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Evaluation of Robotics Class in a Private School in the Philippines

Ricardo Cruz Ahillon Jr.(1), Sabella Resanie C. Cadiong(2), Alaric B. Tomeldan(3), Arrah Crisrei B. Belgira(4), Alfonso Rafael A. Ayaya(5), Althea Dominique M. Paredes(6), Dominick Johan G. Balajadia(7), Ron Gabriel F. Sumandal(8), Lionel Decasa Basilio(9), Kaizen C. Quindra(10),


(1) Department of Education-Rizal
(2) lanthe Christian Academy
(3) lanthe Christian Academy
(4) lanthe Christian Academy
(5) lanthe Christian Academy
(6) lanthe Christian Academy
(7) lanthe Christian Academy
(8) lanthe Christian Academy
(9) lanthe Christian Academy
(10) lanthe Christian Academy
Corresponding Author

Abstract


The present study aimed to evaluate the robotics class at Ianthe Christian Academy. This present study used descriptive research using a survey. Respondents in the study were parents and learners at Ianthe Christian Academy as they participated in outdoor classes. These are Grade 3 to 6 learners. Samples were chosen from the population using simple random sampling. Parent-respondents were identified using Part I: Profile of the respondents which includes age, sex, and economic status. Part II: Teaching and Part III: Learning describe the teaching and learning on outdoor activities at Ianthe Christian School. The scale described how outdoor activities happened in the school. Findings revealed that parents strongly agreed on Teaching and Learning Robotics Classes, learners performed outstandingly in various subject areas, and there is no relationship between both teaching and learning in the academic performance of learners. Parents were satisfied with the robotics class in school, learners showed enthusiasm and commitment to their subjects taken, and they did not directly affect learners' performance in robotics class. Parents should be engaged in the learning experience of the learners in the robotics class, providing additional worksheets that enhance the skills of learners, and encouraging parents to communicate with teachers.

Keywords


Evaluation of teaching and learning of robotics; Performance of learners; Robotic class

References


Ayeni, O. O., Unachukwu, C. C., Al Hamad, N. M., Chisom, O. N., and Adewusi, O. E. (2024). The impact of robotics clubs on K-12 students' interest in STEM careers. Magna Scientia Advanced Research and Reviews, 10(1), 361-367.

Bowden, J. L. H., Tickle, L., and Naumann, K. (2021). The four pillars of tertiary student engagement and success: a holistic measurement approach. Studies in Higher Education, 46(6), 1207-1224.

Butchart, J., Harrison, R., Ritchie, J., Martí, F., McCarthy, C., Knight, S., and Scheinberg, A. (2021). Child and parent perceptions of acceptability and therapeutic value of a socially assistive robot used during pediatric rehabilitation. Disability and rehabilitation, 43(2), 163-170.

Cameron, L. (2020). A robot took my job! How STEM education might prepare students for a rapidly changing world. Curriculum Perspectives, 40(2), 233-239.

Carstens, K. J., Mallon, J. M., Bataineh, M., and Al-Bataineh, A. (2021). Effects of Technology on Student Learning. Turkish Online Journal of Educational Technology-TOJET, 20(1), 105-113.

Chevalier, M., Giang, C., Piatti, A., and Mondada, F. (2020). Fostering computational thinking through educational robotics: A model for creative computational problem solving. International Journal of STEM Education, 7, 1-18.

Drigas, A., Papanastasiou, G., and Skianis, C. (2023). The school of the future: The role of digital technologies, metacognition and emotional intelligence. International Journal of Emerging Technologies in Learning (Online), 18(9), 65.

Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., ... and Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International journal of information management, 59, 102168.

Evripidou, S., Georgiou, K., Doitsidis, L., Amanatiadis, A. A., Zinonos, Z., and Chatzichristofis, S. A. (2020). Educational robotics: Platforms, competitions and expected learning outcomes. IEEE Access, 8, 219534-219562.

Haleem, A., Javaid, M., Qadri, M. A., and Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable operations and computers, 3, 275-285.

