Exploring Factors Influencing Student's Learning Difficulties During Pandemic in Indonesia: A Structural Equation Modelling
Ocih Setiasih , Nandi , Rusman , Wawan Setiawardani , Eri Yusron
The pandemic era has caused changes in the learning system. The situation demanded online learning and triggered students to have learning difficultie.
- Pub. date: January 15, 2023
- Pages: 1-14
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The pandemic era has caused changes in the learning system. The situation demanded online learning and triggered students to have learning difficulties. The research aims to examine the impact of social media, social environment, and student learning potential on student learning difficulties. This study utilizes a quantitative approach. The respondents were university students experiencing online learning in West Java, Indonesia. A questionnaire validated by four experts was distributed to 539 of them. Accommodating structural equation modeling (SEM) by evaluating the measurement and structural models was used in data analysis. This study revealed that the instrument had good construct validity and reliability. A good instrument will produce a good measurement process so that the instrument can get the data needed. Hypothesis testing shows that high media activity can inhibit students from learning. However, social media activity directly influences learning difficulties. Meanwhile, the variables of learning potential and social environment positively influence student learning difficulties directly or indirectly. There are a few things to note on learning potential, social environment, and social media to delve into their influences on students' learning difficulties.
learning difficulty learning potential social environment social media activity structural equation modeling
Keywords: Learning difficulty, learning potential, social environment, social media activity, structural equation modeling.
References
Abdulaziz Al Fadda, H. (2020). Determining how social media affects learning English: An investigation of mobile applications Instagram and Snapchat in TESOL classroom. Arab World English Journal, 11(1), 3–11. https://doi.org/10.24093/AWEJ/VOL11NO1.1
Aiken, L. R. (1980). Content validity and reliability of single items or questionnaires. Educational and Psychological Measurement, 40(4), 955–959. https://doi.org/10.1177/001316448004000419
Al-Baadani, A. A., & Abbas, M. (2020). The impact of coronavirus (Covid19) pandemic on higher education institutions (HEIS) in Yemen: Challenges and recommendations for the future. European Journal of Education Studies, 7(7), 68–82. https://doi.org/10.46827/ejes.v7i7.3152
Al-Rahmi, W. M., Alias, N., Othman, M. S., Marin, V. I., & Tur, G. (2018). A model of factors affecting learning performance through the use of social media in Malaysian higher education. Computers & Education, 121, 59–72. https://doi.org/10.1016/J.COMPEDU.2018.02.010
Aldiyah, E. (2021). Perubahan gaya belajar di masa pandemi Covid-19 [Changes in learning styles during the Covid-19 pandemic]. CENDEKIA: Jurnal Ilmu Pengetahuan, 1(1), 8–16. https://doi.org/10.51878/cendekia.v1i1.24
Allodi, M. W. (2002). Children's experiences of school: Narratives of Swedish children with and without learning difficulties. Scandinavian Journal of Educational Research, 46(2), 181–205. https://doi.org/10.1080/00313830220142191
Annur, M. F., & Hermansyah. (2020). Analisis kesulitan mahasiswa pendidikan matematika dalam pembelajaran daring pada masa pandemi Covid-19 [Analysis of the difficulties of mathematics education students in online learning during the Covid-19 pandemic]. Jurnal Kajian, Penelitian Dan Pengembangan Kependidikan, 11, 195–201. https://cutt.ly/tNJP0WH
Ansari, J. A. N., & Khan, N. A. (2020). Exploring the role of social media in collaborative learning, the new domain of learning. Smart Learning Environments, 7(1), Article 9. https://doi.org/10.1186/s40561-020-00118-7
Apriyanto, A., Setiawardani, W., & Yusron, E. (2021). Critical pedagogy: The role of student digital literacy in understanding critical pedagogy. PrimaryEdu: Journal of Primary Education, 5(2), 223-235. https://bit.ly/3MscXiR
