Artificial Intelligence as a Support for Arabic Language Learning in Higher Education with VOSviewer Analysis
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The world is increasingly showing the progress of human resources in the field of science and technology, and the development of knowledge about this technology also continues to accelerate rapidly with the discovery of many features that have sprung up to be utilized according to human technological needs. Especially in the field of education, the development of technology-based features is also increasing, supported by technology-based learning systems. Newly emerging learning systems, such as an online machine-based intelligence apk that performs class teaching movements according to the connection provided by humans, this effort is a type of association in the interaction between robots and humans with correspondences that are linked between signals and movements. In this case, the robot provides an educational learning system with a discourse recognition process. The use of robots in learning Arabic in higher education also shows how an educational institution designs the latest technology-based learning system with the use of online robots to assist the learning process in the classroom. This online robot learning system is closely related to the use of supporting wireless network cables in the online robot association; therefore, a bibliometric analysis will be carried out on the use of artificial intelligence in supporting Arabic language learning in higher education with the help of VOSviewer. The results of the VOSviewer overview will provide conclusions about the extent to which artificial intelligence effectively supports Arabic language learning in higher education.
Lie, A., Mina Tamah, S., - Gozali, I., Retno Triwidayati, K., Sari Diah Utami, T., & - Jemadi, F. (2020). Secondary School Language Teachers’ Online Learning Engagement during the Covid-19 Pandemic in Indonesia. Journal of Information Technology Education: Research, 19, 803–832. https://doi.org/10.28945/4626
Abbasi, S., Ayoob, T., Malik, A., & Memon, S. I. (2020). Perceptions of students regarding E-learning during Covid-19 at a private medical college. Pakistan Journal of Medical Sciences, 36(COVID19-S4), s57–s61. https://doi.org/10.12669/pjms.36.covid19-s4.2766
Abduljabbar, R. (2019). Applications of artificial intelligence in transport: An overview. Sustainability (Switzerland), 11(1). https://doi.org/10.3390/su11010189
Achar, P., Makisumi, S., Riche, S., & Williamson, G. (2018). Koszul duality for Kac–Moody groups and characters of tilting modules. Journal of the American Mathematical Society, 32(1), 261–310. https://doi.org/10.1090/jams/905
Aghabalaei, V., Nayeb, H., Mardani, S., Tabeshnia, M., & Baghdadi, M. (2023). Minimizing greenhouse gases emissions and energy consumption from wastewater treatment plants via rational design and engineering strategies: A case study in Mashhad, Iran. Energy Reports, 9, 2310–2320. https://doi.org/10.1016/j.egyr.2023.01.017
Ahn, K. H., & Lee, K.-S. (2021). Artificial intelligence in obstetrics. Korean Journal of Obstetrics & Gynecology, 65(2), 113–124. https://doi.org/10.5468/ogs.21234
Ahuja, V., & Nair, L. V. (2021). Artificial Intelligence and technology in COVID Era: A narrative review. Journal of Anaesthesiology, Clinical Pharmacology, 37(1), 28–34. https://doi.org/10.4103/joacp.joacp_558_20
Akbari, A., Gänzle, M. G., & Wu, J. (2023). Cruciferin improves stress resistance and simulated gastrointestinal survival of probiotic Limosilactobacillus reuteri in the model encapsulation system. Food Hydrocolloids for Health, 3, 100118. https://doi.org/10.1016/j.fhfh.2023.100118
Al Mamun, M. A., Azad, M. A. K., Al Mamun, M. A., & Boyle, M. (2021). Review of flipped learning in engineering education: Scientific mapping and research horizon. Education and Information Technologies, 27(1), 1261–1286. https://doi.org/10.1007/s10639-021-10630-z
