Development of Interactive Mathematics E-Modules Based on Local Issues with a Personalized Approach to Facilitate Junior High School Students' Computational Thinking Skills

Asria Ratau, Halima Bugis, Wa Nurmin Wagola, Julham Hukom

Abstract


Computational thinking is a method or problem-solving technique that uses concepts from computer science, some characteristics of computational thinking are abstraction, problem decomposition, algorithmic thinking, and generalization. One of the efforts that can generally be done to facilitate students' computational thinking is to facilitate teaching materials (e-modules). Several previous studies have conducted various developments of mathematics e-modules, but there are several weaknesses including the materials and instruments are less related to the context or local issues in the student's environment, the materials and instruments are not oriented to the computational thinking aspect, the e-modules developed pay less attention to the interactivity aspect, so that students do not get optimal feedback from teachers and make it difficult for teachers to control students' abilities, and the e-modules developed do not facilitate students' diverse initial abilities, so a personalized approach is needed in developing e-modules. Therefore, this study aims to produce interactive mathematics e-modules based on local issues or local issues with a personalized approach to facilitate junior high school students' computational thinking abilities. This research is a research & development (R&D) using the Borg and Gall development model. The results of our study indicate that interactive mathematics e-modules based on local issues or local issues with a personalized approach are declared feasible, practical, and effective in facilitating junior high school students' computational thinking. These findings can provide significant contributions in the field of education, especially in teaching mathematics that is more contextual and adaptive to students' needs.


Full Text:

PDF

References


Abedi, R., Nili Ahmadabadi, M. R., Taghiyareh, F., Aliabadi, K., & Pourroustaei Ardakani, S. (2021). The effects of personalized learning on achieving meaningful learning outcomes. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 12(3), 177-187. https://doi.org/10.30476/ijvlms.2021.89371.1072

Agbo, F. J., Oyelere, S. S., Suhonen, J., & Tukiainen, M. (2023). Design, development, and evaluation of a virtual reality game-based application to support computational thinking. Educational technology research and development, 71(2), 505-537.

Altıntaş, E., & Özdemir, A. Ş. (2015). The effect of the developed differentiation approach on the achievements of the students. Eurasian Journal of Educational Research, (61), 199-216. http://dx.doi.org/10.14689/ejer.2015.61.11

Angeli, C., & Giannakos, M. (2020). Computational thinking education: Issues and challenges. Computers in human behavior, 105, 106185.

Ardiyani, S. M. (2018). Realistic Mathematics Education in Cooperative Learning Viewed from Learning Activity. Journal on Mathematics Education, 9(2), 301-310.

Borg W,R. and Gall M. D., Educational Research : An Aintroduction, 4 th edition, London: Longman Inc., 2003.

Chica, M. I. V., Guerra, M. C., & Guerra, G. C. (2023). The Role of Artificial Intelligence in the Development of Teaching Effectiveness: A Tool for Personalization of Learning in Higher Education. In The IAFOR Conference on Educational Research & Innovation: 2023 Official Conference Proceedings, 2435-1202. https://doi.org/10.22492/issn.2435-1202.2023.14

Clark, R. C., & Mayer, R. E. (2016). E-learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning (4th ed.). San Francisco, CA: Pfeiffer.

Denning, P. J., & Tedre, M. (2019). Computational thinking. Mit Press.

Gadanidis, G., Javaroni, S. L., Santos, S. C. D., & Silva, E. C. D. (2021). Computing in Mathematics Education: Past, Present, and Future. In Handbook of Cognitive Mathematics (pp. 1-38). Cham: Springer International Publishing.

Gagné, R. M. (1985). The Conditions of Learning (4th ed.). New York, NY: Holt, Rinehart and Winston.

Gee, J. P. (2021). Thinking, learning, and reading: The situated sociocultural mind. In Situated Cognition, 235-259. Routledge.

Halliday, M. A. (2014). Meaning and the construction of reality in early childhood. In Modes of perceiving and processing information, 67-96. Psychology Press.

Hickmott, D., Prieto-Rodriguez, E., & Holmes, K. (2018). A scoping review of studies on computational thinking in K–12 mathematics classrooms. Digital Experiences in Mathematics Education, 4, 48-69.

Jumriani, J., Mutiani, M., Putra, M. A. H., Syaharuddin, S., & Abbas, E. W. (2021). The urgency of local wisdom content in social studies learning: Literature review. The Innovation of Social Studies Journal, 2(2), 103-109.

Kallia, M., van Borkulo, S. P., Drijvers, P., Barendsen, E., & Tolboom, J. (2021). Characterising computational thinking in mathematics education: a literature-informed Delphi study. Research in mathematics education, 23(2), 159-187.

Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. FT press.

