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PRODUCTION & MANUFACTURING

Student workload assessment for online learning: An empirical analysis during Covid-19

& ORCID Icon | (Reviewing editor)
Article: 2010509 | Received 27 May 2021, Accepted 15 Nov 2021, Published online: 10 Jan 2022

References

  • Adedoyin, O. B., & Soykan, E. (2020). Covid-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 2(1), 1–18. https://doi.org/10.1080/10494820.2020.1813180
  • Adnan, M., & Anwar, K. (2020). Online learning amid the COVID-19 pandemic: Students’ perspectives. Online Submission, 2(1), 45–51. http://www.doi.org/10.33902/JPSP. 2020261309
  • Alghamdi, A., Karpinski, A. C., Lepp, A., & Barkley, J. (2020). Online and face-to-face classroom multitasking and academic performance: Moderated mediation with self-efficacy for self-regulated learning and gender. Computers in Human Behavior, 1021, 214–222. https://doi.org/10.1016/j.chb.2019.08.018
  • Amro, A., Albakry, S., Jaradat, M., Khaleel, M., Kharroubi, T., Dabbas, A., & Dwaik, R. (2020). Musculoskeletal disorders and association with social media use among university students at the quarantine time of COVID-19 outbreak. Journal of Physical Medicine & Rehabilitation Studies. 1(1), 1–7. http://www.annexpublishers.com/articles/JPMRS/1104-Musculoskeletal-Disorders-and-Association-with-Social-Media-Use-Among-University-Students-at-the-Quarantine-Time-Of-COVID-19-Outbreak.pdf
  • Arbuckle, J. L. (2011). IBM SPSS Amos 20 user’s guide. Amos Development Corporation, SPSS Inc.
  • Batu, M., Bower, N., Lun, E., & Sadanand, A. (2018). Testing the effectiveness of online assignments in theory of finance. Journal of Education for Business, 93(3), 119–127. https://doi.org/10.1080/08832323.2018.1425660
  • Bayerlein, L. (2020). The impact of prior work-experience on student learning outcomes in simulated internships. Journal of University Teaching & Learning Practice, 17(4), 4–20. https://doi.org/10.53761/1.17.4.4
  • Bhattacharya, S., Saleem, S. M., & Singh, A. (2020). Digital eye strain in the era of COVID-19 pandemic: An emerging public health threat. Indian Journal of Ophthalmology, 68(8), 1709. https://doi.org/10.4103/ijo.IJO_1782_20
  • Billett, S., & Ovens, C. (2007). Learning about work, working life and post‐school options: Guiding students’ reflections on paid part‐time work. Journal of Education and Work, 20(2), 75–90. https://doi.org/10.1080/13639080701314613
  • Bowles, N. (2018). The digital gap between rich and poor kids is not what we expected. The New York Times, 26, 2018. https://www.nytimes.com/2018/10/26/style/digital-divide-screens-schools.html
  • Byers, J. C. (1989). Traditional and raw task load index (TLX) correlations: Are paired comparisons necessary? Advances in Industrial Erfonomics and Safety L: Taylor and Francis, 3(2), 22–35. https://ci.nii.ac.jp/naid/10006466582/
  • Cao, W., Fang, Z., Hou, G., Han, M., Xu, X., Dong, J., & Zheng, J. (2020). The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Research, 287(1), 221–236. https://doi.org/10.1016/j.psychres.2020.112934
  • Capa, R. L., Audiffren, M., & Ragot, S. (2008). The interactive effect of achievement motivation and task difficulty on mental effort. International Journal of Psychophysiology, 70(2), 144–150. https://doi.org/10.1016/j.ijpsycho.2008.06.007
  • Colligan, L., Potts, H. W. W., Finn, C. T., & Sinkin, R. A. (2015). Cognitive workload changes for nurses transitioning from a legacy system with paper documentation to a commercial electronic health record. International Journal of Medical Informatics, 84(7), 469–476. https://doi.org/10.1016/j.ijmedinf.2015.03.003
  • Corrales, C., Rojas, J., & Atoche, W. (2020). Impact of Pre-professional Practices on the Excessive Mental Workload of University Engineering Students. International Conference on Applied Human Factors and Ergonomics, 437–444. Cham: Springer.
  • Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018
  • Diamantes, T. (2007). Technology’s impact on graduate level reading: Using technology to improve student assignment completion rates. College Student Journal, 41(1), 79–89. https://eric.ed.gov/?id=EJ765407
  • Easterby-Smith, M., Thorpe, R., & Jackson, P. R. (2012). Management research. Sage.
  • Elberkawi, E. K., Maatuk, A. M., Elharish, S. F., & Eltajoury, W. M. (2021). Online Learning during the COVID-19 Pandemic: Issues and Challenges. 2021 IEEE 1st International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering MI-STA, 902–907. Tripoli, Libya. IEEE.
  • Favale, T., Soro, F., Trevisan, M., Drago, I., & Mellia, M. (2020). Campus traffic and e-Learning during COVID-19 pandemic. Computer Networks, 176(1), 107–130. https://doi.org/10.1016/j.comnet.2020.107290
  • Gillett-Swan, J. (2017). The challenges of online learning: Supporting and engaging the isolated learner. Journal of Learning Design, 10(1), 20–30. https://doi.org/10.5204/jld.v9i3.293
  • Gillies, R. M. (2004). The effects of communication training on teachers’ and students’ verbal behaviours during cooperative learning. International Journal of Educational Research, 41(3), 257–279. https://doi.org/10.1016/j.ijer.2005.07.004
  • Grimm, P. (2010). Social desirability bias. In J. N. Sheth & N. K. Malhotra (Eds.),Wiley International Encyclopedia of Marketing. John Wiley & Sons Ltd. https://doi.org/10.1002/9781444316568.wiem02057
  • Gustafsson, E., Thomée, S., Grimby-Ekman, A., & Hagberg, M. (2017). Texting on mobile phones and musculoskeletal disorders in young adults: A five-year cohort study. Applied Ergonomics, 58(3), 208–214. https://doi.org/10.1016/j.apergo.2016.06.012
  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis, 7th edition, (Vol. 5). Pearson.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis: Pearson new international edition. Pearson Education Limited.
  • Hannah, N., & Strauss, V. (2020). America is about to start online learning, Round 2. For millions of students, it won’t be any better. The Washington Post, 1. Fred Ryan Publishing company. https://www.washingtonpost.com/local/education/america-is-about-to-start-online-learning-round-2-for-millions-of-students-it-wont-be-any-better/2020/08/05/20aaabea-d1ae-11ea-8c55-61e7fa5e82ab_story.html
  • Harper, F. M., Li, X., Chen, Y., & Konstan, J. A. (2005). An economic model of user rating in an online recommender system. International Conference on User Modeling, 307–316. Berlin,Germany: Springer.
  • Hart, S. G. (2006). NASA-task load index (NASA-TLX); 20 years later. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 50( 9), 904–908. Los Angeles, CA: Sage publications Sage CA.
  • Hart, S. G., & Staveland, L. E. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In P. A. Hancock and N. Meshkati (Eds.),Human mental workload (pp. 139–183, Vol. 52). Amsterdam, North-Holland: Elsevier.
  • Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. Educause Review, 1(1) , 27. https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote-teaching-and-online-learning
  • Hoonakker, P., Carayon, P., Gurses, A. P., Brown, R., Khunlertkit, A., McGuire, K., & Walker, J. M. (2011). Measuring workload of ICU nurses with a questionnaire survey: The NASA Task Load Index (TLX). IIE Transactions on Healthcare Systems Engineering, 1(2), 131–143. https://doi.org/10.1080/19488300.2011.609524
  • Jahangeer, S. (2020). How lockdown reveals actual state of e-education in India. The Times of India, 3. The times group. https://government.economictimes.indiatimes.com/news/education/how-lockdown-reveals-actual-state-of-e-education-in-India/75803841
  • Joshi, O., Chapagain, B., Kharel, G., Poudyal, N. C., Murray, B. D., & Mehmood, S. R. (2020). Benefits and challenges of online instruction in agriculture and natural resource education. Interactive Learning Environments, 4(2), 1–12. https://doi.org/10.1080/10494820.2020.1725896
  • Kember, D., Lee, K., & Li, N. (2001). Cultivating a sense of belonging in part-time students. International Journal of Lifelong Education, 20(4), 326–341. https://doi.org/10.1080/02601370117754
  • Kember*, D. (2004). Interpreting student workload and the factors which shape students’ perceptions of their workload. Studies in Higher Education, 29(2), 165–184. https://doi.org/10.1080/0307507042000190778
  • Khanna, R., & Kareem, J. (2021). Creating inclusive spaces in virtual classroom sessions during the COVID pandemic: An exploratory study of primary class teachers in India. International Journal of Educational Research Open, 2(2), 38–55. https://doi.org/10.1016/j.ijedro.2021.100038
  • Krueger, A., & Ashenfelter, O. (1992). Estimates of the economic return to schooling from a new sample of twins. National Bureau of Economic Research.
