Impressive Analysis of High School Students' Abilities in Physics Measurement Materials of the New Indonesian-Paradigm Curriculum Via the Rasch Model

Mohd Zaidi Bin Amiruddin; Achmad Samsudin; Bayram Coştu; Andi Suhandi; Ida Kaniawati; Nila Apriliyanti

doi:10.26737/jipf.v9i2.4808

Impressive Analysis of High School Students' Abilities in Physics Measurement Materials of the New Indonesian-Paradigm Curriculum Via the Rasch Model

Mohd Zaidi Bin Amiruddin, Achmad Samsudin, Bayram Coştu, Andi Suhandi, Ida Kaniawati, Nila Apriliyanti

Abstract

The extent of students' abilities is an important thing to consider because it is part of the learning process. This research analyzes students' abilities in the subject matter measurement physics. Tools that are used is a ministep Rasch analysis. Descriptive quantitative was used in the study by providing an overview of the student's results and supported by data in the form of numbers from Rasch analysis. A total of 14 participant students as respondents in this research with the criteria of having received physics and measurement materialize Merdeka Curriculum in his learning. The results of this research state that ability learners are still classified as low, although it has obtained that material, while Cronbach's alpha index (0.62) is in the moderate category. Besides that, suitability questions for students still need to be classified as low. That way, it is important to balance the equations with students' abilities or vice versa. In the future, study continuation is required to increase students' abilities. According to the claim from the Merdeka Curriculum, it is learning more about the essentials.

Keywords

Rasch Model; Merdeka Curriculum; Physics; Ability

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References

Dede, C. (2010). Comparing frameworks for 21st century skills. 21st century skills: Rethinking how students learn, 20(2010), 51-76.

Ango, M. L. (2002). Mastery of Science Process Skills and Their Effective Use in the Teaching of Science: An Educology of Science Education in the Nigerian Context. Online Submission, 16(1), 11-30.

Hartikainen, S., Rintala, H., Pylväs, L., & Nokelainen, P. (2019). The concept of active learning and the measurement of learning outcomes: A review of research in engineering higher education. Education Sciences, 9(4), 276.

Bernacki, M. L., Greene, J. A., & Crompton, H. (2020). Mobile technology, learning, and achievement: Advances in understanding and measuring the role of mobile technology in education. Contemporary Educational Psychology, 60, 101827.

Digna, D., & Widyasari, C. (2023). Teachers' Perceptions of Differentiated Learning in Merdeka Curriculum in Elementary Schools. International Journal of Elementary Education, 7(2), 255-262.

Halimah, N., Irdamurni, I., & Desyandri, D. (2023). Humanistic philosophy of learning differs from the curriculum in ES. International Journal of Educational Dynamics, 5(2), 218-224.

Wahyuninsih, S., & Lestari, Y. B. (2023). Implementation of Differentiated Instruction in Project Based English Language Learning: A Case Study at SMAN 1 Lambu. International Journal of Multicultural and Multireligious Understanding, 10(9), 133-138.

Zamista, A. A., & Deswita, P. (2023). Perceptions of Indonesian teachers on the implementation of “Merdeka” Curriculum. Wiyata Dharma: Jurnal Penelitian dan Evaluasi Pendidikan, 11(1), 13-25.

Adom, D., Mensah, J. A., & Dake, D. A. (2020). Test, measurement, and evaluation: Understanding and use of the concepts in education. International Journal of Evaluation and Research in Education, 9(1), 109-119.

Csapó, B., & Molnár, G. (2019). Online diagnostic assessment in support of personalized teaching and learning: The eDia system. Frontiers in psychology, 10, 1522.

Yuberti, Y., Suryani, Y., & Kurniawati, I. (2020). Four-tier diagnostic test with certainty of response index to identify misconception in physics. Indonesian journal of science and mathematics education, 3(2), 245-253.

Soeharto, S., Csapó, B., Sarimanah, E., Dewi, F. I., & Sabri, T. (2019). A review of students’ common misconceptions in science and their diagnostic assessment tools. Jurnal Pendidikan IPA Indonesia, 8(2), 247-266.

