CHALLENGES DURING THE PANDEMIC: USE OF E-LEARNING IN MATHEMATICS LEARNING IN HIGHER EDUCATION

Muhammad Irfan
Betty Kusumaningrum
Yuyun Yulia
Sri Adi Widodo

Abstract


On March 16, 2020, many universities in Indonesia began implementing online-based learning to replace lectures in the classroom. This is done as a way to reduce the transmission of the Covid-19 outbreak in Indonesia. There is an opinion that with the implementation of online learning, especially in mathematics education study programs, there are many obstacles when learning takes place. This study aims to determine the obstacles that arise after the implementation of online learning in mathematics learning in Higher Education. This research is a qualitative case study, assisted by an online survey. The researcher collected data through an online survey consisting of 27 questions. The survey is aimed at lecturers who teach in Mathematics Education study programs in Indonesia. The survey contains structured questions and leads to three parts, namely; basic skills challenges, teaching and learning challenges, and university challenges. The 27 questions contained questions about the ability of platform mastery to support online learning owned by each lecturer. The research involved 26 lecturers from universities in Sumatra, Java, Kalimantan, and Sulawesi. The results of this study reveal that all lecturers affected by the pandemic use a Learning Management System (LMS) based website as a means of online learning. The learning management system-based platform is the most widely used (google class and Edmodo) while video conferencing is the second choice (Zoom and Skype). What is interesting is that the LMS available on campus is less attractive to lecturers. However, there are obstacles faced such as the limitations of writing mathematical symbols and the limited basic capabilities of the learning management system and multimedia software to support online learning.

Keywords


Pandemic; Covid-19; Online Learning; Mathematics Learning

Full Text:

PDF

References


Adnan, M., & Boz, B. (2015). Faculty Members’ Perspectives on Teaching Mathematics Online: Does Prior Online Learning Experience Count? Turkish Online Journal of Qualitative Inquiry, 6(1), 21–38. https://doi.org/10.17569/tojqi.60223

Al-Rahmi, W. M., Othman, M. S., & Yusuf, L. M. (2015). The effectiveness of using e-learning in Malaysian higher education: A case study universiti Teknologi Malaysia. Mediterranean Journal of Social Sciences, 6(5). https://doi.org/10.5901/mjss.2015.v6n5s

Albelbisi, N. A., & Yusop, F. D. (2018). Secondary School Students’ Use of and Attitudes toward Online Mathematics Homework. Tojet - The Turkish Online Journal of Educational Technology, 17(1), 144–153.

Ali, G. E., & Magalhaes, R. (2008). Barriers to implementing e-learning: A Kuwaiti case study. International Journal of Training and Development. https://doi.org/10.1111/j.1468-2419.2007.00294.x

Ali, S., Uppal, M. A., & Gulliver, S. R. (2018). A conceptual framework highlighting e-learning implementation barriers. In Information Technology and People. https://doi.org/10.1108/ITP-10-2016-0246

Arkorful, V., & Abaidoo, N. (2015). The role of e-learning, advantages and disadvantages of its adoption in higher education. International Journal of Instructional Technology and Distance Learning, 12(1), 29-42.

Ash, J. S., Stavri, P. Z., & Kuperman, G. J. (2003). A consensus statement on considerations for a successful CPOE implementation. Journal of the American Medical Informatics Association, 10(3), 229–234. https://doi.org/10.1197/jamia.M1204

Assareh, A., & Bidokht, M. H. (2011). Barriers to E-teaching and E-learning. Procedia Computer Science. 3, 791-795. https://doi.org/10.1016/j.procs.2010.12.129

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), 1–9. https://doi.org/10.29333/pr/7937

Bauerlein, M. (2008). Online literacy is a lesser kind: Slow reading counterbalances Web skimming. The Chronicle of Higher Education, 55(4).

Beetham, H., & Sharpe, R. (2007). Rethinking pedagogy for a digital age: Designing and delivering e-learning. In Rethinking Pedagogy for a Digital Age: Designing and Delivering E-Learning. https://doi.org/10.4324/9780203961681

Bourne, J., Harris, D., & Mayadas, F. (2005). Online Engineering Education: Learning Anywhere, Anytime. Journal of Engineering Education, 94(1), 131–146. https://doi.org/10.1002/j.2168-9830.2005.tb00834.x

Childs, S., Blenkinsopp, E., Hall, A., & Walton, G. (2005). Effective e-learning for health professionals and students--barriers and their solutions. A systematic review of the literature--findings from the HeXL project. In Health information and libraries journal. https://doi.org/10.1111/j.1470-3327.2005.00614.x

Creswell, J. W. (2012a). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. In Educational Research, 4. https://doi.org/10.1017/CBO9781107415324.004

Creswell, J. W. (2012b). Research Design Qualitative,Quantitative,and Mixed Second Edition.

