Document Type : Original Article

Authors

1 MSc Student of Educational Management, Department of Educational Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khorramabad, Iran

2 Lorestan UniversityAssociate Professor, Knowledge and Information Sciences, Department of Educational Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khorramabad, Iran.

3 Associate Professor, Educational Managemnt, Department of Educational Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khorramabad, Iran

10.22118/edc.2023.386586.2261

Abstract

Purpose: The present study aimed to examine the impact of digital learning orientation on the academic performance of undergraduate students at Lorestan University, with readiness for change as a potential mediator.
Method: The research employed a descriptive-correlational approach utilizing structural equation modeling. The statistical population comprised all undergraduate students enrolled in the second semester of the academic year 1401-1400 at Lorestan University, totaling 4439 individuals. Through stratified sampling based on the Karjesi and Morgan table, 351 participants were selected as the sample. Data were collected using three questionnaires: Bullen, Morgan, and Qayyum's (2011) digital learning orientation questionnaire, Dortaj's (2004) academic performance questionnaire for Iranian students, and Dunham et al.'s (1989) readiness for change questionnaire. Data analysis involved SPSS software and structural equation modeling in AMOS.
Findings: The results revealed a significant positive effect of digital learning orientation on both academic performance and readiness for change among students. Additionally, readiness for change demonstrated a positive and significant influence on academic performance. Moreover, the mediating role of readiness for change indicated that digital learning orientation not only directly impacted students' academic performance (β=0.414) but also exerted an indirect effect through readiness for change (β=0.196).
Conclusion: The final model exhibited a good fit, as indicated by all fit indices falling within acceptable ranges. Thus, the model provides a satisfactory explanation of the relationships among the variables under study.
Keywords: Digital Learning Orientation, Academic Performance, Readiness For Change, Students, Lorestan University.
Extended abstract
 
Introduction: The Covid-19 pandemic marked the onset of the first global health crisis in the modern digital age, profoundly impacting the education sector. A notable consequence of this impact was the swift transition from conventional education to electronic learning, prompting the establishment of online learning platforms and distance education systems to facilitate educational endeavors. This abrupt and unanticipated shift posed various challenges to universities across all facets of the educational framework, including students, educators, teaching technologies, and the learning process itself. Consequently, it raised pertinent questions regarding students' academic performance, a key outcome of the university system. Many experts began to scrutinize students' preparedness to excel in an e-learning environment, with some asserting that success in distance learning hinges upon bolstering both digital and non-digital skills among students. Unlike traditional classroom settings, effective participation in e-learning and subsequent academic performance necessitate proficiency in computer literacy, adept human-computer interaction, digital learning orientation, motivation, flexibility, and readiness for change, among others. In light of these considerations, the present study aims to examine the impact of digital learning orientation and readiness for change on the academic performance of undergraduate students at Lorestan University, particularly those who underwent distance education during the Covid-19 era, while also exploring the potential mediating effects of these variables.
Methods: This research serves a practical purpose by contributing to knowledge development through an examination of the impact of digital learning orientation on students' academic performance, with readiness for change as a mediating factor. Methodologically, it employs a descriptive-correlational approach and a structural equation modeling design. The statistical population comprises 4439 undergraduate students enrolled in the second semester of the academic year 1401-1400 at Lorestan University, all of whom have experienced virtual education. Sample size determination followed the Karjesi and Morgan table, resulting in a sample of 351 students. Given the smaller subgroups within the population, a stratified random sampling method proportional to subgroup size was applied. The primary data collection instrument is a questionnaire, which includes digital learning orientation measurement items adapted from Bullen, Morgan & Qayyum (2011), academic performance metrics based on Dortaj (2004), and readiness for change indicators from Dunham et al. (1989). Cronbach's alpha test confirmed the reliability of all questionnaires, yielding coefficients of 0.88 for digital learning orientation, 0.77 for students' academic performance, and 0.91 for readiness for change. Data analysis involved statistical software, particularly SPSS and AMOS.
Findings: Analysis of respondents' demographic information revealed that 265 (75.5%) of them are women, while 86 (24.5%) are men. Among the respondents, 116 (30%) are from the Faculty of Literature and Human Sciences, 87 (24.8%) from the Faculty of Engineering, 66 (18.8%) from the Faculty of Basic Sciences, 51 (14.5%) from the Faculty of Agriculture and Natural Resources, 25 (7.1%) from the Faculty of Management and Economics, and 6 (1.7%) from the Faculty of Veterinary. Additionally, 8 (2.3%) respondents studied in 2016 or earlier, 58 (16.5%) in 2017, 70 (19.9%) in 2018, 99 (28.2%) in 1399, and 116 (33%) entered Lorestan University in 1400. Descriptive indices analysis of the main research variables indicated that the mean scores for digital learning orientation, academic performance, and readiness for change are 43.54, 152.60, and 43.11, respectively. Moreover, the standard deviation for digital learning orientation, academic performance, and readiness for change is 11, 20.18, and 15.22, respectively. Structural equation modeling results revealed that digital learning orientation significantly and positively affects both academic performance and readiness for change among students. Furthermore, readiness for change also positively influences students' academic performance. Additionally, mediation analysis indicated that digital learning orientation not only directly impacts academic performance (β=0.414) but also indirectly affects it through readiness for change (β=0.196).
Conclusion: The fit of the final research model demonstrated that all its fit indices fall within an acceptable range, indicating that the model is a good fit. Universities, as the cornerstone of higher education, play a crucial role in shaping the future of society by fostering knowledge production, fostering appropriate skills, and cultivating awareness. In today's era of information and knowledge production, higher education faces new conditions and requirements. Therefore, universities must be attuned to their evolving environment, meeting changing needs and expectations to effectively prepare students for future challenges and demands. The revision of higher education processes is paramount due to technology's significant impact and its growing influence on various elements of the education system. The inability of students to adapt to future changes and developments poses a fundamental challenge, potentially jeopardizing their future prospects in the labor market. As previously discussed, individuals and organizations must adapt and evolve alongside the advancements in knowledge and technology, fostering a readiness for change. In essence, being open to new methods and ideas is crucial for fostering innovation and adaptation. Ultimately, in today's fast-paced and information-rich environment, only individuals and organizations with high adaptability will thrive. Thus, adequately preparing students for change is an indispensable requirement for the success and sustainability of the higher education system, an aspect that often does not receive sufficient attention.
 

