Analysis of Students' Emotional Intelligence in STEM Based Robotics Learning using Transcript Based Lesson Analysis (TBLA)
DOI:
https://doi.org/10.30587/didaktika.v32i1.9595Keywords:
Leson Study, Robotic, Emotional, TBLAAbstract
This study aims to analyze students' emotional intelligence in robotics learning using a STEM approach. This study was conducted at Nurul Ilmi Integrated Islamic Junior High School in Jambi, with the research subjects being students involved in robotics learning. The researcher acted as an observer who passively observed the learning process without direct intervention. The observation and analysis process was based on emotional intelligence indicators that had been validated by experts. The lesson study activity was carried out in three cycles, each consisting of Planning (Plan), Implementation (Do), and Evaluation (See), which were adjusted to the allocated time and robotics learning materials that had been determined. Data was collected through voice recordings during the activities, then converted into conversation transcripts and analyzed. The data is presented in a table of transcript analysis results based on emotional intelligence indicators and a graph of analysis results that presents the transcripts. The transcripts are analyzed to identify students' emotional intelligence indicators using Microsoft Excel, and the analysis results are visualized in the form of line diagrams
References
Aini, N., Susanti, N., & Nurhatmi, J. (2024). Penelitian Kualitatif dalam Pembelajaran Lesson Study pada Mata Kuliah Perubahan Iklim Berbasis NVivo Pendahuluan. Jurnal Pembelajaran Fisika, 13(4), 200–210. https://doi.org/10.19184/jpf.v13i3.48554
Anggraini, C. N., Susanti, N., Dani, R., & Maryanti, I. (2024). Analisis Kesesuaian Proses Pembelajaran Fisika dengan RPP Pada Materi Fluida Statis Di MAS Laboratorium Melalui Pengamatan Video Pembelajaran Menggunakan TBLA. Jurnal Pemikiran Pendidikan, 30(1), 48–57. https://doi.org/10.30587/didaktika.v30i1.6923
Asri, Y. N. (2018). Pembelajaran Berbasis Stem Melalui Pelatihan Robotika. WaPFi (Wahana Pendidikan Fisika), 3(2), 74. https://doi.org/10.17509/wapfi.v3i2.13735
Creswell, J. W. (2018). Qualitative, Quantitative, and Mixed Methods Approaches. In Writing Center Talk over Time. https://doi.org/10.4324/9780429469237-3
Djoko Hari Supriyanto. (2021). Analisis Pengaruh Kecerdasan Emosional Terhadap Proses Berfikir Siswa Kelas IV dalam Memecahkan Masalah Matematika. Jurnal Pendidikan Modern, 6(2), 85–90. https://doi.org/10.37471/jpm.v6i2.208
Hanik, E. U., & Ulfa, M. (2021). Pembelajaran Berbasis Stem Melalui Media Robotik Untuk Meningkatkan Keterampilan Siswa Abad 21 Sekolah Indonesia Kuala Lumpur ( Sikl ). International Conference on Islamic Education, 1, 83–96.
Latip, A. (2020). Minat Belajar Peserta Didik SMP Pada Pembelajaran STEM dengan Media Robot Edukasi. Jurnal Literasi Pendidikan Fisika, 1(02), 90–96. https://doi.org/10.30872/jlpf.v1i2.353
Lisnawati, S. (2019). Development of Emotional Quotient Instrument. Jurnal Evaluasi Pendidikan, 2(1), 54. https://doi.org/10.21009/jep.021.05
Masban, B. R. (2022). Pengaruh Pembelajaran Berbasis Stem Terhadap Pemahaman Konsep Dan Kemampuan Bekerjasama Peserta Didik Pada Materi Elektroplating Di Sma Negeri 1 Sakra. Indonesian Journal of Teacher Education, 3(1), 352–361.
Masniari, D., Susanti, N., Lestari, N., & Gustria, A. (2023). Describing Student Activeness Using Transcript Based Lesson Analysis In Lesson Study Material Hydrostatic Pressure And Pascal’s Law. DIDAKTIKA : Jurnal Pemikiran Pendidikan, 29(2), 152. https://doi.org/10.30587/didaktika.v29i2.5438
Pulsande, A. S. (2021). Analisis Pembelajaran Ipa Dengan Lesson Study Berbasis Transcript Based Lesson Analysis Pada Materi Getaran Dan Gelombang. Jurnal Sains Dan Pendidikan Fisika, 17(2), 128–138.
Rahmaniar, A., & Latief, A. (2021). Analisis Literatur Teknologi dalam Integrasi Pendidikan STEM pada Pembelajaran IPA. Jurnal Literasi Pendidikan Fisika (JLPF), 2(2), 143–148. https://doi.org/10.30872/jlpf.v2i2.680
Riantoni, C., Fuady, S., Hais, Y. R., & Novallyan, D. (2023). Workshop STEM Robotik Bagi Siswa dan Guru di SMPN 32 Muaro Jambi STEM Robotics Workshop for Students and Teachers at SMPN 32 Muaro Jambi. Jurnal Anugerah, 5(x), 61–72.
Rifudin, R., Setiawan, A., Abidin, Z., Efrilianda, D. A., & Jumanto. (2022). Pembelajaran STEM Berbasis Robotika Sederhana Bagi Guru Sekolah Dasar di Karimunjawa. Abdimasku : Jurnal Pengabdian Masyarakat, 5(3), 570. https://doi.org/10.33633/ja.v5i3.825
Selvia, Susanti, N., Alrizal, & Khoiriyah. (2024). Identifikasi Kemandirian Belajar Siswa di Ma Nurul Islam Lumajang Pada Materi Fluida Dinamis Melalui Pengamatan Video Berbasis TBLA. Didaktika Jurnal Pemikiran Pendidikan, 30(1), 34–47. https://doi.org/10.30587/didaktika.v30i1.6921
Setyaningrum, R., Utami, H. N., & Ruhana, I. (2016). Pengaruh Kecerdasaan Emosional Terhadap Kinerja. Jurnal Administrasi Bisnis (JAB)|Vol, 36(1), 211–220.
Siti Anisah, A., Katmajaya, S., & Zakiyyah, W. L. (2021). Pengaruh Kecerdasan Emosional Terhadap Sikap Sosial Pada Siswa Sekolah Dasar. Jurnal Pendidikan UNIGA, 15(1), 434. https://doi.org/10.52434/jp.v15i1.1178
Wahidin, M. S., Darsono, & Astuti, N. (2019). Hubungan Pendidikan Karakter dan Kecedasan Emosional dengan Hasil Belajar PKn. Pedagogi: Jurnal Pendidikan Dasar, 7(13).
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