Implementation of Hybrid Learning Models in Islamic Universities in Asian Countries

Authors

  • Muhammad Lukman Haris Firmansah Universitas Persatuan Guru Repoblik Indonesia Ronggolawe
  • Allan Firman Jaya Universitas Persatuan Guru Repoblik Indonesia Ronggolawe
  • Nurul Agustin Sekolah Tinggi Agama Islam Al Azhar Menganti Gresik
  • Maslakhah Witri Kusuma Dewi Student of Universitas Persatuan Guru Repoblik Indonesia Ronggolawe Tuban

DOI:

https://doi.org/10.55849/jete.v1i1.199

Keywords:

E-comics, Learning Media, Skills

Abstract

Background. At this time technology has experienced increasingly advanced developments over time. Technology plays an important role in helping the learning process, the atmosphere in learning will be helped by the existence of learning methods such as the implementation of the hybrid model.

Purpose. This study aims to determine the implementation of the hybrid learning model in Islamic universities in Asian countries.In this study, researchers conducted research using quantitative methods.

Method. The results of this study indicate that this hybrid learning can be used as a learning model that is very suitable in tertiary institutions because it can create a conducive and effective learning atmosphere.

Results. . From this research it can be concluded that the hybrid learning model can help students learn through content and instructions that are obtained online independently.

Conclusion. The limitation in this study is that the researcher only conducted research at one of the universities located in Tanah Datar district, for this reason the researcher hopes that the next researcher will be able to conduct the same research, but in a different place so that he can continue this research.in Asian Country

References

Abu-Ras, W., Birani, A., Suarez, ZE, & Arfken, CL (2022). Palestinian Muslim College Students' Attitudes to Mental Health Treatment: A Comparative Study. International Journal of Environmental Research and Public Health, 19(23), 16005.https://doi.org/10.3390/ijerph192316005

Acikkar, M., & Akay, MF (2009). Support vector machines for predicting the admission decision of a candidate to the School of Physical Education and Sports at Cukurova University. Expert Systems with Applications, 36(3), 7228–7233.https://doi.org/10.1016/j.eswa.2008.09.007

Aljehani, HA (2019). Impact of Social Media on Social Value Systems among University Students in Saudi Arabia. International Journal of Education and Practice, 7(3), 216–229.https://doi.org/10.18488/journal.61.2019.73.216.229

Alturise, F. (2020). Evaluation of Blackboard Learning Management System for Full Online Courses in Western Branch Colleges of Qassim University. International Journal of Emerging Technologies in Learning (IJET), 15(15), 33.https://doi.org/10.3991/ijet.v15i15.14199

Basavarajappa, PS, Patil, SB, Ganganagappa, N., Reddy, KR, Raghu, AV, & Reddy, Ch. V. (2020). Recent progress in metal-doped TiO2, non-metal doped/codoped TiO2 and TiO2 nanostructured hybrids for enhanced photocatalysis. International Journal of Hydrogen Energy, 45(13), 7764–7778.https://doi.org/10.1016/j.ijhydene.2019.07.241

Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: A literature review. International Journal of Production Research, 57(15–16), 4719–4742.https://doi.org/10.1080/00207543.2017.1402140

Bhatla, N., Aoki, D., Sharma, DN, & Sankaranarayanan, R. (2018). Cancer of the cervix uteri. International Journal of Gynecology & Obstetrics, 143, 22–36.https://doi.org/10.1002/ijgo.12611

Bin Abdulrahman, KA, Alghamdi, HA, Alfaleh, RS, Albishri, WS, Almuslamani, WB, Alshakrah, AM, Alsuwailem, HM, & Alkhelaiwi, SA (2022). Smoking Habits among College Students at a Public University in Riyadh, Saudi Arabia. International Journal of Environmental Research and Public Health, 19(18), 11557.https://doi.org/10.3390/ijerph191811557

Cavalcante, IM, Frazzon, EM, Forcellini, FA, & Ivanov, D. (2019). A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing. International Journal of Information Management, 49, 86–97.https://doi.org/10.1016/j.ijinfomgt.2019.03.004

Dalenogare, LS, Benitez, GB, Ayala, NF, & Frank, AG (2018). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204, 383–394.https://doi.org/10.1016/j.ijpe.2018.08.019

Duan, Y., Edwards, JS, & Dwivedi, YK (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, 48, 63–71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021

Dwivedi, YK, Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos , V., Ilavarasan, PV, Janssen, M., Jones, P., Kar, AK, Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, MD (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

Frank, AG, Dalenogare, LS, & Ayala, NF (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15–26.https://doi.org/10.1016/j.ijpe.2019.01.004

Gharib, RY (2023). The Rebirth of the Madrasa Through Deconstructive Architecture: The Case of the College of Islamic Studies in Qatar. International Journal of Islamic Architecture, 12(1), 163–188.https://doi.org/10.1386/ijia_00098_1

Govindan, K., & Hasanagic, M. (2018). A systematic review on drivers, barriers, and practices towards circular economy: A supply chain perspective. International Journal of Production Research, 56(1–2), 278–311.https://doi.org/10.1080/00207543.2017.1402141

Hayee, F., Fongkaew, W., Chanprasit, C., Kaewthummanukul, T., & Voss, JG (2021). Sexual risk behaviors and influencing factors among Muslim adolescents on the southern border of Thailand. International Journal of Adolescent Medicine and Health, 33(6), 469–477.https://doi.org/10.1515/ijamh-2019-0221

