Integrasi Computational Thinking Menggunakan Lego Robotika Pada Pembelajaran Pemrograman
Abstract
School extracurricular activities potentially facilitate the development of students' talents and interests. This community service activity introduces the integration of Lego Mindstorm EV3 Robotics into extracurricular programming activities at PPQ IT Al Mahir, Karanganyar. It is expected to benefit students' Computational Thinking skills and interest in STEM careers of the PPQ-IT Al Mahir Islamic Boarding School students Karanganyar. This community service aimed to develop the character of the Pancasila Student profile according to the purpose of the Merdeka Curriculum. The activity was carried out in the period from July to October 2022. The three stages of community service were 1) preparation, 2) robotics workshop, and 3) deployment. The report concludes that the robotics module ran well for the high-school student level and contributed to the participants' robotics and programming interest. The extracurricular framework would be the potential for deployment in the other school setting.
Keywords
Full Text:
PDFReferences
Alvarez, A., & Larrañaga, M. (2016). Experiences incorporating lego mindstorms robots in the basic programming syllabus: Lessons learned. Journal of Intelligent & Robotic Systems, 81(1), 117-129. doi:10.1007/s10846-015-0202-6
Álvarez, A., & Larrañaga, M. (2013). Using LEGO Mindstorms to Engage Students on Algorithm Design. Proc. - Front. Educ. Conf. FIE, 1346–1351.
Amri, S., Budiyanto, C. W., Fenyvesi, K., Yuana, R. A., & Widiastuti, I. (2022). Educational Robotics: Evaluating the Role of Computational Thinking in Attaining 21st Century Skills. Open Education Studies, 4(1), 322-338. doi:10.1515/edu-2022-0174
Angeli, C. (2022). The effects of scaffolded programming scripts on pre-service teachers’ computational thinking: Developing algorithmic thinking through programming robots. International Journal of Child-Computer Interaction, 31, 1-20. doi:10.1016/j.ijcci.2021.100329
Aristawati, F. A., Budiyanto, C. W., & Ariyuana, R. (2018). Adopting Educational Robotics to Enhance Undergraduate Students’ Self-Efficacy Levels of Computational Thinking Journal of Turkish Science Education, 15(Special Issue), 42-50. doi:10.12973/tused.10255a
Atmatzidou, S., & Demetriadis, S. (2016). Advancing students’ computational thinking skills through educational robotics: A study on age and gender relevant differences. Robotics and Autonomous Systems, 75, 661 - 670. doi:10.1016/j.robot.2015.10.008
Benitti, F. B. V. (2012). Exploring the educational potential of robotics in schools: A systematic review. Computers & Education, 58(3), 978-988. doi:10.1016/j.compedu.2011.10.006
Bruciati, A. (2003). Robotics Technologies for K-8 Educators: A Semiotic Approach for Instructional Design. Int. Conf. Educ. Inf. Syst. Technol. Appl. Proc, 163-167.
Budiyanto, C., Fitriyaningsih, R. N., Kamal, F., Ariyuana, R., & Efendi, A. (2020). Hands-on Learning In STEM: Revisiting Educational Robotics as a Learning Style Precursor. Open Engineering, 10(1), 649-657. doi:10.1515/eng-2020-0071
Burleson, W. S., Harlow, D. B., Nilsen, K. J., Perlin, K., Freed, N., Jensen, C. N., . . . Muldner, K. (2017). Active learning environments with robotic tangibles: Children's physical and virtual spatial programming experiences. IEEE Transactions on Learning Technologies, 11(1), 96-106. doi:10.1109/TLT.2017.2724031
Catlin, D., & Woolard, J. (2014). Educational Robots and Computational Thinking. Paper presented at the 4th International Workshop Teaching Robotics, Teaching with Robotics & 5th International Conference Robotics in Education, Poldova, Italy.
Chen, G., Shen, J., Barth-Cohen, L., Jiang, S., Huang, X., & Eltoukhy, M. (2017). Assessing elementary students’ computational thinking in everyday reasoning and robotics programming. Computers & Education, 109, 162-175.