Davies, R., Coole, T., & Smith, A. (2017). Review of Socio-technical Considerations to Ensure Successful Implementation of Industry 4.0. Procedia Manufacturing, 1288–1295. https://doi.org/10.1016/j.promfg.2017.07.256

Donnelly, R., & McSweeney, F. (2008). Applied e-learning and e-teaching in higher education. In Applied E-Learning and E-Teaching in Higher Education. https://doi.org/10.4018/978-1-59904-814-7

Eady, M. J., & Lockyer, L. (2013). Tools For Learning: Technology and Teaching Strategies. Queensland University of Technology.

Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to Design and Evaluate Research in Education. McGraw-Hill Companies.

Frid, S. (2002). Engaging primary students in working mathematically within a virtual enrichment program. Mathematics Education Research Journal, 14(1), 60–79. https://doi.org/10.1007/BF03217116

Govindasamy, T. (2001). Successful implementation of e-Learning. The Internet and Higher Education, 4(3–4), 287–299. https://doi.org/10.1016/S1096-7516(01)00071-9

Gunawan, G., Suranti, N. M. Y., & Fathoroni, F. (2020). Variations of Models and Learning Platforms for Prospective Teachers During the COVID-19 Pandemic Period. Indonesian Journal of Teacher Education, 1(2), 61–70.

Hung, M. L., & Chou, C. (2015). Students’ perceptions of instructors’ roles in blended and online learning environments: A comparative study. Computers and Education, 81, 315–325. https://doi.org/10.1016/j.compedu.2014.10.022

Irfan, M. (2015). Pemanfaatan Gadget Dalam Pembelajaran Matematika serta Pengaruhnya Pada Mahasiswa yang Mengalami Math-Anxiety Di Universitas Sarjanawiyata Tamansiswa pada Mata Kuliah Persamaan Differensial. SCIENCE TECH: Jurnal Ilmiah Ilmu Pengetahuan Dan Teknologi, 1(1), 68-76.

Kabilan, M. K., & Khan, M. A. (2012). Assessing pre-service English language teachers’ learning using e-portfolios: Benefits, challenges and competencies gained. Computers and Education. https://doi.org/10.1016/j.compedu.2011.11.011

Karasavvidis, I. (2010). Wiki uses in higher education: Exploring barriers to successful implementation. Interactive Learning Environments. https://doi.org/10.1080/10494820.2010.500514

Kemenkes RI. (2020). Pedoman Pencegahan dan Pengendalian Coronavirus Disease (COVID-19). In Direktorat Jenderal Pencegahan dan Pengendalian Penyatkit.

Kim, K.-J., & Bonk, C. (2006). The Future of Online Teaching and Learning in Higher Education: The Survey Says... EDUCAUSE Quarterly, 29(4), 22–30.

Kim, S., Seo, Y. Bin, & Jung, E. (2020). Prediction of COVID-19 transmission dynamics using a mathematical model considering behavior changes. Epidemiology and Health, 42. https://doi.org/10.4178/epih.e2020026

Kurt, S. çırak. (2017). A blended learning experience. Elementary Education Online. https://doi.org/10.17051/ilkonline.2017.304740

Laprairie, K. N., & Hinson, J. M. (2006). When Disaster Strikes, Move Your School Online. Journal of Educational Technology Systems, 35(2), 209–214. https://doi.org/10.2190/d154-xk20-7264-5013

Lin, Y. W., Tseng, C. L., & Chiang, P. J. (2017). The effect of blended learning in mathematics course. Eurasia Journal of Mathematics, Science and Technology Education, 13(3), 741–770. https://doi.org/10.12973/eurasia.2017.00641a

Mailizar, 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 Journal of Mathematics, Science and Technology Education, 16(7), 1–9. https://doi.org/10.29333/ejmste/8240

Means, B. (2010). Technology and education change: Focus on student learning. Journal of Research on Technology in Education. https://doi.org/10.1080/15391523.2010.10782552

Mulenga, E. M., & Marbán, J. M. (2020). is-covid-19-the-gateway-for-digital-learning-in-mathematics-education. Contemporary Educational Technology, 12(2), ep269. https://doi.org/10.30935/cedtech/7949

Nakamura, Y., Yoshitomi, K., & Kawazoe, M. (2018). Distance Learning, E-Learning and Blended Learning in Mathematics Education. In Distance Learning, E-Learning and Blended Learning in Mathematics Education. https://doi.org/10.1007/978-3-319-90790-1

Ndaïrou, F., Area, I., Nieto, J. J., & Torres, D. F. M. (2020). Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan. In Chaos, Solitons and Fractals. https://doi.org/10.1016/j.chaos.2020.109846

