ETHNO-STEM: DESIGN OF A CROSS-MAJOR COURSE WITH JAVANESE GAMELAN-THEMED

Yeni Widiyawati, Indri Nurwahidah, Arie Wahyuni

Abstract


Indonesia has a considerable diversity of local wisdom in the form of customs, arts, and culture that deserves to be preserved. Integrating local Javanese Gamelan wisdom and the STEM field in learning at the university level to support the Independent Study Campus Curricula is essential. This research aims to develop an Ethno-STEM course design that studies gamelan to preserve Javanese culture. This study chose Morrison & Kemp's learning design development model, which includes nine main components. Based on the results of KKNI curriculum analysis, literature studies, and following the nine components of Morrison & Kemp’s model, the Ethno-STEM course design course is suitable for use in learning to support independent study.

 Abstrak

Indonesia merupakan negara yang kaya akan keberagaman kearifan lokal berupa adat istiadat, seni maupun budaya yang patut untuk dilestarikan.  Integrasi antara kearifan lokal Gamelan Jawa dengan bidang STEM dalam pembelajaran di tingkat perguruan tinggi dalam rangka mendukung Kurikulum Merdeka Belajar-Kampus Merdeka penting untuk dilakukan. Tujuan penelitian ini yaitu mengembangkan desain mata kuliah Ethno-STEM yang mengkaji mengenai gamelan dalam rangka melestarikan budaya  Jawa. Model pengembangan desain pembelajaran Morrison & Kemp dipilih dalam penelitian ini yang mencakup 9 komponen utama. Desain mata kuliah Ethno-STEM yang telah dikembangkan terdiri dari dokumen diantaranya yaitu model rancangan matakuliah, Rencana Pembelajaran Semester (RPS), bentuk penyetaraan SKS, rekonstruksi pembelajaran, bahan ajar, video serta aplikasi android berbasis augmented reality. Berdasarkan hsil analisis Kurikilum KKNI, kajian literatur, dan mengikuti kesembilan komponen Model Morrison & Kemp, desain mata kuliah Ethno-STEM layak untuk digunakan dalam pembelajaran untuk mendukung merdeka belajar.

 

How To Cite: Widiyawati, Y., Nurwahidah, I., Wahyuni, A. (2022). Ethno-Stem: Design of a Cross-Major Course with Javanese Gamelan-Themed. EDUSAINS, 14 (2) : 101-83


Keywords


Course design; ethno-STEM; gamelan; MBKM; merdeka belajar; Desain mata kuliah

Full Text:

PDF

References


Adams, D., Sumintono, B., Mohamed, A., & Noor, N. S. M. (2018). E-learning readiness among students of diverse backgrounds in a leading Malaysian higher education institution. Malaysian Journal of Learning and Instruction.

Adimayuda, R., Aminudin, A. H., Kaniawati, I., Suhendi, E., & Samsudin, A. (2020). A multitier open-ended momentum and impulse (MOMI) instrument: Developing and assessing quality of conception of 11th grade sundanese students with rasch analysis. International Journal of Scientific and Technology Research.

Arsad, N., Kamal, N., Ayob, A., Sarbani, N., Tsuey, C. S., Misran, N., & Husain, H. (2013). Model Rasch analysis on the effectiveness of early evaluation questions as a benchmark for new students ability. International Education Studies. https://doi.org/10.5539/ies.v6n6p185

Boone, W. J. (2016). Rasch analysis for instrument development: Why,when,and how? CBE Life Sciences Education. https://doi.org/10.1187/cbe.16-04-0148

Çalik, M., & Coll, R. K. (2012). Investigating Socioscientific Issues via Scientific Habits of Mind: Development and validation of the Scientific Habits of Mind Survey. International Journal of Science Education. https://doi.org/10.1080/09500693.2012.685197

Çalik, M., & Karataş, F. Ö. (2019). Does a “Science, Technology and Social Change” course improve scientific habits of mind and attitudes towards socioscientific issues? Australian Journal of Teacher Education. https://doi.org/10.14221/ajte.2018v44n6.3

