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Sep 10, 2024
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Abstract

In the current digital era, the implementation of blended online learning faces challenges in understanding students' perceptions and its impact on learning outcomes, particularly in Abstract Algebra. This issue is crucial to investigate, as the shift in teaching methods can influence the comprehension of complex algebraic concepts. This research aims to investigate students' perceptions and learning outcomes in abstract algebra courses of blended and asynchronous online learning. The research method used was quasi-experiment. The subject of 27 students is available without being randomly selected. Research instruments using questionnaires and tests. The test consists of eight essay questions. The questionnaire includes 27 closed-ended questions and six open-ended questions. The results showed that students perceived Abstract Algebra subjects as difficult or very difficult. Most students needed help to study the module due to material difficulty thoroughly. In addition, asynchronous online learning is ineffective compared to blended online learning. All students wanted the tutorial asynchronous and synchronous combined (blended online learning). Most students carry out online learning at home using a smartphone device. Students who use blended online learning obtain significantly higher learning outcomes than students who only take it asynchronously.

Keywords

Algebra abstract Asynchronous and synchronous Blended online learning Learning outcomes Student perceptions

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References

  1. Agustyaningrum, N., Sari, R. N., Abadi, A. M., & Mahmudi, A. (2020). Dominant factors that cause students' difficulties in learning abstract algebra: A case study at a university in Indonesia. International Journal of Instruction, 14(1), 847-866. https://doi.org/10.29333/IJI.2021.14151A

  2. Amiti, F. (2020). Synchronous and asynchronous e-learning. European Journal of Open Education and E-Learning Studies, 5(2), 60-70. https://doi.org/10.46827/ejoe.v5i2.3313

  3. Arikan, E. E., Ozkan, A., & Ozkan, E. M. (2015). An examination in Turkey: Error analysis of mathematics students on group theory. Educational Research and Reviews, 10(16), 2352-2361.

  4. Bahri, A., Idris, I. S., Muis, H., Arifuddin, M., & Fikri, M. J. N. (2021). Blended learning integrated with innovative learning strategy to improve self-regulated learning. International Journal of Instruction, 14(1), 779-794. https://doi.org/10.29333/IJI.2021.14147A

  5. Batmang, B., Sultan, M., Azis, A., & Gunawan, F. (2021). Perceptions of pre-service teachers on online learning during the COVID-19 pandemic. International Journal of Education in Mathematics, Science and Technology (IJEMST), 9(3), 449-461. https://doi.org/10.46328/IJEMST.1595

  6. Borba, M. C., Askar, P., Engelbrecht, J., Gadanidis, G., Llinares, S., & Aguilar, M. S. (2016). Blended learning, e-learning and mobile learning in mathematics education. ZDM Mathematics Education, 48, 589-610. https://doi.org/10.1007/s11858-016-0798-4

  7. Buxton, E. C. (2014). Pharmacists' perception of synchronous versus asynchronous distance learning for continuing education programs. American Journal of Pharmaceutical Education, 78(1), 8. https://doi.org/10.5688/ajpe7818

  8. Cavalcanti, A. P., Barbosa, A., Carvalho, R., Freitas, F., Tsai, Y.-S., Gašević, D., & Mello, R. F. (2021). Automatic feedback in online learning environments: A systematic literature review. Computers and Education: Artificial Intelligence, 2, 100027. https://doi.org/10.1016/j.caeai.2021.100027

  9. Choi, J., & Walters, A. (2018). Exploring the impact of small-group synchronous discourse sessions in online math learning. Online Learning Journal, 22(4), 47-64. https://doi.org/10.24059/olj.v22i4.1511

  10. Dangol, R., & Shrestha, M. (2019). Learning readiness and educational achievement among school students. The International Journal of Indian Psycology, 7(2), 467-476.

  11. Darma, I. K., Karma, I. G. M., & Santiana, I. M. A. (2019). The development of blended learning model in applied mathematics by using LMS schoology (Requirement analysis stage). International Research Journal of Engineering, IT & Scientific Research, 5(6), 33-45. https://doi.org/10.21744/irjeis.v5n6.798

  12. Doño, M. J. A., & Mangila, B. B. (2021). Mathematics teacher's engagement and students' motivation to learn mathematics. Infinity Journal, 10(2), 285-300. https://doi.org/10.22460/infinity.v10i2.p285-300

  13. Ebner, C., & Gegenfurtner, A. (2019). Learning and satisfaction in webinar, online, and face-to-face instruction: A meta-analysis. Frontiers in Education, 4, 1-11. https://doi.org/10.3389/feduc.2019.00092

  14. Ene, E., & Upton, T. A. (2018). Synchronous and asynchronous teacher electronic feedback and learner uptake in ESL composition. Journal of Second Language Writing, 41, 1-13. https://doi.org/10.1016/j.jslw.2018.05.005

  15. Fadillah, S., & Jamilah, J. (2016). Pengembangan bahan ajar struktur aljabar untuk meningkatkan kemampuan pembuktian matematis mahasiswa [Development of algebraic structure teaching materials to improve students' mathematical proof abilities]. Cakrawala Pendidikan, XXXV(1), 106-113. https://doi.org/10.21831/cp.v1i1.8379

  16. Fukawa-Connelly, T. P. (2007). A tale of two courses; teaching and learning undergraduate abstract algebra. Dissertation. University of Maryland. http://drum.lib.umd.edu/bitstream/1903/7675/1/umi-umd-4950.pdf

  17. Hadjinicolaou, M. (2014). Virtual class - An appropriate environment for distance learning mathematics at an open university. European Journal of Open, Distance and E-Learning, 17(1), 147-153. https://doi.org/10.2478/eurodl-2014-0010

