Enhancing Hydrologic Modeling Skills of Hydraulic and Water Resources Engineering Students through Interactive Simulation Software: A Case Study at Wolkite University
Keywords:
Hydrologic Modeling, Interactive Simulation Software, HECH-GEOHMS, HECH-HMS, Engineering Education, Skill Enhancement, Water Resources, Action Research, Student EngagementAbstract
This research investigates the enhancement of hydrologic modeling skills of hydraulic and water resources engineering (HWRE) students at Wolkite University through the use of interactive simulation software. A total of seventeen students were participated, which comprised two females and fifteen male students. The study also tried to include twelve lecturers, comprising three female and nine male lecturers. Both primary and secondary data were collected to assess skill levels and identify gaps in knowledge.
Questionnaires were designed for both students and lecturers, focusing on existing competencies, teaching methodologies, and software usage experiences. The researchers conducted targeted training sessions mainly on two key software tools, which are HECH-GEOHMS (Hydraulic Engineering Center for Hydrology-Geospatial Hydrologic Modeling System) and HECH-HMS (Hydrologic Modeling System). The training program comprised hands-on software that allowed students to engage with real-world scenarios, thereby enhancing their understanding of hydrologic processes and modeling techniques. Pre- and post-training assessments demonstrated a significant increase in the students' proficiency in using the software, as well as their confidence in applying hydrologic modeling concepts. Results indicate that students exhibited drastic positive changes in skill levels, with an average improvement of over 80% in their ability to apply hydrologic modeling techniques effectively. The student’s improvement in hydrologic modeling skills was also evaluated by exam, desk observations, and project work. This research underscores the importance of interactive learning tools in engineering education and recommends further integration of simulation software into the curriculum. By bridging the gap between theoretical knowledge and practical application, this study contributes to the preparation of future engineers equipped to tackle real-world water resource challenges. Future research can explore long-term impacts on student career readiness and the potential for similar training programs in other engineering disciplines.
References
[1]. Baker, D. J., & et al. (2015). The impact of simulation technology on learning outcomes in engineering education. Journal of Engineering Education, 104(2), 142-161.
[2]. Baker, R. S., & Goel, A. (2018). The challenges of incorporating simulation software in engineering curricula. Journal of Engineering Education, 107(4), 559-579.
[3]. Barak, M., & Dori, Y. J. (2005). Enhancing undergraduate students' chemistry understanding through modeling. Journal of Chemical Education, 82(1), 153-158.
[4]. Beers, S. Z., & Miro, J. (2018). Interdisciplinary Learning in Engineering Education: A Review of the Literature. International Journal of Engineering Education, 34(4), 947-958.
[5]. Beven, K. J. (2001). Rainfall-runoff modeling: The challenge of nonlinear response. Hydrological Processes, 15(7), 1305-1308.
[6]. Chung, G. K. W. K., Toh, Y. R., & Yew, S. K. (2018). Enhancing student learning through interactive simulations in engineering education. International Journal of Engineering Education, 34(3), 1095-1107.
[7]. Dori, Y. J., & Barak, M. (2009). Engineering education: A holistic approach to learning. Journal of Engineering Education, 98(3), 241-252.
[8]. Finkelstein, N. D., Adams, W. K., & Keller, J. (2005). When learning about the real world is better done virtually: A study of student learning in a fluid dynamics course. Physics Education Research, 1(1), 1-16.
[9]. Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Wenderoth, M. P., & Dirks, C. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.
[10]. Froyd, J. E., & Simpson, N. (2008). Evidence for the Effectiveness of Active Learning in Engineering Education. Journal of Engineering Education, 97(3), 169-185.
[11]. Gikandi, J. W., Morrow, D., & Davis, N. E. (2011). Online formative assessment in higher education: A review of the literature. Computers & Education, 57(4), 2333-2351.
[12]. Gonzalez, M., Mendez, A., & Lazo, J. (2020). The impact of simulation-based learning on student understanding of hydrological concepts. Journal of Hydrology, 580, 124258.
[13]. Hattie, J. (2009). Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement. Routledge.
[14]. Hegarty, M. (2004). The cognitive science of 3D graphics: A review of the literature. Psychonomic Bulletin & Review, 11(4), 634-648.
[15]. Hwang, G. J., Wu, P. H., & Chen, C. H. (2013). An online collaborative learning environment for enhancing students’ problem-solving skills in hydrology. Educational Technology & Society, 16(1), 118-129.
[16]. Hwang, G. J., Wu, P. H., & Chen, C. Y. (2016). Facilitating and bridging the gap between formal and informal learning through mobile technologies. Computers & Education, 95, 119-128.
[17]. Kauffman, D., et al. (2016). Evaluating the educational impact of simulation software in civil engineering. Journal of Professional Issues in Engineering Education and Practice, 142(2), 04015012.
[18]. Kim, S. Y., et al. (2014). The effects of a web-based simulation tool on learning outcomes in an engineering course. International Journal of Engineering Education, 30(4), 1034-1042.
[19]. Kolb, D. A. (1984). Experiential Learning: Experience as the Source of Learning and Development. Prentice Hall.
[20]. Krajcik, J. S., et al. (2008). The role of technology in supporting inquiry-based science education. Educational Technology Research and Development, 56(4), 445-463.
[21]. Kumar, A., Jain, A., & Singh, R. (2019). Hydrologic modeling in engineering education: A review. Water Resources Management, 33(9), 3273-3289.
[22]. Mays, L. W. (2005). Water Resources Engineering. Hoboken, NJ: John Wiley & Sons.
[23]. Miller, G. R., et al. (2014). The role of simulation in engineering education: A review. Journal of Engineering Education, 103(1), 1-17.
[24]. Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231.
[25]. Rakes, T. A., Valentine, J. C., & McGowan, J. (2016). The impact of instructional technology on student achievement in engineering education. Journal of Engineering Education, 105(3), 317-334.
[26]. Remote Sensing | Space4Water Portal
[27]. Singh, V. P. (1995). Elementary Hydrology. Prentice Hall.
[28]. Twenty-Five Years of Hydroinformatics
[29]. University of Wisconsin-Madison | Infusing Real World Experiences into Engineering Education | The National Academies Press
[30]. Zawadzki, M. (2017). The impact of simulation software on students’ understanding of water resources engineering. Water, 9(3), 198.
[31]. Delaigue, O., Brigode, P., Thirel, G., and Coron, L.: airGRteaching: an open-source tool for teaching hydrological modeling with R, Hydrol. Earth Syst. Sci., 27, 3293–3327, https://doi.org/10.5194/hess-27-3293-2023, 2023.
[32]. Singh, V.P. Hydrologic modeling: progress and future directions. Geosci. Lett. 5, 15 (2018). https://doi.org/10.1186/s40562-018-0113-z
[33]. Merck, M.F., Gallagher, M.A., Habib, E. et al. Engineering Students’ Perceptions of Mathematical Modeling in a Learning Module Centered on a Hydrologic Design Case Study. Int. J. Res. Undergrad. Math. Ed. 7, 351–377 (2021). https://doi.org/10.1007/s40753-020-00131-8
[34]. Tartakovsky, Daniel M. "Assessment and management of risk in subsurface hydrology: A review and perspective." Advances in Water Resources 51 (2013): 247-260.
[35]. Pathak, Chandra S., et al. "Uncertainty analyses in hydrologic/hydraulic modeling: Challenges and proposed resolutions." Journal of Hydrologic Engineering 20.10 (2015): 02515003.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Formal Sciences: Current and Future Research Trends

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who submit papers with this journal agree to the following terms.