The Utilization of the Animiz Application as a Media for Arabic Language Learning on Students
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The lack of comprehension and interest of students in the material being taught is still felt today. Therefore, a breakthrough was created in the form of procurement of educational technology in the form of an applicative media called Animiz Animaker, especially in the realm of learning Arabic. The purpose of this research is to increase students' interest in learning Arabic by utilizing the Animiz Animaker application. Arabic, which is often considered difficult by many people, may become a subject that is considered fun after the application of the Animiz Animaker application. The form this research methodology is to use quantitative methods using an instrument in the form of research questionnaires distributed to schools that are the object of research. The population in this study were students of Islamic Elementery, and then the sample was selected using a random sampling technique or where the sample was chosen at random. The sample size was found to be 30 students. The results of this study indicate that there is an increase in students' interest in learning Arabic by utilizing the Animiz application at Islamic Elementery. Based on the results of this study, it is known that the use of the Animiz application in learning Arabic can be applied, so it is highly expected that the patience of the educators to prepare this as well as possible.
Abbas, J., Wang, D., Su, Z., & Ziapour, A. (2021). The Role of Social Media in the Advent of COVID-19 Pandemic: Crisis Management, Mental Health Challenges and Implications. Risk Management and Healthcare Policy, Volume 14, 1917–1932. https://doi.org/10.2147/RMHP.S284313
Abdi, A., Shamsuddin, S. M., Hasan, S., & Piran, J. (2019). Deep learning-based sentiment classification of evaluative text based on Multi-feature fusion. Information Processing & Management, 56(4), 1245–1259. https://doi.org/10.1016/j.ipm.2019.02.018
Abdrakhmanova, M., Kuzdeuov, A., Jarju, S., Khassanov, Y., Lewis, M., & Varol, H. A. (2021). SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams. Sensors, 21(10), 3465. https://doi.org/10.3390/s21103465
Alnahdi, G. H. (2019). Rasch validation of the Arabic version of the Teacher Efficacy for Inclusive Practices (TEIP) scale. Studies in Educational Evaluation, 62, 104–110. https://doi.org/10.1016/j.stueduc.2019.05.004
Althagafi, A., Althobaiti, G., Alhakami, H., & Alsubait, T. (2021). Arabic Tweets Sentiment Analysis about Online Learning during COVID-19 in Saudi Arabia. International Journal of Advanced Computer Science and Applications, 12(3). https://doi.org/10.14569/IJACSA.2021.0120373
Ameliola, S., & Nugraha, H. D. (2015). Perkembangan Media Informasi dan Teknologi Terhadap Anak dalam Era Globalisasi. Perkembangan Media Informasidan Teknologi Terhadap Perkembangan Anak, 2, 400.
American Diabetes Association. (2020). 13. Children and Adolescents: Standards of Medical Care in Diabetes?2020. Diabetes Care, 43(Supplement_1), S163–S182. https://doi.org/10.2337/dc20-S013
Amin, T., & Badreddine, D. (2020). Teaching science in Arabic: Diglossia and discourse patterns in the elementary classroom. International Journal of Science Education, 42(14), 2290–2330. https://doi.org/10.1080/09500693.2019.1629039