Alam, S., Mahmud, I., Hoque, S. M. S., Akter, R., & Rana, S. M. S. (2022). Predicting students’ intention to continue business courses on online platforms during the Covid-19: An extended expectation confirmation theory. The International Journal of Management Education, 20(3), 100706. https://doi.org/10.1016/j.ijme.2022.100706
Alanazi, N., Khan, E., & Gutub, A. (2022). Inclusion of Unicode Standard seamless characters to expand Arabic text steganography for secure individual uses. Journal of King Saud University - Computer and Information Sciences, 34(4), 1343–1356. https://doi.org/10.1016/j.jksuci.2020.04.011
Albarrak, A. I., Zakaria, N., Almulhem, J., Khan, S. A., & Karim, N. A. (2021). Modified team-based and blended learning perception: A cohort study among medical students at King Saud University. BMC Medical Education, 21(1), 199. https://doi.org/10.1186/s12909-021-02639-2
Aldhahi, M. I., Alqahtani, A. S., Baattaiah, B. A., & Al-Mohammed, H. I. (2021). Exploring the relationship between students’ learning satisfaction and self-efficacy during the emergency transition to remote learning amid the coronavirus pandemic: A cross-sectional study. Education and Information Technologies, 27(1), 1323–1340. https://doi.org/10.1007/s10639-021-10644-7
Aljizawi, J., Dalloul, D., Ghryani, L., AlDabbagh, S., & Brahimi, T. (2021). A Survey of Artificial Intelligence Solutions in Response to the COVID-19 Pandemic in Saudi Arabia. Procedia Computer Science, 194, 190–201. https://doi.org/10.1016/j.procs.2021.10.073
Allam, Z. (2019). On big data, artificial intelligence and smart cities. Cities, 89(Query date: 2023-02-10 20:14:13), 80–91. https://doi.org/10.1016/j.cities.2019.01.032
Alshawish, E., El-Banna, M. M., & Alrimawi, I. (2021). Comparison of blended versus traditional classrooms among undergraduate nursing students: A quasi-experimental study. Nurse Education Today, 106, 105049. https://doi.org/10.1016/j.nedt.2021.105049
Alvarez, D. P. (2023). Study of Feasible Cell-Free Massive MIMO Systems in Realistic Indoor Scenarios (pub.1154630038). https://doi.org/10.4995/thesis/10251/191375
Amoussou, I., Agajie, T. F., Tanyi, E., & Khan, B. (2023). Technical and economic study of the replacement of LFO thermal power plant by hybrid PV-PHSS system in Northern Cameroon. Energy Reports, 9, 178–194. https://doi.org/10.1016/j.egyr.2022.11.181
Andika, E., Nurlani, L., Natalia, N., & Muwahhid, S. (2023). Implementasi Application Programmable Interface pada Sistem Manajemen Jaringan Berbasis Website. JTERA (Jurnal Teknologi Rekayasa), 7(2), 223. https://doi.org/10.31544/jtera.v7.i2.2022.223-232
Angelini, E., & Shah, A. (2021). Using Artificial Intelligence in Fungal Lung Disease: CPA CT Imaging as an Example. Mycopathologia, 186(5), 733–737. https://doi.org/10.1007/s11046-021-00546-0
Ara Shaikh, A., Kumar, A., Jani, K., Mitra, S., García-Tadeo, D. A., & Devarajan, A. (2021). The Role of Machine Learning and Artificial Intelligence for making a Digital Classroom and its sustainable Impact on Education during Covid-19. Materials Today: Proceedings, 56, 3211–3215. https://doi.org/10.1016/j.matpr.2021.09.368
Arruda, H., Silva, E. R., Lessa, M., Proença Jr., D., & Bartholo, R. (2022). VOSviewer and Bibliometrix. Journal of the Medical Library Association, 110(3), 392–395. https://doi.org/10.5195/jmla.2022.1434
Asha, P. K., Deepak, K., Prashanth, M. K., Parashuram, L., Devi, V. S. A., Archana, S., Shanavaz, H., Shashidhar, S., Prashanth, K. N., Kumar, K. Y., & Raghu, M. S. (2023). Ag decorated Zn-Al Layered Double Hydroxide for adsorptive removal of heavy metals and antimicrobial activity: Numerical Investigations, Statistical analysis and Kinetic studies. Environmental Nanotechnology, Monitoring & Management, 20, 100787. https://doi.org/10.1016/j.enmm.2023.100787
Bakytbekov, A., Nguyen, T. Q., Zhang, G., Strano, M. S., Salama, K. N., & Shamim, A. (2023). Synergistic multi-source ambient RF and thermal energy harvester for green IoT applications. Energy Reports, 9, 1875–1885. https://doi.org/10.1016/j.egyr.2023.01.027
