Cybergogy Trends in Cognitive Psychology of Physics Learning: A Systematic Literature Review from 2019-2023 with NVivo

Authors

DOI:

https://doi.org/10.25273/jpfk.v9i2.17257

Keywords:

Cybergogy, Cognitive Psychology, Physics Learning

Abstract

The purpose of this Systematic Literature Review (SLR) is to identify the cybergogy trends in cognitive psychology in physics learning from 2019-2023. The focus of this review includes research methods, technology used, links to cognitive psychology, and physics concepts. A total of 60 articles (60 articles indexed Scopus and 29 of them indexed Scopus and WoS) were used in this review using the Prisma guide. The analysis was carried out with the help of NVivo12 as well as percentage calculations. The results show that: 1) The research method used is dominated by quasi-experiments (22%); 2) The technology used in learning is dominated by virtual reality/lab (35%); 3) Most of the links with cognitive psychology are devoted to conception (33%), and; 4) Physics concepts that are widely used in research are dominated by concepts related to electricity and magnetism (27%). The results of this review indicate that research on cybergogy directly in physics learning is still minimal. However, if it is generalized to research on technology in physics learning over the last five years, it can be seen that the trend is quite good. Thus, the results of this review recommend further research in developing technologies that are popular in physics learning cybergogy, such as the development of virtual reality/lab or Augmented Reality.

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Author Biographies

Achmad Samsudin, Universitas Pendidikan Indonesia

Physics EducationSCOPUS Author ID: ID 57191537500 Google Scholar: Profil GS SINTA Author Profile: ID 257767

Hera Novia, Universitas Pendidikan Indonesia

Physics Education

Andi Suhandi, Universitas Pendidikan Indonesia

Science Education

Adam Hadiana Aminudin, Universitas Kebangsaan Republik Indonesia

Electrical Engineering

Muhamad Yusup, Universitas Sriwijaya

Physics Education

Supriyatman Supriyatman, Universitas Tadulako

Physics Education

Masrifah Masrifah, Universitas Khairun

Physics Education

Niki Dian Permana, Universitas Islam Negeri Sultan Syarif Kasim

Science Education

Bayram Costu, Yildiz Technical University

Department of Science Education

References

Amiruddin, A., Baharuddin, F. R., Takbir, T., Setialaksana, W., & Nurlaela, N. (2023). Andragogy , Peeragogy , Heutagogy and Cybergogy Contribution on Self- Regulated Learning : A Structural Equation Model Approach. International Journal of Instruction, 16(3), 551–572. https://doi.org/https://doi.org/10.29333/iji.2023.16330a

Caena, F., & Redecker, C. (2019). Aligning teacher competence frameworks to 21st century challenges: The case for the European Digital Competence Framework for Educators (Digcompedu). European Journal of Education, 54(3), 356–369. https://doi.org/10.1111/ejed.12345

Falloon, G. (2020). From digital literacy to digital competence: the teacher digital competency (TDC) framework. Educational Technology Research and Development, 68(5), 2449–2472. https://doi.org/10.1007/s11423-020-09767-4

Fatmawati, I., & Sulisworo, D. (2021). Preliminary Design of Kit Kinematics Learning Tools assisted by Phyphox Mobile Apps. Jurnal Pendidikan Fisika Dan Keilmuan (JPFK), 7(1), 13. https://doi.org/10.25273/jpfk.v7i1.9955

Febrianto, P. T., Mas’udah, S., & Megasari, L. A. (2020). Implementation of online learning during the covid-19 pandemic on Madura Island, Indonesia. International Journal of Learning, Teaching and Educational Research, 19(8), 233–254. https://doi.org/10.26803/ijlter.19.8.13

Furnham, A. (2019). Advertising: The Contribution of Applied Cognitive Psychology. Applied Cognitive Psychology, 33(2), 168–175. https://doi.org/https://doi.org/10.1002/acp.3458

