SHAPING LEADERSHIP: THE EFFECTS OF ONLINE TEACHING ON ACADEMIC LEADERS IN INDIAN HIGHER EDUCATION INSTITUTIONS

Authors

  • Jyoti Singh Research Scholar, United University, Uttar Pradesh, India
  • Rajlaxmi Srivastava Associate Professor, Faculty of Commerce & Management, United University, India

DOI:

https://doi.org/10.29121/shodhkosh.v4.i2.2023.3125

Keywords:

Online Teaching, Higher Education, Leaders, Edtech

Abstract [English]

The study investigates teachers’ perceptions of online classes since the onset of the COVID-19 lockdown on March 25, 2020. It explores the transition from traditional education to EdTech and online assessment within the Indian educational system. The objective is to evaluate which of the demographic characteristics of academic leaders impact their adaptation to online teaching and to identify the challenges encountered during this transition. A quantitative approach was utilized, involving a demographic survey of 327 educators across India from public and private colleges. Data were collected through a 5-point Likert scale questionnaire, with reliability assessed using Cronbach's alpha. Statistical analyses, including t-tests and ANOVA with Duncan's Multiple Range Test, were conducted using IBM SPSS 25 to ensure precision. The results revealed that among the six demographic factors examined—age, gender, marital status, educational qualification, income level, and organization—only age, income, and educational qualification significantly affect the adoption of online teaching by faculty members in higher education institutions. Conversely, organization, marital status, and gender do not significantly influence the adoption of online teaching. These findings are pertinent for regulatory authorities and academic leaders as they revise policy frameworks, develop strategic initiatives, and establish technical infrastructures to facilitate the adoption of EdTech. Additionally, the insights gained can guide improvements in training and resources, particularly for institutions aiming to integrate online teaching into regular practice

References

Alareeni, B., & Hamdan, A. (Eds.). (2022). Explore Business, Technology Opportunities and Challenges‎ After the Covid-19 Pandemic. DOI: https://doi.org/10.1007/978-3-031-08954-1

Arora, A. K., & Srinivasan, R. (2020). Impact of pandemic COVID-19 on the teaching–learning process: A study of higher education teachers. Prabandhan: Indian journal of management, 13(4), 43-56. DOI: https://doi.org/10.17010/pijom/2020/v13i4/151825

Assunção Flores, M., & Gago, M. (2020). Teacher education in times of COVID-19 pandemic in Portugal: national, institutional and pedagogical responses. Journal of Education for Teaching, 46(4), 507-516. DOI: https://doi.org/10.1080/02607476.2020.1799709

B.M. (1985), Leadership and Performance Beyond Expectations, 1st ed., Academic Research, New York, NY

B.M. and Avolio, B.J. (1989), Manual for the Multifactor Leadership Questionnaire, Consulting Psychologists Press, Palo Alto, CA.

Bano, S., Rahat, R., & Fischer, F. (2022). Inconsistent Condom Use among Street-Based Transgender Sex Workers in Lahore, Pakistan: Socio-Ecological Analysis based on a Qualitative Study. DOI: https://doi.org/10.21203/rs.3.rs-1568313/v1

Bikmoradi, A., Brommels, M., Shoghli, A., Khorasani-Zavareh, D., & Masiello, I. (2010). Identifying challenges for academic leadership in medical universities in Iran. Medical Education, 44(5), 459-467. DOI: https://doi.org/10.1111/j.1365-2923.2009.03570.x

Buabeng-Andoh, C. (2012). Factors influencing teachers’ adoption and integration of information and communication technology into teaching: A review of the literature. International Journal of Education and Development using ICT, 8(1).

Calderón, A., Scanlon, D., MacPhail, A., & Moody, B. (2021). An integrated blended learning approach for physical education teacher education programmes: teacher educators’ and pre-service teachers’ experiences. Physical Education and Sport Pedagogy, 26(6), 562-577. DOI: https://doi.org/10.1080/17408989.2020.1823961

Comas-Quinn, A. (2011). Learning to teach online or learning to become an online teacher: An exploration of teachers’ experiences in a blended learning course. ReCALL, 23(3), 218-232. DOI: https://doi.org/10.1017/S0958344011000152

Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 189-211. DOI: https://doi.org/10.2307/249688

Cronbach, L.J. (1951), “Coefficient alpha and the internal structure of tests”, Psychometrika, Vol. 16 No. 3, pp. 297-334. DOI: https://doi.org/10.1007/BF02310555

Gratz, E., & Looney, L. (2020). Faculty resistance to change: an examination of motivators and barriers to teaching online in higher education. International Journal of Online Pedagogy and Course Design (IJOPCD), 10(1), 1-14.