  • Kumar, R. (2020). Lockdown is disrupting a generation’s education. What can be done? The Wire. Foundation for Independent Journalism. https://thewire.in/education/coronavirus-lockdown-education-students
  • Lai, C.-H., Lin, H.-W., Lin, R.-M., & Tho, P. D. (2019). Effect of peer interaction among online learning community on learning engagement and achievement. International Journal of Distance Education Technologies (IJDET), 17(1), 66–77. https://doi.org/10.4018/IJDET.2019010105
  • Lancet, T. (2020). India under COVID-19 lockdown. Lancet (London, England), 395(10233), 1315. https://doi.org/10.1016/S0140-6736(20)30938-7
  • Lathabhavan, R., & Griffiths, M. (2020). First case of student suicide in India due to the COVID-19 education crisis: A brief report and preventive measures. Asian Journal of Psychiatry, 53(1), 22–40. https://doi.org/10.1016/j.ajp.2020.102202
  • Lee, A. (2020, September 21). Nearly 70% of local students find online learning boring. Hong Kong Living, 1–4. https://hongkongliving.com/online-learning-boring-survey
  • Lemay, D. J., & Doleck, T. (2020). Predicting completion of massive open online course (MOOC) assignments from video viewing behavior. Interactive Learning Environments, 2(3) , 1–12. https://doi.org/10.1080/10494820.2020.1746673
  • Levitt, S. D. (1995). Using electoral cycles in police hiring to estimate the effect of policeon crime. National Bureau of Economic Research.
  • Liguori, E., & Winkler, C. (2020). From offline to online: Challenges and opportunities for entrepreneurship education following the COVID-19 pandemic. SAGE Publications Sage CA.
  • Mayer, R. E. (2019). Thirty years of research on online learning. Applied Cognitive Psychology, 33(2), 152–159. https://doi.org/10.1002/acp.3482
  • McPherson, M. S., & Bacow, L. S. (2015). Online higher education: Beyond the hype cycle. Journal of Economic Perspectives, 29(4), 135–154. https://doi.org/10.1257/jep.29.4.135
  • Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2009). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. Centre for Learning Technology.
  • Molinari, D. L., Dupler, A. E., & Lungstrom, N. (2005). The stress of online learning. In Rogers, P. L., Berg, G. A., Boettcher, J. V., Howard, C., Justice, L., & Schenk, K. D. (Eds.),Encyclopedia of distance learning, Second Edition (4 Volumes,pp. 1674–1679). IGI Global.
  • Moustafa, K., Luz, S., & Longo, L. (2017). Assessment of mental workload: A comparison of machine learning methods and subjective assessment techniques. International Symposium on Human Mental Workload: Models and Applications, 30–50. Dublin, Ireland: Springer.
  • Muthuprasad, T., Aiswarya, S., Aditya, K. S., & Jha, G. K. (2021). Students’ perception and preference for online education in India during COVID-19 pandemic. Social Sciences & Humanities Open, 3(1), 100101. https://doi.org/10.1016/j.ssaho.2020.100101
  • Natalie, G. (2020, December 22). Virtual learning is hard. The Dispatch, 1. https://thedispatchonline.net/13118/journalism-1/virtual-learning-is-hard
  • Nunnally, J. C. (1994). Psychometric theory 3E. Tata McGraw-hill education.
