Robotic-Assisted STEM Worksheets for Renewable Energy: A Multi-Stakeholder Needs Analysis in Junior High School Science
DOI:
https://doi.org/10.23960/jpf.v14i1.20Keywords:
STEM, Block programming, Renewable energy, LKPDAbstract
The development of educational technology requires science learning in junior high schools to shift toward more interactive, contextual, and skill-oriented approaches that support 21st-century competencies. However, observations and needs analysis reveal that renewable energy learning is still dominated by lecture-based instruction and limited media use, resulting in students’ difficulty visualizing concepts and experiencing hands-on experimentation. This study aims to analyze the needs of teachers and students as the foundation for developing Student Worksheets (LKPD) assisted by block programming–based STEM robotics on renewable energy materials. A qualitative descriptive design was employed involving 52 ninth-grade students and 8 science teachers selected through purposive sampling. Data were collected using questionnaires, interviews, and documentation, then analyzed through data reduction, data display, and conclusion drawing. The findings show that 57.7% of students prefer experiment-centered learning, 44.2% have never conducted renewable energy experiments, 73.1% have never used robotic media, and 88.5% are highly interested in learning through block programming–robotic activities. From the teacher perspective, 100% reported that robotic-based LKPD is not yet available in schools, and all teachers expressed strong interest in adopting such media. Additionally, 75% indicated that school facilities do not sufficiently support coding-robotic activities. Overall, these results emphasize the urgent need for STEM-based LKPD assisted by block programming and robotics to concretely visualize renewable energy processes, enhance conceptual understanding, foster scientific inquiry, and support meaningful technology integration in science learning. Furthermore, the development of such learning materials has the potential to improve the effectiveness of science laboratory activities by providing accessible, interactive, and technology-enhanced experimentation experiences, thereby supporting the broader implementation of innovative science education practices in Indonesian schools.
References
Addido, J., Borowczak, A. C., & Walwema, G. B. (2023). Teaching Newtonian physics with LEGO EV3 robots: An integrated STEM approach. Eurasia Journal of Mathematics, Science and Technology Education, 19(6). https://doi.org/10.29333/ejmste/13232
Ainiyatul Azizah, N. N. A. (2025). Efektivitas Pembelajaran Berbasis STEM dalam Meningkatkan Kreativitas dan Keterampilan Berpikir Kritis Siswa SMP Negeri 1 Jombang. Journal of Science and Mathematics Education. https://doi.org/https://doi.org/10.70716/josme.v1i2.169
Al-Azawei, A., Abdullah, A. A., Mohammed, M. K., & Abod, Z. A. (2023). Predicting online learning success based on learners’ perceptions: the integration of the information system success model and the security triangle framework. International Review of Research in Open and Distributed Learning, 24(2), 72-95.
Allita Marsya, Anwar Syafi’i, A. Y. R. W. (2022). EFEKTIVITAS PENDEKATAN STEM PADA MATERI PESAWAT SEDERHANA TERHADAP HASIL BELAJAR PESERTA DIDIK. Jurnal Natural Science Educational Research. https://doi.org/https://doi.org/10.21107/nser.v5i1.15760
Arafat, M. H., Budiyanto, C. W., Yuana, R. A., & Kristof Fenyvesi. (2024). Implementation of Integrated STEM Learning in Educational Robotics towards 21st Century Skills : A Systematic Review To cite this article : Arafat , M . H ., Budiyanto , C . W ., Yuana , R . A ., & Fenyvesi , K . ( 2024 ). Implementation of review . Inter. International Journal of Education in Mathematics, Science, and Technology, 12(5), 1127–1141.
Bahtaji, M. (2023). EXAMINING THE PHYSICS CONCEPTIONS, SCIENCE ENGAGEMENT AND MISCONCEPTIONS OF UNDERGRADUATE STUDENTS IN STEM. Journal of Baltic Science Education. https://doi.org/10.33225/jbse/23.22.10
Creswell, J. W. (2018). Qualitative Inquiry & Research Design. SAGE.