Gratz, E., & Looney, L. (2020). Faculty resistance to change: an examination of motivators and barriers to teaching online in higher education. International Journal of Online Pedagogy and Course Design (IJOPCD), 10(1), 1-14. DOI: https://doi.org/10.4018/IJOPCD.2020010101

Gupta, K. P., & Chaudhary, N. S. (2017). Prioritizing the factors influencing whistle blowing intentions of teachers in higher education institutes in India. Procedia Computer Science, 122, 25-32. DOI: https://doi.org/10.1016/j.procs.2017.11.337

Hampel, R., & Stickler, U. (2005). New skills for new classrooms: Training tutors to teach languages online. Computer-assisted language learning, 18(4), 311-326. DOI: https://doi.org/10.1080/09588220500335455

Hattie, J. (2015) Visible Learning: A synthesis of over 800 meta-analyses relating to achievement (Chinese version). Beijing: Educational Science Publishing House. 189, 232

https://statistics.laerd.com/spss-tutorials/independent-t-test-using-spss-statistics.php

Huang, H. M., & Liaw, S. S. (2005). Exploring users' attitudes and intentions toward the web as a survey tool. Computers in human behavior, 21(5), 729-743. DOI: https://doi.org/10.1016/j.chb.2004.02.020

Jones, A. (2004). A Review of the Research Literature on Barriers to the Uptake of ICT by Teachers. British Educational Communications and Technology Agency. Retrieved May 20, 2010 from http://www.becta.org.uk

Joshi, A., Vinay, M., & Bhaskar, P. (2020). Impact of coronavirus pandemic on the Indian education sector: perspectives of teachers on online teaching and assessments. Interactive Technology and Smart Education. DOI: https://doi.org/10.1108/ITSE-06-2020-0087

Kay, R. (2006). Addressing gender differences in computer ability, attitudes, and use The laptop effect. Journal of Educational Computing Research, 34(2), 187-211. DOI: https://doi.org/10.2190/9BLQ-883Y-XQMA-FCAH

Landry, S. H., Zucker, T. A., Williams, J. M., Merz, E. C., Guttentag, C. L., & Taylor, H. B. (2017). Improving school readiness of high-risk preschoolers: Combining high quality instructional strategies with responsive training for teachers and parents. Early Childhood Research Quarterly, 40, 38-51. DOI: https://doi.org/10.1016/j.ecresq.2016.12.001

Liaw, S. S., Huang, H. M., & Chen, G. D. (2007). Surveying instructor and learner attitudes toward e-learning. Computers & Education, 49(4), 1066-1080. DOI: https://doi.org/10.1016/j.compedu.2006.01.001

Lloyd, S. A., Byrne, M. M., & McCoy, T. S. (2012). Faculty-perceived barriers to online education. Journal of online learning and teaching, 8(1).

Makhlouf, K., & Bensafi, Z. (2021). An Exploration of Factors Influencing Teachers’ Attitudes toward the Use of Information and Communication Technology (ICT) in Classroom Practice A Case Study of Secondary School EFL Teachers in the Western District of Chlef, Algeria. Advances in Language and Literary Studies, 12(2), 37-49. DOI: https://doi.org/10.7575/aiac.alls.v.12n.2.p.37

MHRD (2020c), “National education policy 2020”, In Press Information Bureau, pp.33.49,availableat:https://static.pib.gov.in/WriteReadData/userfiles/NEP_Final_English_0.pdf (accessed 23 August 2020)

Mitchell, S. G., Schwartz, R. P., Alvanzo, A. A., Weisman, M. S., Kyle, T. L., Turrigiano, E. M., ... & Stitzer, M. L. (2015). The use of technology in participant tracking and study retention: lessons learned from a clinical trials network study. Substance abuse, 36(4), 420-426. DOI: https://doi.org/10.1080/08897077.2014.992565

Nambiar, D. (2020). The impact of online learning during COVID-19: students’ and teachers’ perspectives. The International Journal of Indian Psychology, 8(2), 783-793.

