Utilising smart water monitoring with IoT in science learning with problem-based learning model: Impact on critical thinking skills and the role of learning interest
Flaurencia Irene Mulya Irawati 1, Dwi Sulisworo 1 *
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1 Universitas Ahmad Dahlan, Indonesia
* Corresponding Author


This research explores the impact of integrating smart water monitoring with internet of things (IoT) into 7th-grade science education using the problem-based learning (PBL) model. A quasi-experimental research design with a post-test-only control group is employed to compare the effectiveness of two learning groups: one using the regular PBL model and the other incorporating smart water monitoring through IoT within the PBL framework. The study includes 7th-grade students from two different secondary schools as participants. The independent variables are the regular PBL model and the PBL model with smart water monitoring using IoT. In contrast, the dependent variable is students' critical thinking skills, with prior knowledge and learning interest as covariates. Students utilize an observation worksheet for Water Quality Assessment to observe different types of water and assess their suitability or water quality. The findings reveal that integrating smart water monitoring with IoT in the PBL model significantly positively impacts students' critical thinking skills. The group of smart water monitoring students demonstrated a more considerable improvement in critical thinking skills than those following the regular PBL model. The study highlights the essential role of students' learning interest in developing necessary thinking skills. Students with higher learning interest in the science subject tend to exhibit more significant improvement in critical thinking skills after participating in learning with smart water monitoring or the regular PBL model.



