Utilization of mobile learning in improving arabic vocabulary in elementary schools

Authors

  • Devy Aisyah Universitas Islam Negeri Mahmud Yunus Batusangkar
  • Melisa Rezi Universitas Islam Negeri Imam Bonjol Padang
  • Adam Mudinillah Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar
  • Putri Julia Ningsi Universitas Islam Negeri Mahmud Yunus Batusangkar

DOI:

https://doi.org/10.12928/fundadikdas.v7i3.10576

Keywords:

Arabic Vocabulary, Elementary Schools, Mobile Learning

Abstract

Technological developments are indispensable in the world of education. Many schools are required to utilize mobile learning in the learning process. Educators can be more creative and innovative in using mobile learning to improve Arabic vocabulary at various levels, including elementary schools. This study aimed to determine the multiple benefits of mobile learning in improving Arabic vocabulary in elementary schools. This research method uses quantitative data from interviews and questionnaire dissemination. The questionnaire dissemination process is carried out online. The results showed that learning with mobile learning improves Arabic vocabulary in elementary schools. From the study, it can be concluded that mobile learning in improving Arabic vocabulary in elementary schools has proven effective and efficient. This is evidenced by the results of research that many elementary school students master increasing Arabic vocabulary. The limitation of this study is that researchers only research mobile learning, even though many other learning media can be used as alternatives in increasing Arabic vocabulary in elementary schools. Researchers hope that future researchers can conduct research related to increasing Arabic vocabulary by utilizing other learning media. This study also recommends further researchers to make research as a reference in improving Arabic vocabulary in elementary schools using mobile learning.

References

M. Kouhizadeh, S. Saberi, and J. Sarkis, “Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers,” Int. J. Prod. Econ., vol. 231, p. 107831, Jan. 2021, doi: 10.1016/j.ijpe.2020.107831.

S. (Sam) Kim, J. Kim, F. Badu-Baiden, M. Giroux, and Y. Choi, “Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic,” Int. J. Hosp. Manag., vol. 93, p. 102795, Feb. 2021, doi: 10.1016/j.ijhm.2020.102795.

M. Stoyanova, Y. Nikoloudakis, S. Panagiotakis, E. Pallis, and E. K. Markakis, “A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues,” IEEE Commun. Surv. Tutor., vol. 22, no. 2, pp. 1191–1221, 2020, doi: 10.1109/COMST.2019.2962586.

A. Khan, S. Gupta, and S. K. Gupta, “Multi-hazard disaster studies: Monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques,” Int. J. Disaster Risk Reduct., vol. 47, p. 101642, Aug. 2020, doi: 10.1016/j.ijdrr.2020.101642.

N. Govil, N. Raol, C. S. Tey, S. L. Goudy, and K. P. Alfonso, “Rapid telemedicine implementation in the context of the COVID-19 pandemic in an academic pediatric otolaryngology practice,” Int. J. Pediatr. Otorhinolaryngol., vol. 139, p. 110447, Dec. 2020, doi: 10.1016/j.ijporl.2020.110447.

Y. Kwon, Y. Yi, and S. Kim, “Perceived economic mobility increases subjective well‐being when perceived social support opens the door for others,” Int. J. Consum. Stud., vol. 46, no. 6, pp. 2429–2444, Nov. 2022, doi: 10.1111/ijcs.12796.

R. Huang, S. Zheng, Z. Liu, and T. Y. Ng, “Recent Advances of the Constitutive Models of Smart Materials — Hydrogels and Shape Memory Polymers,” Int. J. Appl. Mech., vol. 12, no. 02, p. 2050014, Mar. 2020, doi: 10.1142/S1758825120500143.

S. Nurfaidah, A. R. S. Tambunan, F. Yonata, D. Kurniawati, and R. P. D. Lestariyana, “International Students’ Perceptions of Virtual Service Learning Program Amidst COVID-19 Pandemic,” J. Int. Stud., vol. 10, no. S3, pp. 198–208, Nov. 2020, doi: 10.32674/jis.v10iS3.3207.

A. Amrina, A. Mudinillah, and M. Y. Al Ghazali, “Utilization of Audacity Media in yhe Lesson of Maharah Istima’,” EDUKATIF J. ILMU Pendidik., vol. 4, no. 1, pp. 1575–1583, 2022.