Nash, J. A. (2015). Future of Online Education in Crisis: A Call to Action. Turkish Online Journal of Educational Technology-TOJET, 14(2), 80-88.

Norris, C., Sullivan, T., Poirot, J., & Soloway, E. (2003). No access, no use, no impact: snapshot surveys of educational technology in K# x2013; 12. Journal of research on technology in education, 36(1), 15-27. DOI: https://doi.org/10.1080/15391523.2003.10782400

Nunually, J.C. (1970), Introduction to Psychological Measurement, 3rd ed., McGraw-Hill, New York, NY.

Peralta, H., & Costata, F. A. (2007). Teachers's competence and confidence regarding the use of ICT. Sísifo-Educational Sciences Journal, 75-84.

Rogers, L., & Finlayson, H. (2003). Does ICT in science really work in the classroom. School Science Review, 84(309), 105-111.

Rowand, C. (2000). Teacher Use of Computers and the Internet in Public Schools. Education Statistics Quarterly, 2(2), 72-75.

Saeed, S., Bolívar, M. P. R., & Thurasamy, R. (2021). Pandemic, Lockdown, and Digital Transformation. DOI: https://doi.org/10.1007/978-3-030-86274-9

Schiller, J. (2003). Working with ICT: Perceptions of Australian principals. Journal of Educational Administration. DOI: https://doi.org/10.1108/09578230310464675

Sharma, A.K. (2020), “COVID-19: creating a paradigm shift in India’s education system”, Economic Times Blog, available at: https://economictimes.indiatimes.com/blogs/et-commentary/covid-19- creating-a-paradigm-shift-in-India’s-education-system/ (accessed 31 July 2020)

Stockdill, S. H., & Morehouse, D. L. (1992). Critical factors in the successful adoption of technology: A checklist based on TDC findings. Educational Technology, 32(1), 57-58.

The Robert Gordon University on 2015-09-29 submitted work

U.S. Department of Education. National Center for Education Statistics. (2000). Teachers’ tools for the 21st Century: A Report on teachers’ use of technology.

UNESCO (2020), COVID-19 Educational Disruption and Response, UNESCO, available at: https://en.unesco. org/covid19/education response (accessed 16 June 2020)

Verma, G., Campbell, T., Melville, W., & Park, B. Y. (2020). Science teacher education in the times of the COVID-19 pandemic. Journal of Science Teacher Education, 31(5), 483-490. DOI: https://doi.org/10.1080/1046560X.2020.1771514

Yildirim, S. (2007). “Current Utilization of ICT in Turkish Basic Education Schools: A Review of Teacher's ICT Use and Barriers to Integration”. International Journal of Instructional Media, vol. 34, no.2, pp. 171-86

Yildirim, S. (2007). Current utilization of ICT in Turkish basic education schools: A review of teacher's ICT use and barriers to integration. International journal of instructional media, 34(2), 171.

Yuen, A. H., & Ma, W. W. (2008). Exploring teacher acceptance of e‐learning technology. Asia‐Pacific Journal of Teacher Education, 36(3), 229-243. DOI: https://doi.org/10.1080/13598660802232779

Zulfqar, A., Valcke, M., Devos, G., Shah, F. A., & Shahzad, A. (2016). Leadership development, a rough road to travel: Evaluation of an academic leadership training intervention program. PONTE, 72, 2–17 DOI: https://doi.org/10.21506/j.ponte.2016.4.13

(Science Insight Education frontier vol-5,2020)

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Published

2023-12-31

How to Cite

Singh, J., & Srivastava, R. (2023). SHAPING LEADERSHIP: THE EFFECTS OF ONLINE TEACHING ON ACADEMIC LEADERS IN INDIAN HIGHER EDUCATION INSTITUTIONS. ShodhKosh: Journal of Visual and Performing Arts, 4(2), 1900–1912. https://doi.org/10.29121/shodhkosh.v4.i2.2023.3125