Students’ Preference in Online Learning Environment and Academic Resilience in Relation to Their Academic Performance in Mathematics
Viewed = 0 time(s)
Abstract
Students' online learning environment and academic resilience are indicators of academic success in online learning. This study determined the level of perception in an online learning environment and academic resilience concerning students' performance in Mathematics among Junior High School students at Misamis University, Ozamis City, during the first quarter of the school year 2021-2022. The researchers used the descriptive-correlational research design. The respondents were 148 Junior High School students chosen by simple random sampling. The instruments used were the Students' Online Learning Environment Questionnaire (SOLEQ) and the Students' Academic Resilience Questionnaire (SARQ). Mean, standard deviation, Pearson r, and Stepwise Regression Analysis were the statistical tools used. Findings revealed that students had a high level of perception in their online learning environment and had high academic resilience in their online learning. They performed very satisfactorily in their online class. There was a significant relationship between the students' online learning environment in terms of computer usage, teacher support, and student autonomy and their academic performance in Mathematics. In the students' online learning environment, there was no significant relationship between the other variables and their academic achievement in Mathematics. Furthermore, there was a significant relationship between the students' academic resilience and their academic performance in Mathematics. Computer Usage predicted students' academic performance in Mathematics. Teachers need to be technologically proficient in using technology as an educational tool. School administrators conduct online seminars, trainings, and workshops regarding technical literacy. Future researchers must look into other factors contributing to the student's academic performance in online learning.
References
Açıkalın, M. (2018). Araştırmaya dayalı sosyal bilgiler öğretimi (2. Ed.). Yeni İnsan Yayınevi.
Aldholay, A., Abdullah, Z., Isaac, O., & Mutahar, A. M. (2020). Perspective of yemeni students on use of online learning. Information Technology & People, 33(1), 106-128. Retrieved on March 22, 2021 from https://www.ingentaconnect.com/content/mcb/161/2019/00000033/00000001/art00006
Anderson, E. A. (2021). Measurement in K–12 Online Learning Environments: Measurement of Student Engagement and Other Latent Constructs. In Research Anthology on Developing Effective Online Learning Courses (pp. 624-638). IGI Global.
Anwar, K.; Adnan, M. Online learning amid the COVID-19 pandemic: Students perspectives. J. Pedagog. Res. 2020, 1, 45–51. [CrossRef]
Amelia, R., Kadarisma, G., Fitriani, N., & Ahmadi, Y. (2020, October). The effect of online mathematics learning on junior high school mathematic resilience during covid-19 pandemic. In Journal of Physics: Conference Series (Vol. 1657, No. 1, p. 012011). IOP Publishing.
Asio, J. M. R., Gadia, E., Abarintos, E., Paguio, D., & Balce, M. (2021). Internet connection and learning device availability of college students: Basis for institutionalizing flexible learning in the new normal. Studies in Humanities and Education, 2(1), 56-69.
Barrot, J. S., Llenares, I. I., & del Rosario, S. (2021). Students’ online learning challenges during the pandemic and how they cope with them: The case of the philippines. Education and Information Technologies, 26(6), 7321-7338. doi:http://dx.doi.org/10.1007/s10639-021-10589-x
Bhagat K. K., Huang R. (2018). Improving learners‟ experiences through authentic learning in a technologyrich classroom. In T. W. Chang, R. Huang, Kinshuk (Eds.), Authentic Learning Through Advances in Technologies. Lecture Notes in Educational Technology (pp.3-15). Springer.
Cassidy, S. (2016). The Academic Resilience Scale (ARS-30): A new multidimensional construct measure. Frontiers in psychology, 7, 1787.
Cato, S., & Seepersad, R. (2016). Technological Interventions: Examination of Social Exchange as an Antecedent to Academic Achievement in Online Learning. In Handbook of Research on Learning Outcomes and Opportunities in the Digital Age (pp. 287-307). IGI Global.
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), 10367.
Cook, A. (2019). The Effect of Teacher Feedback on Student Achievement in Fifth Grade Mathematics.
Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of educational technology systems, 49(1), 5-22.
Ferri F, Grifoni P, Guzzo T. (2020). Online Learning and Emergency Remote Teaching: Opportunities and Challenges in Emergency Situations. Societies, 10(4):86. https://doi.org/10.3390/soc10040086
Gu, X., & Xu, H. (2019). Missing piece in understanding student learning: Out-of-school computer use. Journal of Educational Computing Research, 57(2), 320-342.