Gopalan, M., Rosinger, K., & Ahn, J. Bin. (2020). Use of Quasi-Experimental Research Designs in Education Research: Growth, Promise, and Challenges. Review of Research in Education, 44(1), 218–243. https://doi.org/10.3102/0091732X20903302

Handhika, J., & Sasono, M. (2021). Using of geogebra software to improve understanding of vector and kinematic concepts in online physics course. Jurnal Pendidikan Fisika Dan Keilmuan (JPFK), 7(1), 1. https://doi.org/10.25273/jpfk.v7i1.8619

Houwer, J. De. (2021). On the challenges of cognitive psychopathology research and possible ways forward: Arguments for a pragmatic cognitive approach. Current Opinion in Psychology, 4. https://doi.org/10.1016/j.copsyc.2021.04.005

Huang, K. T., Ball, C., Francis, J., Ratan, R., Boumis, J., & Fordham, J. (2019). Augmented versus virtual reality in education: An exploratory study examining science knowledge retention when using augmented reality/virtual reality mobile applications. Cyberpsychology, Behavior, and Social Networking, 22(2), 105–110. https://doi.org/10.1089/cyber.2018.0150

Kim, S., Raza, M., & Seidman, E. (2019). Improving 21st-century teaching skills: The key to effective 21st-century learners. Research in Comparative and International Education, 14(1), 99–117. https://doi.org/10.1177/1745499919829214

Lukita, C., Suwandi, S., Harahap, E. P., Rahardja, U., & Nas, C. (2020). Curriculum 4.0: Adoption of Industry Era 4.0 as Assessment of Higher Education Quality. IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 14(3), 297. https://doi.org/10.22146/ijccs.57321

Martha, A. S. D., Junus, K., Santoso, H. B., & Suhartanto, H. (2021). Assessing undergraduate students’ e-learning competencies: A case study of higher education context in Indonesia. Education Sciences, 11(4). https://doi.org/10.3390/educsci11040189

Martín-Gutiérrez, J., Mora, C. E., Añorbe-Díaz, B., & González-Marrero, A. (2017). Virtual technologies trends in education. Eurasia Journal of Mathematics, Science and Technology Education, 13(2), 469–486. https://doi.org/10.12973/eurasia.2017.00626a

Ortiz-Martínez, V. M., Andreo-Martínez, P., García-Martínez, N., Pérez de los Ríos, A., Hernández-Fernández, F. J., & Quesada-Medina, J. (2019). Approach to biodiesel production from microalgae under supercritical conditions by the PRISMA method. Fuel Processing Technology, 191(November 2018), 211–222. https://doi.org/10.1016/j.fuproc.2019.03.031

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., & Moher, D. (2021). Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement. Journal of Clinical Epidemiology, 134, 103–112. https://doi.org/10.1016/j.jclinepi.2021.02.003

Panggabean, T. E., & Wijaya, V. (2021). The Effectiveness of Application Assistant Cybergogy Learning Model to Improve Student Learning Outcomes in Database Design Courses. Proceedings of the 8th International Conference on Technical and Vocational Education and Training (ICTVET 2021), 608(Ictvet), 167–173. https://www.atlantis-press.com/proceedings/ictvet-21/125965562

Prasetyanto, D., Rizki, M., & Sunitiyoso, Y. (2022). Online Learning Participation Intention after COVID-19 Pandemic in Indonesia: Do Students Still Make Trips for Online Class? Sustainability (Switzerland), 14(4). https://doi.org/10.3390/su14041982

Purwadi, P., Saputra, E. W. N., Wahyudi, A., Supriyanto, A., Muyana, S., Rohmadheny, S. P., Ariyanto, R. D., & Kurniawan, S. J. (2021). Student Perceptions of Online Learning during the COVID-19 Pandemic in Indonesia: A Study of Phenomenology. European Journal of Educational Research, 10(3), 1515–1528.