  • Abichandani, P., Sivakumar, V., Lobo, D., Iaboni, C., & Shekhar, P. (2022). Internet-of-things curriculum, pedagogy, and assessment for stem education: A review of literature. IEEE Access, 10, 38351–38369. https://doi.org/10.1109/ACCESS.2022.3164709
  • Aswan, D. M., Lufri, L., & Sumarmin, R. (2018). Influence of problem based learning on Critical Thinking skills and competence class VIII SMPN 1 Gunuang Omeh, 2016/2017. IOP Conference Series: Materials Science and Engineering, 335(1), 012128. https://doi.org/10.1088/1757-899X/335/1/012128
  • Asyari, M., Al Muhdhar, M. H. I., Susilo, H., & Ibrohim, A. (2016). Improving critical thinking skills through the integration of problem based learning and group investigation. International Journal for Lesson and Learning Studies, 5(1), 36–44. https://doi.org/10.1108/IJLLS-10-2014-0042
  • Bailin, S. (2002). Critical thinking and science education. Science & Education, 11, 361–375. https://doi.org/10.1023/A:1016042608621
  • Benita, F., Virupaksha, D., Wilhelm, E., & Tunçer, B. (2021). A smart learning ecosystem design for delivering Data-driven Thinking in STEM education. Smart Learning Environments, 8, 1–20. https://doi.org/10.1186/s40561-021-00153-y
  • Bhardwaj, A., Dagar, V., Khan, M. O., Aggarwal, A., Alvarado, R., Kumar, M., Irfan, M., & Proshad, R. (2022). Smart IoT and machine learning-based framework for water quality assessment and device component monitoring. Environmental Science and Pollution Research, 29(30), 46018–46036. https://doi.org/10.1007/s11356-022-19014-3
  • Cardon, P. L., Kinczkowski, L., & Speelman, P. (2022). Problem-based learning. Technology and Engineering Teacher, 81(7), 8–11.
  • de Camargo, E. T., Spanhol, F. A., Slongo, J. S., da Silva, M. V. R., Pazinato, J., de Lima Lobo, A. V., Coutinho, F. R., Pfrimer, F. W. D., Lindino, C. A., & Oyamada, M. S. (2023). Low-cost water quality sensors for IoT: A systematic review. Sensors, 23(9), 4424. https://doi.org/10.3390/s23094424
  • Dong, A., Jong, M. S.-Y., & King, R. B. (2020). How does prior knowledge influence learning engagement? The mediating roles of cognitive load and help-seeking. Frontiers in Psychology, 11, 591203. https://doi.org/10.3389/fpsyg.2020.591203
  • Glaroudis, D., Iossifides, A., Spyropoulou, N., Zaharakis, I. D., & Kameas, A. D. (2019). STEM learning and career orientation via IoT hands-on activities in secondary education. In T Nozawa (Ed.), IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 480–485). IEEE. https://doi.org/10.1109/PERCOMW.2019.8730759
  • Gokhale, A., & Machina, K. (2018). Guided online group discussion enhances student critical thinking skills. International Journal on E-Learning, 17(2), 157-173.
  • Gómez, J., Huete, J. F., Hoyos, O., Perez, L., & Grigori, D. (2013). Interaction system based on internet of things as support for education. Procedia Computer Science, 21, 132–139. https://doi.org/10.1016/j.procs.2013.09.019
  • Gómez, R. L., & Suárez, A. M. (2020). Do inquiry-based teaching and school climate influence science achievement and critical thinking? Evidence from PISA 2015. International Journal of STEM Education, 7(1), 1–11. https://doi.org/10.1186/s40594-020-00240-5
  • Gunn, T. M., Grigg, L. M., & Pomahac, G. A. (2008). Critical thinking in science education: Can bioethical issues and questioning strategies increase scientific understandings? Journal of Educational Thought, 42(2), 165–183.
  • Haatainen, O., & Aksela, M. (2021). Project-Based Learning in Integrated Science Education: Active Teachers’ Perceptions and Practices. International Journal on Math, Science and Technology Education, 9(1), 149–173. https://doi.org/10.31129/LUMAT.9.1.1392
  • Hussin, W., Harun, J., & Shukor, N. A. (2018). Problem based learning to enhance students critical thinking skills via online tools. Asian Social Science, 15(1), 14. https://doi.org/10.5539/ass.v15n1p14
  • Jan, F., Min-Allah, N., & Düştegör, D. (2021). Iot based smart water quality monitoring: Recent techniques, trends and challenges for domestic applications. Water, 13(13), 1729. https://doi.org/10.3390/w13131729
  • Joko, J., Putra, A. A. P., & Isnawan, B. H. (2023). Implementation of IoT-based human machine interface-learning media and problem-based learning to increase students’ abilities, skills, and innovative behaviors of Industry 4.0 and Society 5.0. TEM Journal, 12(1), 200-207. https://doi.org/10.18421/TEM121-26
  • Kassab, M., DeFranco, J., & Laplante, P. (2020). A systematic literature review on internet of things in education: Benefits and challenges. Journal of Computer Assisted Learning, 36(2), 115–127. https://doi.org/10.1111/jcal.12383
  • Maenpaa, H., Varjonen, S., Hellas, A., Tarkoma, S., & Mannisto, T. (2017). Assessing IOT projects in university education-A framework for problem-based learning. In T. T. Ball (Ed.), IEEE/ACM 39th International Conference on Software Engineering: Software Engineering and Education Training Track (pp. 37-46). IEEE. https://doi.org/10.1109/ICSE-SEET.2017.6
  • Markula, A., & Aksela, M. (2022). The key characteristics of project-based learning: how teachers implement projects in K-12 science education. Disciplinary and Interdisciplinary Science Education Research, 4(1), 1–17. https://doi.org/10.1186/s43031-021-00042-x
  • Miller, M., Kisiel, A., Cembrowska-Lech, D., Durlik, I., & Miller, T. (2023). IoT in water quality monitoring—are we really here? Sensors, 23(2), 960. https://doi.org/10.3390/s23020960
  • Oberascher, M., Kinzel, C., Kastlunger, U., Schöpf, M., Grimm, K., Plaiasu, D., Rauch, W., & Sitzenfrei, R. (2022). Smart water campus–a testbed for smart water applications. Water Science & Technology, 86(11), 2834–2847. https://doi.org/10.2166/wst.2022.369
  • Santos, L. F. (2017). The role of critical thinking in science education. Journal of Education and Practice, 8(20), 160–173.
  • Singh, M., & Ahmed, S. (2021). IoT based smart water management systems: A systematic review. Materials Today: Proceedings, 46, 5211–5218. https://doi.org/10.1016/j.matpr.2020.08.588
  • Sulisworo, D., Fitrianawati, M., Subrata, A. C., Kalid, K. S., Ahmad, W. F. W., & Amar, M. S. S. (2022). Designing IoT-based Smart Weather System to Promote Critical Thinking Skills. TEM Journal, 11(2), 791. https://doi.org/10.18421/TEM112-36
  • Yu, L., & Zin, Z. M. (2023). The critical thinking-oriented adaptations of problem-based learning models: a systematic review. Frontiers in Education, 8, 1139987. https://doi.org/10.3389/feduc.2023.1139987
  • Yuan, H., Kunaviktikul, W., Klunklin, A., & Williams, B. A. (2008). Promoting critical thinking skills through problem-based learning. Journal of Social Sciences and Human, 2(2), 85–99.
  • Zabit, M. N. M. (2010). Problem-based learning on students critical thinking skills in teaching business education in Malaysia: A literature review. American Journal of Business Education (AJBE), 3(6), 19–32. https://doi.org/10.19030/ajbe.v3i6.436


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