Highlights

Ashkan Jovzi(Google Scholar) (Pub Med)

 Ehsan Geraei (Google Scholar) (Pub Med)

Saeed Farahbaksh(Google Scholar) (Pub Med)

Keywords

Abesha, A. G. (2012). Effects of parenting styles, academic self-efficacy, and achievement motivation on the academic achievement of university students in Ethiopia. A dissertation submitted in fulfillment of the requirements for the award of Doctor of Philosophy, School of Psychology and Social Science. Avaliable at: https://ro.ecu.edu.au/cgi/viewcontent.cgi?article=1461&context=theses. (Accessed: 23 September 2022).
Aboobaker N. & Zakkariya K. A. (2019). Influence of digital learning orientation and readiness for change on innovative work behaviour: reflections from the higher education sector. Development Learning in Organizations: An International Journal, Vol. 34, No. 2, Pp. 25-28. DOI: https://doi.org/10.1108/DLO-08-2019-0191.
Aboobaker N. & Zakkariya K.A. (2021). Digital learning orientation and innovative behavior in the higher education sector: effects of organizational learning culture and readiness for change. International Journal of Educational Management, Vol. 35, No. 5, Pp. 1030-1047. DOI: https://doi.org/10.1108/IJEM-09-2019-0345.
Alizadeh N. & Rezaei M. (2020). The mediating role of individual learning in the relationship between e-learning and academic achievement. Cultural Management, Vol. 12, No. 46, Pp. 97-114. Avaliable at: https://jcm.srbiau.ac.ir/article_16040_99a5d2b4c54a660fa4c5281f504b8cb4.pdf?lang=en. (Accessed: 23 September 2022). [In Persian].
Almanthari A., Maulina S. & Bruce S. (2020). Secondary school mathematics teachers’ views on e-learning implementation barriers during the covid-19 pandemic: the case of Indonesia. Eurasia J. Math. Sci. Technol. Educ. Vol. 16, No. 7, Pp. 18–60. DOI: https://doi.org/10.29333/ejmste/8240.
Basri W.S., Alandejani J. A. & Almadani F. M. (2018). ICT adoption impact on students’ academic performance: evidence from Saudi universities. Education Research International, 1-9. DOI: https://doi.org/10.1155/2018/1240197.
Bayerlein L. & Jeske D. (2018). The potential of computer-mediated internships for higher education. International Journal of Educational Management, Vol. 32, No. 4, Pp. 526-537. DOI: https://doi.org/10.1108/IJEM-11-2016-0254.
Bullen M., Morgan T. & Qayyum A. (2011). Digital learners in higher education: generation is not the issue. Canadian Journal of Learning Technology, Vol. 37, No. 1, Pp. 1-24. DOI: https://doi.org/10.21432/T2NC7B.
Cardarello R. (2018). Literacy, reading and writing in the Italian school system. Pedagogia Oggi, Vol. 2, No. 1, Pp. 303-316. Avaliable at: https://ojs.pensamultimedia.it/index.php/siped/article/view/3014/2637. (Accessed: 23 September 2022).
Chang S., Way S. A. & Cheng D. H. (2018). The elicitation of frontline, customer-contact, hotel employee innovative behavior: illuminating the central roles of readiness for change and absorptive capacity. Cornell Hospitality Quarterly, Vol. 59, No. 3, Pp. 228-238. DOI: https://doi.org/10.1177/1938965517734940.
Chen P. (2011). From CMS to SNS: Educational networking for urban teachers. Journal of Urban Learning, Teaching and Research, Vol. 7, Pp. 50-61. Avaliable at: https://files.eric.ed.gov/fulltext/EJ952059.pdf. (Accessed: 23 September 2022).
Clark D. B., Tanner-Smith E. E. & Killingsworth S. S. (2016). Digital games, design, and learning: a systematic review and meta-analysis. Review of Educational Research, Vol. 86, No. 1, Pp.79-122. DOI: https://doi.org/10.3102/0034654315582065.
