Development of Technology Design Skills with Mobile Robots for High School Students
Development of Technology Design Skills with Mobile Robots for High School Students |
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© 2023 by IJETT Journal | ||
Volume-71 Issue-2 |
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Year of Publication : 2023 | ||
Author : Chawisorn Samrit, Narongsak Tirasuntarakul, Orapadee Joochim |
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DOI : 10.14445/22315381/IJETT-V71I2P225 |
How to Cite?
Chawisorn Samrit, Narongsak Tirasuntarakul, Orapadee Joochim, "Development of Technology Design Skills with Mobile Robots for High School Students," International Journal of Engineering Trends and Technology, vol. 71, no. 2, pp. 220-227, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I2P225
Abstract
This research focuses on studying environmental problems that affect the learning skills of robotics and automation in technology design. These skills are in high demand in the 21st century. Under the online learning measure, the learners had different knowledge bases and did not know each other. The learners are high school students in Thailand. They are divided into 4 groups. Project-based learning and Problem-based learning are applied to learning management with a case study of mobile robots in different environments. The students are required to design the robots in 3 fields: 1) Movement Mechanism and Structure, 2) Electrical Circuits for Perception and Movement, and 3) Robot Control Programming. In addition, students must design functionalities that serve exploration or industrial purposes, which characterize the designed robots that are practical. The learning system is designed in 9 steps starting from dissolving the learner’s behaviors until acquiring the robots that can be used. The results of this study can summarize the environmental factors affecting learning management in 3 aspects, 1) learning equipment, 2) development of the learner’s knowledge bases, and 3) methods of learning skills in robotics and automation. The results of this paper can be used as a guideline to enhance skills in robotics and automation that are in high demand today.
Keywords
Problem-based learning, Project-based learning, Technology design skill, Mobile robot, High school student.
References
[1] World Economic Forum, The Future of Jobs Report 2020. [Online]. Available: https://www.weforum.org/reports/the-future-of-jobsreport-2020/?DAG=3&gclid=Cj0KCQiA6LyfBhC3ARIsAG4gkF-JI8nDlb0cf2qq-1ANVG_t2MJ5a8ccp99DeR2D-hbIfUn7rH5EwMaAnVaEALw_wcB
[2] Hussain A. Younis et al., “Survey of Robotics in Education, Taxonomy, Applications, and Platforms during COVID-9,” Computers, Materials & Continua, vol. 67, no. 1, pp. 687-707, 2021. Crossref, http://dx.doi.org/10.32604/cmc.2021.013746
[3] Gaaitzen J. de Vries et al., “The Rise of Robots and The Fall of Routine Jobs,” Labour Economics, vol. 66, p. 101885, 2020. Crossref, https://doi.org/10.1016/j.labeco.2020.101885
[4] Natalia Shmatko, and Galina Volkova, “Bridging the Skill Gap in Robotics: Global and National Environment,” SAGE Open, vol. 10, no. 3, 2020. Crossref, https://doi.org/10.1177/2158244020958736
[5] Woei Hung, “The 3C3R Model: A Conceptual Framework for Designing Problems in PBL,” Interdisciplinary Journal of Problem-based Learning, vol. 1, no. 1, pp. 55-77, 2006. Crossref, https://doi.org/10.7771/1541-5015.1006
[6] Heinz Neber, and Birgit J. Neuhaus, “Creativity and Problem-Based Learning (PBL): A Neglected Relation,” Creativity, Talent and Excellence, A.-G. Tan, ed., pp. 43-56, Singapore: Springer Singapore, 2013. Crossref, https://doi.org/10.1007/978-981-4021-93-7_4
[7] Marlon N. Fulgencio, and April Mercy Lapuz, “Improving the Critical Thinking Skills of Secondary School Students using ProblemBased Learning,” International Journal of Academic Multidisciplinary Research, vol. 4, no. 1, pp. 1-7, 2020.
[8] Andrew A. Tawfik, and Christopher Lilly, “Using a Flipped Classroom Approach to Support Problem-Based Learning,” Technology, Knowledge and Learning, vol. 20, pp. 299-315, 2015. Crossref, https://doi.org/10.1007/s10758-015-9262-8
[9] Roisin Donnelly, “Harmonizing Technology with Interaction in Blended Problem-based Learning,” Computers & Education, vol. 54, no. 2, pp. 350-359, 2010. Crossref, https://doi.org/10.1016/j.compedu.2009.08.012
[10] Francisco Rubio, Francisco Valero, and Carlos Llopis-Albert, “A Review of Mobile Robots: Concepts, Methods, Theoretical Framework, and Applications,” International Journal of Advanced Robotic Systems, vol. 16, no. 2, 2019. Crossref, https://doi.org/10.1177/1729881419839596
[11] Ronald Siegwart, and Illah R. Nourbakhsh, Introduction to Autonomous Mobile Robots, Massachusetts London, England: A Bradford Book, The MIT Press Cambridge, 2004.