Anggraeny, F. T., Wahanani, H. E., Akbar, F. A., Raharjo, M. I. P., & Rizkyando, S. (2021). Peningkatan Ketrampilan Kreativitas Desain Grafis Digital Siswa SMU Menggunakan Aplikasi CANVA pada Ponsel Pintar. Journal of Approriate Technology for Community Services, 2(2), 86–91. https://doi.org/10.20885/jattec.vol2.iss2.art5
Annisa, N. (2021). Pengembangan Media Pembelajaran Berbasis Website Pada Materi Sortasi Dan Grading. Edufortech, 6(1). https://doi.org/10.17509/edufortech.v6i1.33290
Antony-Newman, M. (2019). Parental involvement of immigrant parents: A meta-synthesis. Educational Review, 71(3), 362–381. https://doi.org/10.1080/00131911.2017.1423278
Aubrey, S., King, J., & Almukhaild, H. (2022). Language Learner Engagement During Speaking Tasks: A Longitudinal Study. RELC Journal, 53(3), 519–533. https://doi.org/10.1177/0033688220945418
Bondy, B., Klages, U., Müller-Spahn, F., & Hock, C. (1994). Cytosolic free [Ca2+] in mononuclear blood cells from demented patients and healthy controls. European Archives of Psychiatry and Clinical Neuroscience, 243(5), 224–228. https://doi.org/10.1007/BF02191578
Botero, U. J., Wilson, R., Lu, H., Rahman, M. T., Mallaiyan, M. A., Ganji, F., Asadizanjani, N., Tehranipoor, M. M., Woodard, D. L., & Forte, D. (2021). Hardware Trust and Assurance through Reverse Engineering: A Tutorial and Outlook from Image Analysis and Machine Learning Perspectives. ACM Journal on Emerging Technologies in Computing Systems, 17(4), 1–53. https://doi.org/10.1145/3464959
Brosh, H. Y. (2019). Arabic language-learning strategy preferences among undergraduate students. Studies in Second Language Learning and Teaching, 9(2), 351–377. https://doi.org/10.14746/ssllt.2019.9.2.5
Bruggeman, B., Tondeur, J., Struyven, K., Pynoo, B., Garone, A., & Vanslambrouck, S. (2021). Experts speaking: Crucial teacher attributes for implementing blended learning in higher education. The Internet and Higher Education, 48, 100772. https://doi.org/10.1016/j.iheduc.2020.100772
Chekroud, A. M., Bondar, J., Delgadillo, J., Doherty, G., Wasil, A., Fokkema, M., Cohen, Z., Belgrave, D., DeRubeis, R., Iniesta, R., Dwyer, D., & Choi, K. (2021). The promise of machine learning in predicting treatment outcomes in psychiatry. World Psychiatry, 20(2), 154–170. https://doi.org/10.1002/wps.20882
Chengaiyan, S., Retnapandian, A. S., & Anandan, K. (2020). Identification of vowels in consonant–vowel–consonant words from speech imagery based EEG signals. Cognitive Neurodynamics, 14(1), 1–19. https://doi.org/10.1007/s11571-019-09558-5
Dahou, A., Elaziz, M. A., Zhou, J., & Xiong, S. (2019). Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm. Computational Intelligence and Neuroscience, 2019, 1–16. https://doi.org/10.1155/2019/2537689
Deiri, Y. (2023). Teaching Arabic to children and youth in the United States: Between love and indictment. International Journal of Bilingual Education and Bilingualism, 26(7), 817–829. https://doi.org/10.1080/13670050.2021.1989372
Dwijayani, N. M. (2019). Development of circle learning media to improve student learning outcomes. Journal of Physics: Conference Series, 1321(2), 171–187. https://doi.org/10.1088/1742-6596/1321/2/022099
Ferjan Ramírez, N., Lytle, S. R., & Kuhl, P. K. (2020). Parent coaching increases conversational turns and advances infant language development. Proceedings of the National Academy of Sciences, 117(7), 3484–3491. https://doi.org/10.1073/pnas.1921653117
Ghani, N. A., Hamid, S., Targio Hashem, I. A., & Ahmed, E. (2019). Social media big data analytics: A survey. Computers in Human Behavior, 101, 417–428. https://doi.org/10.1016/j.chb.2018.08.039
