Abstract
Data science is a very important factor in the development of educational environments and in institutions, especially in higher education, to make sustainable studies. Higher education institutions can benefit from educational data mining and learning analytics by adopting different data analytics strategies to improve recommendations for the future of the institutions. From a perspective supporting the issue, this book “Adoption of Data Analytics in Higher Education Learning and Teaching” edited by Dirk Ifenthaler and David Gibson presents valuable insights and contributions to higher education institutions regarding the adoption of learning analytics and educational data mining. This book also examines case studies that describe current practices and experiences about the use of data analytics in higher education.
References
- Ifenthaler, D., & Gibson, D. C. (Eds). (2020). Adoption of Data Analytics in Higher Education Learning and Teaching. Cham: Springer.
Abstract
References
- Ifenthaler, D., & Gibson, D. C. (Eds). (2020). Adoption of Data Analytics in Higher Education Learning and Teaching. Cham: Springer.
Details
| Primary Language | English |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | October 1, 2021 |
| Submission Date | August 10, 2021 |
| Published in Issue | Year 2021 Volume: 22 Issue: 4 |