Educational Technology Based on Artificial Intelligence in Supporting Distance Learning in Arabic Language Learning in Higher Education
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Nowadays, technological developments are increasingly widespread. In fact, the use of artificial intelligence-based technology is on the rise. Artificial intelligence technology is a managed tool that can facilitate human work. Artificial intelligence technology gets a high position in the educational process and even experiences development from time to time, namely from the school level to the college level. As the development of artificial intelligence technology began to be applied in the learning process. The purpose of this research is to find out that artificial intelligence technology can support distance learning in Arabic language learning in college and greatly help students in doing assignments. The method in this study is to use quantitative research methods where the data obtained is through the distribution of a questionnaire in which there are statements that will be answered by students. The questionnaire was distributed by utilizing the Google Form application. The results of this study explain that artificial intelligence technology is very suitable to be applied in the distance learning process and can support learning activities carried out in Arabic language learning in college. The conclusion of this research is that technology based on artificial intelligence is very appropriate to be used in the distance learning process, namely in Arabic language learning, because the use of intelligence technology is more effective and efficient and greatly helps humans in doing work. The limitation of this study is that researchers only conducted this research at the college level which in fact the learning process is carried out remotely. The researcher hopes that future researchers can develop the Arabic language learning process at a more advanced stage. This study also recommends to future researchers to make this research a reference in conducting research related to artificial intelligence technology.
Allam, Z., & Dhunny, Z. A. (2019). On big data, artificial intelligence and smart cities. Cities, 89, 80–91. https://doi.org/10.1016/j.cities.2019.01.032
Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., Chatila, R., & Herrera, F. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58, 82–115. https://doi.org/10.1016/j.inffus.2019.12.012
Dosilovic, F. K., Brcic, M., & Hlupic, N. (2018). Explainable artificial intelligence: A survey. 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 0210–0215. https://doi.org/10.23919/MIPRO.2018.8400040
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Gunning, D., & Aha, D. (2019). DARPA’s Explainable Artificial Intelligence (XAI) Program. AI Magazine, 40(2), 44–58. https://doi.org/10.1609/aimag.v40i2.2850
Gunning, D., Stefik, M., Choi, J., Miller, T., Stumpf, S., & Yang, G.-Z. (2019). XAI—Explainable artificial intelligence. Science Robotics, 4(37), eaay7120. https://doi.org/10.1126/scirobotics.aay7120
Hilburg, R., Patel, N., Ambruso, S., Biewald, M. A., & Farouk, S. S. (2020). Medical Education During the Coronavirus Disease-2019 Pandemic: Learning From a Distance. Advances in Chronic Kidney Disease, 27(5), 412–417. https://doi.org/10.1053/j.ackd.2020.05.017
Jamil, H., & Agung, N. (2022). Tantangan Pembelajaran Bahasa Arab Di Era Society 5.0: Analisis Pembelajaran Bahasa Arab Berbasis Aplikasi Interaktif. Alibbaa’: Jurnal Pendidikan Bahasa Arab, 3(1), 38–51. https://doi.org/10.19105/ajpba.v3i1.5536
Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586. https://doi.org/10.1016/j.bushor.2018.03.007
Kumar, V., Ramachandran, D., & Kumar, B. (2021). Influence of new-age technologies on marketing: A research agenda. Journal of Business Research, 125, 864–877. https://doi.org/10.1016/j.jbusres.2020.01.007
Lauder, H., Brown, P., & Cheung, S.-Y. (2018). Fractures in the education–economy relationship: The end of the skill bias technological change research programme? Oxford Review of Economic Policy, 34(3), 495–515. https://doi.org/10.1093/oxrep/gry008
Lell, M. M., & Kachelrieß, M. (2020). Recent and Upcoming Technological Developments in Computed Tomography: High Speed, Low Dose, Deep Learning, Multienergy. Investigative Radiology, 55(1), 8–19. https://doi.org/10.1097/RLI.0000000000000601
Li, L., Qin, L., Xu, Z., Yin, Y., Wang, X., Kong, B., Bai, J., Lu, Y., Fang, Z., Song, Q., Cao, K., Liu, D., Wang, G., Xu, Q., Fang, X., Zhang, S., Xia, J., & Xia, J. (2020). Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy. Radiology, 296(2), E65–E71. https://doi.org/10.1148/radiol.2020200905
Marek, M. W., Chew, C. S., & Wu, W. V. (2021). Teacher Experiences in Converting Classes to Distance Learning in the COVID-19 Pandemic: International Journal of Distance Education Technologies, 19(1), 89–109. https://doi.org/10.4018/IJDET.20210101.oa3
