Implementation Curriculum Independent Study Use Learning Management System (LMS)
Downloads
Objective from article This is study journal about implementation curriculum independent use (Learning Management system) LMS. Article This discussed in a manner qualitative using a literature study from the perspective of critical discourse analysis by reviewing several journals relevant to the topic. The steps taken are (1 ) collecting data from relevant journals (2) analyze reading material from journals and draw conclusions from the topic of independent curriculum implementation using the LMS (Learning Management System). Results From the study in this article, it shows that the implementation of the independent curriculum is related with (Learning Management System )LMS . Implementation on curriculum independent Study done with use (Learning Management System) LMS related to each other.
Bi, W. L., Hosny, A., Schabath, M. B., Giger, M. L., Birkbak, N. J., Mehrtash, A., Allison, T., Arnaout, O., Abbosh, C., Dunn, I. F., Mak, R. H., Tamimi, R. M., Tempany, C. M., Swanton, C., Hoffmann, U., Schwartz, L. H., Gillies, R. J., Huang, R. Y., & Aerts, H. J. W. L. (2019). Artificial intelligence in cancer imaging: Clinical challenges and applications. CA: A Cancer Journal for Clinicians, 69(2), 127–157. https://doi.org/10.3322/caac.21552
Budd, J., Miller, B. S., Manning, E. M., Lampos, V., Zhuang, M., Edelstein, M., Rees, G., Emery, V. C., Stevens, M. M., Keegan, N., Short, M. J., Pillay, D., Manley, E., Cox, I. J., Heymann, D., Johnson, A. M., & McKendry, R. A. (2020). Digital technologies in the public-health response to COVID-19. Nature Medicine, 26(8), 1183–1192. https://doi.org/10.1038/s41591-020-1011-4
Caskurlu, S., Maeda, Y., Richardson, J. C., & Lv, J. (2020). A meta-analysis addressing the relationship between teaching presence and students’ satisfaction and learning. Computers & Education, 157, 103966. https://doi.org/10.1016/j.compedu.2020.103966
Chen, J., & Ran, X. (2019). Deep Learning With Edge Computing: A Review. Proceedings of the IEEE, 107(8), 1655–1674. https://doi.org/10.1109/JPROC.2019.2921977
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
From the Gender Equity in Medicine (GEM) workgroup, Klein, R., Julian, K. A., Snyder, E. D., Koch, J., Ufere, N. N., Volerman, A., Vandenberg, A. E., Schaeffer, S., & Palamara, K. (2019). Gender Bias in Resident Assessment in Graduate Medical Education: Review of the Literature. Journal of General Internal Medicine, 34(5), 712–719. https://doi.org/10.1007/s11606-019-04884-0
Huisman, M., Ranschaert, E., Parker, W., Mastrodicasa, D., Koci, M., Pinto De Santos, D., Coppola, F., Morozov, S., Zins, M., Bohyn, C., Koç, U., Wu, J., Veean, S., Fleischmann, D., Leiner, T., & Willemink, M. J. (2021). An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: Fear of replacement, knowledge, and attitude. European Radiology, 31(9), 7058–7066. https://doi.org/10.1007/s00330-021-07781-5
Kahsay, W. G., Negarandeh, R., Dehghan Nayeri, N., & Hasanpour, M. (2020). Sexual harassment against female nurses: A systematic review. BMC Nursing, 19(1), 58. https://doi.org/10.1186/s12912-020-00450-w
Larcher, A., De Naeyer, G., Turri, F., Dell’Oglio, P., Capitanio, U., Collins, J. W., Wiklund, P., Van Der Poel, H., Montorsi, F., & Mottrie, A. (2019). The ERUS Curriculum for Robot-assisted Partial Nephrectomy: Structure Definition and Pilot Clinical Validation. European Urology, 75(6), 1023–1031. https://doi.org/10.1016/j.eururo.2019.02.031
