Research article Special Issues

Developing students' cognitive skills in MMS classes


  • Received: 19 December 2022 Revised: 28 February 2023 Accepted: 06 March 2023 Published: 27 March 2023
  • Modern engineers face the challenges of complexity, uncertainty and ambiguity as three fundamental aspects of post-industrial technology. Hence, meta-subjective cognitive skills, critical thinking and creativity become no less important than professional knowledge acquired in vocational training. The better conditions for the development of these skills can be found if a contextual approach in teaching/learning is incorporated into the engineering curriculum. The article discusses the strategies for involving students in active learning activities while studying Mechanism and Machine Science (MMS) and developing students' cognitive competencies and metacognitive skills. Following the contextual approach, one can find that the simulation of mechanisms and the use of virtual labs form a powerful methodology to help learners better understand theory concepts. They provide students with a means of deeper numerical analysis and stimulate independent learning activity. Simulation and modeling of MMS products contribute greatly in students' comprehension of kinematics and dynamics of mechanisms. Another milestone of contextual approach is a creative problem-based learning that has been shown to be effective in education. However, creative problem-based learning is not in a focus of MMS courses yet. Brainstorming, TRIZ (theory of inventive problem solving, it sometimes occasionally goes by the English acronym TIPS), Synectics, and other creative problem-solving methods can be adapted for the active MMS learning. The article suggests the adaptation of SCAMPER, a method for solving several problems concerning structural analysis, kinematics, and gear trains.

    Citation: Eduard Krylov, Sergey Devyaterikov. Developing students' cognitive skills in MMS classes[J]. STEM Education, 2023, 3(1): 28-42. doi: 10.3934/steme.2023003

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  • Modern engineers face the challenges of complexity, uncertainty and ambiguity as three fundamental aspects of post-industrial technology. Hence, meta-subjective cognitive skills, critical thinking and creativity become no less important than professional knowledge acquired in vocational training. The better conditions for the development of these skills can be found if a contextual approach in teaching/learning is incorporated into the engineering curriculum. The article discusses the strategies for involving students in active learning activities while studying Mechanism and Machine Science (MMS) and developing students' cognitive competencies and metacognitive skills. Following the contextual approach, one can find that the simulation of mechanisms and the use of virtual labs form a powerful methodology to help learners better understand theory concepts. They provide students with a means of deeper numerical analysis and stimulate independent learning activity. Simulation and modeling of MMS products contribute greatly in students' comprehension of kinematics and dynamics of mechanisms. Another milestone of contextual approach is a creative problem-based learning that has been shown to be effective in education. However, creative problem-based learning is not in a focus of MMS courses yet. Brainstorming, TRIZ (theory of inventive problem solving, it sometimes occasionally goes by the English acronym TIPS), Synectics, and other creative problem-solving methods can be adapted for the active MMS learning. The article suggests the adaptation of SCAMPER, a method for solving several problems concerning structural analysis, kinematics, and gear trains.



