Dissemination of technology Training for teachers of SMAN Kembangbahu in managing synchronous online learning
DOI:
https://doi.org/10.59247/jppmi.v1i8.39Keywords:
Teacher training, online learning, synchronousAbstract
The purpose of the synchronous online learning management training is to improve the skills of teachers in implementing face-to-face online learning. The training method uses the in-out method. This means that it is done face-to-face and online so that training participants experience online learning directly guided by a mentor. Participants are teachers at SMAN Kembangbahu as many as 42 people. During the training, many participants were initially still not used to using online learning procedures to the fullest, such as the procedure for being present 10 minutes before online learning, turning on the participant's camera, asking for readiness, asking questions and interacting. After participating in the training, participants realized that implementing a good procedure actually made it easier for teachers to carry out learning. The importance of managing synchronous online learning made the participants very enthusiastic during the training.
References
K. Malbul, S. Katwal, S. Maharjan, S. Shrestha, R. Dhital, and A. P. Rajbhandari, “Appendicitis as a presentation of COVID-19: A case report,” Ann. Med. Surg., vol. 69, p. 102719, 2021, doi: 10.1016/j.amsu.2021.102719.
T.-Y. Chang, M.-L. Hsu, J.-S. Kwon, M. L. S. Kusdhany, and G. Hong, “Effect of online learning for dental education in asia during the pandemic of COVID-19,” J. Dent. Sci., vol. 16, no. 4, pp. 1095–1101, Oct. 2021, doi: 10.1016/j.jds.2021.06.006.
D. J. Lemay, P. Bazelais, and T. Doleck, “Transition to online learning during the COVID-19 pandemic,” Comput. Hum. Behav. Reports, vol. 4, p. 100130, Aug. 2021, doi: 10.1016/j.chbr.2021.100130.
N. A. Jogezai, F. A. Baloch, M. Jaffar, T. Shah, G. K. Khilji, and S. Bashir, “Teachers’ attitudes towards social media (SM) use in online learning amid the COVID-19 pandemic: the effects of SM use by teachers and religious scholars during physical distancing,” Heliyon, vol. 7, no. 4, p. e06781, Apr. 2021, doi: 10.1016/j.heliyon.2021.e06781.
M. Al-Nasa’h, L. Al-Tarawneh, F. M. Abu Awwad, and I. Ahmad, “Estimating students’ online learning satisfaction during COVID-19: A discriminant analysis,” Heliyon, vol. 7, no. 12, p. e08544, Dec. 2021, doi: 10.1016/j.heliyon.2021.e08544.
R. E. H. Wertz, “Learning presence within the Community of Inquiry framework: An alternative measurement survey for a four-factor model,” Internet High. Educ., vol. 52, p. 100832, Jan. 2022, doi: 10.1016/j.iheduc.2021.100832.
E. L. Karcher, D. Koltes, B. Wenner, and J. Wells, “Sparking curiosity and engagement through online curriculum,” Poult. Sci., vol. 101, no. 2, p. 101577, Feb. 2022, doi: 10.1016/j.psj.2021.101577.
J. S. Jeong and D. González-Gómez, “Assessment of sustainability science education criteria in online-learning through fuzzy-operational and multi-decision analysis and professional survey,” Heliyon, vol. 6, no. 8, p. e04706, Aug. 2020, doi: 10.1016/j.heliyon.2020.e04706.
Q. Zhang et al., “The evaluation of online course of Traditional Chinese Medicine for Medical Bachelor, Bachelor of Surgery international students during the COVID-19 epidemic period,” Integr. Med. Res., vol. 9, no. 3, p. 100449, Sep. 2020, doi: 10.1016/j.imr.2020.100449.
M. Prasad, D. R. Zheng, D. Mery, D. Puthal, S. Sundaram, and C. T. Lin, “A fast and self-adaptive on-line learning detection system,” Procedia Comput. Sci., vol. 144, pp. 13–22, 2018, doi: 10.1016/j.procs.2018.10.500.
O. Zawacki-Richter and C. Latchem, “Exploring four decades of research in Computers & Education,” Comput. Educ., vol. 122, pp. 136–152, 2018, doi: 10.1016/j.compedu.2018.04.001.
F. L. Chen, Y. F. Chen, Y. Q. Peng, B. F. Guo, and W. T. He, “Research and Development of Intelligent Learning Aided Software,” Procedia Comput. Sci., vol. 154, pp. 249–255, 2018, doi: 10.1016/j.procs.2019.06.037.
X. Song, Y. J. Min, L. Da-Xiong, W. Z. Feng, and C. Shu, “Research on Text Error Detection and Repair Method Based on Online Learning Community,” Procedia Comput. Sci., vol. 154, pp. 13–19, 2018, doi: 10.1016/j.procs.2019.06.004.
Y. Ma, Y. He, and Y. Tian, “Online Robust Lagrangian Support Vector Machine against Adversarial Attack,” Procedia Comput. Sci., vol. 139, pp. 173–181, 2018, doi: 10.1016/j.procs.2018.10.239.
A. M. Mallinson, A. J. Mcgrath, and J. Marwick, “P238 The use of an online learning module (LearnPro NHSTM) to educate and assess staff working in cystic fibrosis care,” J. Cyst. Fibros., vol. 17, p. S126, 2018, doi: 10.1016/S1569-1993(18)30533-2.
