Emerging Trends · Geography · Smart Education · Springer · Teaching

Data-driven approaches to Digital Education

Title: Data-driven approaches to Digital Education

Authors: Springer Conference

English | 2017 | ISBN: 3319666096 | 621 Pages
Data Driven Approaches in Digital Education: 12th European Conference

This book constitutes the proceedings of the 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, held in Tallinn, Estonia, in September 2017.

The 24 full papers, 23 short papers, 6 demo papers, and 22 poster papers presented in this volume were carefully reviewed and selected from 141 submissions.

The theme for the 12th EC-TEL conference on Data Driven Approaches in Digital Education’ aims to explore the multidisciplinary approaches that eectively illustrate how data-driven education combined with digital education systems can look like and what are the empirical evidences for the use of datadriven tools in educational practices.

Books · Data · Educational Philosophy · Storytelling · Teaching

Thinking Diagrams

Title: Thinking Diagrams

Authors: Mickey Kolis, Ben H. Kolis

English | 2016 | ISBN: 1475828683 | 149 Pages
Thinking Diagrams : Processing and Connecting Experiences, Facts, and Ideas

Higher-order thinking questions (and their answers) are considered by many to be the holy grail of teaching. Teachers know when students “get it”, but the question remains “How do you teach students to think explicitly and intentionally?” This book uses a series of diagrams to make thinking explicit by using students’ personal experiences as the foundation for their thinking. Thinking Diagrams will help the reader move beyond understanding what metacognition is to teaching students how to understand their thinking in visual form. This book is filled with contemporary and practical insights regarding helping teachers of all levels foster classrooms rich in student thinking, creativity, and learning.

Books · Data · Educational Philosophy · Uncategorized

Using Data to Improve Higher Education

Using Data to Improve Higher Education: Research, Policy and PracticeTitle: Using Data to Improve Higher Education
Authors: Maria Menon

2014 | pages: 260 | ISBN: 9462097925

In recent decades, higher education systems and institutions have been called to respond to an unprecedented number of challenges. Major challenges emerged with the phenomenal increase in the demand for higher education and the associated massive expansion of higher education systems. In response universities were called to adopt planning and research methods that would enable them to identify and address the needs of a larger, more diverse student body. Higher education institutions began to place greater emphasis on planning and marketing, seeking to maintain their position in an increasingly competitive higher education market. Under the current economic downturn, universities are under pressure to further cut costs while maintaining their attractiveness to prospective students. As a result educational policy makers and administrators are called to select the ‘right’ alternatives, aiming for both efficiency and effectiveness in delivered outcomes. This book provides insights into the use of data as an input in planning and improvement initiatives in higher education. It focuses on uses (and potential abuses) of data in educational planning and policy formulation, examining several practices and perspectives relating to different types of data. The book is intended to address the need for the collection and utilization of data in the attempt to improve higher education both at the systemic and the institutional level.