Etikan, I. (2016). Comparision of Snowball Sampling and Sequential Sampling Technique. Biometrics & Biostatistics International Journal, 3(1), 1–2. https://doi.org/10.15406/bbij.2016.03.00055
Hodges, C. B., Moore, S., Lockee, B. B., Trust, T., & and M. Aaron Bond. (2020). Chapter 21 The Difference between Emergency Remote Teaching and Online Learning. BRIIL. https://doi.org/https://doi.org/10.1163/9789004702813_021
Irvany Nurita Pebriana, A. V. N. (2023). Bahan Ajar Elektronik Fisika Berbasis Inquiry Learning Terintegrasi STEM: Pengaruhnya terhadap Penguasaan Materi dan Motivasi Belajar Siswa SMA pada Topik Gelombang Bunyi. Jurnal Pendidikan Matematika Dan Sains. https://doi.org/https://doi.org/10.21831/jpms.v11i1.61774
Li, F., Fan, S., & Wang, Y. (2022). Mobile-assisted language learning in Chinese higher education context: a systematic review from the perspective of the situated learning theory. Education and Information Technologies, 27(7), 9665–9688. https://doi.org/10.1007/s10639-022-11025-4
Lohakan, M., & Seetao, C. (2024). Large-scale experiment in STEM education for high school students using artificial intelligence kit based on computer vision and Python. Heliyon, 10(10), e31366. https://doi.org/10.1016/j.heliyon.2024.e31366
Movahedazarhouligh, S., Kermani, H., & Aldemir, J. (2023). STEM Integrated Curriculums in Early Childhood Education: An Exploration of Teachers’ Pedagogical Beliefs and Practices. International Journal of Modern Education Studies, 7(1), 0–1. https://doi.org/10.51383/ijonmes.2022.266
Nisa, K., Suana, W., & Viyanti. (2024). Interactive physics learning media integrated with STEM approach to enhance students’ scientific reasoning skills. Jurnal Pembelajaran Fisika, 12(1), 15–24.
Ouyang, F., & Xu, W. (2024). The effects of educational robotics in STEM education: a multilevel meta-analysis. International Journal of STEM Education, 11(1). https://doi.org/10.1186/s40594-024-00469-4
Pratama, A. R., Suana, W., & Abdurrahman. (2023). Development of STEM-based student worksheets to improve conceptual understanding and scientific literacy in physics learning. Jurnal Pembelajaran Fisika, 11(3), 121–130.
Putra, N., Asrizal, A., & Usmeldi, U. (2023). Meta-Analisis Pengaruh STEM pada Pembelajaran Fisika Terhadap Pemahaman Konsep dan Keterampilan Berpikir Kreatif Siswa. INKUIRI: Jurnal Pendidikan IPA, 12(3), 228. https://doi.org/10.20961/inkuiri.v12i3.79314
Rapti, S., Sapounidis, T., & Tselegkaridis, S. (2025). Review of Robotics Activities to Promote Kindergarteners’ Communication, Collaboration, Critical Thinking, and Creativity. Information (Switzerland), 16(4). https://doi.org/10.3390/info16040260
Riskawat, Said, S., Herman, N. M., Nurhasmi, & Sanusi, D. K. (2025). Transformasi kompetensi pedagogik calon guru fisika melalui pelatihan pembuatan media pembelajaran berbasis coding. Jurnal Abdimas Indonesia, 5(2), 2025. https://dmi-journals.org/jai/
Staikova, M. (2025). Gaining Python Skills Through Interactive Education Robot Ozobot EVO †. Engineering Proceedings, 100(1). https://doi.org/10.3390/engproc2025100015
Suhandi, D. R. D. A. I. K. A. S. F. C. W. (2023). Virtual laboratory in physics education: A systematic review. ELECTRONIC PHYSICS INFORMATICS INTERNATIONAL CONFERENCE (EPIIC). https://doi.org/https://doi.org/10.1063/5.0210640
Yin, R. (2016). Case Study and Applications: Design and Methods (6th ed.). Theory and Methods of Metallurgical Process Integration, 11(1), 179–272.
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