The impact of robotics on STEM education: Facilitating cognitive and interdisciplinary advancements

Research Article
Open access

The impact of robotics on STEM education: Facilitating cognitive and interdisciplinary advancements

Deyu Zhang 1 , Jiawen Wang 2 , Yanbin Jing 3* , Ao Shen 4
  • 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    
  • *corresponding author 715271532@qq.com
ACE Vol.69
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-459-0
ISBN (Online): 978-1-83558-460-6

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

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.
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1. Introduction

In the evolving landscape of educational technologies, robotics emerges as a pivotal tool that profoundly reshapes the delivery and efficacy of STEM education. The incorporation of robotics into learning environments transcends traditional teaching methods by offering hands-on experiences and direct applications of theoretical knowledge, thereby enhancing student engagement and understanding of complex subjects. This paper explores the multifaceted impact of robotics on STEM education, emphasizing its role in cognitive skill enhancement, interdisciplinary learning, and the practical application of knowledge. Robotics education not only facilitates a more integrated understanding of science, technology, engineering, and mathematics but also promotes critical thinking, problem-solving, and creativity among students. Supported by empirical studies, this discussion delves into how robotics can bridge educational gaps and foster an equitable learning environment, adapting to various educational settings from urban to rural, and impacting students across different socio-economic backgrounds. The introduction of robotics in education is not merely about learning to program or operate machines; it is about cultivating a comprehensive skill set that encompasses both technical prowess and soft skills essential for success in the 21st century [1]. By examining the effects of robotics through quantitative data and qualitative analysis, this paper aims to highlight the indispensable role of robotics in modernizing educational practices and preparing students for the demands of a rapidly advancing technological world.

2. Impact on Learning Outcomes

2.1. Cognitive Skill Development

Incorporating robotics into educational systems has proven to be a highly effective strategy for enhancing a range of cognitive skills, particularly logical reasoning, problem-solving, and abstract thinking. The interactive and tactile nature of robotics compels students to translate theoretical concepts from STEM disciplines into practical, hands-on applications, thereby solidifying their understanding and retention of complex concepts. For instance, in a study involving middle school students participating in a robotics curriculum, pre-test and post-test assessments revealed a statistically significant improvement in their performance in math and science examinations. The improvement was measured using a control group that did not participate in robotics activities, and the experimental group showed a 15% higher performance on average in problem-solving tasks, as shown in Figure 1 [2]. This indicates not only enhanced cognitive capabilities but also suggests that engagement with robotics can facilitate deeper understanding of scientific principles through practical application. Furthermore, robotics requires the use of programming languages, which enhances computational thinking—a critical aspect of modern education that fosters problem-solving through the decomposition of problems into manageable parts, abstraction of problems, and algorithmic thinking to create solutions [3].

fig1

Figure 1. Impact of Robotics Curriculum on Student Test Scores

2.2. Engagement and Motivation

Robotics significantly boosts student engagement and motivation, particularly in the STEM fields, which are often viewed as rigorous and difficult. The integration of robotics into the curriculum transforms traditional classroom dynamics by introducing exciting, interactive, and tangible projects. For example, a longitudinal study conducted over a semester at a high school revealed that classes implementing robotics saw a 20% increase in student attendance and a 30% increase in active participation during class activities, compared to traditional science and math classes. This data was gathered through observational studies and surveys filled out by students, which consistently reported higher levels of interest and enjoyment when engaged in robotics-based learning. The motivational impact of robotics is further evidenced by its capacity to sustain student interest and engagement over longer periods, countering the typical decline in interest in science subjects as students advance through grades [4]. Robotics inherently promotes an active learning environment, with students more likely to engage not just physically but also intellectually and emotionally, thereby nurturing a positive attitude towards learning and a persistent curiosity about scientific inquiry.

