Mengintegrasikan teknologi AI dalam mengoptimalkan pembelajaran bagi Guru SD Muhammadiyah Kebumen
Abstract
Kecerdasan buatan memiliki potensi untuk merevolusi pendidikan dengan meningkatkan pengalaman belajar mengajar. Dengan mengintegrasikan teknologi AI, SD Muhammadiyah Kebumen dapat mengoptimalkan metode pengajarannya dan meningkatkan hasil belajar siswa secara keseluruhan. Namun, untuk berhasil mengintegrasikan teknologi AI ke dalam dunia pendidikan, diperlukan beberapa tantangan dan pertimbangan khusus. Tantangan-tantangan ini termasuk sifat aplikasi AI yang berorientasi pada keuntungan saat ini dalam pendidikan, kurangnya pengetahuan pedagogis di antara para pengembang AI, dan perlunya masukan dan kolaborasi dari para guru dalam proses pengembangan. Penelitian ini mengeksplorasi potensi pengintegrasian teknologi AI untuk mengoptimalkan pembelajaran di SD Muhammadiyah Kebumen. Metode penelitian ini merupakan gabungan dari beberapa metode, yang menggabungkan pendekatan kuantitatif dan kualitatif. Pendekatan kuantitatif akan melibatkan analisis data tentang metode pengajaran dan hasil pembelajaran di SD Muhammadiyah Kebumen. Pendekatan kualitatif akan mencakup melakukan wawancara dan survei untuk mengumpulkan wawasan dan persepsi dari para guru mengenai penggunaan dan efektivitas teknologi AI di kelas mereka. Hasil penelitian menunjukkan bahwa mengintegrasikan teknologi AI dalam pengajaran dapat meningkatkan kualitas dan efektivitas pengajaran, meningkatkan keterlibatan siswa dan pengalaman belajar yang dipersonalisasi, serta memberikan wawasan dan data yang berharga bagi guru untuk menginformasikan praktik pengajaran mereka. Skornya sekitar 3,78, menunjukkan sikap yang cukup positif terhadap AI di antara para responden. Penggunaan alat teknologi saat ini: Kategori ini mendapat skor tertinggi, dengan skor rata-rata sekitar 4,12, yang menunjukkan bahwa penggunaan alat teknologi saat ini cukup baik di antara para peserta. Manfaat yang dirasakan dari integrasi AI termasuk peningkatan hasil belajar siswa, peningkatan efisiensi dalam pengajaran, pengalaman belajar yang dipersonalisasi, keterlibatan yang lebih baik, dan akses ke data yang berharga untuk pengambilan keputusan yang tepat. Studi ini menemukan bahwa mengintegrasikan teknologi AI dalam pengajaran berpotensi mengoptimalkan pembelajaran di SD Muhammadiyah Kebumen
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D. T. K. Ng, J. K. L. Leung, J. Su, R. C. W. Ng, and S. K. W. Chu, “Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world,” Educational Technology Research and Development, vol. 71, no. 1, pp. 137–161, 2023, doi: 10.1007/s11423-023-10203-6.
H. S. Lee and J. Lee, “Applying artificial intelligence in physical education and future perspectives,” Sustainability (Switzerland), vol. 13, no. 1, pp. 1–16, 2021, doi: 10.3390/su13010351.
T. K. F. Chiu and C. S. Chai, “Sustainable curriculum planning for artificial intelligence education: A self-determination theory perspective,” Sustainability (Switzerland), vol. 12, no. 14, 2020, doi: 10.3390/su12145568.
M. Banerjee et al., “The impact of artificial intelligence on clinical education: perceptions of postgraduate trainee doctors in London (UK) and recommendations for trainers,” BMC Med Educ, vol. 21, no. 1, pp. 1–10, 2021, doi: 10.1186/s12909-021-02870-x.
H. Zhang, I. Lee, S. Ali, D. DiPaola, Y. Cheng, and C. Breazeal, “Integrating Ethics and Career Futures with Technical Learning to Promote AI Literacy for Middle School Students: An Exploratory Study,” Int J Artif Intell Educ, vol. 33, no. 2, pp. 290–324, 2023, doi: 10.1007/s40593-022-00293-3.
F. Ouyang, M. Wu, L. Zheng, L. Zhang, and P. Jiao, “Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course,” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, pp. 1–23, 2023, doi: 10.1186/s41239-022-00372-4.
K. Mageira, D. Pittou, A. Papasalouros, K. Kotis, P. Zangogianni, and A. Daradoumis, “Educational AI Chatbots for Content and Language Integrated Learning,” Applied Sciences (Switzerland), vol. 12, no. 7, 2022, doi: 10.3390/app12073239.
W. K. Antwi, T. N. Akudjedu, and B. O. Botwe, “Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives,” Insights Imaging, vol. 12, no. 1, 2021, doi: 10.1186/s13244-021-01028-z.
