Teaching as Part of Blended Learning Lead to the Trend of Indonesian Future Cyber Education



instructional design, cyber education, digital media, teaching


Millions of children and teachers have been adversely affected by the COVID-19 issue and the subsequent school closures. National government standards have also been put in place in order for schools to reopen, since there is increasing demand from parents, teachers, and students. The purpose of this research is to get a sense of how educators and other members of the education community feel about the current state of affairs and what they want to see when schools reopen. Teachers, administrators, and representatives from teacher professional associations in Indonesia participated in a survey and focus group discussions, as well as interviews with members of the local education office. A total of 100 people took part in the focus groups and interviews, which were conducted in five different regions. According to the findings, 76% of teachers were concerned about the health dangers of reopening schools, and 95% of teachers favoured mixed learning or continuing to use complete distance learning. Even if schools reopen, teachers have expressed the need for better health protection for teachers and students, improved coordination and collaboration with local stakeholders, and increased capacity to ensure that the learning process is secure, comfortable, and effective. Teachers' concerns have been heard. Teachers who work with students with special needs and those from underprivileged backgrounds are examined in greater detail. COVID-19 has had a significant impact on our global society, particularly in the sector of education, since its inception. Education has moved out of the classroom and into people's homes and spare rooms all over the world, serving a variety of social tasks in addition to rote memorization and basic reading and numeracy training. For educators, this new virtual world presented a new set of physical and psychological challenges, which this study examined. Researchers used a combination of narrative inquiry and survey data in this study to better understand the impact of COVID-19 and the ways in which educators processed and dealt with the shift to online learning environments. The findings provide light on how people coped with the pandemic's pain and stress. It's possible that future research may concentrate on repeating this study in multiple locations. 


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Bloomberg, “Indonesia closes Schools Across Archipelago as Virus Cases Spike,” https://www.bloomberg.com/news/articles/2020-03- 15/indonesia-closes-schools-across-archipelago-as-virus-cases-spike, 2020.

MOEC, “Update Penanganan COVID-19 Bidang Pendidikan,” 2020.


N. Yarrow, E. Masood, and R. Afkar, “Estimates of COVID-19 Impacts on Learning and Earning in Indonesia,” Estim. COVID-19 Impacts Learn. Earn. Indones., no. August, 2020, doi: 10.1596/34378.

UNICEF, “COVID-19 and Children in Indonesia,” 2020.

The Jakarta Post, “Most Indonesians want schools, colleges to reopen despite pandemic: Survey,” Jakarta Post, 2020.

The Jakarta Post, “‘Chaotic’: Epidemiologists concerned about healthcare crisis after recent surge in COVID-19 cases,” vol. 2020.

A. Swaby, Gov. Greg Abbott keeps Texas classrooms closed for the remainder of school year. Texas, 2020.

V. H. Jackson, Teacher Confidential: Personal Stories of Stress, Self-Care, and Resilience. Bloomington: iUniverse, 2018.

D. Beijaard, P. C. Meijer, and N. Verloop, “Reconsidering research on teachers’ professional identity,” Teach. Teach. Educ., vol. 20, no. 2, pp. 107–128, 2004, doi: 10.1016/j.tate.2003.07.001.

A. M. Phelan, “Review: Shaping a Professional Identity: Stories of Education Practice. (Connelly & Clandinin),” Althouse Press, vol. 184, no. 1992, pp. 288–290, 1999.

J. R. Middleton, “New science teacher identity development in a Texas disciplinary alternative education program,” Unpubl. Dr. Diss., 2014.

B. Hernawan, A. H., Dewi, L., Fadlillah, A. F., & Setiawan, “Students’ Attitudes and Perceptions of Smart Online Learning through Podcast Content Development. International Journal of Interactive Mobile Technologies,” Int. J. Interact. Mob. Technol. (iJIM, vol. 15, no. 21, pp. 88–106, 2021, doi: https://doi.org/10.3991/ijim.v15i21.24909.

D. J. Clandinin and F. M. Connelly, “Narrative Inquiry Experience and Story in Qualitative Research.”

G. M. Johnson, “Synchronous and Asynchronous Text-Based CMC in Educational Contexts : A Review of Recent Research,” no. August 2006, 2014, doi: 10.1007/s11528-006-0046-9.