Baldos, U. L. C., Viens, F. G., Hertel, T. W., & Fuglie, K. O. (2019). R&D Spending, Knowledge Capital, and Agricultural Productivity Growth: A Bayesian Approach. American Journal of Agricultural Economics, 101(1), 291–310. https://doi.org/10.1093/ajae/aay039
Banja, J. D., Hollstein, R. D., & Bruno, M. A. (2022). When Artificial Intelligence Models Surpass Physician Performance: Medical Malpractice Liability in an Era of Advanced Artificial Intelligence. Journal of the American College of Radiology, 19(7), 816–820. https://doi.org/10.1016/j.jacr.2021.11.014
Bélisle-Pipon, J.-C., Couture, V., Roy, M.-C., Ganache, I., Goetghebeur, M., & Cohen, I. G. (2021). What Makes Artificial Intelligence Exceptional in Health Technology Assessment? Frontiers in Artificial Intelligence, 4, 736697. https://doi.org/10.3389/frai.2021.736697
Benjamens, S. (2020). The state of artificial intelligence-based FDA-approved medical devices and algorithms: An online database. Npj Digital Medicine, 3(1). https://doi.org/10.1038/s41746-020-00324-0
Cascajares, M., Alcayde, A., Salmerón-Manzano, E., & Manzano-Agugliaro, F. (2021). The Bibliometric Literature on Scopus and WoS: The Medicine and Environmental Sciences Categories as Case of Study. International Journal of Environmental Research and Public Health, 18(11), 5851. https://doi.org/10.3390/ijerph18115851
Cervantes, S., López, S., & Cervantes, J.-A. (2020). Toward ethical cognitive architectures for the development of artificial moral agents. Cognitive Systems Research, 64, 117–125. https://doi.org/10.1016/j.cogsys.2020.08.010
De Blaquière, G., Nolan, J. E., & Wray, K. (2019). Joining up the dots: Telling the story of skills. How can students in Higher Education be supported to better understand and articulate their employability? Journal of Teaching and Learning for Graduate Employability, 10(2), 15–35. https://doi.org/10.21153/jtlge2019vol10no2art699
De Vries, A., Bliznyuk, N., & Pinedo, P. (2023). Invited Review: Examples and opportunities for artificial intelligence (AI) in dairy farms*. Applied Animal Science, 39(1), 14–22. https://doi.org/10.15232/aas.2022-02345
Dewi, R. (2020). Pemanafaatan Media 3 Dimensi Berbasis Virtual Reality Untuk Meningkatkan Minat Dan Hasil Belajar Ipa Siswa Kelas V Sd. Jurnal Pendidikan, Query date: 2023-01-25 12:50:00. http://jurnal.ut.ac.id/index.php/jp/article/view/732
Djeki, E., Dégila, J., Bondiombouy, C., & Alhassan, M. H. (2022). E-learning bibliometric analysis from 2015 to 2020. Journal of Computers in Education, 9(4), 727–754. https://doi.org/10.1007/s40692-021-00218-4
Elhoshi, D. R., Eissa, R. A., & El-Zanaty, A. M. (2023). MORPHOLOGICAL, BIOCHEMICAL AND MOLECULAR IDENTIFICATION OF 25 RHIZOBIUM LEGUMINOSARUM ISOLATES FROM FABA BEAN IN MENOFIA GOVERNORATE, EGYPT. Menoufia Journal of Agricultural Biotechnology, 7(4), 61–73. https://doi.org/10.21608/mjab.2023.278458
Elihami, E., & Syahid, A. (2018). Penerapan pembelajaran pendidikan agama islam dalam membentuk karakter pribadi yang islami. Edumaspul: Jurnal Pendidikan, Query date: 2023-01-25 12:50:00. https://ummaspul.e-journal.id/maspuljr/article/view/17
ERKOÇ, A., ERTAN, E., ALGAMAL, Z. Y., & AKAY, K. U. (2023). The beta Liu-type estimator: Simulation and application. Hacettepe Journal of Mathematics and Statistics, 1–13. https://doi.org/10.15672/hujms.1145607
Farooq, A., Laato, S., & Islam, A. K. M. N. (2020). Impact of Online Information on Self-Isolation Intention During the COVID-19 Pandemic: Cross-Sectional Study. Journal of Medical Internet Research, 22(5), e19128. https://doi.org/10.2196/19128
Hakim, A. (2020). Faktor Penyebab Anak Putus Sekolah. Jurnal Pendidikan, Query date: 2023-01-25 12:50:00. http://jurnal.ut.ac.id/index.php/jp/article/view/907
Horie, Y. (2019). Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks. Gastrointestinal Endoscopy, 89(1), 25–32. https://doi.org/10.1016/j.gie.2018.07.037