O. E. Llantos and M. R. J. E. Estuar, “Characterizing Instructional Leader Interactions in a Social Learning Management System using Social Network Analysis,” Procedia Comput. Sci., vol. 160, pp. 149–156, 2019, doi: 10.1016/j.procs.2019.09.455.
N. Y. Yen, J. C. Hung, C.-C. Chen, and Q. Jin, “Design of a computational model for social learning support and analystics,” Comput. Human Behav., vol. 92, pp. 547–561, Mar. 2019, doi: 10.1016/j.chb.2018.07.042.
S. Delva, M. Nkimbeng, S. Chow, S. Renda, H.-R. Han, and R. D’Aoust, “Views of regulatory authorities on standards to assure quality in online nursing education,” Nurs. Outlook, vol. 67, no. 6, pp. 747–759, Nov. 2019, doi: 10.1016/j.outlook.2019.06.011.
B. G. Gameel and K. G. Wilkins, “When it comes to MOOCs, where you are from makes a difference,” Comput. Educ., vol. 136, pp. 49–60, Jul. 2019, doi: 10.1016/j.compedu.2019.02.014.
O. Mirzaei, J. M. de Fuentes, J. Tapiador, and L. Gonzalez-Manzano, “AndrODet: An adaptive Android obfuscation detector,” Futur. Gener. Comput. Syst., vol. 90, pp. 240–261, Jan. 2019, doi: 10.1016/j.future.2018.07.066.
H. Lu, H. Wang, S. W. Yoon, D. Won, and S. Park, “Dynamic Predictive Modeling of Solder Paste Volume with Real Time Memory Update in a Stencil Printing Process,” Procedia Manuf., vol. 38, pp. 108–116, 2019, doi: 10.1016/j.promfg.2020.01.015.
R. van Roy, S. Deterding, and B. Zaman, “Collecting Pokémon or receiving rewards? How people functionalise badges in gamified online learning environments in the wild,” Int. J. Hum. Comput. Stud., vol. 127, pp. 62–80, Jul. 2019, doi: 10.1016/j.ijhcs.2018.09.003.
A. F. Zulfikar et al., “The Effectiveness of Online Learning with Facilitation Method,” Procedia Comput. Sci., vol. 161, pp. 32–40, 2019, doi: 10.1016/j.procs.2019.11.096.
D. Sulisworo, M. Fitrianawati, I. Maryani, S. Hidayat, E. Agusta, and W. Saputri, “Students’ self-regulated learning (SRL) profile dataset measured during Covid-19 mitigation in Yogyakarta, Indonesia,” Data Br., vol. 33, p. 106422, Dec. 2020, doi: 10.1016/j.dib.2020.106422.
D. E. Yawson and F. A. Yamoah, “Understanding satisfaction essentials of E-learning in higher education: A multi-generational cohort perspective,” Heliyon, vol. 6, no. 11, p. e05519, Nov. 2020, doi: 10.1016/j.heliyon.2020.e05519.
A. M. Sindiani et al., “Distance education during the COVID-19 outbreak: A cross-sectional study among medical students in North of Jordan,” Ann. Med. Surg., vol. 59, pp. 186–194, Nov. 2020, doi: 10.1016/j.amsu.2020.09.036.
W. Kotłowski, “Scale-invariant unconstrained online learning,” Theor. Comput. Sci., vol. 808, no. 2016, pp. 139–158, Feb. 2020, doi: 10.1016/j.tcs.2019.11.016.
C. M. Dagwasi and G. A. Opiniano, “No Filipino learners left behind: Anticipating health risks and remedies of online learning,” Public Heal. Pract., vol. 1, p. 100062, Nov. 2020, doi: 10.1016/j.puhip.2020.100062.
S. Lage-Cal, M. B. Folgueras-Díaz, M. Alonso-Hidalgo, D. García-Menéndez, and F. J. Fernández-García, “Investigation of the effectiveness of online learning tools for energy performance certificates preparation,” Energy Reports, vol. 6, pp. 609–614, Feb. 2020, doi: 10.1016/j.egyr.2019.09.034.
A. Nasir et al., “The outbreak of COVID-19: Resilience and its predictors among parents of schoolchildren carrying out online learning in Indonesia,” Clin. Epidemiol. Glob. Heal., vol. 12, p. 100890, Oct. 2021, doi: 10.1016/j.cegh.2021.100890.
T. Binali, C.-C. Tsai, and H.-Y. Chang, “University students’ profiles of online learning and their relation to online metacognitive regulation and internet-specific epistemic justification,” Comput. Educ., vol. 175, no. August, p. 104315, Dec. 2021, doi: 10.1016/j.compedu.2021.104315.
S. Muflih, S. Abuhammad, S. Al-Azzam, K. H. Alzoubi, M. Muflih, and R. Karasneh, “Online learning for undergraduate health professional education during COVID-19: Jordanian medical students’ attitudes and perceptions,” Heliyon, vol. 7, no. 9, p. e08031, Sep. 2021, doi: 10.1016/j.heliyon.2021.e08031.
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