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Bibin Rubini, Saiful Millah, Indarini Dwi Pursitasari

Judul : Scientific literacy assessment based on local wisdom in testlets models
Abstrak :

This study aims to develop a scientific literacy assessment using a local wisdom-based testlets model that fulfills the criteria for a good assessment. Research and development (R&D) with ADDIE research design (Analysis, Design, Development, Implementation, and Evaluation). The instrument validation was carried out by content by two experts and a teacher to determine CVR and CVI, and empirically carried out on a small group of 30 students and a large group of 216 students. Empirical testing to determine the validity and reliability of the items. Test the effectiveness of the scientific literacy assessment using the Rasch model. The results of the analysis of local wisdom that are used as the context of science in the assessment have 10 contexts, including batik, keris, angklung, flute, and other local wisdom. The number of questions developed were 50 questions consisting of 40 questions to measure competence and science content and 10 questions to measure scientific attitudes. The form of questions used varied, namely ordinary MC, Complex MC, MC with reasons, sorting, filling, description, and questionnaire. The questions are arranged in one testlet based on the context of local wisdom. The results of expert validation showed an average of 94% (very suitable) and the acquisition of CVR and CVI of 1 and 1. The results of small-scale trials showed that the scientific literacy assessment developed was all valid with a reliability coefficient of 0.977. The results of large-scale trials show that all items are valid with a reliability coefficient of 0.850. The effectiveness test using Rasch modeling shows an Eigenvalue of 48.7%. Based on the results obtained, the scientific literacy assessment based on local wisdom developed is valid and reliable and effective for measuring the scientific literacy of junior high school students.

Tahun : 2022 Media Publikasi : Prosiding
Kategori : Prosiding No/Vol/Tahun : - / - / 2022
ISSN/ISBN : -
PTN/S : Universitas Pakuan Program Studi : PENDIDIKAN ILMU PENGETAHUAN ALAM
Bibliography :

  1. 1.D. A. Rostikawati, and A. Permanasari, Jurnal Inovasi Pendidikan IPA 2, 156–164 (2016). Google ScholarCrossref
  2. 2.OECD, PISA Results in Focus (OECD Publishing, Paris, 2015). Available from: https://doi.org/10.1787/aa9237e6-enGoogle ScholarCrossref
  3. 3.Y. Pantiwati, JEMS: Jurnal Edukasi Matematika Dan Sains, 1, 18–27 (2016). Google ScholarCrossref
  4. 4.W.P. Astuti, A.P.B. Prasetyo,and Rahayu, Journal of Educational Research Lembaran Ilmu Kependidikan (LIK) 41, 39–43 (2012). Google Scholar
  5. 5.A. Sudijono, Pengantar Statistik Pendidikan (Raja Grafindo Persada, Jakarta, 2006), pp. 56–64. Google Scholar
  6. 6.U.U. Effiong, N.I. Nkwo, and N.N. Udo, IOSR Journal of Research & Method in Education 4, 1–5 (2014). Google Scholar
  7. 7.I.T. Wahyuni, S. Yamtinah, and B. Utami. Jurnal Pendidikan Kimia 4, 222–231 (2015). Google Scholar
  8. 8.S. Yamtinah, K.S. Martini, Jurnal Profesi Pendidikan 1, 1–10 (2014). Google Scholar
  9. 9.K. Scalise and M. Wilson, “Bundle models for computerized adaptive testing in e-learning assessment”, in Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing, edited by S. Mebane et al. (National Science Foundation, Virginia, 2007), pp. 1–25. Google Scholar
  10. 10.R. Shiell, and A. Slepkov. (2015), Collected Essays on Learning and Teaching 8, 201–210 (2015). Google ScholarCrossref
  11. 11.P.Z. Kun, “Pembelajaran Sains Berbasis Kearifan Lokal”, in Prosiding: Seminar Nasional Fisika Dan Pendidikan Fisika 2, editor by Supriyadi et al. (Jurusan Fisika, FMIPA, Universitas Negeri Semarang, 2013), pp. 246–256. Google Scholar
  12. 12.W. J. Boone, J.R. Staver, and M.S.Yale, Rasch Analysis in the Human Sciences (Springer, New York, 2013), pp. 217–234. Google Scholar
  13. 13.I.H. Misbach, and B. Sumintono, Pengembangan dan Validasi Instrumen: Persepsi Siswa Terhadap Karakter Moral Guru di Indonesia dengan Model Rasch (University Malaya, Malasya, 2014), pp. 1–17. Google Scholar
  14. 14.A. Rusilowati, S.E. Nugroho, E.S.M. Susilowati, T. Mustika, N. Harfiyani, and H.T. Prabowo, “The development of scientific literacy assessment to measure student’s scientific literacy skills in energy theme”, in International Conference on Mathematics, Science and Education 2017 (ICMSE2017), Journal of Physics: Conference Series 983, (IOP Publishing, Bristol, 2018), pp. 1–6. Google ScholarCrossref
  15. 15.B. Sumintono, B and W. Widhiarso, Aplikasi Pemodelan Rasch pada Assessment Pendidikan (Trim komunikata, Cimahi, 2015), pp. 49–105. Google Scholar
  16. 16.S. Diana, Jurnal Pengajaran MIPA 21, 82–91 (2016). Google Scholar
  17. 17.H. Fives, W. Huebner, A.S. Birnbaum, and M. Nicolich, Science Education 98, 549–580 (2014). Google ScholarCrossref
  18. 18.Y. Shwartz, R. Ben-Zvi, and A. Hofstein, Chemistry Education Research and Practice 7, 203–225 (2006). Google ScholarCrossref
  19. 19.I. Pratiwi, Jurnal Pendidikan Dan Kebudayaan 4, 51–71 (2019). Google ScholarCrossref
  20. 20.J. Afriana, A, Permanasari, and A, Fitriani, Jurnal Inovasi Pendidikan IPA 2, 202–212 (2016). Google ScholarCrossref
  21. 21.R.N. Fa’idah and S. Mahanal, Jurnal Pendidikan: Teori, Penelitian, Dan Pengembangan 4, 1704–1709 (2019). Google ScholarCrossref
  22. 22.S. Thomson, K, Hillman, and L. De Bortoli, A teacher's guide to PISA scientific literacy (ACER Press, Australia, 2013), pp. 7–39. Google Scholar
  23. 23.H. T. Prabowo, A. Rusilowati, and S. Wahyuni, Physics Communication 2, 122–129 (2018). Google Scholar

URL : https://aip.scitation.org/doi/abs/10.1063/5.0120925

 

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