Costanza F. (2022). Covid-related educational policies in action: a system dynamics view. International Journal of Public Sector Management, Vol. 35, No. 4, Pp. 480-512. DOI: https://doi.org/10.1108/IJPSM-07-2021-0187.
Cuadrado-García M., Ruiz-Molina M. & Montoro-Pons J. D. (2010). Are there gender differences in e-learning use and assessment? Evidence from an interuniversity online project in Europe. Procedia - Social and Behavioral Sciences, Vol. 2, No. 2, Pp. 367-371.DOI: https://doi.org/10.1016/j.sbspro.2010.03.027
Dhawan S. (2020). Online learning: a panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, Vol. 49, No. 1, Pp. 5-22. DOI: https://doi.org/10.1177/0047239520934018.
El Refae G. G. A., Kaba A. & Eletter S. (2021). The impact of demographic characteristics on academic performance: face-to-face learning versus distance learning implemented to prevent the spread of COVID-19. The International Review of Research in Open and Distributed Learning, Vol. 22, No. 1, Pp. 91-110. DOI: https://doi.org/10.19173/irrodl.v22i1.5031.
Erhel S. & Jamet E. (2013). Digital game-based learning: impact of instructions and feedback on motivation and learning effectiveness. Computers and Education, Vol. 67, Pp.156-167. DOI: https://doi.org/10.1016/j.compedu.2013.02.019.
Garad A., Al-Ansi A. M. & Qamari I. N. (2021). The role of e-learning infrastructure and cognitive competence in distance learning effectiveness during the covid-19 pandemic. Jurnal Cakrawala Pendidikan, Vol. 40, No. 1, Pp. 81–91. DOI: https://doi.org/10.21831/cp.v40i1.33474.
Gupta A. & Fisher D. (2012). Technology-supported learning environments in science classrooms in India. Learning Environments Research, Vol. 15, No. 2, Pp.195-216. DOI:https://doi.org/10.1007/s10984-012-9103-9.
Hart C. M. D., Berger D., Jacob B. et al. (2019). Online learning, offline outcomes: Online course taking and high school student performance. AERA Open. DOI: https://doi.org/10.1177/2332858419832852.
Hartnett M. (2016). The importance of motivation in online learning. In Motivation in online education. Singapore. Springer. DOI: https://doi.org/10.1007/978-981-10- 0700-2_2.
Hawk T. F. & Shah A. J. (2007). Using learning style instruments to enhance student learning. Decision Sciences Journal of Innovative Education, Vol. 5, No. 1, Pp. 1-19. DOI: https://doi.org/10.1111/j.1540-4609.2007.00125.x.
Henderson M., Selwyn N. & Aston R. (2017). What works and why? Student perceptions of ‘useful digital technology in university teaching and learning. Studies in Higher Education, Vol. 42, No. 8, Pp. 1567-1579. DOI: https://doi.org/10.1080/03075079.2015.1007946.
Jackson L. A., Zhao Y., Kolenic I. A., et al. (2008). Race, gender, and information technology use: the new digital divide. Cyber Psychology & Behavior, Vol. 11, No. 4, Pp. 437-442. DOI: https://doi.org/10.1089/cpb.2007.0157.
Jang D. H., Yi P. & Shin I. S. (2016). Examining the effectiveness of digital textbook use on students’ learning outcomes in South Korea: a meta-analysis. The Asia-Pacific Education Researcher, Vol. 25, No. 1, Pp. 57-68. DOI: https://doi.org/10.1007/s40299-015-0232-7.
Johan G. (2005). The role of environmental quality and time perspective on the academic performance of grade 12 learners. Available at: Za/ETDdb// Theses/available/etd-09142006085341/unrestricted/VanDerLindeGJ.Pdf. (Accessed: 23 September 2022).