J. Chen, R. Li, M. Gan, Z. Fu, and F. Yuan, “Public Acceptance of Driverless Buses in China: An Empirical Analysis Based on an Extended UTAUT Model,” Discrete Dyn Nat Soc, vol. 2020, 2020, doi: 10.1155/2020/4318182.
J. Kim, H. Lee, and Y. H. Cho, Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education, vol. 27, no. 5. Springer US, 2022. doi: 10.1007/s10639-021-10831-6.
V. Dignum, “The role and challenges of education for responsible ai,” London Review of Education, vol. 19, no. 1, pp. 1–11, 2021, doi: 10.14324/LRE.19.1.01.
S. Coghlan, T. Miller, and J. Paterson, “Good Proctor or ‘Big Brother’? Ethics of Online Exam Supervision Technologies,” Philos Technol, vol. 34, no. 4, pp. 1581–1606, 2021, doi: 10.1007/s13347-021-00476-1.
A. Bozkurt, A. Karadeniz, D. Baneres, A. E. Guerrero-Roldán, and M. E. Rodríguez, “Artificial intelligence and reflections from educational landscape: A review of AI studies in half a century,” Sustainability (Switzerland), vol. 13, no. 2, pp. 1–16, 2021, doi: 10.3390/su13020800.
L. S. Huang, J. Y. Su, and T. L. Pao, “A context aware Smart classroom architecture for smart campuses,” Applied Sciences (Switzerland), vol. 9, no. 9, 2019, doi: 10.3390/app9091837.
K. W. Yau, C. S. Chai, T. K. F. Chiu, H. Meng, I. King, and Y. Yam, “A phenomenographic approach on teacher conceptions of teaching Artificial Intelligence (AI) in K-12 schools,” Educ Inf Technol (Dordr), vol. 28, no. 1, pp. 1041–1064, 2023, doi: 10.1007/s10639-022-11161-x.
S. A. Çalışkan, K. Demir, and O. Karaca, “Artificial intelligence in medical education curriculum: An e-Delphi study for competencies,” PLoS One, vol. 17, no. 7 July, pp. 1–11, 2022, doi: 10.1371/journal.pone.0271872.
M. Cukurova, R. Luckin, and C. Kent, Impact of an Artificial Intelligence Research Frame on the Perceived Credibility of Educational Research Evidence, vol. 30, no. 2. International Journal of Artificial Intelligence in Education, 2020. doi: 10.1007/s40593-019-00188-w.
W. Holmes et al., “Ethics of AI in Education: Towards a Community-Wide Framework,” Int J Artif Intell Educ, vol. 32, no. 3, pp. 504–526, 2022, doi: 10.1007/s40593-021-00239-1.
G. Cooper, “Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence,” J Sci Educ Technol, vol. 32, no. 3, pp. 444–452, 2023, doi: 10.1007/s10956-023-10039-y.
V. Kuleto et al., “Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions,” Sustainability (Switzerland), vol. 13, no. 18, pp. 1–16, 2021, doi: 10.3390/su131810424.
A. M. Cox, “Exploring the impact of Artificial Intelligence and robots on higher education through literature-based design fictions,” International Journal of Educational Technology in Higher Education, vol. 18, no. 1, 2021, doi: 10.1186/s41239-020-00237-8.
D. Schiff, “Out of the laboratory and into the classroom: the future of artificial intelligence in education,” AI Soc, vol. 36, no. 1, pp. 331–348, 2021, doi: 10.1007/s00146-020-01033-8.
C. Sit et al., “Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey,” Insights Imaging, vol. 11, no. 1, pp. 7–12, 2020, doi: 10.1186/s13244-019-0830-7.
T. Nadarzynski, O. Miles, A. Cowie, and D. Ridge, “Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study,” Digit Health, vol. 5, pp. 1–12, 2019, doi: 10.1177/2055207619871808.
S. Garg and S. Sharma, “Impact of artificial intelligence in special need education to promote inclusive pedagogy,” International Journal of Information and Education Technology, vol. 10, no. 7, pp. 523–527, 2020, doi: 10.18178/ijiet.2020.10.7.1418.
K. Porayska-Pomsta, “AI as a Methodology for Supporting Educational Praxis and Teacher Metacognition,” Int J Artif Intell Educ, vol. 26, no. 2, pp. 679–700, 2016, doi: 10.1007/s40593-016-0101-4.
B. Al Braiki, S. Harous, N. Zaki, and F. Alnajjar, “Artificial intelligence in education and assessment methods,” Bulletin of Electrical Engineering and Informatics, vol. 9, no. 5, pp. 1998–2007, 2020, doi: 10.11591/eei.v9i5.1984.
C. K. Y. Chan and W. Hu, “Students’ voices on generative AI: perceptions, benefits, and challenges in higher education,” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, 2023, doi: 10.1186/s41239-023-00411-8.
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