M. Zotova, T. Likhouzova, L. Shegai, and E. Korobeynikova, “The Use of MOOCS in Online Engineering Education,” Int. J. Eng. Pedagogy IJEP, vol. 11, no. 3, p. 157, May 2021, doi: 10.3991/ijep.v11i3.20411.

W. Y. B. Lim et al., “Federated Learning in Mobile Edge Networks: A Comprehensive Survey,” IEEE Commun. Surv. Tutor., vol. 22, no. 3, pp. 2031–2063, 2020, doi: 10.1109/COMST.2020.2986024.

L. Liu, J. Zhang, S. H. Song, and K. B. Letaief, “Client-Edge-Cloud Hierarchical Federated Learning,” in ICC 2020 - 2020 IEEE International Conference on Communications (ICC), Dublin, Ireland: IEEE, Jun. 2020, pp. 1–6. doi: 10.1109/ICC40277.2020.9148862.

D. Kuriakose and Z. Xiao, “Pathophysiology and Treatment of Stroke: Present Status and Future Perspectives,” Int. J. Mol. Sci., vol. 21, no. 20, p. 7609, Oct. 2020, doi: 10.3390/ijms21207609.

C. Corvalan et al., “Towards Climate Resilient and Environmentally Sustainable Health Care Facilities,” Int. J. Environ. Res. Public. Health, vol. 17, no. 23, p. 8849, Nov. 2020, doi: 10.3390/ijerph17238849.

B. Grešš Halász, L. Dimunová, I. Rónayová, V. Knap, and Ľ. Lizáková, “Advanced Practice Nursing in Cardiology: The Slovak Perspective for the Role Development and Implementation,” Int. J. Environ. Res. Public. Health, vol. 18, no. 16, p. 8543, Aug. 2021, doi: 10.3390/ijerph18168543.

W. Wu and A. Plakhtii, “E-Learning Based on Cloud Computing,” Int. J. Emerg. Technol. Learn. IJET, vol. 16, no. 10, p. 4, May 2021, doi: 10.3991/ijet.v16i10.18579.

D. Mulyadi, T. D. Wijayatingsih, R. E. Budiastuti, M. Ifadah, and S. Aimah, “Technological Pedagogical and Content Knowledge of ESP Teachers in Blended Learning Format,” Int. J. Emerg. Technol. Learn. IJET, vol. 15, no. 06, p. 124, Mar. 2020, doi: 10.3991/ijet.v15i06.11490.

L. Zhang, X. Zeng, and P. Lv, “Higher Education-Oriented Recommendation Algorithm for Personalized Learning Resource,” Int. J. Emerg. Technol. Learn. IJET, vol. 17, no. 16, pp. 4–20, Aug. 2022, doi: 10.3991/ijet.v17i16.33179.

G. Zhu, D. Liu, Y. Du, C. You, J. Zhang, and K. Huang, “Toward an Intelligent Edge: Wireless Communication Meets Machine Learning,” IEEE Commun. Mag., vol. 58, no. 1, pp. 19–25, Jan. 2020, doi: 10.1109/MCOM.001.1900103.

S. Modgil, R. K. Singh, and C. Hannibal, “Artificial intelligence for supply chain resilience: learning from Covid-19,” Int. J. Logist. Manag., vol. 33, no. 4, pp. 1246–1268, Oct. 2022, doi: 10.1108/IJLM-02-2021-0094.

M. A. Alobaidy and S. K. Ebraheem, “Application for Iraqi sign language translation on Android system,” Int. J. Electr. Comput. Eng. IJECE, vol. 10, no. 5, p. 5227, Oct. 2020, doi: 10.11591/ijece.v10i5.pp5227-5234.

S. S. A. Zaidi, M. S. Ansari, A. Aslam, N. Kanwal, M. Asghar, and B. Lee, “A survey of modern deep learning based object detection models,” Digit. Signal Process., vol. 126, p. 103514, Jun. 2022, doi: 10.1016/j.dsp.2022.103514.

S. Georganos et al., “Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling,” Geocarto Int., vol. 36, no. 2, pp. 121–136, Jan. 2021, doi: 10.1080/10106049.2019.1595177.

V. J. Lambert et al., “Religious Leaders as Trusted Messengers in Combatting Hypertension in Rural Tanzanian Communities,” Am. J. Hypertens., vol. 34, no. 10, pp. 1042–1048, Oct. 2021, doi: 10.1093/ajh/hpab080.