Kampylis P., Punie Y., Devine J. (2015). Promoting effective digital-age learning - a European framework for digitally-competent educational organisations. Available at: http://publications.jrc.ec.europa.eu/repository/ bitstream/ JRC98209 /jrc98209_r_digcomporg_final.pdf. (Accessed: 23 September 2022).
Khan S. M., Khan I., Din S. et al. (2015). The Impacts of ICT on the Students’ Performance: A Review of Access to Information. Research on Humanities and Social Sciences, Vol. 5, No. 1, Pp. 85-94. Availablet at: https://www.researchgate.net/publication/313768677_The_impacts_of_ICT_on_the_students'_Performance_A_Review_of_Access_to_Information. (Accessed: 23 September 2022).
Khin S. & Ho T. C. (2019). Digital technology, digital capability and organizational performance. International Journal of Innovation Science, Vol. 11, No. 2, Pp. 177-195. DOI: https://doi.org/10.1108/IJIS-08-2018-0083.
Lai K. W. & Hong K. S. (2015). Technology use and learning characteristics of students in higher education: do generational differences exist? British Journal of Educational Technology, Vol. 46, No. 4, Pp. 725-738. DOI: https://doi.org/10.1111/bjet.12161.
Levy Y. (2006). Assessing the value of E-learning systems. USA: Infancy. DOI: https://doi.org/10.4018/978-1-59140-726-3
Lin M. H., Chen H. C. & Liu K. S. (2017). A study of the effects of digital learning on learning motivation and learning outcome. Eurasia Journal of Mathematics, Science and Technology Education, Vol. 13, No. 7, Pp. 3553-3564. DOI: https://doi.org/10.12973/eurasia.2017.00744a.
Littlejohn A. A., Beetham H. H. & McGill L. L. (2012). Learning at the Digital Frontier: A Review of Digital Literacies in Theory and Practice. Journal of Computer Assisted Learning, Vol. 28, No. 6, Pp. 547-556. DOI: https://doi.org/10.1111/j.1365-2729.2011.00474.x.
Lyman R. K. & Daloisio T. C. (2018). Looking to manage change successfully? It is dependent on alignment at every level. Development and Learning in Organizations: An International Journal, Vol. 32, No. 1, Pp. 4-7. DOI: https://doi.org/10.1108/DLO-09-2017-0072.
Mascheroni G., Saeed M., Valenza M. et al. (2021). Learning at a Distance Children’s remote learning experiences in Italy during the COVID-19 pandemic. Italy: UNICEF Office of Research. Avaliable at: https://www.unicef-irc.org/publications/pdf/learning-at-a-distance-childrens-remote-learning-experiences-in-italy-during-the-covid-19-pandemic.pdf. (Accessed: 23 September 2022).
Naemi Z. & Naemi, A. M. (2020). Effectiveness of Information and Communication Technology on the Learning engagement and Academic Performance in the Conversation of the Arabic Language Curriculum. Journal of Foreign Language Research, Vol. 10, No. 1, Pp. 216-232. DOI: 10.22059/JFLR.2019.289160.681. [In Persian].
Nikdel Teymori A. & Fardin M. A. (2020). COVID-19 and educational challenges: a review of the benefits of online education. Ann. Milit. Healt. Sci. Res, Vol. 18, No. 3, Pp. 19–22. DOI: https://doi.org/10.5812/amh.105778.
Nurtjahjanti H., Prasetyo A. R. & Ardhiani L. N. (2021). The role of resilience and readiness for change on students’ interest in learning: E-learning implementation during Covid-19. Cakrawala Pendidikan, Vol. 40, No. 3, Pp. 750-761. DOI: https://doi.org/10.21831/cp.v40i3.39080.
Nwosu J. C., John H. C., Izang A. A. et al. (2018). Assessment of information and communication technology (ICT) competence and literacy skills among undergraduates as a determinant factor of academic achievement. Educational Research and Reviews, Vol. 13, No. 15, Pp. 582-589. DOI: https://doi.org/10.5897/ERR2018.3539.