Mishra, L., Gupta, T., & Shree, A. (2020). Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open, 1, 100012. https://doi.org/10.1016/j.ijedro.2020.100012
Nousheen, A., Yousuf Zai, S. A., Waseem, M., & Khan, S. A. (2020). Education for sustainable development (ESD): Effects of sustainability education on pre-service teachers’ attitude towards sustainable development (SD). Journal of Cleaner Production, 250, 119537. https://doi.org/10.1016/j.jclepro.2019.119537
Oztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31(1), 127–182. https://doi.org/10.1007/s10845-018-1433-8
Rasheed, A., San, O., & Kvamsdal, T. (2020). Digital Twin: Values, Challenges and Enablers From a Modeling Perspective. IEEE Access, 8, 21980–22012. https://doi.org/10.1109/ACCESS.2020.2970143
Riad, A., Abdulqader, H., Morgado, M., Domnori, S., Koš?ík, M., Mendes, J., Klugar, M., Kateeb, E., & on behalf of IADS-SCORE. (2021). Global Prevalence and Drivers of Dental Students’ COVID-19 Vaccine Hesitancy. Vaccines, 9(6), 566. https://doi.org/10.3390/vaccines9060566
Rose, S. (2020). Medical Student Education in the Time of COVID-19. JAMA, 323(21), 2131. https://doi.org/10.1001/jama.2020.5227
Scherer, R., & Siddiq, F. (2019). The relation between students’ socioeconomic status and ICT literacy: Findings from a meta-analysis. Computers & Education, 138, 13–32. https://doi.org/10.1016/j.compedu.2019.04.011
Schlenz, M. A., Schmidt, A., Wöstmann, B., Krämer, N., & Schulz-Weidner, N. (2020). Students’ and lecturers’ perspective on the implementation of online learning in dental education due to SARS-CoV-2 (COVID-19): A cross-sectional study. BMC Medical Education, 20(1), 354. https://doi.org/10.1186/s12909-020-02266-3
Sumter, D., De Koning, J., Bakker, C., & Balkenende, R. (2020). Circular Economy Competencies for Design. Sustainability, 12(4), 1561. https://doi.org/10.3390/su12041561
Vadakalu Elumalai, K., P Sankar, J., R, K., Ann John, J., Menon, N., Salem M Alqahtani, M., & Abdulaziz Abumelha, M. (2020). Factors Affecting the Quality of E-Learning During the COVID-19 Pandemic from the Perspective of Higher Education Students. Journal of Information Technology Education: Research, 19, 731–753. https://doi.org/10.28945/4628
Wang, Y., Chen, Q., Hong, T., & Kang, C. (2019). Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges. IEEE Transactions on Smart Grid, 10(3), 3125–3148. https://doi.org/10.1109/TSG.2018.2818167
Wilson, M. L., Ritzhaupt, A. D., & Cheng, L. (2020). The impact of teacher education courses for technology integration on pre-service teacher knowledge: A meta-analysis study. Computers & Education, 156, 103941. https://doi.org/10.1016/j.compedu.2020.103941
Zhang, K., Liu, X., Shen, J., Li, Z., Sang, Y., Wu, X., Zha, Y., Liang, W., Wang, C., Wang, K., Ye, L., Gao, M., Zhou, Z., Li, L., Wang, J., Yang, Z., Cai, H., Xu, J., Yang, L., … Wang, G. (2020). Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography. Cell, 181(6), 1423-1433.e11. https://doi.org/10.1016/j.cell.2020.04.045
Zhong, L., Hu, L., & Zhou, H. (2019). Deep learning based multi-temporal crop classification. Remote Sensing of Environment, 221, 430–443. https://doi.org/10.1016/j.rse.2018.11.032
Zhu, M., Liu, O. L., & Lee, H.-S. (2020). The effect of automated feedback on revision behavior and learning gains in formative assessment of scientific argument writing. Computers & Education, 143, 103668. https://doi.org/10.1016/j.compedu.2019.103668
Copyright (c) 2023 Al-Hijr: Journal of Adulearn World

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


