Mega Primaningtyas & Cahya Edi Setyawan. (2019). Urgensi Bahasa Arab dalam Pendidikan Islam di Era Revolusi Industri 4.0. SALIHA: Jurnal Pendidikan & Agama Islam, 2(2), 49–66. https://doi.org/10.54396/saliha.v2i2.29
Miller, T. (2019). Explanation in artificial intelligence: Insights from the social sciences. Artificial Intelligence, 267, 1–38. https://doi.org/10.1016/j.artint.2018.07.007
Muhimmatul Choiroh. (2021). EVALUASI PEMBELAJARAN BAHASA ARAB BERBASIS MEDIA E-LEARNING. Jurnal Naskhi: Jurnal Kajian Pendidikan dan Bahasa Arab, 3(1), 41–47. https://doi.org/10.47435/naskhi.v3i1.554
Sanga, M. W., & Brogdon, S. L. (2021). Designing for Distance Learning: Analyzing the Process of Redesigning Online Courses Using the Three Pillars Method. International Journal of Online Pedagogy and Course Design, 11(2), 62–72. https://doi.org/10.4018/IJOPCD.2021040105
Shi, F., Wang, J., Shi, J., Wu, Z., Wang, Q., Tang, Z., He, K., Shi, Y., & Shen, D. (2021). Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19. IEEE Reviews in Biomedical Engineering, 14, 4–15. https://doi.org/10.1109/RBME.2020.2987975
Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A. (2020). Artificial Intelligence (AI) applications for COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 337–339. https://doi.org/10.1016/j.dsx.2020.04.012
Yasin, A., Abdullah, A. F., & Syafrodin, A. N. S. (2023). Pengaruh Game Pembelajaran Bahasa Arab sebagai Sarana Pembelajaran Jarak Jauh. EduInovasi: Journal of Basic Educational Studies, 3(1), 160–173. https://doi.org/10.47467/edui.v3i1.3473
Mustaqim, A. H. (2020). Meredam Stigma dengan Komunikasi dan Sastra (Komunikasi Stigma dalam Cerpen Jenggo Karya Putu Wijaya). Wanastra?: Jurnal Bahasa dan Sastra, 12(1), Article 1. https://doi.org/10.31294/w.v12i1.7568
Noviyanti, S., Ansoriyah, S., & Tajuddin, S. (2023). Peran Gaya Bahasa dalam Membangun Wacana pada Novel Rasa Karya Tere Liye: Kajian Stilistika. Jurnal Onoma: Pendidikan, Bahasa, Dan Sastra, 9(2), Article 2. https://doi.org/10.30605/onoma.v9i2.2993
Nurhuda, A. (2022). Stylistic Analysis of Tere Liye’s Rindu Novel. Journal of Language Development and Linguistics, 1(2), Article 2. https://doi.org/10.55927/jldl.v1i2.2279
Pratyaksa, I. G. T. (2019). Strategi Komunikasi Persuasif oleh Opinion Leader dalam Implementasi Penggunaan Aksara Sastra dan Busana Adat Bali. Calathu: Jurnal Ilmu Komunikasi, 1(2), Article 2. https://doi.org/10.37715/calathu.v1i2.1016
Qin, F., Song, Y., Nassis, G. P., Zhao, L., Dong, Y., Zhao, C., Feng, Y., & Zhao, J. (2020). Physical Activity, Screen Time, and Emotional Well-Being during the 2019 Novel Coronavirus Outbreak in China. International Journal of Environmental Research and Public Health, 17(14), Article 14. https://doi.org/10.3390/ijerph17145170
Reverdy, J., Koutsombogera, M., & Vogel, C. (2020). Linguistic Repetition in Three-Party Conversations. In A. Esposito, M. Faundez-Zanuy, F. C. Morabito, & E. Pasero (Eds.), Neural Approaches to Dynamics of Signal Exchanges (pp. 359–370). Springer. https://doi.org/10.1007/978-981-13-8950-4_32
Shahin, I., Nassif, A. B., Nemmour, N., Elnagar, A., Alhudhaif, A., & Polat, K. (2021). Novel hybrid DNN approaches for speaker verification in emotional and stressful talking environments. Neural Computing and Applications, 33(23), 16033–16055. https://doi.org/10.1007/s00521-021-06226-w
Shuttleworth, R., Golden, B. L., Smith, S., & Wasil, E. (2008). Advances in Meter Reading: Heuristic Solution of the Close Enough Traveling Salesman Problem over a Street Network. In B. Golden, S. Raghavan, & E. Wasil (Eds.), The Vehicle Routing Problem: Latest Advances and New Challenges (pp. 487–501). Springer US. https://doi.org/10.1007/978-0-387-77778-8_22
Skains, R. L. (2010). The Shifting Author—Reader Dynamic: Online Novel Communities as a Bridge from Print to Digital Literature. Convergence, 16(1), 95–111. https://doi.org/10.1177/1354856509347713
Styarini, M., & Hartanto, E. C. S. (2023). Gothic Language Style in Demian Novel by Hermann Hesse: Stylistic Approach. Journal of Social, Culture, and Language, 1(2), Article 2. https://doi.org/10.21107/jscl.v1i2.22586
Thomas, B. (2020). Literature and Social Media. Routledge.
Vagin, V. N., & Os’kin, P. V. (2006). Heuristic and probabilistic methods for taking efficient readings in diagnostic systems. Journal of Computer and Systems Sciences International, 45(4), 584–598. https://doi.org/10.1134/S1064230706040101
Wagner, M., & McCurdy, K. (2010). Poetic rhyme reflects cross-linguistic differences in information structure. Cognition, 117(2), 166–175. https://doi.org/10.1016/j.cognition.2010.08.007
Wa-Mbaleka, S. (2020). The Researcher as an Instrument. In A. P. Costa, L. P. Reis, & A. Moreira (Eds.), Computer Supported Qualitative Research (pp. 33–41). Springer International Publishing. https://doi.org/10.1007/978-3-030-31787-4_3
Yilmaz, K. (2013). Comparison of Quantitative and Qualitative Research Traditions: Epistemological, theoretical, and methodological differences. European Journal of Education, 48(2), 311–325. https://doi.org/10.1111/ejed.12014
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