Driscoll, H. D. P., Pimentel, S., Alonso, A., & Fabrizio, L. M. (2014). Technology and Engineering Literacy Framework for the 2014 National Assessment of Educational Progress. Retrieved from United States:
Eguchi, A. (2016). RoboCupJunior for promoting STEM education, 21st century skills, and technological advancement through robotics competition. Robotics and Autonomous Systems, 75, 692-699. doi:10.1016/j.robot.2015.05.013
Eguchi, A. (2017). Bringing Robotics in Classrooms: Redesigning the Learning Experience. Robotics in STEM Education (pp. 3-31). In: Springer, Cham, Suiza.
García-Peñalvo, F. J., & Mendes, A. J. (2018). Exploring the computational thinking effects in pre-university education. In: Elsevier.
Gilder, J., Peterson, M., Wright, J., & Doom, T. (2003). A Versatile Tool For Student Projects: An Asm Programming Language For The Lego Mindstorm. ACM Journal on Educational Resources in Computing, 3(1), 2.
Korkmaz, Ö. (2016). The Effect of Lego Mindstorms Ev3 Based Design Activities on Students’ Attitudes towards Learning Computer Programming, Self-efficacy Beliefs and Levels of Academic Achievement. Baltic Journal of Modern Computing, 4(4), 994–1007. doi:10.22364/bimc.2016.4.4.24
Kucuk, S., & Sisman, B. (2017). Behavioral patterns of elementary students and teachers in one-to-one robotics instruction. Computers & Education, 111, 31-43. doi:10.1016/j.compedu.2017.04.002
Lye, S. Y., & Koh, J. H. L. (2014). Review on teaching and learning of computational thinking through programming: What is next for K-12? Computers in Human Behavior, 41, 51-61.
Majherová, J., & Králík, V. (2017). Innovative Methods in Teaching Programming for Future Informatics Teachers. Eur. J. Contemp. Educ., 6(3), 390-400. doi:10.13187/ejced.2017.3.390
Müllera, B. C., Reisea, C., & Seligera, G. (2015). Gamification in factory management education – a case study with Lego Mindstorms. 12th Global Conference on Sustainable Manufacturing, 26, 121-126. doi:10.1016/j.procir.2014.07.056
Peixoto, A., Castro, M., Blazquez, M., Martin, S., Sancristobal, E., Carro, G., & Plaza, P. (2018). Robotics tips and tricks for inclusion and integration of students. Paper presented at the 2018 IEEE Global Engineering Education Conference (EDUCON).
Rativa, A. S. (2018). How can we teach educational robotics to foster 21st learning skills through PBL, Arduino and S4A? Paper presented at the International Conference on Robotics and Education RiE 2017.
Sun, L., Hu, L., Yang, W., Zhou, D., & Wang, X. (2021). STEM learning attitude predicts computational thinking skills among primary school students. Journal of Computer Assisted Learning, 37(2), 346-358. doi:10.1111/jcal.12493
Taniguchi , A., Taniguchi, T., & Cangelosi, A. (2017). Cross-Situational Learning with Bayesian Generative Models for Multimodal Category and Word Learning in Robots. Front. Neurorobot., 11, 66. doi:10.3389/fnbot.2017.00066
Toh, L. P. E., Causo, A., Tzuo, P.-W., Chen, I.-M., & Yeo, S. H. (2016). A review on the use of robots in education and young children. Journal of Educational Technology & Society, 19(2), 148-163.
Witherspoon, E. B., Schunn, C. D., Higashi, R. M., & Baehr, E. C. (2016). Gender, interest, and prior experience shape opportunities to learn programming in robotics competitions. International Journal of STEM Education, 3(1), 18. doi:10.1186/s40594-016-0052-1
Wu, Y., De Vries, C., & Qi, D. (2018). Using LEGO Kits to Teach Higher Level Problem Solving Skills in System Dynamics: A Case Study. Adv. Eng. Educ., 6(3), 1-20.
DOI: https://doi.org/10.20961/dedikasi.v5i1.66483
Refbacks
- There are currently no refbacks.
|