Rahayu, S., Rahmadani, E., Syafitri, E., Prasetyoningsih, L. S. A., Ubaidillah, M. F., & Tavakoli, M. (2022). Teaching with Technology during COVID-19 Pandemic: An Interview Study with Teachers in Indonesia. Education Research International, 2022. https://doi.org/10.1155/2022/7853310

Rasmitadila, R., Aliyyah, R. R., Rachmadtullah, R., Samsudin, A., Syaodih, E., Nurtanto, M., & Riana, A. (2020). The Perceptions of Primary School Teachers of Online Learning during the COVID-19 Pandemic Period : A Case Study in Indonesia. Journal of Ethnic and Cultural Studies, 7(2), 90–109. https://doi.org/https://doi.org/10.29333/ejecs/388

Samsudin, A., Suhandi, A., Linuwih, S., Kaniawati, I., Fauzi, D. M., Aminudin, A. H., Fratiwi, N. J., & Adimayuda, R. (2023). Preliminary Development of Simulation on Refutational-Text (SoRT) to Change Conception of Physics: Rasch and Nvivo Analysis. AIP Conference Proceedings. https://doi.org/https://doi.org/10.1063/5.0125826

Sudibjo, N., Idawati, L., & Harsanti, H. R. (2019). Characteristics of Learning in the Era of Industry 4.0 and Society 5.0. International Conference on Education Technology (ICoET 2019), 372(ICoET), 276–279. http://staffnew.uny.ac.id/upload/130682770/penelitian/ba-32kur-masa-depansemnas-untirta16-2-

Syaodih, E., Samsudin, A., Suhandi, A., Aminudin, A. H., Fratiwi, N. J., Adimayuda, R., & Rachmadtullah, R. (2021). Parent’s perspective on early childhood learning needs during covid-19 using nvivo 12 software: A case study in indonesia. Kasetsart Journal of Social Sciences, 42(4), 924–931. https://doi.org/10.34044/j.kjss.2021.42.4.28

Syrjämäki, A. H., & Hietanen, J. K. (2019). The effects of social exclusion on processing of social information – A cognitive psychology perspective. British Journal of Social Psychology, 58(3), 730–748. https://doi.org/10.1111/bjso.12299

Tan, H. Sen, Ivander, Oktarina, R., Reynaldo, V., & Sharina, C. (2020). Conceptual development of learning factory for industrial engineering education in Indonesia context as an enabler of students’ competencies in industry 4.0 era. IOP Conference Series: Earth and Environmental Science, 426(1), 0–10. https://doi.org/10.1088/1755-1315/426/1/012123

Tan, Y., Xu, W., Li, S., & Chen, K. (2022). Augmented and Virtual Reality (AR/VR) for Education and Training in the AEC Industry: A Systematic Review of Research and Applications. Buildings, 12(10). https://doi.org/10.3390/buildings12101529

Wahyudi, W., Boisandi, B., & Nurhayati, N. (2021). Application of Multisim Software in Wave Rectifier Circuit Learning and its influence based on Students’ Visual Spatial Ability. Jurnal Pendidikan Fisika Dan Keilmuan (JPFK), 7(1), 73–83. https://doi.org/http://doi.org/10.25273/jpfk.v7i1.9068

Wang, M., & Kang, M. (2006). CYBERGOGY FOR ENGAGED LEARNING : A FRAMEWORK FOR CREATING LEARNER ENGAGEMENT THROUGH INFORMATION. Engaged Learning with Emerging Technologies, 225–253. http://www.springerlink.com/index/p2lm77052377782w.pdf

Yudiawan, A., Sunarso, B., Suharmoko, Sari, F., & Ahmadi. (2021). Successful online learning factors in covid-19 era: Study of islamic higher education in west papua, indonesia. International Journal of Evaluation and Research in Education, 10(1), 193–201. https://doi.org/10.11591/ijere.v10i1.21036

Zarate, D., Stavropoulos, V., Ball, M., de Sena Collier, G., & Jacobson, N. C. (2022). Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence. BMC Psychiatry, 22(1), 1–24. https://doi.org/10.1186/s12888-022-04013-y

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Published

2023-10-20

Issue

Vol. 9 No. 2 (2023)

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