M. K. Tallent-runnels et al., “Review of Educational A Review of the Research,” 2006, doi: 10.3102/00346543076001093.

E. S. Podgor, “Teaching live synchronous distance learning course: Student focused approach,” Univ. Illinois J. Law, Technol. Policy, vol. 263, no. 2, pp. 263–272, 2006.

G. Karaman, S., Aydemir, M., Kucuk, S., & Yildirim, “Virtual Classroom Participants ’ Views For Effective,” no. January, pp. 290–301, 2013.

C. Frambaugh-kritzer and E. P. Stolle, “Action in Teacher Education Seeking Pedagogical Equilibrium while Teaching Synchronous Online Classes : A Collaborative Self- study Seeking Pedagogical Equilibrium while Teaching Synchronous,” Action Teach. Educ., vol. 0, no. 0, pp. 1–18, 2019, doi: 10.1080/01626620.2019.1635922.

L. Little-Wiles, J., & Naimi, “Student perceptions of and experiences in using the Blackboard learning management system,” Glob. Educ. J., vol. 4, pp. 147–155, 2011.

A. G. Picciano, J. Seaman, and A. G. Picciano, K–12 online learning: A survey of U.S. School district administrators. New York: Sloan C, 2007.

M. Kerres, N. Ojstersek, U. Schroeder, and U. H. Hrsg, Tagung der Fachgruppe E-Learning der Gesellschaft für Informatik e.V. Bonn: Gesellschaft für Informatik e.V., 2010.

T. S. Susiani, M. Salimi, Ngatman, R. Hidayah, and Suhartono, “STEAM in art education course: Students perception,” ACM Int. Conf. Proceeding Ser., pp. 6–9, 2020, doi: 10.1145/3452144.3452266.

D. Petko, “Einführung in die Mediendidaktik . Lehren und Lernen mit digitalen Medien,” no. February, 2015.

B. Arifin, Z., & Setiawan, “Utilising gamification for online evaluation through Quizizz: Teachers’ perspectives and experiences,” World J. Educ. Technol. Curr. Issues, vol. 14, no. 3, pp. 781–796, 2022, doi: https://doi.org/10.18844/wjet.v14i3.7278.

W. S. Bainbridge and W. S. Bainbridge, “The Scientific Research Potential of Virtual Worlds,” vol. 472, no. 2007, 2014, doi: 10.1126/science.1146930.

B. Ketelhut, Nelson, J. Clarke, and C. D. A. Multi-user, “Pe on,” 2010, doi: 10.1111/j.1467-8535.2009.01036.x.

Z. Zacharia, “Beliefs , Attitudes , and Intentions of Science Teachers Regarding the Educational Use of Computer Simulations and Inquiry-Based Experiments in Physics,” vol. 40, no. 8, pp. 792–823, 2003, doi: 10.1002/tea.10112.

C. Dede, “Emerging influences of information technology on school curriculum school curriculum,” no. May 2013, pp. 37–41, 2010.

S. Johnson, L., Levine, A., Smith, R., Smythe, T., & Stone, Horizon report 2009. 2009.

A. Siorenta and A. Jimoyiannis, “Research in Science & Technological Education Physics instruction in secondary schools : An investigation of teachers ’ beliefs towards physics laboratory and ICT,” no. October 2014, pp. 37–41, doi: 10.1080/02635140802037328.

M. Webb and M. Cox, “A Review of Pedagogy Related to Information and Communications Technology,” vol. 13, no. 3, pp. 235–286, 2004.

J. C. Sun, S. Yu, C. Chao, and J. C. Sun, “Effects of intelligent feedback on online learners ’ engagement and cognitive load : the case of research ethics education ethics education,” Educ. Psychol., vol. 0, no. 0, p. 18, 2018, doi: 10.1080/01443410.2018.1527291.

R. Rajendran, S. Iyer, and S. Murthy, “Personalized affective feedback to address students ’ frustration in ITS,” vol. XX, no. c, pp. 1–12, 2018, doi: 10.1109/TLT.2018.2807447.

A. Jones and G. Castellano, “Adaptive Robotic Tutors that Support Self-Regulated Learning : A Longer-Term Investigation with Primary School Children,” Int. J. Soc. Robot., 2018, doi: 10.1007/s12369-017-0458-z.