Malespina, A., & Singh, C. (2022). Gender differences in test anxiety and self-efficacy: Why instructors should emphasize low-stakes formative assessments in physics courses. European Journal of Physics, 43(3), 035701.

Asriadi, M., & Hadi, S. (2021). Analysis of the Quality of the Formative Test Items for Physics Learning Using the Rasch Model in the 21st Century Learning. JIPF (Jurnal Ilmu Pendidikan Fisika), 6(2), 158-166.

Kusairi, S. (2020). A web-based formative feedback system development by utilizing isomorphic multiple choice items to support physics teaching and learning. Journal of Technology and Science Education, 10(1), 117-126.

Benben, V. Y., & Bug-os, M. A. A. C. (2022). Physics students’ academic achievement and motivation in a gamified formative assessment. American Journal of Educational Research, 10(6), 385-390.

Albaiti, A., & Lepa, A. A. (2022). Solubility and Solubility Product Phenomena: Papua Senior High School Students' Mental Model. Journal of Turkish Science Education, 19(2).

Putra, A. (2020, March). Analysis of student’s understanding about Newton’s laws, in terms of perceptions to learning in senior high school. In Journal of Physics: Conference Series (Vol. 1481, No. 1, p. 012134). IOP Publishing.

Pantiwati, Y., & Mahmudati, N. (2021). Increased ability to arrange two tier multiple choice questions. Journal of Community Service and Empowerment, 2(1), 22-27.

Kocimaheni, A. A., Soepardjo, D., Prasetyo, J., & Sasanti, N. S. (2023, March). Implementation of Kanji Learning Outcome Assessment During the Covid-19 Pandemic. In International Joint Conference on Arts and Humanities 2022 (IJCAH 2022) (pp. 984-991). Atlantis Press.

Kania, V. I., Samsudin, A., Purwanto, A. H. A., Rasmitadila, R. R., Jermsittiparsert, K., & Nurtanto, M. (2020). Multitier of greenhouse effect (Moge) instrument development to identify middle school students’ mental model in Thailand with rasch analysis,”. International Journal of Advanced Science and Technolo, 29(7), 3223-3237.

Nasralla, M. M., Al-Shattarat, B., Almakhles, D. J., Abdelhadi, A., & Abowardah, E. S. (2021). Futuristic trends and innovations for examining the performance of course learning outcomes using the Rasch analytical model. Electronics, 10(6), 727.

Planinic, M., Boone, W. J., Susac, A., & Ivanjek, L. (2019). Rasch analysis in physics education research: Why measurement matters. Physical Review Physics Education Research, 15(2), 020111.

Rahim, A., & Haryanto, H. (2021). Implementation of Item Response Theory (IRT) Rasch model in quality analysis of final exam tests in Mathematics. Journal of Research and Educational Research Evaluation, 10(2), 57-65.

Nurlailiyah, A., Deta, U. A., Ain, T. N., Haq, M. S., Lestari, N. A., & Yantidewi, M. (2019, February). Analysis of High School Physics National Examination questions based on Bloom Taxonomy and National Examination Question Standard in 2017/2018. In Journal of Physics: Conference Series (Vol. 1171, No. 1, p. 012041). IOP Publishing.

Aprillia, A., Qadar, R., & Efwinda, S. (2023). Using Revised Bloom's Taxonomy to Evaluate the Cognitive Levels of Questions in Indonesian High School Physics Textbooks. International Journal of STEM Education for Sustainability, 3(1), 195-211.

Sole, F. B., & Anggraeni, D. M. (2020). Analysis of high order thinking skill (HOTS) in joint midterm examination at YAPNUSDA Elementary School. In Journal of Physics: Conference Series (Vol. 1440, No. 1, p. 012102). IOP Publishing.

Istiyono, E., Dwandaru, W. S. B., Setiawan, R., & Megawati, I. (2020). Developing of Computerized Adaptive Testing to Measure Physics Higher Order Thinking Skills of Senior High School Students and Its Feasibility of Use. European Journal of Educational Research, 9(1), 91-101.

