Students' Boredom Profile in Mathematical Problem-Solving: A Computational Thinking Perspective
Abstract
Boredom is a mental state characterized by discomfort and dissatisfaction caused by insufficient introduction of stimulus, challenge, or meaning in the environment. Objective: This study aims to describe students' boredom profile in solving mathematics problems based on their computational thinking ability. Methods: The method used was a descriptive qualitative approach with the subject of 62 students consisting of 63% female students and 37% male students of class IX SMP Negeri 1 Semarang, then took nine students with purposive sampling technique, taking subjects based on advanced, intermediate, and basic computational thinking ability tests, taken three each category based on recommendations from subject teachers. Findings: Student boredom is influenced by five factors, namely disengagement, high arousal, inattention, low arousal, and time perception. Students with advanced computational thinking ability generally do not feel bored because they feel challenged, although they can lose interest if the problem is too easy. Students with intermediate computational thinking ability have relatively low boredom, remaining engaged despite difficulties. In contrast, students with basic computational thinking ability are more susceptible to boredom due to difficulty understanding problems, frustration, a desire to quit, and a perceived lack of engaging activities. To overcome the problem of boredom, the recommendation from this study is to provide content-differentiated learning for each student, this can also be a recommendation for further research. Conclusion: Students with advanced computational thinking can feel bored if the problems given are too easy. Meanwhile, students with basic computational thinking feel bored when they find it difficult to understand the problem.
Keywords: boredom, mathematics, problem-solving, computational thinking.
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Agustina, Poppy., D. (2019). Analisis faktor penyebab terjadinya kejenuhan belajar pada siswa dan usaha guru BK untuk mengatasinya [Analyze the factors that cause learning saturation in students and counseling teachers' efforts to overcome it.]. Jurnal Ilmiah Mahasiswa Bimbingan dan Konseling, 4(1), 96–102.
Anderson, A. J., McMeen, C. E., Perone, S., & Weybright, E. H. (2022). Sound and Silence: The Effects of Environmental Conditions on State Boredom in an Online Study during the COVID-19 Pandemic. Behavioral Sciences, 12(8). https://doi.org/10.3390/bs12080282
Anderson, J. (2009). Mathematics curriculum development and the role of problem solving.
Angeli, C., & Giannakos, M. (2020). Computational thinking education: Issues and challenges. Computers in Human Behavior, 105, 106185. https://doi.org/10.1016/j.chb.2019.106185
Ansori, M. (2020). Pemikiran komputasi (computational thinking) dalam pemecahan masalah [Computational Thinking in Problem Solving]. Dirasah : Jurnal Studi Ilmu dan Manajemen Pendidikan Islam, 3(1), 111–126. https://doi.org/10.29062/dirasah.v3i1.83
Astuti, Syahza, A., Putra, Z. H. (2023) Penelitian computational thinking dalam pembelajaran matematika [Computational Thinking Research in Mathematics Learning]. Jurnal Program Studi Pendidikan Matematika, 12(1), 363-384. https://doi.org/10.24127/ajpm.v12i1.5860
Ayu, S., Ardianti, S. D., & Wanabuliandari, S. (2021). Analisis faktor penyebab kesulitan belajar matematika [Analysis of Factors Causing Math Learning Difficulties]. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 10(3), 1611. https://doi.org/10.24127/ajpm.v10i3.3824
Barmack, J. E. (1938). The effect of benzedrine sulfate (benzyl methyl carbinamine) upon the report of boredom and other factors. Journal of Psychology: Interdisciplinary and Applied, 5(1), 125–133. https://doi.org/10.1080/00223980.1938.9917557
Bekker, C. I., Rothmann, S., & Kloppers, M. M. (2023). The happy learner: Effects of academic boredom, burnout, and engagement. Frontiers in Psychology, 13(January), 1–14. https://doi.org/10.3389/fpsyg.2022.974486
Bogdan, R. C., & Bilken, S. K. (1992). Quality research for education: An introduction to Theory and Methods. Qualitative Research For Education An Introduction to Theory and Methods : : Allyn and Bacon., 106–156.
Booker, G. (2007). Problem solving, sense making and thinking mathematically.