[12] Chau Thanh Phuong, “Control Multi-Directional Mobile Robot Based on DDPG Intelligent Algorithm Application,” SSRG International Journal of Electronics and Communication Engineering, vol. 8, no. 1, pp. 18-23, 2021. Crossref, https://doi.org/10.14445/23488549/IJECE-V8I1P104
[13] Jackie O'Kelly, and J. Paul Gibson, “RoboCode & Problem-based Learning: A Non-prescriptive Approach to Teaching Programming,” 11th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2006. Crossref, http://dx.doi.org/10.1145/1140124.1140182
[14] Raquel Lacuesta, Guillermo Palacios, and Luis Fernández, “Active Learning through Problem Based Learning Methodology in Engineering Education,” 39th IEEE Frontiers in Education Conference, pp. 1-6, 2009. Crossref, https://doi.org/10.1109/FIE.2009.5350502
[15] Shota Nakashima et al., “Application of Ultrasonic Sensors in Road Surface Condition Distinction Methods,” Sensors, vol. 16, no. 10, p. 1678, 2016. Crossref, https://doi.org/10.3390/s16101678
[16] Abdulgani Albagul, A. Asseni, and Othman Omran Khalifa, “Wall Climbing Robot: Mechanical Design and Implementation,” Recent Advances in Circuits, Systems, Signal and Telecommunications, 2011.
[17] Nguyen Duc Dien et al., “Building Environmental Awareness System for Mobile Robot Operating in Indoor Environment on ROS Platform,” SSRG International Journal of Electrical and Electronics Engineering, vol. 8, no. 1, pp. 32-36, 2021. Crossref, https://doi.org/10.14445/23488379/IJEEE-V8I1P106
[18] Tsang-Hsiung Lee, Pei-Di Shen, and Chia-Wen Tsai, “Enhancing Computing Skills of Low-Achieving Students via E-Learning: A Design Experiment of Web-Based, Problem-Based Learning and Self-Regulated Learning,” Cyberpsychology & Behavior: The Impact of the Internet, Multimedia and Virtual Reality on Behavior and Society, vol. 11, no. 4, pp. 431-436, 2008. Crossref, http://dx.doi.org/10.1089/cpb.2007.0080
[19] Hui-Chuan Chu et al., “Development of an Adaptive Learning Case Recommendation Approach for Problem-based e-Learning on Mathematics Teaching for Students with Mild Disabilities,” Expert Systems with Applications, vol. 36, no. 3, pp. 5456-5468, 2009. Crossref, https://doi.org/10.1016/j.eswa.2008.06.140
[20] Kishan Panchal, Chirag Vyas, and Dhaval Patel, “Design & Develop the Prototype of Wall Climbing Robot,” International Journal of Advance Engineering and Research Development, vol. 1, no. 3, 2014.
[21] Roan Van Hoa, Nguyen Duc Dien, and Lai Khac Lai, “Research and Apply Deep Reinforcement Learning Technology to Control Mobile Robot,” SSRG International Journal of Electrical and Electronics Engineering, vol. 8, no. 4, pp. 30-35, 2021. Crossref, https://doi.org/10.14445/23488379/IJEEE-V8I4P106
[22] Gerardo Bledt et al., “MIT Cheetah 3: Design and Control of a Robust, Dynamic Quadruped Robot,” 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, pp. 2245-2252, 2018. Crossref, https://doi.org/10.1109/IROS.2018.8593885
[23] Nguyen Thi Thu Huong, “Building Intelligent Navigation System for Mobile Robots Based on the SARSA Algorithm,” SSRG International Journal of Electrical and Electronics Engineering, vol. 8, no. 4, pp. 19-24, 2021. Crossref, https://doi.org/10.14445/23488379/IJEEE-V8I4P104
[24] Elisa Tosello, Nicola Castaman, and Emanuele Menegatti, “Using Robotics to Train Students for Industry 4.0,” IFAC-PapersOnLine, vol. 52, no. 9, pp. 153-158, 2019. Crossref, https://doi.org/10.1016/j.ifacol.2019.08.185
[25] Peng Liang et al., “Design and Stability Analysis of a Wall-Climbing Robot Using Propulsive Force of Propeller,” Symmetry, vol. 13, no. 1, p. 37, 2021. Crossref, https://doi.org/10.3390/sym13010037
[26] Arman Hadi Azhar et al., “E-Transform: Development of an Electronic Educational Quiz Board for Learning High-School’s Mathematical Transformation,” International Journal of Engineering Trends and Technology, vol. 69, no. 5, pp. 128-132, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I5P218
[27] Roan Van Hoa, L. K. Lai, and Le Thi Hoan, “Mobile Robot Navigation Using Deep Reinforcement Learning in Unknown Environments,” SSRG International Journal of Electrical and Electronics Engineering, vol. 7, no. 8, pp. 15-20, 2020. Crossref, https://doi.org/10.14445/23488379/IJEEE-V7I8P104
[28] Lorin W. Anderson, and David R. Krathwohl, A Taxonomy for Learning, Teaching and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives: Complete Edition, New York: Longman, 2001.
[29] M. Cline, and G. J. Powers, “Problem Based Learning via Open Ended Projects in Carnegie Mellon University's Chemical Engineering Undergraduate Laboratory,” Proceedings Frontiers in Education 1997 27th Annual Conference, Teaching and Learning in an Era of Change, Pittsburgh, PA, USA, vol. 1, pp. 350-354, 1997. Crossref, https://doi.org/10.1109/FIE.1997.644901
[30] Adnan Shujah et al., “Design and Implementation of Semi-Autonomous Wall Climbing Robot Using Vacuum Suction Adhesion,” 2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics, pp. 275-280, 2019. Crossref, https://doi.org/10.1109/SAMI.2019.8782720