Asosiasi Penyelenggara Jasa Internet Indonesia. (2020). Laporan survei internet APJII 2019 – 2020 [APJII Internet Survey Report 2019 – 2020]. https://cutt.ly/dNJP6vP
Atara Isra, R., Mufid, F., Hamka, J., Tawar Padang, A., & Barat, S. (2022). Meta-analysis of the effect of learning style on student learning outcomes. Konstan - Jurnal Fisika Dan Pendidikan Fisika, 7(1), 1–6. https://doi.org/10.20414/KONSTAN.V7I01.87
Basilaia, G., & Kvavadze, D. (2020). Transition to online education in schools during a SARS-CoV-2 Coronavirus (COVID-19) pandemic in Georgia. Pedagogical Research, 5(4), Article em0060. https://doi.org/10.29333/pr/7937
Batez, M. (2021). ICT skills of university students from the faculty of sport and physical education during the COVID-19 pandemic. Sustainability, 13(4), Article 1711. https://doi.org/10.3390/su13041711
Capinding, A. T. (2022). Impact of modular distance learning on high school students mathematics motivation, interest/attitude, anxiety and achievement during the COVID-19 pandemic. European Journal of Educational Research, 11(2), 917-943. https://doi.org/10.12973/eu-jer.11.2.917
Castro, O. (2014). Social media as learning tool in higher education: The case of Mexico and south Korea. Sinéctica Revista Electrónica de Educación, 44, 1–15. https://bit.ly/3g3XgCy
Coman, C., Țîru, L. G., Meseșan-Schmitz, L., Stanciu, C., & Bularca, M. C. (2020). Online teaching and learning in higher education during the coronavirus pandemic: Students' perspective. Sustainability, 12(24), 1–22. https://doi.org/10.3390/su122410367
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
Daly, A. J., García, M. D. F., & Bjorklund, P. (2020). Social media in a new era: Pandemic, pitfalls, and possibilities. American Journal of Education, 127(1), 143–151. https://doi.org/10.1086/711018
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.1177/002224378101800313
Gikas, J., & Grant, M. M. (2013). Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media. Internet and Higher Education, 19, 18–26. https://doi.org/10.1016/j.iheduc.2013.06.002
Gnawali, Y. P., Upadhayaya, P. R., Sharma, B., & Belbase, S. (2022). Access, efficiency, inconvenience, and scarcity as issues of online and distance learning in higher education. European Journal of Educational Research, 11(2), 1115–1131. https://doi.org/10.12973/eu-jer.11.2.1115
González-Padilla, D. A., & Tortolero-Blanco, L. (2020). Social media influence in the COVID-19 pandemic. International Brazillian Journal Urology, 46(Suppl 1), 120–124. https://doi.org/10.1590/S1677-5538.IBJU.2020.S121
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2012). Partial least squares: The better approach to structural equation modeling? Long Range Planning, 45(5–6), 312–319. https://doi.org/10.1016/j.lrp.2012.09.011
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
Hoerniasih, N., & Nuraini, C. (2020). Digital literacy in compensating children's learning difficulties. In G. Ganefir (Eds.), 1st International Conference on Lifelong Learning and Education for Sustainability (ICLLES 2019) (pp. 115-118). Atlantis Press. https://doi.org/10.2991/ASSEHR.K.200217.024
Junco, R., Heiberger, G., & Loken, E. (2011). The effect of Twitter on college student engagement and grades. Journal of Computer Assisted Learning, 27(2), 119–132. https://doi.org/10.1111/j.1365-2729.2010.00387.x
Khasawneh, M. A. S. (2021). Teacher perspective on language competencies relation to learning difficulties in English learning. Journal Educational Verkenning 2(1), 29-37. https://cutt.ly/aNJAsVK
Kligler-Vilenchik, N., Stoltenberg, D., de Vries Kedem, M., Gur-Ze’ev, H., Waldherr, A., & Pfetsch, B. (2020). Tweeting in the time of Coronavirus: How social media use and academic research evolve during times of global uncertainty. Social media + Society, 6(3). https://doi.org/10.1177/2056305120948258
Kormos, J. (2020). Specific learning difficulties in second language learning and teaching. Language Teaching, 53(2), 129–143. https://doi.org/10.1017/S0261444819000442
Levine, D. T., Morton, J., & O'Reilly, M. (2020). Child safety, protection, and safeguarding in the time of COVID-19 in Great Britain: Proposing a conceptual framework. Child Abuse and Neglect, 110(2), 104668. https://doi.org/10.1016/j.chiabu.2020.104668