Burgoyne, A. P., & Engle, R. W. (2020). Attention control: a cornerstone of higher-order cognition. Current Directions in Psychological Science, 29(6), 624–630. https://doi.org/10.1177/0963721420969371
Cziksentmihalyi, M. (1990). Flow: the psychology of optimal experience. Haper and Row. https://doi.org/10.2307/258925
Damayanti, I. R., & Yohandri, Y. (2022). E-Book development effectiveness problem based learning with quizing in physics learning. Jurnal Penelitian Pendidikan IPA, 8(6), 3044–3049. https://doi.org/10.29303/jppipa.v8i6.2290
Daulay, K. R., & Ruhaimah, I. (2019). Polya theory to improve problem-solving skills. Journal of Physics: Conference Series, 1188(1). https://doi.org/10.1088/1742-6596/1188/1/012070
Doleck, T., Bazelais, P., Lemay, D. J., Saxena, A., & Basnet, R. B. (2017). Algorithmic thinking, cooperativity, creativity, critical thinking, and problem solving: exploring the relationship between computational thinking skills and academic performance. Journal of Computers in Education, 4(4), 355–369. https://doi.org/10.1007/s40692-017-0090-9
Dostál, J. (2015). Theory of problem solving. procedia - social and behavioral sciences, 174, 2798–2805. https://doi.org/10.1016/j.sbspro.2015.01.970
Eastwood, J. D., Frischen, A., Fenske, M. J., & Smilek, D. (2012). Perspectives on psychological science the unengaged mind : defining boredom. https://doi.org/10.1177/1745691612456044
Ersoy, E., & Bal-Incebacak, B. (2017). The evaluation of the problem solving in mathematics course according to student views. ITM Web of Conferences, 13, 01012. https://doi.org/10.1051/itmconf/20171301012
Fahlman, S. A., Mercer-Lynn, K. B., Flora, D. B., & Eastwood, J. D. (2011). Development and validation of the multidimensional state boredom scale. Assessment, 20(1), 68–85. https://doi.org/10.1177/1073191111421303
Friantini, R. N. (2024). Kemampuan pemecahan masalah matematika [Learning Burnout and Academic Procrastination on Mathematical Problem Solving Ability]. 98–104.
Goldhammer, F., Naumann, J., Stelter, A., Tóth, K., Rölke, H., & Klieme, E. (2014). The time on task effect in reading and problem solving is moderated by task difficulty and skill: Insights from a computer-based large-scale assessment. Journal of Educational Psychology, 106(3), 608–626. https://doi.org/10.1037/a0034716
Gupta, U. and Zheng, R. Z. (2020). Cognitive load in solving mathematics problems: validating the role of motivation and the interaction among prior knowledge, worked examples, and task difficulty. European Journal of STEM Education, 5(1), 05. https://doi.org/10.20897/ejsteme/9252
Hosseini, S., Hosseinkhanzadeh, A., & Mousavi, S. (2018). The efficacy of attention and concentration training on problem solving skills and quiz stress of female students. Health & Research Journal. https://doi.org/10.29252/HRJBAQ.3.2.114
Istikomah, D. A., & Jana, P. (2019). Mathematical prolem solving ability in apos modified learning model (M-APOS). Journal of Physics: Conference Series, 1254(1). https://doi.org/10.1088/1742-6596/1254/1/012071
Jalal, N. M. (2020). Kecemasan siswa pada mata pelajaran matematika [Student Anxiety in Mathematics Subjects]. J-PiMat: Jurnal Pendidikan Matematika, 2(2), 256–264.
Jatmiko, J. (2018). Kesulitan siswa dalam memahami pemecahan masalah matematika [Student Difficulties in Understanding Mathematical Problem Solving]. JIPMat, 3(1), 17–20. https://doi.org/10.26877/jipmat.v3i1.2285
Kaswar, A.B., & Nurjannah, N. (2024). Keefektifan computational thinking dalam meningkatkan kemampuan pemecahan masalah matematika siswa. Sigma [The Effectiveness Of Computational Thinking In Improving Students' Mathematical Problem Solving Skills. Sigma]: Jurnal Pendidikan Matematika.
Lee, C. I. (2017). An appropriate prompts system based on the Polya method for mathematical problem-solving. Eurasia Journal of Mathematics, Science and Technology Education, 13(3), 893–910. https://doi.org/10.12973/eurasia.2017.00649a
Magdalena, S. M., & Gabriela, P. A. (2019). Determinants of learning motivation from the perspective of Self determination theory. Proceedings of the 11th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2019, 0–3. https://doi.org/10.1109/ECAI46879.2019.9042147
Maharani, S., Kholid, M. N., Pradana, L. N., & Nusantara, T. (2019). Problem solving in the context of computational thinking. Infinity, 8(2) 109-116.
McCormick, J. N. (2015). Engaging students in critical thinking and problem solving: a brief review of the literature. Journal of Studies in Education, 5(4), 100-113.
