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S N Panda

Work place: Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India

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Research Interests: Information-Theoretic Security, Network Security, Information Security, Hardware Security, Application Security, Operating Systems

Biography

Prof. S. N. Panda, Director Research, Chitkara University is Ph.D. in Computer Science with more than 25 years teaching and research experience and working towards development of innovative technologies and product based on Internet of things. He has expertise in Cyber security, Networking, Advanced Operating System, he has published numerous papers based on these areas and produced 5 Ph.Ds and currently he is guiding 7 Ph.D. Scholars and 3 ME Scholars. He has filed 5 patents in the relevant area and involved in Internet of things healthcare devices like Portable Intensive Care Unit, Digital Laryngoscope etc. He has developed the prototype of Smart Portable Intensive Care Unit through which doctor can provide the immediate virtual medical assistance to emergency cases in ambulance and won prestigious Millennium Alliance Award from FICCI in 2017 and seed funding for his project. He is also working on a project “Cyber Technology Communication for Women Safety” which is funded by Ministry of Science and Technology, Govt. of India. He has been bestowed with “Adroit Researcher Award” for the outstanding contribution in the field of Education and Research, during the “International Conference on “Interdisciplinary Research for Sustainable Development (IRSD- 2016)” in NITTTR Chandigarh and COSMIC Outstanding Researcher Award from COSMIC Journal, Thailand. He is also proud recipient of Teacher’s Excellence Award from Chitkara University, Punjab INDIA. He received Certificate of Appreciation as Productive Member of International Reviewer Board, Informing Science, Vilnius, Lithuania (Europe) 2014 and Appreciation Award by ISI Florida, USA for excellent work as Member of International Board of Reviewer 2015. He represented Chitkara University in TiECON 2017, in Silicon Valley, California, USA.

Author Articles
Identification of Influencing Factors for Enhancing Online Learning Usage Model: Evidence from an Indian University

By Sachin Ahuja Puninder Kaur S N Panda

DOI: https://doi.org/10.5815/ijeme.2019.02.02, Pub. Date: 8 Mar. 2019

With advent of technology online education has become the core of educational settings worldwide. This paper aims to identify the factors that contribute in enhancing the online learning usage model in context of India, an emerging leader in Educational settings across the globe. In this study, data mining techniques were applied on the data collected from the log files of online courses. The initial investigations supported the use of custom build framework for teaching online courses. Data Structure course was taught using online platform and the data was collected using the log files. The data collected was further analysed using data mining techniques using Rapid miner tool. Although the results from three different data mining techniques showed some variations but the inferences from the results identified few common factors that have influence on enhancing the online learning usage model. Clustering techniques revealed that factors related to timely checking of online contents and posting have positive impact on online learning however decision trees supported that timely completing the online assignments along with checking of online contents and posting of messages played an important role in terms of enhancing the academic performance. This paper identifies three factors for teachers teaching online courses to improve overall performance of the students by learning from Indian University Success.

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