Hu, L., Bao, X., Wu, H., & Wu, W. (2020). A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data. Journal of Advanced Transportation, 2020, 1–7. https://doi.org/10.1155/2020/9084245
Humaisi, M. S., Thoyib, M., Arifin, I., Imron, A., & Sonhadji, A. (2019). Pesantren Education and Charismatic Leadership: A Qualitative Analysis Study on Quality Improvement of Islamic Education in Pondok Pesantren Nurul Jadid Paiton, Probolinggo. Universal Journal of Educational Research, 7(7), 1509–1516. https://doi.org/10.13189/ujer.2019.070704
Jia, K., Wang, P., Li, Y., Chen, Z., Jiang, X., Lin, C.-L., & Chin, T. (2022). Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research. Frontiers in Psychology, 13, 795039. https://doi.org/10.3389/fpsyg.2022.795039
Jiang, H., Yang, P., Liu, C., Kang, L., Zhang, X., Zhang, Z., & Fan, P. (2023). Probabilistic multi-energy flow calculation method for integrated heat and electricity systems considering correlation of source–load power. Energy Reports, 9, 1651–1667. https://doi.org/10.1016/j.egyr.2022.12.140
Kinghorn, W. A., Keyes, C. L. M., Parnell, H. E., Eagle, D. E., Biru, B. M., Amanya, C., Vann, V., Krishna Kaza, V. G., Tzudir, S., Saddo, Y. B., Whetten, K., & Proeschold-Bell, R. J. (2019). Putting virtues in context: Engaging the VIA classification of character strengths in caregiving for orphans and vulnerable children across cultures. The Journal of Positive Psychology, 14(6), 845–853. https://doi.org/10.1080/17439760.2019.1579363
Koçak, B. (2019). Radiomics with artificial intelligence: A practical guide for beginners. Diagnostic and Interventional Radiology, 25(6), 485–495. https://doi.org/10.5152/dir.2019.19321
Latifah, A., Hidayat, H., Mulyani, H., Fatimah, A., & ... (2020). Penerapan metode mind mapping untuk meningkatkan kreativitas pada pembelajaran pendidikan kewarganegaraan. … Pendidikan, Query date: 2023-01-25 12:50:00. http://jurnal.ut.ac.id/index.php/jp/article/view/546
Li, M., Du, W., & Wang, Z. (2023). Export globalization and pollution localization: Multivariate heterogeneous data based on Chinese enterprises. Energy Reports, 9, 472–483. https://doi.org/10.1016/j.egyr.2022.11.203
Li, Y., & Zhou, W. (2021). Knowledge mapping of Global Value Chain: A visual analysis using VOSviewer and CiteSpace. 2021 International Conference on Management Science and Software Engineering (ICMSSE), 77–85. https://doi.org/10.1109/ICMSSE53595.2021.00025
Lin, B., & Wu, S. (2021). Digital Transformation in Personalized Medicine with Artificial Intelligence and the Internet of Medical Things. OMICS: A Journal of Integrative Biology, 26(2), 77–81. https://doi.org/10.1089/omi.2021.0037
Liu, N., Shapira, P., & Yue, X. (2021). Tracking developments in artificial intelligence research: Constructing and applying a new search strategy. Scientometrics, 126(4), 3153–3192. https://doi.org/10.1007/s11192-021-03868-4
Liu, T., Jiao, W., Tian, X., & Zhang, X. (2023). Dispatching optimization of city gas station district energy systems with multiple uncertainties based on an improved affine arithmetic method. Energy Reports, 9, 37–47. https://doi.org/10.1016/j.egyr.2022.11.150
Maulidiyah, F. (2020). Media pembelajaran multimedia interaktif untuk anak tunagrahita ringan. Jurnal Pendidikan, Query date: 2023-01-25 12:50:00. http://journal.univetbantara.ac.id/index.php/jp/article/view/647
May, M. (2021). It’s kind of a funny story: Using comedy to articulate pain. Australasian Journal of Popular Culture, 10(1), 51–64. https://doi.org/10.1386/ajpc_00038_1
Mitek, A. (2022). Technology Basics for Telemedicine What Practitioners Need to Know. The Veterinary Clinics of North America. Small Animal Practice, 52(5), 1109–1122. https://doi.org/10.1016/j.cvsm.2022.06.003
Mourtzis, D., Panopoulos, N., Angelopoulos, J., Wang, B., & Wang, L. (2022). Human centric platforms for personalized value creation in metaverse. Journal of Manufacturing Systems, 65, 653–659. https://doi.org/10.1016/j.jmsy.2022.11.004