Hashemi, A. (2021). Effects of COVID-19 on the academic performance of Afghan students’ and their level of satisfaction with online teaching. Cogent Arts & Humanities, 8(1), 1933684.
Iman, S.A., &Firmansyah, D. (2019). Pengaruh kemampuan resiliensi matematis terhadap hasil belajar matematika Prosiding Sesiomadika 2.
Kumalasari, D., & Akmal, S. Z. (2022). Less stress, more satisfaction with online learning during the COVID-19 pandemic: The moderating role of academic resilience. Psychological Research on Urban Society, 4(1), 12.
Levine, R. J. (1988). Ethics and regulation of clinical research. Yale University Press.
Liu, R. D., Zhen, R., Ding, Y., Liu, Y., Wang, J., Jiang, R., & Xu, L. (2018). Teacher support and math engagement: roles of academic self-efficacy and positive emotions. Educational Psychology, 38(1), 3-16.
Luo, N., Zhang, M., & Qi, D. (2017). Effects of different interactions on students’ sense of community in e-learning environment. Computers & Education, 115, 153–160.
Manuel, A. K. (2021). Transformative eLearning Engagement Tools Used in Research Classes. In eLearning Engagement in a Transformative Social Learning Environment (pp. 279-294). IGI Global.
Makafane, D. T., & Chere-Masopha, J. (2021). COVID-19 crisis: Challenges of online learning in one university in Lesotho. African Perspectives of Research in Teaching and Learning, 5, 126-138. Retrieved from https://www.proquest.com/scholarly-journals/covid-19-crisis-challenges-online-learning-one/docview/2542473916/se-2?accountid=149218
Marinoni, G., Van’t Land, H., & Jensen, T. The Impact of COVID-19 on Higher Education around the World. International Association of Universities. Available online: https://www.iau-aiu.net/IMG/pdf/iau_covid19_ and_he_survey_report_final_may_2020.pdf (accessed on 14 August 2020). 6.
Miller, A., Ferguson, E., and Byrne, I. (2000). Pupils' causal attributions for difficult classroom behaviour. Br. J. Educ. Psychol. 70, 85–96. doi: 10.1348/000709900157985
Murillo-Zamorano, L. R., Sánchez, J. Á. L., & Godoy-Caballero, A. L. (2019). How the flipped classroom affects knowledge, skills, and engagement in higher education: Effects on students' satisfaction. Computers & Education, 141, 103608.
Northcote, M., Reynaud, D., Kilgour, P., Boddey, C., McLoughlin, C., Rickards, T., & Gosselin, K. P. (2016). Using Online Teaching Threshold Concepts in Transformative Professional Learning Curricula for Novice Online Educators.
Radhamani, K., &Kalaivani, D. (2019) Academic Resilience among Students: A Review of Literature. 267–281.
Rojas-Suárez, J.P., M, V. O., & Gallardo Pérez, ,H.J. (2020). Resilience in successful math and physics students. Journal of Physics: Conference Series, 1587(1) doi:http://dx.doi.org/10.1088/1742-6596/1587/1/012015.
Scheidemann, B., Gasteiger, H., & Puca, R. M. (2022). Effects of affiliation-, achievement-, and power-related topics in mathematical word problems on students’ performance, task-related values, and expectancies. Plos one, 17(6), e0270116.
Steinberg, W. J. (2011). Statistics alive! (2nd ed.). Thousand Oaks, CA: Sage.
Thurston, A., Duran, D., Cunningham, E., Blanch, S., & Topping, K. (2009). International on-line reciprocal peer tutoring to promote modern language development in primary schools. Computers & Education, 53, 462–472. https://doi.org/10.1016/j.compedu.2009.03.005
Wei, L., and Yingying, B. (2018). How do the perceived teacher support by second year
junior students affect their academic achievement?——analysis of multiple
mediating effects based on academic self-efficacy and learning engagement. Educ. Econ. 146, 86–92.
Williams, K., (2018).Types of Learning Environments: Accessed 2/10/2019 from ;https://study.com/academy/lesson/types-of-learning-nvironment.html#transcriptHeader
Yemen-Karpuzcu, S., Ulusoy, F., & Işıksal-Bostan, M. (2017). Prospective middle school mathematics teachers’ covariational reasoning for interpreting dynamic events during peer interactions. International Journal of Science and Mathematics Education, 15(1), 89-108.
Copyright (c) 2023 Genelyn Baluyos, Pinky Cabaluna, Joyce Paragat
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.