Janssen, T. W., Grammer, J. K., Bleichner, M. G., Bulgarelli, C., Davidesco, I., Dikker, S., ... and van Atteveldt, N. (2021). Opportunities and limitations of mobile neuroimaging technologies in educational neuroscience. Mind, Brain, and Education, 15(4), 354-370.

Kyprianou, M., Dakou, K., Aktar, A., Aouina, H., Behbehani, N., Dheda, K., Juvelekian, G., Khattab, A., Mahboub, B., Nyale, G., Oraby, S., Sayiner, A., Shibl, A., El Deen, M. A. T., Unal, S., Zubairi, A. B. S., Davidson, R., and Giamarellos-Bourboulis, E. J. (2023). Macrolides for better resolution of community-acquired pneumonia: A global meta-analysis of clinical outcomes with focus on microbial aetiology. International Journal of Antimicrobial Agents, 62(4), 106942.

Lin, C., Šabanović, S., Dombrowski, L., Miller, A. D., Brady, E., and MacDorman, K. F. (2021). Parental acceptance of children’s storytelling robots: A projection of the uncanny valley of AI. Frontiers in Robotics and AI, 8, 579993.

Michelson, R., DeWitt, A., Nagar, R., Hiniker, A., Yip, J., Munson, S. A., and Kientz, J. A. (2021). Parenting in a pandemic: Juggling multiple roles and managing technology use in family life during COVID-19 in the United States. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2), 1-39.

Mukherjee, D., Gupta, K., Chang, L. H., and Najjaran, H. (2022). A survey of robot learning strategies for human-robot collaboration in industrial settings. Robotics and Computer-Integrated Manufacturing, 73, 102231.

Ouyang, F., and Xu, W. (2024). The effects of educational robotics in STEM education: A multilevel meta-analysis. International Journal of STEM Education, 11(1), 1-18.

Raynal, A., Lavigne, H., Goldstein, M., and Gutierrez, J. (2022). Starting with parents: Investigating a multi-generational, media-enhanced approach to support informal science learning for young children. Early Childhood Education Journal, 50(5), 879-889.

Relkin, E., Govind, M., Tsiang, J., and Bers, M. (2020). How parents support children’s informal learning experiences with robots. Journal of Research in STEM Education, 6(1), 39-51.

Sapounidis, T., and Alimisis, D. (2020). Educational robotics for STEM: A review of technologies and some educational considerations. In Science and mathematics education for 21st century citizens: Challenges and ways forward (No. September, 2020, pp. 167-190). Hauppauge, NY, USA: Nova Science Publishers.

Speldewinde, C. (2022). STEM teaching and learning in Bush Kinders. Canadian Journal of Science, Mathematics and Technology Education, 22(2), 444-461.

Talib, C. A., Aliyu, H., Aliyu, F., Maimun, A., Malik, A., Anggoro, S., and Ali, M. (2020). Integration of robotics into STEM education for facilitating environmental sustainability. Solid state technology, 63(1), 767-783.

Yannier, N., Hudson, S. E., and Koedinger, K. R. (2020). Active learning is about more than hands-on: A mixed-reality AI system to support STEM education. International Journal of Artificial Intelligence in Education, 30, 74-96.

Yilmaz Ince, E., and Koc, M. (2021). The consequences of robotics programming education on computational thinking skills: An intervention of the Young Engineer's Workshop (YEW). Computer Applications in Engineering Education, 29(1), 191-208.

You, H. S., Chacko, S. M., and Kapila, V. (2021). Examining the effectiveness of a professional development program: integration of educational robotics into science and mathematics curricula. Journal of science education and technology, 30(4), 567-581.

Zeng, J., Parks, S., and Shang, J. (2020). To learn scientifically, effectively, and enjoyably: A review of educational games. Human Behavior and Emerging Technologies, 2(2), 186-195.

Zhao, H., Hu, S., Zhang, H., Wang, Z., Dong, H., Del Hougne, P., Cui, T. J., and Li, L. (2023). Intelligent indoor metasurface robotics. National Science Review, 10(8), nwac266.


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