
Technology and Tools in Engineering Education
Research and Innovations
- 216 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Technology and Tools in Engineering Education
Research and Innovations
About this book
This book explores the innovative and research methods of the teaching-learning process in Engineering field. It focuses on the use of technology in the field of education. It also provides a platform to academicians and educationalists to share their ideas and best practices.
The book includes specific pedagogy used in engineering education. It offers case studies and classroom practices which also include those used in distance mode and during the COVID-19 pandemic. It provides comparisons of national and international accreditation bodies, directions on cost-effective technology, and it discusses advanced technologies such as VR and augmented reality used in education.
This book is intended for research scholars who are pursuing their masters and doctoral studies in the engineering education field as well as teachers who teach undergraduate and postgraduate courses to engineering students.
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Dedication
- Contents
- Preface
- Acknowledgements
- Editors
- Contributors
- 1 Virtual Experimentation: An Advanced Tool for Educational Technology
- 2 Classroom Practices: Issues, Challenges, and Solutions
- 3 Leveraging Information and Communication Technology for Higher Education amidst the COVID-19 Pandemic
- 4 Investigating Academic Transition during the COVID-19 Pandemic: The Case of an Indian Private University
- 5 Adaptability of Computer-Based Assessment Among Engineering Students at Higher Educational Institutions
- 6 Integration of Digital Technologies for Constructing Influential Learning during the COVID-19 Pandemic in Pakistan
- 7 Applications of ICT: Pathway to Outcome-Based Education in Engineering and Technology Curriculum
- 8 Academic Workers’ Behaviors Toward Scientific Crowdsourcing: A Systematic Literature Review
- 9 Tools and Technology Assisting Accreditation in Engineering Education
- 10 4QS Predictive Model Based on Machine Learning for Continuous Student Learning Assessment
- Index