2.3. Application of Knowledge

The application of robotics in education allows students to apply theoretical knowledge in real-world scenarios, effectively bridging the gap between abstract concepts and practical application. This experiential learning is critical in cementing scientific knowledge and enhancing student comprehension. For instance, in robotics projects, students are often required to calculate forces, motion, and trajectories, applying Newtonian physics in a practical context to solve real problems. An experimental study involving high school students demonstrated that those who applied physics concepts to design and optimize a robot's motion showed a significant improvement in their understanding of physics laws and principles, as evidenced by their performance in standard tests compared to a baseline measured before the robotics module. The study utilized a combination of quantitative assessments and qualitative feedback to evaluate student understanding, revealing that practical application through robotics not only reinforced theoretical knowledge but also enabled students to perform better in standardized tests [5]. Moreover, the iterative design process in robotics—where students design, test, and refine their robots—mirrors the scientific method, fostering a deep, experiential understanding of scientific experimentation and inquiry. This approach not only reinforces STEM education but also encourages a holistic and integrative understanding of how various scientific principles interplay in the real world.

3. Enhancement of Interdisciplinary Learning

3.1. Integration of STEM Disciplines

Robotics serves as a conduit for the integration of various STEM disciplines, fostering a comprehensive and interdisciplinary approach to learning. By engaging in robotics projects, students are required to apply and interlink knowledge from science, technology, engineering, and mathematics. For instance, a robotics project might require students to calculate the optimal gear ratio (mathematics), select materials based on strength and flexibility (engineering), program the robot to perform specific tasks (technology), and understand the physics of the robot's movements (science). This integrated approach is supported by quantitative studies where students engaged in robotics scored significantly higher in interdisciplinary assessments compared to their peers who studied the disciplines in isolation. These assessments evaluated students' ability to apply concepts across different STEM fields to solve complex problems, indicating a deeper understanding and ability to synthesize and apply knowledge in novel contexts [6]. Additionally, robotics as an interdisciplinary tool has been shown to help students make connections between theoretical knowledge and real-world applications, thereby deepening their understanding and appreciation of each discipline's role and relevance.

3.2. Innovation and Creativity

The inherently open-ended nature of robotics projects provides a fertile ground for innovation and creativity. Students are often given broad objectives such as designing a robot to navigate a maze autonomously or creating a robotic arm that can sort objects by color. These tasks require students to think creatively, as there is often no single correct answer or prescribed method to follow. This stimulates innovation as students hypothesize, experiment, and iterate on their designs. The effectiveness of this approach is evidenced in a study measuring the creativity levels of students engaged in robotics versus traditional learning environments [7]. The study utilized the Torrance Tests of Creative Thinking to quantify creativity, finding that students involved in robotics demonstrated a 25% increase in creativity scores, particularly in the fluency and originality of ideas. Furthermore, the iterative process inherent in robotics encourages a growth mindset, as students learn from failures and progressively refine their solutions, a key aspect of fostering creativity and innovative thinking in educational settings [8].

3.3. Collaboration Skills

Collaboration is integral to robotics projects, as they typically require teams of students to work together effectively. The collective effort to design, build, and program robots provides a practical framework for developing and enhancing teamwork skills. This collaborative process often involves role allocation, where students take on specific responsibilities such as coding, mechanical design, or project management. Such dynamics are crucial for fostering soft skills like communication, conflict resolution, and cooperative problem-solving [9]. Quantitative data from peer-reviewed studies show that students who participate in collaborative robotics projects improve their communication skills by 40% as measured by their ability to articulate project goals, delegate tasks, and synthesize group input into coherent project outcomes, as shown in Table 1. Moreover, the need for constant interaction and coordination among team members enhances their interpersonal skills and prepares them for complex, multi-disciplinary teamwork in their future careers.

Table 1. Improvement in Collaboration Skills through Robotics Projects

Skill Type

Pre-Robotics (%)

Post-Robotics (%)

Improvement (%)