Liang, F., & Li, P. (2019). Characteristics of cognitive in children with learning difficulties. Translational Neuroscience, 10(1), 141–146. https://doi.org/10.1515/tnsci-2019-0024
Lodge, J. M., Kennedy, G., Lockyer, L., Arguel, A., & Pachman, M. (2018). Understanding difficulties and resulting confusion in learning: An integrative review. Frontiers in Education, 3, Article 49. https://doi.org/10.3389/feduc.2018.00049
Majola, M. X., & Mudau, P. K. (2022). lecturers’ experiences of administering online examinations at a South African open distance e-learning university during the COVID-19 pandemic. International Journal of Educational Methodology, 8(2), 275-283. https://doi.org/10.12973/ijem.8.2.275
Mishra, L., Gupta, T., & Shree, A. (2020). Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open, 1, Article 100012. https://doi.org/10.1016/j.ijedro.2020.100012
Mudrak, J., Zabrodska, K., & Machovcova, K. (2020). Psychological constructions of learning potential and a systemic approach to the development of excellence. High Ability Studies, 31(2), 181–212. https://doi.org/10.1080/13598139.2019.1607722
Naciri, A., Baba, M. A., Achbani, A., & Kharbach, A. (2020). Mobile learning in higher education: Unavoidable alternative during COVID-19. Aquademia, 4(1), Article ep20016. https://doi.org/10.29333/aquademia/8227
Neuwirth, L. S., Jović, S., & Mukherji, B. R. (2020). Reimagining higher education during and post-COVID-19: Challenges and opportunities. Journal of Adult and Continuing Education, 27(2), 141–156. https://doi.org/10.1177/1477971420947738
Niemi, R. G., Carmines, E. G., & McIver, J. P. (1986). The impact of scale length on reliability and validity. Quality and Quantity, 20(4), 371–376. https://doi.org/10.1007/BF00123086
Nunnally, J. C. (1978). An overview of psychological measurement. In B. B. Wolman (Ed.), Clinical diagnosis of mental disorders (pp.97-146). Springer. https://doi.org/10.1007/978-1-4684-2490-4_4
Nupiah, A., McCulley, W., & He, T. (2022). The implication of students' psychological aspects on learning difficulties experienced by students in learning in school. Al-Hijr: Journal of Adulearn World, 1(3), 108–117. https://doi.org/10.55849/ALHIJR.V1I3.17
O'Keeffe, G. S., & Clarke-Pearson, K. (2011). The impact of social media on children, adolescents, and families. Pediatrics, 127(4), 800–804. https://doi.org/10.1542/peds.2011-0054
Osatuyi, B. J., & Passerini, K. (2016). Twittermania: Understanding how social media technologies impact engagement and academic performance of a new generation of learners. Communications of the Association for Information Systems, 39(1), Article 23. https://doi.org/10.17705/1CAIS.03923
Pertiwi, R. S., Khafid, M., & Setyadharma, A. (2019). Factors influencing difficulties of learning economics (Study in students of Kudus District High School). Journal of Economic Education, 8(1), 48–56. https://bit.ly/3Vrxngf
Pham, H. H., & Ho, T. T. H. (2020). Toward a 'new normal' with e-learning in Vietnamese higher education during the post COVID-19 pandemic. Higher Education Research and Development, 39(7), 1327–1331. https://doi.org/10.1080/07294360.2020.1823945
Pirouz, D. M. (2006). An overview of partial least squares. SSRN Electronic Journal, 10(6), 1–16. https://doi.org/10.2139/ssrn.1631359
Portillo, J., Garay, U., Tejada, E., & Bilbao, N. (2020). Self-perception of the digital competence of educators during the covid-19 pandemic: A cross-analysis of different educational stages. Sustainability, 12(23), Article 10128. https://doi.org/10.3390/su122310128
Pratama, G. P., & Pinayani, A. (2019). Effect of learning style on learning outcomes with mediator variable learning motivation. KnE Social Sciences, 3(11), 808–819. https://doi.org/10.18502/KSS.V3I11.4052
Ririen, D., & Hartika, D. (2021). Identifikasi kesulitan belajar mahasiswa pada mata kuliah statistika selama masa pandemi Covid-I9 [Identification of student learning difficulties in statistics courses during the Covid-I9 pandemic]. Jurnal Ilmiah Universitas Batanghari Jambi, 21(1), 148-155. https://doi.org/10.33087/jiubj.v21i1.1236
