Applying Learning Analytics for Designing Effective Pedagogy for Online Courses: Analysis and Recommendations

Authors

  • Dr. Muralidhar Kurni Associate Professor, Department of CSE, Anantha Lakshmi Institute of Technology & Sciences, Ananthapuramu, India.
  • Dr. Saritha K Principal, S.V. Degree & P.G. College, Anantapur, Andhra Pradesh. India.
  • Dr. Mujeeb Shaik Mohammed Assistant Professor in Computer Science & Engineering department, SoT, GITAM (Deemed to be University), Hyderabad, India
  • Mr. Sheikh Gouse PhD Schloar, Computer Science and Engineering Department, Osmania University Campus, Hyderabad, India

DOI:

https://doi.org/10.3991/ijet.v17i13.28873

Keywords:

Online learning, Online teaching, Online courses, Feedback, Learning experience, COVID 19, Learner behaviour, Quality of Online course, Pedagogy, Learner engagement and retention

Abstract


The countrywide lockdown since March 2020 due to COVID 19 pandemic has brought drastic changes in the Indian education system. Today, many higher education institutions offer online delivery as an alternative and/or addition to provide more flexibility to learners, specifically in the current COVID 19 Pandemic. The conventional teaching method to the technology-driven virtual mode of teaching provided opportunities with challenges to academic stakeholders. Now with the new session, discussions on the reopening of educational institutions are going on. Hence, it is time to review the learning that took place during this pandemic situation. Learners being confronted with such services come with different expectations of what that means to their learning paths and behaviors. Learning Analytics is a relatively new and innovative way of making learner behavior and performances explicit by analyzing significant learners' feedback data. In this study, we take the case of online courses offered by various educational institutions all over India, and the analysis encompasses the population of learners of the online courses during the COVID 19 Pandemic period. Primary data has been collected using Google form when journals, reports, and websites are secondary data collection sources. We classified the data into distinctive parts: the overall learning experience of this course, the fulfillment of the learners' objectives, the difficulty of the assignments, the quality of the material supplied, the difficulty level of the course, the quality of the live session, opinion about the virtual approach of teaching, opinion about the contribution of virtual academic programs on knowledge building, opinion about the impact of virtual mode of teaching on performance, and opinion about the causes affecting students’ performance in the virtual mode of learning. The analysis outcomes will guide the host institutions and other similar institutions to design their pedagogy for future online courses more effectively, influencing learner engagement and retention.

Author Biographies

Dr. Muralidhar Kurni, Associate Professor, Department of CSE, Anantha Lakshmi Institute of Technology & Sciences, Ananthapuramu, India.

Dr. Muralidhar Kurni is currently working as an Associate Professor in the Department of CSE, Anantha Lakshmi Institute of Technology & Sciences, Ananthapuramu, India. He previously worked as an Assistant Professor in the Department of Computer Science at GITAM (Deemed to be University), Hyderabad. He is the Senior Member of IEEE and a professional member of ACM. He received his Ph.D. in Computer Science and Engineering from JNTUA, Ananthapuram in 2021. He has more than 22 years of teaching experience. He is an IUCEE & IGIP certified International Engineering Educator & researcher. He has several scholarly publications to his credit. He published around 50 papers & book chapters at various national and international conferences, journals & books. He is the author of the textbook "A Beginner's Guide to Learning Analytics" published by Springer. Four of his papers received the best paper awards; two among them are the IEEE Conference Best Paper awards. He has been a reviewer for IEEE, Elsevier, and various International Conferences & Journals, including SCIE & Scopus indexed Journals. He has been awarded as an Outstanding Reviewer for Elsevier’s FGCS Journal, in 2017. He served as a Guest Editor for the Special Issue on "Security, Privacy, and Trust in IoT" of IJWNBT Journal, IGI Global. His research interests include Mobile Cloud Computing, Networking and Communications, Sensor Networks, Mobile Computing, Design Thinking, and Engineering Education Research. (email: muralidhar.kurni@gmail.com).

Dr. Saritha K, Principal, S.V. Degree & P.G. College, Anantapur, Andhra Pradesh. India.

Dr Saritha. K is currently working as Principal, S.V. Degree & P.G. College, Anantapur, Andhra Pradesh. She worked as Assistant Professor & Skill Development Coordinator at Madanapalle Institute of Technology & Science, Madanapalle, Chittoor. She worked as Assistant Professor at Dept. of MCA, K.S.R.M College of Engineering, Kadapa, Andhra Pradesh, and Lecturer at Computer Science Department, National Degree College, Nandyal, Andhra Pradesh. She has conducted several skill development activities for students through APSSDC at Madanapalle Institute of Technology & Science, and two of the student apps got selected as the best apps by Andhra Pradesh State Government. She has received M.Sc in Computer Science from S.K. University, Anantapur, Andhra Pradesh, M.Phil in Computer Science from Sri Padmavati Mahila Visvavidyalayam (Women’s University), Tirupati, Andhra Pradesh and Ph.D. in Computer Science from Sri Padmavati Mahila Visvavidyalayam (Women’s University), Tirupati, Andhra Pradesh, India. She has 20+ years of teaching experience. She has presented more than 15 papers at various national & international conferences and journals. Her research interests are Digital Pedagogy, Design Thinking, Pedagogy refinement, Data Mining, & Machine Learning. (email: ksaritha.phd@gmail.com).

Dr. Mujeeb Shaik Mohammed , Assistant Professor in Computer Science & Engineering department, SoT, GITAM (Deemed to be University), Hyderabad, India

Mr. Mujeeb Shaik Mohammed is working as an Assistant Professor in Computer Science & Engineering department, SoT, GITAM (Deemed to be University), Hyderabad, and Research Scholar at Jawaharlal Nehru Technological University Anantapur, Ananthapuramu. He completed his M.Tech in Artificial Intelligence from the University of Hyderabad. He has around 12 years of teaching experience. He has presented papers at various International Conferences and published papers in reputed International Journals. He is a life member of CSI and ISTE. (email: mujeeb.smd@gmail.com).

Mr. Sheikh Gouse, PhD Schloar, Computer Science and Engineering Department, Osmania University Campus, Hyderabad, India

Mr. Sheikh Gouse is pursuing his Ph.D. in the Department of CSE, Osmania University, Hyderabad, India. He completed his B. Tech in Information Technology and M.Tech in Computer Science and Engineering from the Jawaharlal Nehru Technology University (JNTU), Hyderabad. He has around 13 years of teaching and 2 Year's Industry experience. He has presented various papers at International Conferences and in International Journals. He is a life member of ISTE. (email: sheikh.gouse@gmail.com).

Cover iJET Vol. 17 No. 13 (2022)

Downloads

Published

2022-07-11

How to Cite

Kurni, M., K, S., Shaik Mohammed , M., & Sheikh, G. . (2022). Applying Learning Analytics for Designing Effective Pedagogy for Online Courses: Analysis and Recommendations. International Journal of Emerging Technologies in Learning (iJET), 17(13), pp. 145–156. https://doi.org/10.3991/ijet.v17i13.28873

Issue

Vol. 17 No. 13 (2022)

Section

Papers

License

Copyright (c) 2022 Dr. Muralidhar Kurni, Dr. Saritha K, Dr. Mujeeb Shaik Mohammed , Mr. Sheikh Gouse

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.