LEARNING ANALYTICS FOR SMART CLASSROOM IN HIGHER EDUCATION

Vikas Rao Naidu1*, Baldev Singh2, Raza Hasan3, Ghaniya Al Hadrami4
1*Mr., Middle East College, Oman, vikas@mec.edu.om
2Dr., Vivekananda Institute of Technology, India, baldev.vit@gmail.com
3Mr., Middle East College, Oman, raza@mec.edu.om
4Ms., Middle East College, Oman, ghaniya@mec.edu.om
*Corresponding author

Abstract

Higher education sector is always incorporating changes pertaining to the technology to provide better teaching and learning environment to the stakeholders, which includes students and faculty members. A smart classroom is the one, which is equipped with latest tools and technologies that are based on the internet. Various web-based tools are also being used to enhance teaching and learning experience. To provide appropriate content to the students, based on their level of understanding, learning analytics could be helpful. Students would be provided with the content, based on assessments and tests, the result of which could analyze the area of improvement suggested for them. In this way, faculty can ensure that learning is taking place at each level in the classroom. This research paper highlights such environment which provides a strong base for learning analytics for enhanced learning environment especially in higher education.

Keywords
: Dashboard, Educational Data Mining, E-learning, Enhanced teaching and learning practices, Interactive educational tools, Learning analytics, Multimedia in education, Smart Classroom, Technology-enhanced learning.



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CITATION: Abstracts & Proceedings of SOCIOINT 2017- 4th International Conference on Education, Social Sciences and Humanities, 10-12 July 2017- Dubai, UAE

ISBN: 978-605-82433-1-6