OECD (2018). Italia Nota Paese Risultati PISA 2018, Volumes I-III. Available at: https://www.oecd.org/pisa/publications/PISA2018_CN_ITA_IT.pdf. (Accessed: 23 September 2022).
OECD (2020). Supporting the continuation of teaching and learning during the COVID-19 pandemic. Available at: https://www.oecd.org/education/Supporting-the-continuation-of-teaching-andlearning-during-the-COVID-19-pandemic.pdf. (Accessed: 23 September 2022).
Palumbo R. & Manna R. (2019). Making educational organizations able to change: a literature review. International Journal of Educational Management, Vol. 33, No. 4, Pp. 734-752. DOI: https://doi.org/10.1108/IJEM-02-2018-0051.
Porshnev A. & Giest H. (2012). University Students’ Use of Information and Communication Technologies (ICT) in Russia: A Focus on Learning and Everyday Life. In Seminar. Net– International Journal of Media, Technology & Life ling learning, Vol. 8, No. 1, Pp. 27-53. DOI: https://doi.org/10.7577/seminar.2401.
Prasetyo A. R., Nurtjahjanti H. & Ardhiani L. N. (2021). Impact of Changes in Teaching Methods During the COVID-19 Pandemic: The Effect of Integrative E-Learning on Readiness for Change and Interest in Learning Among Indonesian University Students. International Review of Research in Open and Distributed Learning, Vol. 22, No. 2, Pp. 87-101. DOI: https://doi.org/10.19173/irrodl.v22i2.5143.
Rapanta C., Botturi L., Goodyear P., et al. (2020). Online university teaching during and after the Covid-19 crisis: refocusing teacher presence and learning activity. Post digital Science and Education, Vol. 2, No. 3, Pp. 923–945. DOI: https://doi.org/10.1007/s42438-020-00155-y.
Rotas E. E., Cahapay M. B. (2020). Difficulties in remote learning: voices of philippine university students in the wake of COVID-19 crisis. Asian J. Distance Edu, Vol. 15, No. 2, Pp. 147–158. Available at: https://files.eric.ed.gov/fulltext/EJ1285295.pdf. (Accessed: 23 September 2022).
Rusly F. H., Corner J. L., & Sun P. (2012). Positioning change readiness in knowledge management research. Journal of Knowledge Management, Vol. 16, No. 2, Pp. 329–355. DOI: https://doi.org/10.1108/13673271211218906.
Salute C. (2015). Digital Orientation and the Efficacy of Game-Based Training Platforms on Engagement and Knowledge Retention. PhD. Thesis. Hofstra University. Available at: https://www.proquest.com/openview/dbb0e4ab4bdedf2053089ebcfca20ad9/1?pq-origsite=gscholar&cbl=18750. (Accessed: 23 September 2022).
Sun B., Mao H., & Yin C. (2020). Male and female users’ differences in online technology community based on text mining. Frontiers in Psychology, 11, 806. DOI: https://doi.org/10.3389/fpsyg.2020.00806.
Topf J. M. & Williams P. N. (2021). COVID-19, social media, and the role of the public physician. Blood Purif. Vol. 50, No. 4-5, Pp. 595–601. DOI: https://doi.org/10.1159/000512707.
Toquero C. M. (2020). Challenges and Opportunities for Higher Education amid the COVID-19 Pandemic: The Philippine Context, Pedagogical Research, Vol. 5, No. 4, Pp.1-5. DOI: https://doi.org/10.29333/pr/7947.
UNESCO (2020). School Closures Caused by Coronavirus (Covid-19). Unesco.Org, En. Available at: https://en.unesco.org/covid19/educationresponse. (Accessed: 23 September 2022).
Wang T., Olivier D. F. & Chen P. (2020). Creating individual and organizational readiness for change: Conceptualization of system readiness for change in school education. International Journal of Leadership in Education, Vol. 23, No. 1, Pp. 1–25. DOI: https://doi.org/10.1080/13603124.2020.1818131