B. Shneiderman, “Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy,” Int. J. Human–Computer Interact., vol. 36, no. 6, pp. 495–504, Apr. 2020, doi: 10.1080/10447318.2020.1741118.

M. Zhao and W. Fu, “The resilience of parents who have children with autism spectrum disorder in China: a social culture perspective,” Int. J. Dev. Disabil., vol. 68, no. 2, pp. 207–218, Mar. 2022, doi: 10.1080/20473869.2020.1747761.

Y. K. Dwivedi et al., “Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy,” Int. J. Inf. Manag., vol. 57, p. 101994, Apr. 2021, doi: 10.1016/j.ijinfomgt.2019.08.002.

A. Abd-Alrazaq, D. Alhuwail, M. Househ, M. Hamdi, and Z. Shah, “Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study,” J. Med. Internet Res., vol. 22, no. 4, p. e19016, Apr. 2020, doi: 10.2196/19016.

C. P. Garg, “Modeling the e-waste mitigation strategies using grey-theory and DEMATEL framework,” J. Clean. Prod., vol. 281, p. 124035, Jan. 2021, doi: 10.1016/j.jclepro.2020.124035.

M. A. de F. Farias, M. G. de M. Neto, M. Kalinowski, and R. O. Spínola, “Identifying self-admitted technical debt through code comment analysis with a contextualized vocabulary,” Inf. Softw. Technol., vol. 121, p. 106270, May 2020, doi: 10.1016/j.infsof.2020.106270.

H. Kopnina, “Education for the future? Critical evaluation of education for sustainable development goals,” J. Environ. Educ., vol. 51, no. 4, pp. 280–291, Jul. 2020, doi: 10.1080/00958964.2019.1710444.

L. Corti and C. Gelati, “Mindfulness and Coaching to Improve Learning Abilities in University Students: A Pilot Study,” Int. J. Environ. Res. Public. Health, vol. 17, no. 6, p. 1935, Mar. 2020, doi: 10.3390/ijerph17061935.

A. R. Malik et al., “Exploring Artificial Intelligence in Academic Essay: Higher Education Student’s Perspective,” Int. J. Educ. Res. Open, vol. 5, p. 100296, Dec. 2023, doi: 10.1016/j.ijedro.2023.100296.

A. Amrina and A. Mudinillah, “Pemanfaatan Aplikasi Audacity pada Pembelajaran Istima’Kelas XI MAS Madinatun Najjah,” EL-IBTIKAR J. Pendidik. Bhs. Arab, vol. 10, no. 2, pp. 139–155, 2021.

M. L. Hakim, “PEMANFAATAN MEDIA PEMBELAJARAN GAME INTERAKTIF DALAM PEMBELAJARAN KOSAKATA BAHASA ARAB,” Arabi J. Arab. Stud., vol. 2, no. 2, p. 156, Mar. 2018, doi: 10.24865/ajas.v2i2.56.

Y. Ben, C. Fu, M. Hu, L. Liu, M. H. Wong, and C. Zheng, “Human health risk assessment of antibiotic resistance associated with antibiotic residues in the environment: A review,” Environ. Res., vol. 169, pp. 483–493, Feb. 2019, doi: 10.1016/j.envres.2018.11.040.

T. Li, A. K. Sahu, A. Talwalkar, and V. Smith, “Federated Learning: Challenges, Methods, and Future Directions,” IEEE Signal Process. Mag., vol. 37, no. 3, pp. 50–60, May 2020, doi: 10.1109/MSP.2020.2975749.

J. Paul and A. R. Criado, “The art of writing literature review: What do we know and what do we need to know?,” Int. Bus. Rev., vol. 29, no. 4, p. 101717, Aug. 2020, doi: 10.1016/j.ibusrev.2020.101717.

Published

2024-12-12

How to Cite

Aisyah, D. ., Rezi , M. ., Mudinillah, A., & Ningsi, P. J. . (2024). Utilization of mobile learning in improving arabic vocabulary in elementary schools. Jurnal Fundadikdas (Fundamental Pendidikan Dasar), 7(3). https://doi.org/10.12928/fundadikdas.v7i3.10576

Issue

Vol. 7 No. 3 (2024): November

Section

Articles

License

Copyright (c) 2024 Devy Aisyah, Melisa Rezi , Adam Mudinillah, Putri Julia Ningsi

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors who publish with Jurnal Fundadikdas (Fundamental Pendidikan Dasar) agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.