Humanistic and Mental Health Behaviorism in Shaping the Learning Process in Covid-19 Outbreak. (2020). International Journal of Pharmaceutical Research, 12(04).https://doi.org/10.31838/ijpr/2020.12.04.483

ITC Guidelines for Translating and Adapting Tests (Second Edition). (2018). International Journal of Testing, 18(2), 101–134.https://doi.org/10.1080/15305058.2017.1398166

Koivisto, J., & Hamari, J. (2019). The rise of motivational information systems: A review of gamification research. International Journal of Information Management, 45, 191–210.https://doi.org/10.1016/j.ijinfomgt.2018.10.013

Kousar, R., & Brett, P. (2021). Unity in Diversity?: The Representation of Ethnic Diversity in Pakistani Textbooks and through Teacher and Student Perspectives. The International Journal of Learner Diversity and Identities, 29(1), 37–52. https://doi.org/10.18848/2327-0128/CGP/v29i01/37-52

Li, S., Wang, Y., Xue, J., Zhao, N., & Zhu, T. (2020). The Impact of COVID-19 Epidemic Declaration on Psychological Consequences: A Study on Active Weibo Users. International Journal of Environmental Research and Public Health, 17(6), 2032.https://doi.org/10.3390/ijerph17062032

Makridakis, S., Spiliotis, E., & Assimakopoulos, V. (2018). The M4 Competition: Results, findings, conclusion and way forward. International Journal of Forecasting, 34(4), 802–808.https://doi.org/10.1016/j.ijforecast.2018.06.001

Maxwell, AE, Warner, TA, & Fang, F. (2018). Implementation of machine-learning classification in remote sensing: An applied review. International Journal of Remote Sensing, 39(9), 2784–2817.https://doi.org/10.1080/01431161.2018.1433343

Mishra, L., Gupta, T., & Shree, A. (2020). Online teaching-learning in higher education during the lockdown period of COVID-19 pandemic. International Journal of Educational Research Open, 1, 100012.https://doi.org/10.1016/j.ijedro.2020.100012

Mulyaningsih, I., Rahmat, W., Maknun, D., & Firdaus, W. (2022). How Competence of Production, Attention, Retention, Motivation, and Innovation can Improve Students' Scientific Writing Skills. International Journal of Language Education, 6(4), 368.https://doi.org/10.26858/ijole.v6i4.34360

Naim, N., Aziz, A., & Teguh, T. (2022). Integration of Madrasah diniyah learning systems for strengthening religious moderation in Indonesian universities. International Journal of Evaluation and Research in Education (IJERE), 11(1), 108.https://doi.org/10.11591/ijere.v11i1.22210

Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A., Iosifidis, C., Agha, M., & Agha, R. (2020). The socio-economic implications of the coronavirus pandemic (COVID-19): A review. International Journal of Surgery, 78, 185–193.https://doi.org/10.1016/j.ijsu.2020.04.018

Page, MJ, McKenzie, JE, Bossuyt, PM, Boutron, I., Hoffmann, TC, Mulrow, CD, Shamseer, L., Tetzlaff, JM, Akl, EA, Brennan, SE, Chou, R., Glanville, J ., Grimshaw, JM, Hróbjartsson, A., Then, MM, Li, T., Loder, EW, Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. International Journal of Surgery, 88, 105906.https://doi.org/10.1016/j.ijsu.2021.105906

Patricia Aguilera-Hermida, A. (2020). College students' use and acceptance of emergency online learning due to COVID-19. International Journal of Educational Research Open, 1, 100011.https://doi.org/10.1016/j.ijedro.2020.100011

Sajid, MU, & Ali, HM (2018). Thermal conductivity of hybrid nanofluids: A critical review. International Journal of Heat and Mass Transfer, 126, 211–234.https://doi.org/10.1016/j.ijheatmasstransfer.2018.05.021

the International Peace College South Africa, South Africa, Mohammed, TAS, Al-Sowaidi, B., & Banda, F. (2021). Towards a Technology-Enhanced Blended Approach for Teaching Arabic for Shari'ah Purposes (ASP) in the Light of the South African National Qualifications Framework. International Journal of Information and Education Technology, 11(1), 1–9.https://doi.org/10.18178/ijiet.2021.11.1.1481

Zhang, Y., & Ma, ZF (2020). Impact of the COVID-19 Pandemic on Mental Health and Quality of Life among Local Residents in Liaoning Province, China: A Cross-Sectional Study. International Journal of Environmental Research and Public Health, 17(7), 2381.https://doi.org/10.3390/ijerph17072381

Zhong, B.-L., Luo, W., Li, H.-M., Zhang, Q.-Q., Liu, X.-G., Li, W.-T., & Li, Y. (2020). Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: A quick online cross-sectional survey. International Journal of Biological Sciences, 16(10), 1745–1752.https://doi.org/10.7150/ijbs.45221

Zhou, Z. -H. (2018). A brief introduction to weakly supervised learning. National Science Review, 5(1), 44–53.https://doi.org/10.1093/nsr/nwx106

Zhu, Y., Zhou, L., Xie, C., Wang, G.-J., & Nguyen, TV (2019). Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach. International Journal of Production Economics, 211, 22–33.https://doi.org/10.1016/j.ijpe.2019.01.032

Downloads

Published

2023-07-25

PlumX Metrics

Issue

Vol. 1 No. 1 (2023)

Section

Articles

License

Copyright (c) 2023 Bokarewa Katona, Jensen Venkataragavan, Erlandsson Nina

Creative Commons License

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