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The impact of robotics on STEM education: Facilitating cognitive and interdisciplinary advancements
- 1 Lyceum of the Philippines University, Metro Manila, Philippines
- 2 University of Southern California, Los Angeles USA
- 3 Universiti Sains Malaysia, Johor Bahru, Malaysia
- 4 University of Birmingham, Birmingham, United Kingdom
* Author to whom correspondence should be addressed.
Abstract
This paper investigates the transformative role of robotics in enhancing STEM education by improving cognitive skills, fostering interdisciplinary learning, and bridging the gap between theory and practice. Through the analysis of various educational settings, the study highlights the significant enhancements in students’ problem-solving abilities, engagement, and application of scientific principles via robotics. We present quantitative evidence and case studies that showcase the impact of robotics on boosting analytical skills, increasing student motivation, and enhancing practical knowledge application. The research underscores robotics as a critical educational tool, capable of adapting to diverse teaching environments and contributing to educational equity and innovation worldwide. This integration not only nurtures a deeper understanding of STEM fields but also prepares students for future challenges in a technologically advanced world.
Keywords
Robotics Education, STEM Integration, Cognitive Skills, Interdisciplinary Learning
[1]. Darmawansah, Darmawansah, et al. "Trends and research foci of robotics-based STEM education: a systematic review from diverse angles based on the technology-based learning model." International Journal of STEM Education 10.1 (2023): 12.
[2]. Canbeldek, Merve, and Nesrin Isikoglu. "Exploring the effects of “productive children: coding and robotics education program” in early childhood education." Education and Information Technologies 28.3 (2023): 3359-3379.
[3]. Chaka, Chaka. "Fourth industrial revolution—a review of applications, prospects, and challenges for artificial intelligence, robotics and blockchain in higher education." Research and Practice in Technology Enhanced Learning 18 (2023): 002-002.
[4]. Atman Uslu, Nilüfer, Gulay Öztüre Yavuz, and Yasemin Koçak Usluel. "A systematic review study on educational robotics and robots." Interactive Learning Environments 31.9 (2023): 5874-5898.
[5]. Kerimbayev, Nurassyl, et al. "Educational Robotics: Development of computational thinking in collaborative online learning." Education and Information Technologies 28.11 (2023): 14987-15009.
[6]. Khan, Mr Pathan Ahmed, and Dr MA Bari. "Impact Of Emergence With Robotics At Educational Institution And Emerging Challenges”." International Journal of Multidisciplinary Engineering in Current Research (IJMEC), ISSN (2023): 2456-4265.
[7]. Younis, Hussain A., et al. "A Systematic Literature Review on the Applications of Robots and Natural Language Processing in Education." Electronics 12.13 (2023): 2864.
[8]. Supriyadi, Agus, et al. "The Effectiveness of STEM-Integrated Blended Learning on Indonesia Student Scientific Literacy: A Meta-analysis." International Journal of Education and Literature 2.1 (2023): 41-48.
[9]. Assareh, Ehsanolah, et al. "Techno-economic analysis of combined cooling, heating, and power (CCHP) system integrated with multiple renewable energy sources and energy storage units." Energy and Buildings 278 (2023): 112618.
[10]. Bhagat, Sanjeev Kumar, et al. "Impact of PLL and virtual inertia on deregulated AGC system integrated with parallel AC/HVDC." IETE Journal of Research 69.5 (2023): 2514-2527.
[11]. Said, Ziad, Nasser Mansour, and Abdullah Abu-Tineh. "Integrating technology pedagogy and content knowledge in Qatar’s preparatory and secondary schools: The perceptions and practices of STEM teachers." EURASIA Journal of Mathematics, Science and Technology Education 19.6 (2023): em2271.
Cite this article
Zhang,D.;Wang,J.;Jing,Y.;Shen,A. (2024). The impact of robotics on STEM education: Facilitating cognitive and interdisciplinary advancements. Applied and Computational Engineering,69,7-12.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 6th International Conference on Computing and Data Science
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