INTEGRASI ARTIFICIAL INTELLIGENCE DALAM ASESMEN PEMBELAJARAN BAHASA INDONESIA: PELUANG DAN TANTANGAN
INTEGRATION OF ARTIFICIAL INTELLIGENCE IN INDONESIAN LANGUAGE LEARNING ASSESSMENT: OPPORTUNITIES AND CHALLENGES
https://doi.org/10.51574/aufklarung.v5i3.4956
Keywords:
asesmen pembelajaran, Artificial Intelligence, Bahasa Indonesia, asesmen digital, HOTS, literasiAbstract
Penelitian ini bertujuan untuk mengkaji secara komprehensif peluang dan tantangan integrasi Artificial Intelligence dalam asesmen pembelajaran Bahasa Indonesia. Penelitian menggunakan pendekatan kualitatif dengan desain eksploratif-deskriptif yang melibatkan guru Bahasa Indonesia sebagai partisipan utama. Data dikumpulkan melalui wawancara mendalam, observasi, dan dokumentasi, kemudian dianalisis menggunakan model analisis interaktif yang meliputi reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa integrasi AI memberikan peluang signifikan dalam meningkatkan efisiensi penilaian, personalisasi asesmen, serta penyediaan umpan balik yang cepat dan adaptif. Selain itu, AI berpotensi mendukung pengembangan asesmen berbasis data yang mampu mengidentifikasi kesulitan belajar siswa secara lebih spesifik. Namun demikian, implementasi AI juga menghadapi berbagai tantangan, antara lain keterbatasan literasi digital guru, isu validitas dan reliabilitas penilaian, serta persoalan etika seperti bias algoritma dan perlindungan data. Temuan ini menegaskan bahwa integrasi AI dalam asesmen pembelajaran Bahasa Indonesia memerlukan pendekatan yang holistik, termasuk penguatan kompetensi guru, pengembangan model asesmen hibrida, serta dukungan kebijakan yang memadai. Penelitian ini berkontribusi dalam pengembangan kajian asesmen berbasis teknologi serta memberikan implikasi praktis bagi inovasi pembelajaran di era digital.
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References
Andrade, H. L., & Brookhart, S. M. (2019). Classroom assessment as the co-regulation of learning. Assessment in Education: Principles, Policy & Practice, 26(1), 1–17.
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage.
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Sage.
Dikli, S. (2006). An overview of automated scoring of essays. The Journal of Technology, Learning and Assessment, 5(1), 1–35.
Flick, U. (2018). An introduction to qualitative research (6th ed.). Sage.
Guest, G., Namey, E., & Chen, M. (2020). A simple method to assess and report thematic saturation in qualitative research. PLOS ONE, 15(5), e0232076.
Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Holmes, W., Persson, J., Chounta, I. A., Wasson, B., & Dimitrova, V. (2021). Artificial intelligence and education: A critical view. Learning, Media and Technology, 46(1), 1–18.
Ivankova, N. V., & Creswell, J. W. (2009). Mixed methods. In J. Heigham & R. A. Croker (Eds.), Qualitative research in applied linguistics. Palgrave Macmillan.
Koehler, M. J., & Mishra, P. (2009). What is technological pedagogical content knowledge (TPACK)? Teachers College Record, 111(7), 1017–1054.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson.
Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (3rd ed.). Sage.
Perelman, L. (2014). When “the state of the art” is counting words. Assessing Writing, 21, 104–111.
Redecker, C., & Johannessen, Ø. (2013). Changing assessment—Towards a new assessment paradigm using ICT. European Journal of Education, 48(1), 79–96.
Scherer, R., Siddiq, F., & Tondeur, J. (2021). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach. Computers & Education, 168, 104203.
Sabir, A., Suyitno, I., Susanto, G., & Inthase, W. (2024). The unlocking higher-order thinking: Bloom’s taxonomy and teacher questions in Indonesian language instruction. Lentera Pendidikan: Jurnal Ilmu Tarbiyah dan Keguruan, 27(1), 78–100. https://doi.org/10.24252/lp.2024v27n1i6
Shermis, M. D., & Burstein, J. (2013). Handbook of automated essay evaluation: Current applications and new directions. Routledge.
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 1–27.