Sakib, N., Islam, M., Al Habib, M. S., Bhuiyan, A. K. M. I., Alam, Md. M., Tasneem, N., Hossain, M., Islam, S. M. S., Griffiths, M. D., & Mamun, M. A. (2021). Depression and suicidality among Bangladeshi students: Subject selection reasons and learning environment as potential risk factors. Perspectives in Psychiatric Care, 57(3), 1150–1162. https://doi.org/10.1111/ppc.12670
Salmi, J. (2020). COVID's lessons for global higher education: Coping with the present while building a more equitable future. Lumina Foundation. https://bit.ly/3rRpQJX
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial least squares structural equation modeling. Handbook of Market Research, 26(1), 1–47. https://doi.org/10.1007/978-3-319-05542-8_15-2
Seomun, G., & Noh, W. (2021). Differences in student brain activation from digital learning based on risk of digital media addiction. International Journal of Environmental Research and Public Health, 18(21), Article 11061. https://doi.org/10.3390/IJERPH182111061
Setiawaty, T., & Tjahjono, G. (2019). Students learning difficulties and saturation in achieving competency. In A. G. Abdullah, I. Kustiawan, I. Widiaty, A. Ana, & T. Aryanti (Eds.), 5th UPI International Conference on Technical and Vocational Education and Training (ICTVET 2018) (pp. 4-9). Atlantis Press. https://doi.org/10.2991/ICTVET-18.2019.2
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach's alpha. International Journal of Medical Education, 2, 53-55. https://doi.org/10.5116/IJME.4DFB.8DFD
Teo, T., Tsai, L. T., & Yang, C.-C. (2013). Applying structural equation modeling (SEM) in educational research: An introduction. In M. S. Khine (Ed.), Contemporary approaches to research in learning innovations (pp. 3-21). Sense Publishers. https://doi.org/10.1007/978-94-6209-332-4_1
Tufekci, Z., & Wilson, C. (2012). Social media and the decision to participate in political protest: Observations from tahrir square. Journal of Communication, 62(2), 363–379. https://doi.org/10.1111/j.1460-2466.2012.01629.x
Tunmer, W. E., & Hoover, W. A. (2019). The cognitive foundations of learning to read: A framework for preventing and remediating reading difficulties. Australian Journal of Learning Difficulties, 24(1), 75–93. https://doi.org/10.1080/19404158.2019.1614081
Tur, G., & Marín, V. I. (2014). Enhancing learning with the social media: Student teachers' perceptions on Twitter in a debate activity. Journal of New Approaches in Educational Research, 4(1), 46–43. https://doi.org/10.7821/naer.2015.1.102
Ulfa, Z. D., & Mikdar, U. Z. (2020). Dampak pandemi Covid-19 terhadap perilaku belajar, sosial dan kesehatan bagi mahasiswa FKIP Universitas Palangka Raya [The impact of the Covid-19 pandemic on learning, social and health behaviors for FKIP students of Palangka Raya University]. JOSSAE: Journal of Sport Science and Education, 5(2), 124-138. https://doi.org/10.26740/jossae.v5n2.p124-138
Wang, F., Shabash, M. & Sterghos, J. (2022). The impact of COVID-19 on students from a large online class. European Journal of Psychology and Educational Research, 5(2), 89-101. https://doi.org/10.12973/ejper.3.2.89
Wijaya, T. T., Cao, Y., Weinhandl, R., Yusron, E., & Lavicza, Z. (2022). Applying the UTAUT model to understand factors affecting micro-lecture usage by mathematics teachers in China. Mathematics, 10(7), Article 1008. https://doi.org/10.3390/math10071008
Wold, S., Martens, H., & Wold, H. (1983). The multivariate calibration problem in chemistry solved by the PLS method. In B. Kågström & A. Ruhe (Eds.), Matrix Pencils. Lecture notes in mathematics (Vol. 973, pp. 286-293). Springer. https://doi.org/10.1007/BFB0062108
Xiao, Y., & Yang, M. (2019). Formative assessment and self-regulated learning: How formative assessment supports students' self-regulation in English language learning. System, 81, 39–49. https://doi.org/10.1016/j.system.2019.01.004
Yang, R. (2020). China's higher education during the COVID-19 pandemic: Some preliminary observations. Higher Education Research and Development, 39(7), 1317–1321. https://doi.org/10.1080/07294360.2020.1824212
Yusron, E., & Sudiyatno, S. (2021). How is the impact of Assessment for Learning (AfL) on mathematics learning in elementary schools? Jurnal Prima Edukasia, 9(1), 75–84. https://doi.org/10.21831/jpe.v9i1.34865