Laurens, T. (2018, February). The Effectiveness of Local Wisdom Based-Realistic Mathematics Learning to Improve Learners' Characters at State Elementary Schools in Ambon City. In First Indonesian Communication Forum of Teacher Training and Education Faculty Leaders International Conference on Education 2017 (ICE 2017) 611-615.

Lee, I., Grover, S., Martin, F., Pillai, S., & Malyn-Smith, J. (2020). Computational thinking from a disciplinary perspective: Integrating computational thinking in K-12 science, technology, engineering, and mathematics education. Journal of Science Education and Technology, 29, 1-8.

Liou, S. R., Cheng, C. Y., Chu, T. P., Chang, C. H., & Liu, H. C. (2023). Effectiveness of differentiated instruction on learning outcomes and learning satisfaction in the evidence‐based nursing course: Empirical research quantitative. Nursing open, 10(10), 6794-6807.

Mardapi, Djemari. 2008. Teknik Penyusunan Instrumen Tes dan Nontes. Yogyakarta: Mitra Cendikia Press.

Meaney, T. (2016). Locating learning of toddlers in the individual/society and mind/body divides. Nordic Studies in Mathematics Education, 21(4), 5-28.

Nur, S., Lakoro, Q., & Lengkoan, F. (2023). The Effectiveness of Digital Learning Curriculum 2013 in Pandemic. Journal of English Culture, Language, Literature and Education, 11(2), 264-276.

Ouchaouka, L., Laouina, Z., Moussetad, M., Talbi, M., El Amrani, N., & ElKouali, M. H. (2021). The effectiveness of a learner-centered pedagogical approach with flipped pedagogy and digital learning environment in higher education feedback on a cell biology course. International Journal of Emerging Technologies in Learning (iJET), 16(12), 4-15.

Parwati, N. N., Sudiarta, I., Mariawan, I., & Widiana, I. W. (2018). Local wisdom-oriented problem-solving learning model to improve mathematical problem-solving ability. JOTSE: Journal of technology and science education, 8(4), 310-320. https://doi.org/10.3926/jotse.401

Piaget, J. (1955). The construction of reality in the child. Routledge.

Priyonggo, H. W., Wardono, W., & Asih, T. S. N. (2021). Mathematics Literacy Skill on Problem Based Learning Assisted by E-Module Agito Based on Learning Motivation. Unnes Journal of Mathematics Education Research, 10(A), 54-58.

Rodríguez-Martínez, J. A., González-Calero, J. A., & Sáez-López, J. M. (2020). Computational thinking and mathematics using Scratch: an experiment with sixthgrade students. Interactive Learning Environments, 28(3), 316-327.

Saleh, M., Prahmana, R. C. I., & Isa, M. (2018). Improving the Reasoning Ability of Elementary School Student through the Indonesian Realistic Mathematics Education. Journal on Mathematics Education, 9(1), 41-54.

Stavrou, T. E., & Koutselini, M. (2016). Differentiation of Teaching and Learning: The Teachers' Perspective. Universal Journal of Educational Research, 4(11), 2581-2588. http://dx.doi.org/10.13189/ujer.2016.041111

Tegeh, I. M., & Kirna, I. M. (2013). Pengembangan Bahan Ajar Metode Penelitian Pendidikan dengan ADDIE Model. Jurnal IKA, 11(1), 16. https://ejournal.undiksha.ac.id/index.php/IKA/article/view/1145

Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Cambridge, MA: Harvard University Press.

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33- 35.

Zahrah, R. F., & Febriani, W. D. (2020). A contextual problem based of local wisdom improve the ability to solving a word problem mathematics students of elementary school. PrimaryEdu: Journal of Primary Education, 4(1), 55-64.

Zheng, L., Long, M., Zhong, L., & Gyasi, J. F. (2022). The effectiveness of technology-facilitated personalized learning on learning achievements and learning perceptions: a meta-analysis. Education and Information Technologies, 27(8), 11807-11830. http://dx.doi.org/10.1007/s10639-022-11092-7




DOI: https://doi.org/10.33365/jm.v7i1.4670

Refbacks

  • There are currently no refbacks.


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


Creative Commons License

Articles in Jurnal Mathema are licensed under a Creative Commons Attribution-ShareAlike 4.0 International Licenseslot raffi ahmadgacor4dhttps://jurnal.usk.ac.id/lib/pkp/sbobet88/robopragmalapak cheatturbox1000akun pro jepangsensorgacorscatter hitamyosi88 yosi88 yosi88 yosi88 yosi88 yosi88 hit88 hit88 hit88 hit88 hit88https://elijo.umpwr.ac.id/pages/idnslot/bokep indo
slot gacor slot gacor hari ini slot gacor 2025 demo slot pg slot gacor slot gacor