Mondal, N., & Das, D. A. C. (2021). Overview of curriculum change: a brief disccussion. EPRA International Journal of Multidisciplinary Research (IJMR)-Peer Reviewed Journal, 7(3), 260–265. https://doi.org/10.36713/epra2013
NCTM. (2020). Standards for the preparation of secondary mathematics teachers. The National Council of Teachers of Mathematics, Inc., May, 1–84.
Ni’matul Fauziah. (2013). Faktor penyebab kejenuhan belajar sejarah kebudayaan islam (ski) pada siswa kelas xi jurusan keagamaan di man tempel sleman [Factors Causing Boredom in Learning Islamic Culture History (SKI) Among 11th Grade Students of Religious Majors at Man Tempel Sleman]. Jurnal Pendidikan Agama Islam, 10(1), 99–108. https://ejournal.uin-suka.ac.id/tarbiyah/jpai/article/ view/1297
Noviantii, E., Yuanita, P., & Maimunah, M. (2020). Pembelajaran berbasis masalah dalam meningkatkan kemampuan pemecahan masalah matematika [Problem-Based Learning in Improving Mathematics Problem Solving Ability]. Journal of Education and Learning Mathematics Research (JELMaR), 1(1), 65–73. https://doi.org/10.37303/jelmar.v1i1.12
Nuraini, F., Agustiani, N., & Mulyanti, Y. (2023). Analisis kemampuan berpikir komputasi ditinjau dari kemandirian belajar siswa kelas X SMK [Analysis of Computational Thinking Ability in View of Learning Independence of Class X Vocational Students]. Jurnal Cendekia : Jurnal Pendidikan Matematika, 7(3), 3067–3082. https://doi.org/10.31004/cendekia.v7i3.2672
Nurfadilah, S., & Lukman Hakim, D. (2019). Kemandirian belajar siswa dalam proses pembelajaran matematika [Student Learning Independence in the Mathematics Learning Process.]. Prosiding Seminar Nasional Matematika dan Pendidikan Matematika Sesiomadika 2019, 1214–1222.
Nuzzaci, A. (2024). Incorporating computational thinking into education: from teacher training to student mastery. Journal of Education and Training, 11(2), 70. https://doi.org/10.5296/jet.v11i2.21942
Pekrun, R., Goetz, T., Daniels, L. M., Stupnisky, R. H., & Perry, R. P. (2010). Boredom in achievement settings: exploring control-value antecedents and performance outcomes of a neglected emotion. Journal of Educational Psychology, 102(3), 531–549. https://doi.org/10.1037/a0019243
Rara, A., 1, V., Yuli, T., Siswono, E., & Wiryanto, D. (2022). Hubungan berpikir komputasi dan pemecahan masalah polya pada pembelajaran matematika di sekolah dasar [The Relationship between Computational Thinking and Polya's Problem Solving in Mathematics Learning at Elementary School]. ANARGYA: Jurnal Ilmiah Pendidikan Matematika, 5(1), 115–126. http://jurnal.umk.ac.id/index.php/anargya
Sagala, A. F. H., Mariani, M., & Mansyur, A. (2023). Pengembangan media truth or dare berbasis model problem based learning untuk meningkatkan kemampuan berpikir logis dan motivasi belajar matematika siswa SMA Negeri 11 Medan [Development of Truth or Dare Media Based on Problem Based Learning Model to Improve Logical Thinking Ability and Motivation to Learn Mathematics Students of SMA Negeri 11 Medan]. Jurnal Cendekia : Jurnal Pendidikan Matematika, 7(2), 1571–1581. https://doi.org/10.31004/cendekia.v7i2.2336
Schukajlow, S. (2015). Effects of enjoyment and boredom on students" interest in mathematics and vice versa. Proceedings of Psychology Of Matehamtics Education Conference, 4, 137–144.
Schukajlow, S. (2016). Is boredom important for students ’ performance ? CERME 9 - Ninth Congress of the European Society for Research in Mathematics Education.