Clements, D. H., Sarama, J. H., & Liu, X. H. (2008). Development of a measure of early mathematics achievement using the Model Rasch: The Research-Based Early Maths Assessment. Educational Psychology. https://doi.org/10.1080/01443410701777272

Coll, R. K., Taylor, N., & Lay, M. C. (2009). Scientists’ habits of mind as evidenced by the interaction between their science training and religious beliefs. International Journal of Science Education. https://doi.org/10.1080/09500690701762621

Costa, A. L., & Kallick, B. (2008). Learning and Leading with Habits of Mind : 16 Essential Characteristics for Success. In Association for Supervision and Curriculum Development.

Crick, B. (1998). Education for citizenship and the teaching of democracy in schools: Final report of the advisory group on citizenship. In Qualifications and Curriculum Authority, London.

DeMars, C. E. (2010). Item Theory Response. In Oxford University Press, Inc. (Vol. 66).

Ding, L. (2014). Seeking missing pieces in science concept assessments: Reevaluating the Brief Electricity and Magnetism Assessment through Rasch analysis. Physical Review Special Topics - Physics Education Research. https://doi.org/10.1103/PhysRevSTPER.10.010105

Ding, L., Wei, X., & Mollohan, K. (2016). Does Higher Education Improve Student Scientific Reasoning Skills? International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-014-9597-y

Fisher, W. P. (2007). Rating Scale Instrument Quality Criteria. Rasch Measurement Transactions.

Galili, I. (2019). Towards a Refined Depiction of Nature of Science. Science & Education. https://doi.org/10.1007/s11191-019-00042-4

Gauld, C. (1982). The scientific attitude and science education: A critical reappraisal. Science Education. https://doi.org/10.1002/sce.3730660113

Gauld, C. F. (2005). Habits of mind, scholarship and decision making in science and religion. Science and Education. https://doi.org/10.1007/s11191-004-1997-x

Ghulman, H. A., & Mas’odi, M. S. (2009). Modern measurement paradigm in engineering education: Easier to read and better analysis using rasch-based approach. 2009 International Conference on Engineering Education, ICEED2009 - Embracing New Challenges in Engineering Education. https://doi.org/10.1109/ICEED.2009.5490624

Griffin, P., McGaw, B., & Care, E. (2012). Assessment and teaching of 21st century skills. Spinger. https://doi.org/10.1007/978-94-007-2324-5

Hayat, M. S., Rustaman, N. Y., Rahmat, A., & Redjeki, S. (2019). Profile of life-long learning of prospective teacher in learning biology. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/1157/2/022083

Herrmann-Abell, C. F., & DeBoer, G. E. (2011). Using distractor-driven standards-based multiple-choice assessments and Model Rasching to investigate hierarchies of chemistry misconceptions and detect structural problems with individual items. Chemistry Education Research and Practice. https://doi.org/10.1039/c1rp90023d

Hizqiyah, I. Ya. N., Nurhadi, M., Widodo, A., & Riandi, R. (2019). Developing Habits of Mind through Web Based Learning Approach. 253(Aes 2018), 312–316. https://download.atlantis-press.com/proceedings/aes-18/55917366

Hodson, D. (2006). Why we should prioritize learning about science. Canadian Journal of Science, Mathematics and Technology Education. https://doi.org/10.1080/14926150609556703

Idris, Tengku, Sriyati, Siti, Rahmat, A. (2014). Pengaruh Asesmen Portofolio Terhadap Habits of Mind Dan Penguasaan Konsep Biologi Siswa Kelas Xi. Jurnal Pendidikan Biologi Universitas Negeri Malang.

Kassim, N. L. A. (2011). Judging behaviour and rater errors: An application of the many-facet Model Rasch. GEMA Online Journal of Language Studies, 3, 179–197.

Linacre, J. M. (1994). Sample Size and Item Calibration or Person Measure Stability. Rasch Measurement Transactions.