Wahyuni, S., & Husein, S. (2019, June). Physics learning devices based on guided inquiry with experiment to improve students’ creativity. In Journal of Physics: Conference Series (Vol. 1233, No. 1, p. 012034). IOP Publishing.

Bakri, F., Permana, H., Wulandari, S., & Muliyati, D. (2020). Student worksheet with ar videos: Physics learning media in laboratory for senior high school students. JOTSE: Journal of Technology and Science Education, 10(2), 231-240.

Cai, S., Liu, C., Wang, T., Liu, E., & Liang, J. C. (2021). Effects of learning physics using Augmented Reality on students’ self‐efficacy and conceptions of learning. British Journal of Educational Technology, 52(1), 235-251.

Hutchins, N. M., Biswas, G., Maróti, M., Lédeczi, Á., Grover, S., Wolf, R., ... & McElhaney, K. (2020). C2STEM: A system for synergistic learning of physics and computational thinking. Journal of Science Education and Technology, 29, 83-100.

Alam, A. (2020). Test of knowledge of elementary vectors concepts (TKEVC) among first-semester bachelor of engineering and technology students. Periódico Tchê Química, 17(35), 477-494.

Engelhard Jr, G. (1992). The measurement of writing ability with a many-faceted Rasch model. Applied measurement in Education, 5(3), 171-191.

Sumintono, B. (2018, February). Rasch model measurements as tools in assesment for learning. In 1st International Conference on Education Innovation (ICEI 2017) (pp. 38-42). Atlantis Press.

Komalasari, M. D., & Apriani, A. N. (2023). Integration Of The Living Values Education Program (LVEP) In The Merdeka Curriculum. Elementary School: Jurnal Pendidikan dan Pembelajaran ke-SD-an, 10(1), 61-69.

Hadi, A., Marniati, M., Ngindana, R., Kurdi, M. S., Kurdi, M. S., & Fauziah, F. (2023). New paradigm of merdeka belajar curriculum in schools. Al-Ishlah: Jurnal Pendidikan, 15(2), 1497-1510.

Siregar, L. F., Sumanik, N. B., & Christianto, H. (2022). Analysis of teacher’s ability in setting learning objectives, flow of learning objectives, and modules in the merdeka curriculum. In SHS Web of Conferences (Vol. 149, p. 01005). EDP Sciences.

Pratama, S., Ramadhan, I., Hardiansyah, M. A., Wahyudi, A., Febrianty, G. S., & Alam, F. (2023, June). Merdeka Curriculum: Learning Systems and Challenges at Islamic Schools in Pontianak City. In 3rd Borneo International Conference on Islamic Higher Education (BICIHE) 2023 (Vol. 1, No. 1, pp. 90-96).

Mukaromah, S. A., Gusmawan, A., & Munandar, J. (2022). The Lunge of Global Ideologies: The Challenges of Pancasila Ideology Education in the Middle of Global Existence in the Era of Globalization. Jurnal Panjar: Pengabdian Bidang Pembelajaran, 4(1), 1-30.

Suharto, T. (2018). Transnational Islamic education in Indonesia: an ideological perspective. Contemporary Islam, 12(2), 101-122.

Shofiana, G. F. (2014). Philosophy, Pancasila and modern technology. Yuridika, 29(2).

Pratikno, Y., Hermawan, E., & Arifin, A. L. (2022). Human resource ‘Kurikulum Merdeka’from design to implementation in the school: What worked and what not in Indonesian education. Jurnal Iqra': Kajian Ilmu Pendidikan, 7(1), 326-343.

Sihombing, A. A., Anugrahsari, S., Parlina, N., & Kusumastuti, Y. S. (2021). "Merdeka Belajar" in an Online Learning during the COVID-19 Outbreak: Concept and Implementation. Asian Journal of University Education, 17(4), 35-45.

Tricahyati, S., & Zaim, M. (2023). English Teachers’ Readiness in Implementation of ‘Merdeka Belajar’Curriculum in Teaching English at Junior High School in Padang. Journal of English Language Teaching, 12(1), 97-105.