Schukajlow, S., & Achmetli, K. (2017). Multiple solutions for real-world problems, and students’ enjoyment and boredom. CERME 10, 1176–1185. https://hal.archives-ouvertes.fr/hal-01935829%0Ahttps://hal.archives-ouvertes.fr/hal-01935829/document
Schwartze, M. M., Frenzel, A. C., Goetz, T., Lohbeck, A., Bednorz, D., Kleine, M., & Pekrun, R. (2024). Boredom due to being over- or under-challenged in mathematics: A latent profile analysis. British Journal of Educational Psychology, May, 947–958. https://doi.org/10.1111/bjep.12695
Simanjuntak, S. D., & Imelda, I. (2019). Student’s difficulty analysis through realistic mathematics education using batak toba cultures. International Journal of Trends in Mathematics Education Research, 1(3), 87–91. https://doi.org/10.33122/ijtmer.v1i3.42
Siswono, T. Y. E., Kohar, A. W., Kurniasari, I., & Astuti, Y. P. (2016). An investigation of secondary teachers’ understanding and belief on mathematical problem solving. Journal of Physics: Conference Series, 693(1). https://doi.org/10.1088/1742-6596/693/1/012015
Solhi, M. (2021). University students’ multidimensional state boredom and strategies to cope with classroom boredom. Journal of Language and Education, 7(2), 204–222. https://doi.org/10.17323/JLE.2021.12256
Son, A. L., Darhim, & Fatimah, S. (2019). An analysis to student error of algebraic problem solving based on polya and newman theory. Journal of Physics: Conference Series, 1315(1). https://doi.org/10.1088/1742-6596/1315/1/012069
Steinberger, F., Moeller, A., & Schroeter, R. (2016). The antecedents, experience, and coping strategies of driver boredom in young adult males. Journal of Safety Research, 59, 69–82. https://doi.org/10.1016/j.jsr.2016.10.007
Sunawan, Yani, S. Y. A., Kencana, T. I., Anna, C. T., Mulawarman, Sofyan, A. (2017). Dampak efikasi diri terhadap beban kognitif dalam pembelajaran matematika dengan emosi akademik sebagai mediator [Impact of Self-Efficacy on Cognitive Load in Mathematics Learning with Academic Emotion as Mediator]. Jurnal Psikologi, 44(1), 28-38. https://doi.org/10.22146/jpsi.22742
Tan, W. L., Samsudin, M. A., Ismail, M. E., Ahmad, N. J., & Talib, C. A. (2021). Exploring the effectiveness of steam integrated approach via scratch on computational thinking. Eurasia Journal of Mathematics, Science and Technology Education, 17(12). https://doi.org/10.29333/ejmste/11403
Thiangthung, Y. (2016). Applying Polya’s four-steps and Schoenfeld’s behavior categories to enhance students’ mathematical problem solving. Journal of Advances in Humanities and Social Sciences, 2(5), 261–268. https://doi.org/10.20474/jahss-2.5.2
Utami, A. F., Pranata, O. D., & Angela, L. (2024). Analisis tingkat kejenuhan siswa sebelum, selama, dan setelah pembelajaran sains [Analysis of Students' Saturation Level Before, During, and After Science Learning.]. PENDIPA Journal of Science Education, 8(1), 1–9. https://doi.org/10.33369/pendipa.8.1.1-9
Vuyk, A., Montania, M., & Barrios, L. (2024). Boredom and its perceived impact in adolescents with exceptional mathematical talent: a sequential mixed-methods study in Paraguay. Frontiers in Sociology, 9(May). https://doi.org/10.3389/fsoc.2024.1214878
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215
Wu, T. T., Asmara, A., Huang, Y. M., & Permata Hapsari, I. (2024). Identification of problem-solving techniques in computational thinking studies: systematic literature review. SAGE Open, 14(2), 1–20. https://doi.org/10.1177/21582440241249897
Yadav, A., Hong, H., & Stephenson, C. (2016). Computational thinking for all: pedagogical approaches to embedding 21st century problem solving in k-12 classrooms. TechTrends, 60(6), 565–568. https://doi.org/10.1007/s11528-016-0087-7
Yapatang, L., & Polyiem, T. (2022). Development of the mathematical problem-solving ability using applied cooperative learning and polya’s problem-solving process for grade 9 students. Journal of Education and Learning, 11(3), 40. https://doi.org/10.5539/jel.v11n3p40
Yuanita, P., Zulnaidi, H., & Zakaria, E. (2018). The effectiveness of Realistic Mathematics Education approach: The role of mathematical representation as mediator between mathematical belief and problem solving. PLoS ONE, 13(9), 1–20. https://doi.org/10.1371/journal.pone.0204847
Yuntawati, Y., Sanapiah, S., & Aziz, L.A. (2021). Analisis kemampuan computational thinking mahasiswa dalam menyelesaikan masalah matematika [Analysis of Students' Computational Thinking Ability in Solving Mathematical Problems]. Media Pendidikan Matematika.
Zahra, F. A., & Hakim, D. L. (2022). Kesulitan siswa kelas vii smp dalam berpikir kritis matematis pada materi garis dan sudut [Junior High School Students' Difficulties in Mathematical Critical Thinking on Line and Angle Materials]. PHI: Jurnal Pendidikan Matematika, 6(2), 208. https://doi.org/10.33087/phi.v6i2.244
DOI: https://doi.org/10.23960/jpmipa.v26i1.pp131-152
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