Long, C., Wendt, H., & Dunne, T. (2011). Applying Rasch measurement in mathematics education research: Steps towards a triangulated investigation into proficiency in the multiplicative conceptual field. Educational Research and Evaluation. https://doi.org/10.1080/13803611.2011.632661

Marzano, R. J., Pickering, D., & McTighe, J. (1993). Assessing Student Outcomes: Performance Assessment Using the Dimensions of Learning Model. Association for Supervision and Curriculum Development. https://files.eric.ed.gov/fulltext/ED461665.pdf

Mešić, V., Neumann, K., Aviani, I., Hasović, E., Boone, W. J., Erceg, N., Grubelnik, V., Sušac, A., Glamočić, D. S., Karuza, M., Vidak, A., AlihodŽić, A., & Repnik, R. (2019). Measuring students’ conceptual understanding of wave optics: A Model Rasching approach. Physical Review Physics Education Research. https://doi.org/10.1103/PhysRevPhysEducRes.15.010115

Nahadi, Firman, H., & Farina, J. (2015). Effect of feedback in formative assessment in the student learning activities on chemical course to the formation of habits of mind. Jurnal Pendidikan IPA Indonesia. https://doi.org/10.15294/jpii.v4i1.3499

Park, M., & Liu, X. (2019). An Investigation of Item Difficulties in Energy Aspects Across Biology, Chemistry, Environmental Science, and Physics. Research in Science Education. https://doi.org/10.1007/s11165-019-9819-y

Peter, J. P. (1981). Construct Validity: A Review of Basic Issues and Marketing Practices. Journal of Marketing Research. https://doi.org/10.2307/3150948

Planinic, M., Boone, W. J., Susac, A., & Ivanjek, L. (2019). Rasch analysis in physics education research: Why measurement matters. Physical Review Physics Education Research. https://doi.org/10.1103/PhysRevPhysEducRes.15.020111

Planinic, M., Ivanjek, L., & Susac, A. (2010). Model Rasch based analysis of the Force Concept Inventory. Physical Review Special Topics - Physics Education Research. https://doi.org/10.1103/PhysRevSTPER.6.010103

Purwanto, M. G., Suhandi, A., Coştu, B., Samsudin, A., & Nurtanto, M. (2020). Static fluid concept inventory (SFCI): A gender gap analysis using Model Rasch to promote a diagnostic test instrument on students’ conception. International Journal of Advanced Science and Technology.

Rasch, G. (1960). Studies in mathematical psychology: I. Probabilistic models for some intelligence and attainment tests.

Rashid, R. A., & Abdullah, R. (2008). Application of Rasch-based ESPEGS Model in Measuring Generic Skills of Engineering Students : A New Paradigm. Advances in Engineering Education.

Reise, S. P., Ainsworth, A. T., & Haviland, M. G. (2005). Item response theory: Fundamentals, applications, and promise in psychological research. Current Directions in Psychological Science. https://doi.org/10.1111/j.0963-7214.2005.00342.x

Romine, W. L., & Sadler, T. D. (2016). Measuring Changes in Interest in Science and Technology at the College Level in Response to Two Instructional Interventions. Research in Science Education. https://doi.org/10.1007/s11165-014-9452-8

Sadler, T. D. (2004). Informal reasoning regarding socioscientific issues: A critical review of research. In Journal of Research in Science Teaching. https://doi.org/10.1002/tea.20009

Saidfudin, M., Azrilah, A. A., Rodzo’An, N. A., Omar, M. Z., Zaharim, A., & Basri, H. (2010). Easier learning outcomes analysis using Model Rasch in engineering education research. International Conference on Engineering Education and International Conference on Education and Educational Technologies - Proceedings.