Giordano, P. C., Copp, J. E., Manning, W. D., & Longmore, M. A. (2019). Linking parental incarceration and family dynamics associated with intergenerational transmission: A life?course perspective*. Criminology, 57(3), 395–423. https://doi.org/10.1111/1745-9125.12209
Hadi, I. P. (2010). Perkembangan Teknologi Komunikasi Dalam Era Jurnalistik Modern. Scriptura, 3(1), 69–84. https://doi.org/10.9744/scriptura.3.1.69-84
Hapsari, Gita Permata Puspita., & Z. (2021). Analysis Of The Needs of Animated Video Media Based on The Canva Application in Science. Pancasakti Science Education Journal, 6(1), 22–29. https://doi.org/10.24905/psej.v6i1.43
Hwangbo, J., Lee, J., Dosovitskiy, A., Bellicoso, D., Tsounis, V., Koltun, V., & Hutter, M. (2019). Learning agile and dynamic motor skills for legged robots. Science Robotics, 4(26), eaau5872. https://doi.org/10.1126/scirobotics.aau5872
Karlsson, A., Nygård Larsson, P., & Jakobsson, A. (2020). The continuity of learning in a translanguaging science classroom. Cultural Studies of Science Education, 15(1), 1–25. https://doi.org/10.1007/s11422-019-09933-y
Lalmuanawma, S., Hussain, J., & Chhakchhuak, L. (2020). Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review. Chaos, Solitons & Fractals, 139, 110059. https://doi.org/10.1016/j.chaos.2020.110059
Levine, D., Pace, A., Luo, R., Hirsh-Pasek, K., Michnick Golinkoff, R., De Villiers, J., Iglesias, A., & Sweig Wilson, M. (2020). Evaluating socioeconomic gaps in preschoolers’ vocabulary, syntax and language process skills with the Quick Interactive Language Screener (QUILS). Early Childhood Research Quarterly, 50, 114–128. https://doi.org/10.1016/j.ecresq.2018.11.006
Li, C., Wang, J., Wang, Y., Gao, H., Wei, G., Huang, Y., Yu, H., Gan, Y., Wang, Y., Mei, L., Chen, H., Hu, H., Zhang, Z., & Jin, Y. (2019). Recent progress in drug delivery. Acta Pharmaceutica Sinica B, 9(6), 1145–1162. https://doi.org/10.1016/j.apsb.2019.08.003
Li, Z., Shen, H., Cheng, Q., Liu, Y., You, S., & He, Z. (2019). Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors. ISPRS Journal of Photogrammetry and Remote Sensing, 150, 197–212. https://doi.org/10.1016/j.isprsjprs.2019.02.017
Paico Campos, M. M., Ramos-Cosi, S., & Andrade-Arenas, L. (2023). SAFE Mobile Application: Prevention of Violence Against Women. International Journal of Engineering Trends and Technology, 71(12), 299–307. https://doi.org/10.14445/22315381/IJETT-V71I12P228
Pinquart, M., & Ebeling, M. (2020). Parental Educational Expectations and Academic Achievement in Children and Adolescents—A Meta-analysis. Educational Psychology Review, 32(2), 463–480. https://doi.org/10.1007/s10648-019-09506-z
Rashwan, H. (2023). Intellectual Decolonization and Harmful Nativism: Arabic Knowledge Production of Ancient Egyptian Literature. Interventions, 1–38. https://doi.org/10.1080/1369801X.2022.2161054
Rasyid, H. Al. (2017). Pengaruh Kualitas Layanan Dan Pemanfaatan Teknologi Terhadap Kepuasan Dan Loyalitas Pelanggan Go-Jek. Jurnal Ecodemica: Jurnal Ekonomi, Manajemen, dan Bisnis, 1(2), 210–223. https://doi.org/10.31311/jeco.v1i2.2026
Ribeiro, L. M., Cunha, R. S., Silva, M. C. A. E., Carvalho, M., & Vital, M. L. (2021). Parental Involvement during Pandemic Times: Challenges and Opportunities. Education Sciences, 11(6), 302. https://doi.org/10.3390/educsci11060302
Ritonga, M., Asrina, A., Widayanti, R., Alrasi, F., Julhadi, J., & Halim, S. (2020). Analysis of Arabic Language Learning at Higher Education Institutions with Multi-Religion Students. Universal Journal of Educational Research, 8(9), 4333–4339. https://doi.org/10.13189/ujer.2020.080960
