An Exploration of Secondary Students’ Perception of Blended Learning in Mathematics Learning

Authors

  • Intania Ayu Harjanti University of Muhammadiyah Prof. Dr. Hamka
  • Ayu Faradillah University of Muhammadiyah Prof. Dr. Hamka

DOI:

https://doi.org/10.35706/sjme.v4i2.3650
Abstract views: 88

Abstract

This study aims to analyze students’ perceptions about the use of blended learning models in understanding mathematics. As blended learning becomes more commonplace, it is important to assess whether students like or dislike the application of blended learning in their studies. The total research subjects were 319 secondary students from 6 different schools in Jakarta. Furthermore, this study used a survey method and the data were analyzed using the Rasch Model (WinSteps). The research instrument was a questionnaire consisting of 21 statements with several indicators, including the delivery of material, understanding of mathematical concepts, easy access, and assignments. Based on the wright maps table on WinSteps, the percentage of male students who like the Blended Learning model in learning mathematics is more than female students. Meanwhile, when viewed in terms of grade, 7th and 8th grade students like the application of blended learning models the most. In addition, this study reveals that students most dislike when it is difficult to access assignments online during the application of blended learning by teachers in learning mathematics. Therefore, to solve mathematical problems, students prefer to have a face-to-face interaction with the teachers to ask if there is something that is not understood yet.

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References

Blankson, J., & Kyei-Blankson, L. (2008). Nontraditional students’ perception of a blended course: Integrating synchronous online discussion and face-to-face instruction. Journal of Interactive Learning Research, 19(3), 421–438.

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(5), 589–610. https://doi.org/10.1007/s11858-016-0798-4

Çak?r, H., & Bichelmeyer, B. A. (2016). Effects of teacher professional characteristics on student achievement: an investigation in blended learning environment with standards-based curriculum. Interactive Learning Environments, 24(1), 20–32. https://doi.org/10.1080/10494820.2013.817437

Edwards, A., & Alcock, A. (2010). Using rasch analysis to identify uncharacteristic responses to undergraduate assessments. Teaching Mathematics and Its Applications, 29(4), 165–175. https://doi.org/10.1093/teamat/hrq008

Faradillah, A., & Hadi, W. (2020). EDUCATORS ’ PERCEPTION OF BLENDED LEARNING MODELS ON. 5(1), 83–92.

Hidayah, N., Lah, C., & Tasir, Z. (2018). Measuring Reliability and Validity of Questionnaire on Online Social Presence : A Rasch Model Analysis. (November). https://doi.org/10.1166/asl.2018.12452

Horvat, A., Dobrota, M., & Krsmanovic, M. (n.d.). Student perception of Moodle learning management system : a satisfaction and significance analysis. (May 2015), 37–41. https://doi.org/10.1080/10494820.2013.788033

Kharb, P., & Samanta, P. P. (2016). Journal of the Anatomical Society of India Blended learning approach for teaching and learning anatomy : Students ’ and teachers ’ perspective. Indian Journal of Rheumatology, 65(1), 43–47. https://doi.org/10.1016/j.jasi.2016.06.001

Kim, K., Liu, S., & Bonk, C. J. (2005). Online MBA students ’ perceptions of online learning : Benefits , challenges , and suggestions. 8, 335–344. https://doi.org/10.1016/j.iheduc.2005.09.005

Lamb, R. L., Annetta, L., & Meldrum, J. (2011). Measuring science interest : Rasch validation of the science interest survey MEASURING SCIENCE INTEREST : RASCH VALIDATION. (November 2017). https://doi.org/10.1007/s10763-011-9314-z

Linacre, J.M. (2006). A User’s Guide to WINSTEPS. Chicago: Winsteps.com.

López-pérez, M. V., Pérez-lópez, M. C., & Rodríguez-ariza, L. (2011). Computers & Education Blended learning in higher education : Students ’ perceptions and their relation to outcomes. Computers & Education, 56(3), 818–826. https://doi.org/10.1016/j.compedu.2010.10.023

Mosca, J. B., Ball, D. R., Buzza, J. S., & Paul, D. P. (2010). A Comprehensive Student-Based Analysis. 8(5), 7–22.

Ogden, L. (2015). Student perceptions of the flipped classroom in college Algebra. Primus, 25(9), 782–791. https://doi.org/10.1080/10511970.2015.1054011

Owston, R., York, D., & Murtha, S. (2013). Student perceptions and achievement in a university blended learning strategic initiative. Internet and Higher Education, 18, 38–46. https://doi.org/10.1016/j.iheduc.2012.12.003

Shelley, M. C. (2008). Considering Students ’ Perceptions : The Distance Education Student Satisfaction Model Considering Students ’ Perceptions : The Distance Education Student.

Stern, M. J., Bilgen, I., & Dillman, D. A. (2014). The State of Survey Methodology: Challenges, Dilemmas, and New Frontiers in the Era of the Tailored Design. Field Methods, 26(3), 284–301. https://doi.org/10.1177/1525822X13519561

Stricker, D., Weibel, D., & Wissmath, B. (2011). Efficient learning using a virtual learning environment in a university class. Computers and Education, 56(2), 495–504. https://doi.org/10.1016/j.compedu.2010.09.012

Tennant, A., & Conaghan, P. G. (2007). The Rasch measurement model in rheumatology: What is it and why use it? When should it be applied, and what should one look for in a Rasch paper? Arthritis Care and Research, 57(8), 1358–1362. https://doi.org/10.1002/art.23108

WALLACE, R. M. (2003). Online Learning in Higher Education: a review of research on interactions among teachers and students. In Education, Communication & Information (Vol. 3). https://doi.org/10.1080/14636310303143

Yulianto, S. E. (2011). Pengaruh Persepsi Kemudahan Dan Persepsi Kemanfaatan Terhadap Pemanfaatan E-Learning Dengan Model Tam Di Smk Muhammadiyah 3 Yogyakarta. Jbti, II(1), 1–14.

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Published

2020-07-29