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    [1] Kastenberg, W.E., Hauser-Kastenberg, G. and Norris, D., An Approach to Undergraduate Engineering Education for the 21st Century. 36th ASEE/IEEE Frontiers in Education Conference. October 28 – 31, 2006, San Diego, CA, Institute of Electrical and Electronics Engineers (IEEE), 1497–1502. https://doi.org/10.1109/FIE.2006.322502
    [2] Rugarcia, A., Felder, R., Woods, D.R. and Stice, J.E., The future of engineering education: Part 1. A vision for a new century. Chemical Engineering Education, 2000, 34: 16–25.
    [3] Barlow, A., Brown, S., Lutz, B., Pitterson, N., Hunsu, N. and Adesope, O., Development of the student course cognitive engagement instrument (SCCEI) for college engineering courses. IJ STEM Ed, 2020, 7(1): 1–20. https://doi.org/10.1186/s40594-020-00220-9 doi: 10.1186/s40594-019-0200-5
    [4] Rao, K., Nuggenahalli, N. and Ashwini, B., Emphasis on the Cognitive Framework in Teaching - Learning Process in Engineering Education: An Empirical Overview. Journal of Engineering Education Transformations, 2015,175–181. https://doi.org/10.16920/ijerit/2015/v0i0/59354
    [5] Frank, M., Engineering systems thinking: Cognitive competencies of successful systems engineers. Procedia Computer Science, 2012, 8: 273–278. https://doi.org/10.1016/j.procs.2012.01.057 doi: 10.1016/j.procs.2012.01.057
    [6] Greene, M. and Papalambros, P.Y., A cognitive framework for engineering systems thinking. Proceedings of Conference on Systems Engineering Research, 2016.
    [7] Daly, S.R., Mosyjowski, E.A. and Seifert, C.M., Teaching Creativity in Engineering Courses. Journal of Engineering Education, 2014,103(3): 417–449. https://doi.org/10.1002/jee.20048 doi: 10.1002/jee.20048
    [8] Macho, E., Urízar, M., Petuya, V. and Hernández, A., Improving Skills in Mechanism and Machine Science Using GIM Software. Appl Sci, 2021, 11: 7850. https://doi.org/10.3390/app11177850 doi: 10.3390/app11177850
    [9] Suñer, J.L. and Carballeira, J., Enhancing Mechanism and Machine Science Learning by Creating Virtual Labs with ADAMS. In New Trends in Educational Activity in the Field of Mechanism and Machine Theory; García-Prada, J.C., Castejón, C., Eds. Springer: Berlin/Heidelberg, Germany, 2014,221–228. https://doi.org/10.1007/978-3-319-01836-2_24
    [10] Lumsdaine, M. and Lumsdaine, E., Thinking Preferences of Engineering Students: Implications for Curriculum Restructuring. Journal of Engineering Education, 1995, 84(2): 193–204. https://doi.org/10.1002/j.2168-9830.1995.tb00166.x doi: 10.1002/j.2168-9830.1995.tb00166.x
    [11] Ceccarelli, M. and Cocconcelli, M., Italian Historical Developments of Teaching and Museum Valorization of Mechanism Models. Machines, 2022, 10(8): 628. https://doi.org/10.3390/machines10080628 doi: 10.3390/machines10080628
    [12] Thaddaeus, J., Synthesis and Dynamic Simulation of an Offset Slider-Crank Mechanism. International Journal of Scientific & Engineering Research, 2016, 7(10): 1842–1852.
    [13] Patel, K. and Verma, A., Analysis of spatial mechanism in dynamic equilibrium condition using MATLAB. International Journal of Engineering Science and Technology, 2011, 3(2): 1344–1350.
    [14] Kosenok, B., Balyakin, V. and Krylov, E., Method of Closed Vector Contours for Teaching/Learning MMS. In: García-Prada J., Castejón C. (eds) New Trends in Educational Activity in the Field of Mechanism and Machine Theory. Mechanisms and Machine Science, 2019, 3–10. Springer: Berlin/Heidelberg, Germany. https://doi.org/10.1007/978-3-030-00108-7_1
    [15] Kosenok, B., Balyakin, V. and Krylov, E., Dimensional Synthesis of a Cam Profile using the Method of Closed Vector Contours in the Theory of Machine and Mechanism Study Course. Mechanisms and Machine Science (book series), 2019,753–763. https://doi.org/10.1007/978-3-030-20131-9_75 doi: 10.1007/978-3-030-20131-9_75
    [16] Kosenok, B., Balyakin, V. and Krylov, E., Method of Vector Closed Contours in Design Problems of Study Course "Internal Combustion Engines: Kinematics and Dynamics. Mechanisms and Machine Science (book series), 2019,775–784. https://doi.org/10.1007/978-3-030-20131-9_77 doi: 10.1007/978-3-030-20131-9_77
    [17] Hung, W., Cultivating creative problem solvers: the PBL style. Asia Pacific Education Review, 2015, 16: 237–246. https://doi.org/10.1007/s12564-015-9368-7 doi: 10.1007/s12564-015-9368-7
    [18] Sweller, J., Clark, R.E. and Kirschner, P.A., Teaching general problem solving does not lead to mathematical skills or knowledge. Newsletter of the European Mathematical Society, 2011, 3: 41–42.
    [19] Gijbels, D., Dochy, F., Van den Bossche, P. and Segers, M., Effects of problem-based learning: A meta-analysis from the angle of assessment. Review of Educational Research, 2005, 75: 27–61. https://doi.org/10.3102/00346543075001027 doi: 10.3102/00346543075001027
    [20] Savery, R.J., Overview of problem-based learning: Definitions and distinctions. Interdisciplinary Journal of Problembased Learning, 2006, 1(1): 9–20. https://doi.org/10.7771/1541-5015.1002 doi: 10.7771/1541-5015.1002
    [21] Perrenet, J.C., Bouhuijis, P.A. and Smits, J.G.M.M., The Suitability of Problem-based Learning for Engineering Education: theory and practice. Teaching in Higher Education, 2000, 5(33): 345–358. https://doi.org/10.1080/713699144 doi: 10.1080/713699144
    [22] Hunt, E., Lockwood-Cooke, P. and Kelley, J., Linked-Class Problem-Based Learning In Engineering: Method And Evaluation. American Journal of Engineering Education, 2010, 1(1): 79–88. https://doi.org/10.19030/ajee.v1i1.794 doi: 10.19030/ajee.v1i1.794
    [23] Balyakin, V., Krylov, E., Cultural and educational significance of MMS competitions for future engineers. In: García-Prada J., Castejón C. (eds) New Trends in Educational Activity in the Field of Mechanism and Machine Theory. Mechanisms and Machine Science, 2019, 64: 3–10. https://doi.org/10.1007/978-3-030-00108-7_5
    [24] Krylov, E.G., Devyaterikov, S.A., Gubert, A.V. and Egorova, O.V., SIOMMS: evolution and development. Mechanism and Machine Theory, 2020,153: 104029. https://doi.org/10.1016/j.mechmachtheory.2020.104029 doi: 10.1016/j.mechmachtheory.2020.104029
    [25] Serrat, O., The SCAMPER Technique, 2009. Available from: https://www.researchgate.net/publication/239823670_The_SCAMPER_Technique.
  • Author's biography Dr. Eduard Krylov is a professor of mechanics with Kalashnikov Izhevsk State Technical University, Russia. He is specialized in mechanics and engineering education. His research interests include dynamics of machinery. He is a deputy chair of IFToMM PC for education; Dr. Sergey Devyaterikov is an assistant professor of mechanics with Kalashnikov Izhevsk State Technical University, Russia. He is specialized in mechanics and engineering education. His research interests include synthesis of mechanisms. He is a member of Russian section of IFToMM
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