L. Lim and S. Dawson, “Students ’ sense-making of personalised feedback based on learning analytics,” vol. 36, no. 6, pp. 15–33, 2020.

L. Lim et al., “Assessment & Evaluation in Higher Education Students ’ perceptions of , and emotional responses to , personalised learning analytics-based feedback : an exploratory study of four courses,” Assess. Eval. High. Educ., vol. 0, no. 0, pp. 1–21, 2020, doi: 10.1080/02602938.2020.1782831.

L. Lim et al., “What changes , and for whom ? A study of the impact of learning analytics- based process feedback in a large course,” no. January, 2019, doi: 10.1016/j.learninstruc.2019.04.003.

M. Aberdour, “Rule-based vs. AI-based adaptive learning. Open thoughts. January 19, 2021,” . Open thoughts, 2021. [Online]. Available: https://www.open-thoughts.com/.

M. Mosharraf and F. Taghiyareh, “Improving Student Success Rates through a Semi-Personalized Feedback Improving Student Success Rates Through a Semi- Personalized Feedback System,” no. October, 2012.

J. D. García-merino, S. Urionabarrenetxea, A. Fernández-, and S. Urionabarrenetxea, “Does PBL improve student performance in a multidimensional way ? A proposal for a moderated mediation model way ? A proposal for a moderated mediation model,” High. Educ. Res. Dev., vol. 0, no. 0, pp. 1–20, 2020, doi: 10.1080/07294360.2020.1732878.

M. Papastergiou and C. Solomonidou, “Gender issues in Internet access and favourite Internet activities among Greek high school pupils inside and outside school,” vol. 44, pp. 377–393, 2005, doi: 10.1016/j.compedu.2004.04.002.

J. Wu and T. Cheng, “Who is better adapted in learning online within the personal learning environment? Relating gender differences in cognitive attention networks to digital distraction,” Comput. Educ., 2018, doi: 10.1016/j.compedu.2018.08.016.

F. González-gómez, J. Guardiola, Ó. Martín, M. Ángel, and M. Alonso, “Computers & Education Gender differences in e-learning satisfaction,” Comput. Educ., vol. 58, no. 1, pp. 283–290, 2012, doi: 10.1016/j.compedu.2011.08.017.

H. Lu and M. Chiou, “satisfaction : A contingency approach,” vol. 41, no. 2, pp. 307–323, 2010, doi: 10.1111/j.1467-8535.2009.00937.x.

M. V. López-pérez, M. C. Pérez-lópez, and L. Rodríguez-ariza, “Computers & Education Blended learning in higher education : Students ’ perceptions and their relation to outcomes,” Comput. Educ., vol. 56, no. 3, pp. 818–826, 2011, doi: 10.1016/j.compedu.2010.10.023.

L. Luo et al., “Blended learning with Moodle in medical statistics : an assessment of knowledge , attitudes and practices relating to e-learning,” pp. 1–8, 2017, doi: 10.1186/s12909-017-1009-x.

J. Wu, “Computers & Education University students ’ Motivated Attention and use of regulation strategies on social media,” Comput. Educ., vol. 89, pp. 75–90, 2015, doi: 10.1016/j.compedu.2015.08.016.

J. Wu, “The indirect relationship of media multitasking self-efficacy on learning performance within the personal learning environment: Implications from the mechanism of perceived attention problems and self-regulation strategies,” Comput. Educ., 2016, doi: 10.1016/j.compedu.2016.10.010.

J. Fleming, K. Becker, C. Newton, K. Becker, and C. Newton, “Factors for successful e-learning : does age matter ?,” 2017, doi: 10.1108/ET-07-2015-0057.

J. Wu, “Learning Analytics on Structured and Unstructured Heterogeneous Data Sources: Perspectives from Procrastination, Help-Seeking, and Machine-Learning Defined Cognitive Engagement,” Comput. Educ., p. 104066, 2020, doi: 10.1016/j.compedu.2020.104066.




How to Cite

R. . Hidayah, M. . Nur Wangid, and W. . Wuryandani, “Teaching as Part of Blended Learning Lead to the Trend of Indonesian Future Cyber Education”, Int J Intell Syst Appl Eng, vol. 11, no. 2, pp. 484–494, Feb. 2023.



Research Article