Blended Learning Model During the Covid-19 Pandemic: Analysis of Student’s' Mathematical Disposition

Ahmad Fadillah, Dian Nopitasari, Barra P Pradja

Abstract


The purpose of this study is to describe the mathematical disposition of students who use blended learning during the Covid-19 pandemic. This research is a descriptive qualitative research. The research subjects were four students from the sixth semester of mathematics education study program. The research instrument was a student mathematical disposition questionnaire. The results of the study concluded that the average level of mathematical disposition of students was classified as moderate. If seen from the indicators, only the monitor and evaluate indicators are classified as high category. Indicators of persistence and perseverance, especially when lecturers present interesting contextual problems. Many indicators of curiosity arise when lecturers invite students to be active in learning, for example students are invited to study in groups. Many self-confidence indicators appear when lecturers ask students questions. While many flexible indicators appear when lecturers give open ended questions.


Keywords


Blended learning; Edmodo software; COVID-19 pandemic; Mathematical disposition.

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References


Agnoletto, R., & Queiroz, V. C. (2020). COVID-19 and The Challenges in Education. CEST Bulliton, 5(2), 1–2.

Al-Said, K. M. (2015). Students’ Perceptions of Edmodo and Mobile Learning and Their Real Barriers Towards Them. Turkish Online Journal of Educational Technology, 14(2), 167–180.

Ardana, I. M., Ariawan, I. P., & Divayana, D. G. (2016). Development of Decision Support System to Selection of the Blended Learning Platforms for Mathematics and ICT Learning at SMK TI Udayana. International Journal of Advanced Research in Artificial Intelligence, 5(12), 15–18. https://doi.org/10.14569/ijarai.2016.051203

Balasubramanian, K., Jaykumar, V., & Fukey, L. N. (2014). A Study on “Student Preference towards the Use of Edmodo as a Learning Platform to Create Responsible Learning Environment.” Procedia - Social and Behavioral Sciences, 144, 416–422. https://doi.org/10.1016/j.sbspro.2014.07.311

Çakır, 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

Castro, R. (2019). Blended Learning in Higher Education: Trends and Capabilities. Education and Information Technologies, 24(4), 2523–2546. https://doi.org/10.1007/s10639-019-09886-3

Creswell, J. W., & Creswell, J. D. (2018). Research and Design Qualitative, Quantitative and Mixed Methods Approaches. In Thousand Oaks California.

Dempsey, M., & Burke, J. (2020). COVID-19 Practice in Primary Schools in Ireland Report: A Two-month Follow-up. https://doi.org/10.13140/RG.2.2.14091.03369

Ekmekçi, E. (2016). Integrating Edmodo into Foreign Language Classes as an Assessment Tool. Participatory Educational Research, Special Is, 1–11. https://doi.org/10.17275/per.16.spi.1.1

Eryilmaz, M. (2015). The Effectiveness Of Blended Learning Environments. Contemporary Issues in Education Research (CIER), 8(4), 251–256. https://doi.org/10.19030/cier.v8i4.9433

Feldhaus, C. (2014). How Pre Service Elementary School Teachers’ Mathematical Dispositions are Influenced by School Mathematics. American International Journal of Contemporary Research, 4(6), 91–97. Retrieved from http://www.aijcrnet.com/journals/Vol_4_No_6_June_2014/11.pdf

Hendriana, H., & Sumarmo, U. (2017). Penilaian Pembelajaran Matematika. In PT Refika Aditama.

Hong, J. C., Hwang, M. Y., Tai, K. H., & Kuo, Y. C. (2016). Parental Monitoring Predicts Students’ Prosocial and Impulsive Tendencies Relevant to Consequence-Based Reasoning in a Blended Learning Environment. Interactive Learning Environments, 24(7), 1534–1551. https://doi.org/10.1080/10494820.2015.1041397

Horn, M. B., & Staker, H. (2014). Blended: Using Disruptive Innovation to Improve Schools. In Blended: using disruptive innovation to improve schools. San Francisco: Jossey-Bass.

Incikabi, L., Tuna, A., & Biber, A. C. (2013). An Analysis Of Mathematics Teacher Candidates Critical Thinking Dispositions And Their Logical Thinking Skills. Journal of International Education Research (JIER), 4(2), 2141–2161. https://doi.org/10.19030/jier.v9i3.7884

Jou, M., Lin, Y. T., & Wu, D. W. (2016). Effect of a Blended Learning Environment on Student Critical Thinking and Knowledge Transformation. Interactive Learning Environments, 24(6), 1131–1147. https://doi.org/10.1080/10494820.2014.961485

Kilpatrick, J., Swafford, J., & Findell, B. (2002). Adding It Up: Helping Children Learn Mathematics. In Book Reviews. https://doi.org/https://doi.org/10.17226/9822.

Kusmaryono, I. (2014). The Importance of Mathematical Power in Mathematics Learning. International Conference on Mathematics, Sciense, and Education (ICMSE), 35–40.

Lin, S.-W., & ChunTai, W. (2016). A Longitudinal Study for Types and Changes of Students’ Mathematical Disposition. Universal Journal of Educational Research, 4(8), 1903–1911. https://doi.org/10.13189/ujer.2016.040821

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

Mokhtar, F. A. (2016). Rethinking Conventional Teaching In Language Learning And Proposing Edmodo As Intervention: A Qualitative Analysis. Malaysian Online Journal of Educational Technology, 4(2), 22–37.

Moleong, L. J. (2019). Metodologi Penelitian Kualitatif (Edisi Revisi). PT. Remaja Rosda Karya. https://doi.org/10.1016/j.carbpol.2013.02.055

Mulenga, E. M., & Marbán, J. M. (2020). Is COVID-19 the Gateway for Digital Learning in Mathematics Education? Contemporary Educational Technology, 12(2), 1–11. https://doi.org/10.30935/cedtech/7949

Quevedo, A. (2011). Blended-Learning Implementation in Undergraduate Teacher’s Formation Courses: Difficulties from The Students’ Point of View. International Journal of Technology, Knowledge and Society, 7(2), 187–200. https://doi.org/10.18848/1832-3669/CGP/v07i02/56192

Rahayu, R., & Kartono. (2014). The Effect of Mathematical Disposition toward Problem Solving Ability Based On IDEAL Problem Solver. International Journal of Science and Research, 3(10), 2012–2015.

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

Sugiyono. (2016). Metode Penelitian Pendidikan (Pendekatan Kuantitatif, Penelitian Kualitatif, dan R&D). In Alfabeta. Bandung: Alfabeta.

Van Niekerk, J., & Webb, P. (2016). The Effectiveness of Brain-Compatible Blended Learning Material in the Teaching of Programming Logic. Computers and Education, 103, 16–27. https://doi.org/10.1016/j.compedu.2016.09.008

Watson, J., & Murin, A. (2014). A History of K-12 Online and Blended Instruction in The United States. In Handbook of Research on K-12 Online and Blended Learning. ETC Press Pub.




DOI: https://doi.org/10.31764/jtam.v4i2.2582

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