Eyisi, D. (2016). The usefulness of qualitative and quantitative approaches and methods in researching problem-solving ability in science education curriculum. Journal of education and practice, 7(15), 91-100.

Nehru, N., Ananda, R., Zb, A., & Navalyyan, D. (2022). The Analysis of Mathematical Critical Thinking Ability and Mathematical Creativity: Judging from the Process of Deriving the Fermi-Dirac Formula. International Journal of Education and Teaching Zone, 1(2), 87-96.

Nurkhin, A., & Pramusinto, H. (2020). Problem-Based Learning Strategy: Its Impact on Students' Critical and Creative Thinking Skills. European Journal of Educational Research, 9(3), 1141-1150.

Rodriguez, M. Y., & Storer, H. (2020). A computational social science perspective on qualitative data exploration: Using topic models for the descriptive analysis of social media data. Journal of Technology in Human Services, 38(1), 54-86.

Boone, W. J., Staver, J. R., & Yale, M. S. (2013). Rasch analysis in the human sciences. Springer Science & Business Media.

Sumintono, B., & Widhiarso, W. (2014). Aplikasi model Rasch untuk penelitian ilmu-ilmu sosial (edisi revisi). Trim Komunikata Publishing House.

Darmana, A., Sutiani, A., Nasution, H. A., Ismanisa, I., & Nurhaswinda, N. (2021). Analysis of RASCH model for the validation of chemistry national exam instruments. Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education), 9(3), 329-345.

Fahmina, S. S., Masykuri, M., Ramadhani, D. G., & Yamtinah, S. (2019, December). Content validity uses Rasch model on computerized testlet instrument to measure chemical literacy capabilities. In AIP Conference Proceedings (Vol. 2194, No. 1). AIP Publishing.

Lundström, M., & Pesudovs, K. (2009). Catquest-9SF patient outcomes questionnaire: nine-item short-form Rasch-scaled revision of the Catquest questionnaire. Journal of Cataract & Refractive Surgery, 35(3), 504-513.

Eddy, L. H., Preston, N., Mon-Williams, M., Bingham, D. D., Atkinson, J. M., Ellingham-Khan, M., ... & Hill, L. J. (2021). Developing and validating a school-based screening tool of Fundamental Movement Skills (FUNMOVES) using Rasch analysis. PLoS One, 16(4), e0250002.

An, M., & Yu, X. (2021). A Rasch analysis of emerging adults’ health motivation questionnaire in higher education context. PLoS One, 16(3), e0248389.

Susilaningsih, E., Nuswowati, M., Aprilia, N., & Luthfiyah, A. (2021, June). Dissemination of test instruments as product of the development research to measure the problem-solving ability of class X students by online in the pandemic period. In Journal of Physics: Conference Series (Vol. 1918, No. 3, p. 032024). IOP Publishing.

Husni, H. (2020). The effect of inquiry-based learning on religious subjects learning activities: An experimental study in high schools. Jurnal Penelitian Pendidikan Islam, 8(1), 43-54.

Chin, C., & Osborne, J. (2008). Students' questions: a potential resource for teaching and learning science. Studies in science education, 44(1), 1-39.

Ingber, D. E. (2020). Is it time for reviewer 3 to request human organ chip experiments instead of animal validation studies?. Advanced Science, 7(22), 2002030.

Bouchée, T., de Putter-Smits, L., Thurlings, M., & Pepin, B. (2022). Towards a better understanding of conceptual difficulties in introductory quantum physics courses. Studies in Science Education, 58(2), 183-202.

Ningsih, F. N. (2022). Analysis of Students' Concession Understanding Ability in Solving Physics Concepts. International Journal of Education and Teaching Zone, 1(1), 26-33.

Filighera, A., Ochs, S., Steuer, T., & Tregel, T. (2024). Cheating automatic short answer grading with the adversarial usage of adjectives and adverbs. International Journal of Artificial Intelligence in Education, 34(2), 616-646.

Lopes, P. N., Côté, S., & Salovey, P. (2013). An ability model of emotional intelligence: Implications for assessment and training. In Linking emotional intelligence and performance at work (pp. 53-80). Psychology Press.

