• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2023, Volume: 16, Issue: 48, Pages: 4624-4630

Original Article

Factors Influencing Digital Transformation in Learning in Universities with Special Reference to Karnataka State

Received Date:20 July 2023, Accepted Date:22 November 2023, Published Date:30 December 2023


Objectives: To examine the factors influencing Digital Transformation in Learning and their association with Digital Transformation considering professionals working in educational institutions and universities offering digital platform in learning. Methods: To gather the relevant data, the survey method adopted was cross sectional in nature. Reliability Analysis, Convergent Validity, Structural Equation Modelling were considered for assessing the data. Data was gathered from 316 professionals working in Karnataka Universities in India having digital platforms to enable learning. Findings: The model indices were found to be acceptable. The RMSEAp value was found to be less than 0.05 indicating a good model fit. Values of AVE ranged between 0.511 to 0.926 crossing the cut-off value 0.5. The path model statistics p value obtained were less than 0.05, thus proving there was an association between the factors considered in the present research. The significant factors influencing digital transformation in learning were identified with significance values as: Instructor (0.01), Learner (0.04), Course Curriculum (0.01), Evaluation (0.01) and Learning Environment (0.01). The significant values were found to be below the threshold value of 0.05, therefore proved to be the significant factors having an impact on digital learning. Novelty: The present research is an attempt to identify the significant factors influencing digital transformation in learning in the universities located in Karnataka State of India. The research adds further knowledge to the existing works in the similar area by focusing on the most relevant factors required for the successful execution of digital platform for learning which is currently booming in the education sector.

Keywords: Digital Transformation, Learning, Learner, Instructor, Curriculum, Evaluation, Learning Environment


  1. Timotheou S, Miliou O, Dimitriadis Y, Sobrino SV, Giannoutsou N, Cachia R, et al. Impacts of digital technologies on education and factors influencing schools' digital capacity and transformation: A literature review. Education and Information Technologies. 2023;28:6695–6726 . Available from: https://doi.org/10.1007/s10639-022-11431-8
  2. Hanelt A, Bohnsack R, Marz D, Marante CA. A Systematic Review of the Literature on Digital Transformation: Insights and Implications for Strategy and Organizational Change. Journal of Management Studies. 2021;58(5):1159–1197. Available from: https://doi.org/10.1111/joms.12639
  3. Bilyalova AA, Salimova DA, Zelenina TI. Digital Transformation in Education. In: International Conference on Integrated Science, ICIS 2019: Integrated Science in Digital Age, Lecture Notes in Networks and Systems. Springer, Cham. 78:265–276.
  4. Reis JSdM, Costa ACF, Espuny M, Batista WJ, Francisco FE, Gonçalves GS, et al. Education 4.0: Gaps Research Between School Formation and Technological Development. In: 17th International Conference on Information Technology–New Generations (ITNG 2020) , Advances in Intelligent Systems and Computing. 1134:415–420.
  5. Laorach C, Tuamsuk K. Factors Influencing the Digital Transformation of Universities in Thailand. International Journal of Innovative Research and Scientific Studies. 2022;5(3):211–219. Available from: https://doi.org/10.53894/ijirss.v5i3.646
  6. Bilyalova AA, Salimova DA, Zelenina TI. Digital Transformation in Education. In: International Conference on Integrated Science, ICIS 2019: Integrated Science in Digital Age, Lecture Notes in Networks and Systems. (Vol. 78, pp. 265-276) Springer International Publishing. 2020.
  7. Dolenc K, Šorgo A, Ploj-Virtič M. Perspectives on Lessons From the COVID-19 Outbreak for Post-pandemic Higher Education: Continuance Intention Model of Forced Online Distance Teaching. European Journal of Educational Research. 2022;11(1):163–177. Available from: https://doi.org/10.12973/eu-jer.11.1.163
  8. Vu DV, Tran GN, Nguyen CV. Digital Transformation, Student Satisfaction, Word of Mouth and Online Learning Intention in Vietnam. Emerging Science Journal. 2022;6:40–54. Available from: https://doi.org/10.28991/ESJ-2022-SIED-04
  9. Thi HP, Tran QN, La LG, Doan HM, Vu TD. Factors motivating students' intention to accept online learning in emerging countries: the case study of Vietnam. Journal of Applied Research in Higher Education. 2023;15(2):324–341. Available from: https://doi.org/10.1108/JARHE-05-2021-0191
  10. Alhubaishy A, Aljuhani A. The challenges of instructors’ and students’ attitudes in digital transformation: A case study of Saudi Universities. Education and Information Technologies. 2021;26(4):4647–4662. Available from: https://doi.org/10.1007/s10639-021-10491-6
  11. Orellana V, Cevallos Y, Tello-Oquendo L, Inca D, Palacios C, Renteria L. Quality Evaluation Processes and its Impulse to Digital Transformation in Ecuadorian Universities. In: 2019 Sixth International Conference on eDemocracy & eGovernment (ICEDEG). Quito, Ecuador, 24-26 April 2019. IEEE. .
  12. Mccarthy AM, Maor D, Mcconney A, Cavanaugh C. Digital transformation in education: Critical components for leaders of system change. Social Sciences & Humanities Open. 2023;8(1):1–15. Available from: https://doi.org/10.1016/j.ssaho.2023.100479
  13. Rudhumbu N, Parawira W, Bhukuvhani C, Nezandoyi J, Majoni C, Chikosha F, et al. Insight into online teaching behaviour of lecturers in Zimbabwean universities during the COVID-19 era and beyond: issues and challenges. The International Journal of Information and Learning Technology. 2021;38(5):518–539. Available from: https://doi.org/10.1108/IJILT-07-2021-0104
  14. Nunnally JC, Bernstein IH. Psychometric theory, McGraw-Hill series in psychology (3). (p. xxiv, 752) New York, USA. McGraw Hill. 1994.
  15. Kavyashree MB, Kulenur S, Nagesh P, TSN. Relationship between Human Resource Management Practices and Employee Engagement. Brazilian Journal of Operations & Production Management. 2022;20(1):1–15. Available from: https://doi.org/10.14488/BJOPM.1331.2023
  16. Kock N. Hypothesis Testing with Confidence Intervals and P Values in PLS-SEM. International Journal of e-Collaboration. 2016;12(3):1–6. Available from: https://www.igi-global.com/gateway/article/163226
  17. Kim KH, Bentler M. Data Modeling: Structural Equation Modeling. In: Handbook of complementary methods in education research (3). (pp. 161-175) New York. Lawrence Erlbaum Associates. 2006.
  18. Jr. JFH, Sarstedt M, Hopkins L, Kuppelwieser VG. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review. 2014;26(2):106–121. Available from: https://doi.org/10.1108/EBR-10-2013-0128
  19. Nguyen TH, Van QN, Tuyet MNT. An Empirical Study of Principals' Leadership Styles with Faculty Commitment. Emerging Science Journal. 2022;6(3):603–618. Available from: https://doi.org/10.28991/ESJ-2022-06-03-013
  20. Bond M, Marín VI, Dolch C, SB, OZR. Digital transformation in German higher education: student and teacher perceptions and usage of digital media. International Journal of Educational Technology in Higher Education. 2018;15:1–20. Available from: https://doi.org/10.1186/s41239-018-0130-1


© 2023 Shreeharsha et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)


Subscribe now for latest articles and news.