Samsudin, A., Fratiwi, N. J., Ramalis, T. R., Aminudin, A. H., Costu, B., & Nurtanto, M. (2020). Using rasch analysis to develop multi-representation of tier instrument on newton’s law (motion). International Journal of Psychosocial Rehabilitation. https://doi.org/10.37200/IJPR/V24I6/PR260865

Sapnas, K. G., & Zeller, R. A. (2002). Minimizing sample size when using exploratory factor analysis for measurement. Journal of Nursing Measurement. https://doi.org/10.1891/jnum.10.2.135.52552

Sriyati, M. S., Rustaman, N. Y., & Zainul, M. A. (2010). KONTRIBUSI ASESMEN FORMATIF TERHADAP HABITS OF MIND MAHASISWA BIOLOGI. Jurnal Pengajaran Matematika Dan Ilmu Pengetahuan Alam. https://doi.org/10.18269/jpmipa.v15i2.283

Steinkuehler, C., & Duncan, S. (2008). Scientific habits of mind in virtual worlds. Journal of Science Education and Technology. https://doi.org/10.1007/s10956-008-9120-8

Sumintono, B. (2017). Perceptions on Influence Tactics among Leaders in the Ministry of Education Malaysia : An Application of The Many Facets Model Rasch. International Conference On Public Policy, Social Computing And Development (ICOPOSDEV).

Sumintono, B., & Widhiarso, W. (2015a). Aplikasi Pemodelan Rasch pada Asesmen Pendidikan. Konferensi Guru Dan Dosen Nasional (KGDN) 2015.

Sumintono, B., & Widhiarso, W. (2015b). Aplikasi Permodelan Rasch Pada Assessment Pendidikan. In Aplikasi Permodelan Rasch Pada Assesment Pendidikan (Issue September).

Sumintono, B., & Widhiarso, W. (2015c). Aplikasi Permodelan Rasch Pada Assessment Pendidikan. In Aplikasi Permodelan Rasch Pada Assesment Pendidikan. Penerbit Trim Komunikata.

Summers, R., Wang, S., Abd-El-Khalick, F., & Said, Z. (2019). Comparing Likert Scale Functionality Across Culturally and Linguistically Diverse Groups in Science Education Research: an Illustration Using Qatari Students’ Responses to an Attitude Toward Science Survey. International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-018-9889-8

Susac, A., Planinic, M., Klemencic, D., & Milin Sipus, Z. (2018). Using the Model Rasch to analyze the test of understanding of vectors. Physical Review Physics Education Research. https://doi.org/10.1103/PhysRevPhysEducRes.14.023101

Susilowati, E., Hartini, S., Suyidno, Mayasari, T., & Winarno, N. (2018). Profile Habits of Mind Students in Physics Learning. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/1120/1/012055

Taasoobshirazi, G., Bailey, M. L., & Farley, J. (2015). Physics Metacognition Inventory Part II: Confirmatory factor analysis and Rasch analysis. International Journal of Science Education. https://doi.org/10.1080/09500693.2015.1104425

Tesio, L. (2003). Measuring behaviours and perceptions: Rasch analysis as a tool for rehabilitation research. Journal of Rehabilitation Medicine. https://doi.org/10.1080/16501970310010448

Ursachi, G., Horodnic, I. A., & Zait, A. (2015). How Reliable are Measurement Scales? External Factors with Indirect Influence on Reliability Estimators. Procedia Economics and Finance. https://doi.org/10.1016/s2212-5671(15)00123-9

Van Zile-Tamsen, C. (2017). Using Rasch Analysis to Inform Rating Scale Development. Research in Higher Education. https://doi.org/10.1007/s11162-017-9448-0

Wiyarsi, A., & Çalik, M. (2019). Revisiting the scientific habits of mind scale for socio-scientific issues in the Indonesian context. International Journal of Science Education. https://doi.org/10.1080/09500693.2019.1683912

Zeidler, D. L., Sadler, T. D., Simmons, M. L., & Howes, E. V. (2005). Beyond STS: A research-based framework for socioscientific issues education. In Science Education. https://doi.org/10.1002/sce.20048




DOI: https://doi.org/10.15408/es.v14i2.27974 Abstract - 0 PDF - 0

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Yeni Widiyawati, Indri Nurwahidah, Arie Wahyuni

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).

EDUSAINS.  P-ISSN:1979-7281
;E-ISSN:2443-1281

 Web Analytics Made Easy - StatCounterView My Stats

 

Â