Nagy, M., Radakovich, N., & Nazha, A. (2022). Why Machine Learning Should Be Taught in Medical Schools. Medical Science Educator, 32(2), 529–532. https://doi.org/10.1007/s40670-022-01502-3
Polas, M. R. H., Afshar Jahanshahi, A., Kabir, A. I., Sohel-Uz-Zaman, A. S. Md., Osman, A. R., & Karim, R. (2022). Artificial Intelligence, Blockchain Technology, and Risk-Taking Behavior in the 4.0IR Metaverse Era: Evidence from Bangladesh-Based SMEs. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 168. https://doi.org/10.3390/joitmc8030168
Qays, O., Ahmad, I., Abu-Siada, A., Hossain, L., & Yasmin, F. (2023). Key communication technologies, applications, protocols and future guides for IoT-assisted smart grid systems: A review. Energy Reports, 9, 2440–2452. https://doi.org/10.1016/j.egyr.2023.01.085
Rahayu, M. (2020). Strategi Membangun Karakter Generasi Muda yang Beretika Pancasila dalam Kebhinekaan dalam Perspektif Keutuhan Negara Kesatuan Repiblik Indonesia. Jurnal Pendidikan, Query date: 2023-01-25 12:50:00. http://journal.univetbantara.ac.id/index.php/jp/article/view/490
Ramadhani, I. (2018). Pengembangan sistem informasi penjadwalan mata kuliah berbasis web di fakultas Teknik Universitas Negeri Makassar. Jurnal Pendidikan, Query date: 2023-01-25 12:50:00. https://unimuda.e-journal.id/jurnalpendidikan/article/view/36
Rizky Jumansyah, A. A. R. (2022). VOSviewer Application Analysis: Computational Physical Chemistry Case Study. Moroccan Journal of Chemistry, Vol. 10, Mor. J. Chem. 10 N°1 (2022) 091-101 Pages. https://doi.org/10.48317/IMIST.PRSM/MORJCHEM-V10I1.31756
Roth, G. A., Mensah, G. A., Johnson, C. O., Addolorato, G., Ammirati, E., Baddour, L. M., Barengo, N. C., Beaton, A. Z., Benjamin, E. J., Benziger, C. P., Bonny, A., Brauer, M., Brodmann, M., Cahill, T. J., Carapetis, J., Catapano, A. L., Chugh, S. S., Cooper, L. T., Coresh, J., … Fuster, V. (2020). Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019. Journal of the American College of Cardiology, 76(25), 2982–3021. https://doi.org/10.1016/j.jacc.2020.11.010
Sheng, Y., Wang, H., Yan, J., Liu, Y., & Han, S. (2023). Short-term wind power prediction method based on deep clustering-improved Temporal Convolutional Network. Energy Reports, 9, 2118–2129. https://doi.org/10.1016/j.egyr.2023.01.015
Soegoto, H., Soegoto, E. S., Luckyardi, S., & Rafdhi, A. A. (2021). A Bibliometric Analysis of Management Bioenergy Research Using Vosviewer Application. Indonesian Journal of Science and Technology, 7(1), 89–104. https://doi.org/10.17509/ijost.v7i1.43328
Tai, M. C.-T. (2020). The impact of artificial intelligence on human society and bioethics. Tzu-Chi Medical Journal, 32(4), 339–343. https://doi.org/10.4103/tcmj.tcmj_71_20
Talaviya, T. (2020). Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides. Artificial Intelligence in Agriculture, 4(Query date: 2023-02-10 20:14:13), 58–73. https://doi.org/10.1016/j.aiia.2020.04.002
Theodoraki, C., Audretsch, D. B., & Pastelakos, E. (2023). The Moderating Effect of Family Firm on SME Innovativeness and Internationalization. Revue de l’Entrepreneuriat, Pub. anticipées(0), ih–xxh. https://doi.org/10.3917/entre.pr.0046
Thurzo, A., Urbanová, W., Novák, B., Czako, L., Siebert, T., Stano, P., Mareková, S., Fountoulaki, G., Kosná?ová, H., & Varga, I. (2022). Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis. Healthcare, 10(7), 1269. https://doi.org/10.3390/healthcare10071269
Widiyono, A. (2020). Efektifitas perkuliahan daring (online) pada mahasiswa pgsd di saat pandemi covid 19. Jurnal Pendidikan, Query date: 2023-01-25 12:50:00. https://unimuda.e-journal.id/jurnalpendidikan/article/view/458
Yang, W., Kang, X., Wang, X., & Wang, M. (2023). MPC-based three-phase unbalanced power coordination control method for microgrid clusters. Energy Reports, 9(IEEE Trans. Ind. Electron. 57 8 2010), 1830–1841. https://doi.org/10.1016/j.egyr.2022.12.079
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