Nuraini, N., Khairudin, K., & Apri, M. (2020). Modeling Simulation of COVID-19 in Indonesia based on Early Endemic Data. Indonesian Biomathematical Society, 3(1), 1–8. https://doi.org/10.5614/cbms.2020.3.1.1

Özyurt, Ö., Özyurt, H., Baki, A., & Güven, B. (2013). Integration into mathematics classrooms of an adaptive and intelligent individualized e-learning environment: Implementation and evaluation of UZWEBMAT. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2012.11.013

Peirlinck, M., Linka, K., Sahli Costabal, F., & Kuhl, E. (2020). Outbreak dynamics of COVID-19 in China and the United States. In Biomechanics and modeling in mechanobiology. https://doi.org/10.1007/s10237-020-01332-5

Pundak, D., Herscovitz, O., & Shacham, M. (2010). Attitudes of face-to-face and e-learning instructors toward ’ active learning. European Journal of Open, Distance and E-Learning, 13(2).

Rahimi, F., & Abadi, A. T. B. (2020). Practical Strategies Against the Novel Coronavirus and COVID-19—the Imminent Global Threat. In Archives of Medical Research. https://doi.org/10.1016/j.arcmed.2020.03.005

Resmawan, R., & Yahya, L. (2020). Sensitivity Analysis of Mathematical Model of Coronavirus Disease (COVID-19) Transmission. Cauchy, 6(2), 91–99. https://doi.org/10.18860/ca.v6i2.9165

Setiawan, A. R. (2020). Scientific Literacy Worksheets for Distance Learning in the Topic of Coronavirus 2019. Reading Academic Article. https://doi.org/10.1016/j.solener.2019.02.027

Setiawan, A. R., & Ilmiyah, S. (2020). Students’ Worksheet for Distance Learning Based on Scientific Literacy in the Topic Coronavirus Disease 2019 (COVID-19). EdArXiv. https://doi.org/10.35542/osf.io/h4632

Smart, K. L., & Cappel, J. J. (2006). Students’ Perceptions of Online Learning: A Comparative Study. Journal of Information Technology Education: Research, 5(1), 201–219. https://doi.org/10.28945/243

Soewono, E. (2020). On the analysis of Covid-19 transmission in Wuhan , Diamond Princess and Jakarta-cluster. Indonesian Biomathematical Society, 3(1), 9–18. https://doi.org/10.5614/cbms.2020.3.1.2

Sözgün, Z., Altinay, Z., Berigel, M., Karal, H., & Altinay, F. (2018). A practice of e-learning platform in fostering professional development. Quality and Quantity, 52(1), 79–92. https://doi.org/10.1007/s11135-017-0589-1

Sulisworo, D., Rohmadheny, P. S., Fatimah, N., & Arif, D. B. (2020). Learning analytics to predict student achievement in online learning during Covid- 19 mitigation. International Journal of Psychosocial Rehabilitation, 24(10), 1844–1861.

Taha, M. H., Abdalla, M. E., Wadi, M., & Khalafalla, H. (2020). Curriculum delivery in Medical Education during an emergency: A guide based on the responses to the COVID-19 pandemic. MedEdPublish, 9. https://doi.org/10.15694/mep.2020.000069.1

Tang, S. Y., Xiao, Y. N., Peng, Z. H., & Shen, H. B. (2020). Prediction modeling with data fusion and prevention strategy analysis for the COVID-19 outbreak. Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi, 41(4), 480–484. https://doi.org/10.3760/cma.j.cn112338-20200216-00107

Tosepu, R., Gunawan, J., Effendy, D. S., Ahmad, L. O. A. I., Lestari, H., Bahar, H., & Asfian, P. (2020). Correlation between weather and Covid-19 pandemic in Jakarta, Indonesia. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2020.138436

Trelease, R. B. (2015). Essential E-Learning and M-Learning Methods for Teaching Anatomy. In Teaching Anatomy. 247-258. https://doi.org/10.1007/978-3-319-08930-0_28

Van Bruggen, J. (2005). Theory and practice of online learning. British Journal of Educational Technology, 36(1), 111–112. https://doi.org/10.1111/j.1467-8535.2005.00445_1.x

Vrugt, A., & Oort, F. J. (2008). Metacognition, achievement goals, study strategies and academic achievement: Pathways to achievement. Metacognition and Learning, 3(2), 123–146. https://doi.org/10.1007/s11409-008-9022-4

Zaharah, Z., & Kirilova, G. I. (2020). Impact of Corona Virus Outbreak Towards Teaching and Learning Activities in Indonesia. SALAM: Jurnal Sosial Dan Budaya Syar-I, 7(3), 269–282. https://doi.org/10.15408/sjsbs.v7i3.15104




DOI: https://doi.org/10.22460/infinity.v9i2.p147-158

Article Metrics

Abstract view : 881 times
PDF - 244 times

Refbacks

  • There are currently no refbacks.




Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.