Communication

58

98

40

Conflict Resolution

60

98

38

Problem Solving

60

93

33

Project Management

64

97

33

4. Effectiveness of Robotics in Real-World Problem Solving

4.1. Analytical Skills Enhancement

fig2

Figure 2. Improvement in Analytical Test Scores After Robotics Module

Introducing robotics into educational settings fundamentally transforms how students approach problem-solving, significantly enhancing their analytical skills. In robotics projects, students are often tasked with designing algorithms to enable a robot to navigate through various environments or solve specific tasks such as sorting or assembling items. This necessitates a detailed decomposition of the problem, where students must discern the relevant variables, define logical sequences, and foresee potential issues, enhancing their analytical and critical thinking skills. For instance, a study involving high school students designing a robot to solve mazes showed a notable increase in their ability to use abstract reasoning and deductive logic, as measured by standardized analytical assessments before and after the robotics module [10]. The complexity of these tasks requires students to apply advanced analytical methods, often incorporating elements of calculus and physics to predict and enhance robot performance. In Figure 2, quantitative analysis through controlled experiments has demonstrated a consistent 30% improvement in analytical test scores among students engaged with robotics, compared to traditional learning methods. Moreover, the real-world application of these skills, as evidenced in robotics competitions and practical implementations, further validates the effectiveness of robotics in enhancing analytical capabilities, preparing students for complex problem-solving in academic and professional settings.

4.2. Real-Time Feedback and Iterative Learning

The dynamic nature of robotics allows for an iterative learning process that is pivotal in educational settings. As students program robots and test their functionalities, they receive immediate feedback through the robot's responses or failures, which is critical for learning and adaptation. This real-time feedback enables students to rapidly hypothesize, test, and refine their assumptions and designs. A study tracking the learning progression of university students in a robotics course revealed that the iterative cycle—design, test, analyze, and revise—significantly enhanced students' learning outcomes. The study utilized statistical models to correlate the number of iterations with student performance in subsequent robotics tasks, demonstrating a strong positive relationship. Specifically, each additional iteration cycle was associated with an increase in students' scores on subsequent assessments by approximately 5%. This iterative process not only reinforces the learning material but also fosters a deeper understanding of the scientific principles involved, as students see the immediate implications of their programming and mechanical adjustments [11]. Furthermore, this approach aligns with the principles of experiential learning, where knowledge is constructed through active engagement and reflective practice, making robotics an ideal tool for effective STEM education.

4.3. Application in Diverse Educational Settings

Robotics has proven to be a versatile and effective educational tool across various learning environments and demographic contexts. The adaptability of robotics education has been demonstrated through its successful implementation in diverse settings ranging from urban schools in developed countries to remote educational institutions in developing regions. A comparative study involving the integration of robotics in different educational settings analyzed the impact on student engagement and learning outcomes. The study used a mixed-method approach, combining quantitative assessments of student performance with qualitative interviews and observations. Findings indicated that students in both high-resource and low-resource environments exhibited significant improvements in STEM competencies and a greater interest in continuing STEM education. Notably, in under-resourced schools, robotics helped mitigate disparities in educational opportunities, providing students with hands-on experiences that were otherwise unavailable. The effectiveness of robotics in these diverse contexts is attributed to its hands-on nature and the universal appeal of technology, which resonates with students across various age groups and cultural backgrounds. This broad applicability not only highlights the inclusivity of robotics as a teaching tool but also its potential to act as a catalyst for educational equity and innovation worldwide.

5. Conclusion

Robotics has proven to be more than just a tool for teaching technology; it is a dynamic facilitator of comprehensive educational enhancement. Through the integration of robotics into STEM education, students gain improved cognitive skills, heightened engagement, and a better ability to apply knowledge across various disciplines. The studies reviewed in this paper indicate that robotics can significantly enhance problem-solving abilities, foster creativity, and encourage effective collaboration among students. Additionally, its application in diverse educational settings highlights its role in democratizing access to quality education and enhancing learning outcomes worldwide. As we continue to navigate the challenges of educating in increasingly digital and technologically advanced environments, robotics education stands as a beacon of interdisciplinary and experiential learning that can substantially contribute to the educational landscape of the future.

Contribution

Deyu Zhang and Jiawen Wang: Conceptualization, Methodology, Data curation, Writing- Original draft preparation, Visualization, Investigation.


References

[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.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 6th International Conference on Computing and Data Science

ISBN:978-1-83558-459-0(Print) / 978-1-83558-460-6(Online)
Editor:Alan Wang, Roman Bauer
Conference website: https://www.confcds.org/
Conference date: 12 September 2024
Series: Applied and Computational Engineering
Volume number: Vol.69
ISSN:2755-2721(Print) / 2755-273X(Online)

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References

[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.