Alam, A. (2021, November). Possibilities and apprehensions in the landscape of artificial intelligence in education. In 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA) (pp. 1-8). IEEE.

Akkoyunlu, B. (2002). Educational technology in Turkey: Past, present and future. Educational Media International, 39(2), 165-174.

Ratten, V. (2020). Coronavirus (Covid-19) and the entrepreneurship education community. Journal of Enterprising Communities: People and Places in the Global Economy, 14(5), 753-764.

Zhao, Y., & Watterston, J. (2021). The changes we need: Education post COVID-19. Journal of educational change, 22(1), 3-12.

Azita, A., Ersalianda, D., Andri, M., Mukhlis, M., & Tandon, M. (2023). Differences in the implementation of the 2013 curriculum and the independent learning curriculum at SMAN 3 Siak Hulu. Lingeduca: Journal of Language and Education Studies, 2(2), 133-143.

Simamora, R. M., & Pasaribu, D. (2023). Education should embrace all potential: students’ reflective essays on the meaning of Merdeka Belajar. Studies in Learning and Teaching, 4(1), 68-87.

Aminudin, A. H., Kaniawati, İ., Suhendi, E., Samsudin, A., Coştu, B., & Adimayuda, R. (2019). Rasch analysis of Multitier Open-ended Light-Wave Instrument (MOLWI): Developing and assessing second-years sundanese-scholars alternative conceptions. Journal for the Education of Gifted Young Scientists, 7(3), 557-579.

Neumann, K., Viering, T., Boone, W. J., & Fischer, H. E. (2013). Towards a learning progression of energy. Journal of research in science teaching, 50(2), 162-188.

Cayubit, R. F. O. (2022). Why learning environment matters? An analysis on how the learning environment influences the academic motivation, learning strategies and engagement of college students. Learning Environments Research, 25(2), 581-599.

Gaol, R. L., & Sitepu, A. (2020). The Influence of Used Good-Based Learning Media on the Value of Chracter Education and Student's Motivation to Study. Budapest International Research and Critics in Linguistics and Education (BirLE) Journal, 3(4), 1696-1703.

Mulang, H. (2021). The effect of competences, work motivation, learning environment on human resource performance. Golden Ratio of Human Resource Management, 1(2), 84-93.

Nur, L., Nurani, L. A., Suryana, D., & Ahmad, A. (2020). Rasch model application on character development instrument for elementary school students. International Journal of Learning, Teaching and Educational Research, 19(3), 437-459.

Chan, S. W., Looi, C. K., Ho, W. K., Huang, W., Seow, P., & Wu, L. (2021). Learning number patterns through computational thinking activities: A Rasch model analysis. Heliyon, 7(9).

Chan, S. W., Looi, C. K., & Sumintono, B. (2021). Assessing computational thinking abilities among Singapore secondary students: A Rasch model measurement analysis. Journal of Computers in Education, 8(2), 213-236.

Edwards, A., & Alcock, L. (2010). Using Rasch analysis to identify uncharacteristic responses to undergraduate assessments. Teaching Mathematics and its Applications: An International Journal of the IMA, 29(4), 165-175.

Zeidler, D. L., Sadler, T. D., Simmons, M. L., & Howes, E. V. (2005). Beyond STS: A research‐based framework for socioscientific issues education. Science education, 89(3), 357-377.

Zulela, M. S., Neolaka, A., Iasha, V., & Setiawan, B. (2022). How is the education character implemented? The case study in Indonesian elementary school. Journal of Educational and Social Research, 12(1), 371.

Lestari, F. P., Ahmadi, F., & Rochmad, R. (2021). The Implementation of Mathematics Comic through Contextual Teaching and Learning to Improve Critical Thinking Ability and Character. European Journal of Educational Research, 10(1), 497-508.

Prasetyo, T., Rachmadtullah, R., Samsudin, A., & Aliyyah, R. R. (2021). General Teachers' Experience of the Brain's Natural Learning Systems-Based Instructional Approach in Inclusive Classroom. International Journal of Instruction, 14(3), 95-116.

DOI: http://dx.doi.org/10.26737/jipf.v9i2.4808