  18. Hung, H.-C., Liu, I.-F., Liang, C.-T., & Su, Y.-S. (2020). Applying educational data mining to explore students’ learning patterns in the flipped learning approach for coding education. Symmetry, 12(2), 213. https://doi.org/10.3390/sym12020213

  19. Iilonga, H. K., & Ogbonnaya, U. I. (2023). Grade 10 Namibian learners' problem-solving skills in algebraic word problems. Infinity Journal, 12(2), 275-290. https://doi.org/10.22460/infinity.v12i2.p275-290

  20. Indrawati, C. D. S. (2021). The effectiveness of archiving videos and online learning on student's learning and innovation skills. International Journal of Instruction, 14(4), 135-154. https://doi.org/10.29333/iji.2021.1449a

  21. Judson, T. W. (2020). Abstract algebra: Theory and applications. Stephen F. Austin State University.

  22. Kear, K., Chetwynd, F., Williams, J., & Donelan, H. (2012). Web conferencing for synchronous online tutorials: Perspectives of tutors using a new medium. Computers & Education, 58(3), 953-963. https://doi.org/10.1016/j.compedu.2011.10.015

  23. Kontorovich, I., & Zazkis, R. (2017). Mathematical conventions: Revisiting arbitrary and necessary. For the learning of Mathematics, 37(1), 29-34. https://flm-journal.org/Articles/347ABF1D3C4833E9FA714574072F4.pdf

  24. Lemay, D. J., Bazelais, P., & Doleck, T. (2021). Transition to online learning during the COVID-19 pandemic. Computers in Human Behavior Reports, 4, 100130. https://doi.org/10.1016/j.chbr.2021.100130

  25. 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

  26. Martínez-Argüelles, M. J., Plana-Erta, D., Hintzmann-Colominas, C., Badia-Miró, M., & Batalla-Busquets, J. M. (2013). Usefulness of feedback in e-learning from the students’ perspective European conference on e-learning (ECEL),

  27. Moorhouse, B. L., & Wong, K. M. (2022). Blending asynchronous and synchronous digital technologies and instructional approaches to facilitate remote learning. Journal of Computers in Education, 9, 51-70. https://doi.org/10.1007/s40692-021-00195-8

  28. Nguyen, T. (2015). The effectiveness of online learning : Beyond no significant difference and future horizons. MERLOT Journal of Online Learning and Teaching, 11(2), 309-319. https://jolt.merlot.org/Vol11no2/Nguyen_0615.pdf

  29. Nofriyandi, N., & Andrian, D. (2022). Factors that affect students' mathematics performance at higher education in Riau province during the COVID-19 pandemic. Infinity Journal, 11(2), 367-380. https://doi.org/10.22460/infinity.v11i2.p367-380

  30. Pakhomova, E. G., Yanuschik, O. V., & Dorofeeva, M. G. (2016). Analysis of the e-learning technologies used for teaching mathematics at Tomsk Polytechnic University In International Conference on Research Paradigms Transformation in Social Sciences (RPTSS) 2015, (Vol. 28, pp. 01108). https://doi.org/10.1051/shsconf/20162801108

  31. Putra, H. D., Herman, T., & Sumarmo, U. (2020). The impact of scientific approach and what-if-not strategy utilization towards student's mathematical problem posing ability. International Journal of Instruction, 13(1), 669-684. https://doi.org/10.29333/iji.2020.13143a

  32. Rigo, F., & Mikuš, J. (2021). Asynchronous and synchronous distance learning of English as a foreign language. Media Literacy and Academic Research, 4(1), 89-106. https://www.mlar.sk/wp-content/uploads/2021/04/6_Rigo_Mikus.pdf

  33. Rusli, R., Rahman, A., & Abdullah, H. (2020). Student perception data on online learning using heutagogy approach in the Faculty of Mathematics and Natural Sciences of Universitas Negeri Makassar, Indonesia. Data in Brief, 29, 105152. https://doi.org/10.1016/j.dib.2020.105152

  34. Smith, J. G., & Suzuki, S. (2015). Embedded blended learning within an algebra classroom: A multimedia capture experiment. Journal of Computer Assisted Learning, 31(2), 133-147. https://doi.org/10.1111/jcal.12083

  35. Sumarmi, S., Bachri, S., Irawan, L. Y., & Aliman, M. (2021). E-Module in blended learning: Its impact on students' disaster preparedness and innovation in developing learning media. International Journal of Instruction, 14(4), 187-208. https://doi.org/10.29333/iji.2021.14412a

  36. Yamagata-lynch, L. C. (2014). Blending online asynchronous and synchronous learning. International Review of Research in Open and Distributed Learning, 15(2), 189-212. https://doi.org/10.19173/irrodl.v15i2.1778

  37. Yumiati, Y., & Wahyuningrum, E. (2017). Study on the learning profile in Indonesia open university (Judging from the aspects of mathematics education students) The 31st Annual Conference of The Asian Association of Open Universities,

  38. Yuniati, S. (2014). Analisis kesalahan mahasiswa dalam menyelesaikan soal pembuktian struktur aljabar [Analysis of student errors in solving algebraic structure proof problems]. Beta: Jurnal Tadris Matematika, 7(2), 72-81.

  39. Zubaidi, B. M., & Jaber, M. A. (2019). The effect of using Flipped Learning strategy on the academic achievement in Arabic language and the development of self-learning skills among the 10th grade students. Jordanian Educational Journal, 4(1), 57-74. https://doi.org/10.46515/2060-004-001-003