Rosowsky, A. (2019). Sacred language acquisition in superdiverse contexts. Linguistics and Education, 53, 100751. https://doi.org/10.1016/j.linged.2019.100751
Saada, N., & Gross, Z. (2019). The experiences of Arab teachers in Jewish schools in Israel. Teaching and Teacher Education, 79, 198–207. https://doi.org/10.1016/j.tate.2018.11.012
Serevina, V., & Hamidah, I. (2022). Science, Technology, Engineering, and Math (STEM) based Geothermal Energy Source Digital Module Assisted by Canva Application. Journal of Physics: Conference Series, 2377(1), 012063. https://doi.org/10.1088/1742-6596/2377/1/012063
Sharif Matthews, J., & López, F. (2019). Speaking their language: The role of cultural content integration and heritage language for academic achievement among Latino children. Contemporary Educational Psychology, 57, 72–86. https://doi.org/10.1016/j.cedpsych.2018.01.005
Szczepek Reed, B., Said, F., Davies, I., & Bengsch, G. (2020). Arabic complementary schools in England: Language and Fundamental British Values. Language, Culture and Curriculum, 33(1), 50–65. https://doi.org/10.1080/07908318.2019.1569674
Ting, D. S. W., Peng, L., Varadarajan, A. V., Keane, P. A., Burlina, P. M., Chiang, M. F., Schmetterer, L., Pasquale, L. R., Bressler, N. M., Webster, D. R., Abramoff, M., & Wong, T. Y. (2019). Deep learning in ophthalmology: The technical and clinical considerations. Progress in Retinal and Eye Research, 72, 100759. https://doi.org/10.1016/j.preteyeres.2019.04.003
Tlili, A., Huang, R., Shehata, B., Liu, D., Zhao, J., Metwally, A. H. S., Wang, H., Denden, M., Bozkurt, A., Lee, L.-H., Beyoglu, D., Altinay, F., Sharma, R. C., Altinay, Z., Li, Z., Liu, J., Ahmad, F., Hu, Y., Salha, S., … Burgos, D. (2022). Is Metaverse in education a blessing or a curse: A combined content and bibliometric analysis. Smart Learning Environments, 9(1), 24. https://doi.org/10.1186/s40561-022-00205-x
Toivonen, T., Heikinheimo, V., Fink, C., Hausmann, A., Hiippala, T., Järv, O., Tenkanen, H., & Di Minin, E. (2019). Social media data for conservation science: A methodological overview. Biological Conservation, 233, 298–315. https://doi.org/10.1016/j.biocon.2019.01.023
Yi??i?T, A., & I?ik, Z. (2020). Applying deep learning models to structural MRI for stage prediction of Alzheimer’s disease. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 28(1), 196–210. https://doi.org/10.3906/elk-1904-172
Yoon, Y., Cha, B., Lee, J.-H., Jang, M., Lee, J., Kim, J., & Lee, G. (2020). Speech gesture generation from the trimodal context of text, audio, and speaker identity. ACM Transactions on Graphics, 39(6), 1–16. https://doi.org/10.1145/3414685.3417838
Zhang, W., Liu, Y., & Guo, Z. (2019). Approaching high-performance potassium-ion batteries via advanced design strategies and engineering. Science Advances, 5(5), eaav7412. https://doi.org/10.1126/sciadv.aav7412
Zhu, L., Gao, M., Peh, C. K. N., & Ho, G. W. (2019). Recent progress in solar-driven interfacial water evaporation: Advanced designs and applications. Nano Energy, 57, 507–518. https://doi.org/10.1016/j.nanoen.2018.12.046
Züst, M. A., Ruch, S., Wiest, R., & Henke, K. (2019). Implicit Vocabulary Learning during Sleep Is Bound to Slow-Wave Peaks. Current Biology, 29(4), 541-553.e7. https://doi.org/10.1016/j.cub.2018.12.038
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