  • Okon, J. J. (2011). Role of non-verbal communication in education. Mediterranean Journal of Social Sciences, 2(5), 35. https://www.richtmann.org/journal/index.php/mjss/article/view/10896
  • Pawar, R. (2020, July 2). Online education: Bored students and exhausted teachers. India Today, 1–3. https://www.indiatoday.in/India-today-insight/story/online-education-bored-students-and-exhausted-teachers-1696011-2020-07-02
  • Richardson, J. T. E., & Woodley, A. (2003). Another look at the role of age, gender and subject as predictors of academic attainment in higher education. Studies in Higher Education, 28(4), 475–493. https://doi.org/10.1080/0307507032000122305
  • Ruiz-Gallardo, J.-R., Castaño, S., Gómez-Alday, J. J., & Valdés, A. (2011). Assessing student workload in problem based learning: Relationships among teaching method, student workload and achievement. A case study in Natural Sciences. Teaching and Teacher Education, 27(3), 619–627. https://doi.org/10.1016/j.tate.2010.11.001
  • Sahu, P. (2020). Closure of universities due to Coronavirus Disease 2019 (COVID-19): Impact on education and mental health of students and academic staff. Cureus, 12(4), 4. https://www.cureus.com/articles/30110-closure-of-universities-due-to-coronavirus-disease-2019-covid-19-impact-on-education-and-mental-health-of-students-and-academic-staff
  • Sharma, K. (2020, May 7). Govt turns to ‘TV classrooms’ as online lessons prove to be a challenge during lockdown. The Print, 1. Printline Media Pvt. Ltd. https://theprint.in/India/education/govt-turns-to-tv-classrooms-as-online-lessons-prove-to-be-a-challenge-during-lockdown/415683
  • Shobhit, M. (2020, April). Technological, social, pedagogical issues must be resolved for online teaching. Indian Express, 1. https://indianexpress.com/article/opinion/columns/India-coronavirus-lockdown-online-education-learning-6383692
  • Snell, D., Gatt, K., & Gekara, V. (2016). Cross-occupational skill transferability: Challenges and opportunities in a changing economy. National Centre for Vocational Education Research.
  • Son, C., Hegde, S., Smith, A., Wang, X., & Sasangohar, F. (2020). Effects of COVID-19 on college students’ mental health in the United States: Interview survey study. Journal of Medical Internet Research, 22(9), e21279. https://doi.org/10.2196/21279
  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. Allyn & Bacon/Pearson Education.
  • Therisa, K. K., & Michael, S. (2021, January 1). Demonstration of the relationship between MSD and online learning during the COVID-19 pandemic. Journal of Applied Research in Higher Education. https://doi.org/10.1108/JARHE-08-2020-0269
  • Tubbs-Cooley, H. L., Mara, C. A., Carle, A. C., & Gurses, A. P. (2018). The NASA task load index as a measure of overall workload among neonatal, paediatric and adult intensive care nurses. Intensive and Critical Care Nursing, 46(2), 64–69. https://doi.org/10.1016/j.iccn.2018.01.004
  • United Nations. (2020). Policy brief: EducationduringCOVID-19and beyond. https://www.un.org/development/desa/dspd/wp-content/uploads/sites/22/2020/08/sg_policy_brief_covid-19_and_education_august_2020.pdf
  • Wei, H. C., & Chou, C. (2019). Relationships among college learners’ online learning perceptions, behaviors, and achievements via the self-determination theory approach. Paper presentation. 2019 AERA Annual Meeting, Toronto, Canada. Taylor and Francis.
  • Wei, H.-C., & Chou, C. (2020). Online learning performance and satisfaction: Do perceptions and readiness matter? Distance Education, 41(1), 48–69. https://doi.org/10.1080/01587919.2020.1724768
  • Wooldridge, J. M. (2016). Introductory econometrics: A modern approach. Nelson Education.
  • Yu, Z. (2021). The effects of gender, educational level, and personality on online learning outcomes during the COVID-19 pandemic. International Journal of Educational Technology in Higher Education, 18(1), 1–17. https://doi.org/10.1186/s41239-021-00252-3