Virtual Reality for Future Education: Systematic Literature Review
DOI:
10.29303/jppipa.v9i7.4485Published:
2023-07-25Issue:
Vol. 9 No. 7 (2023): JulyKeywords:
Artificial intelligence, digital learning media, virtual realityReview
Downloads
How to Cite
Downloads
Metrics
Abstract
The development of information and communication technology is very rapid at this time contributed greatly to the development process of various kinds of learning media based on the application of technology as one of the innovations in education, Virtual Reality (VR) technology itself is a way in a way perform the appearance of learning pictures in the form of media three-dimensional or what is usually better known as 3D. Where the purpose of research is to explain Virtual Reality for Future Education. A review is conducted on the state-of-the-art methods using the preferred reporting items for reviews and meta-analyses (PRISMA) guidelines. Virtual Reality (VR) has the potential to enhance education by enabling greater learning potential than ever before, in addition to luring us into new realms. Learning can reach students' emotional core in novel and fascinating ways thanks to virtual reality. This study also states that learning subjects that can benefit the most from implementing Virtual Reality as learning media are science, social studies, and history. However, the potential is much greater.
Â
References
A Kinseng, R. (2021). Socio-cultural Change and Conflict in the Coastal and Small Island Community in Indonesia. Sodality: Jurnal Sosiologi Pedesaan, 9(1), 1–17. https://doi.org/10.22500/9202134928
Abdulrahaman, M. D., Faruk, N., Oloyede, A. A., Surajudeen-Bakinde, N. T., Olawoyin, L. A., Mejabi, O. V., Imam-Fulani, Y. O., Fahm, A. O., & Azeez, A. L. (2020). Multimedia tools in the teaching and learning processes: A systematic review. Heliyon, 6(11), e05312. https://doi.org/10.1016/j.heliyon.2020.e05312
Agostini, S., & Mechant, P. (2019). Towards a Definition of Virtual Community. Signo y Pensamiento, 38(74). https://doi.org/10.11144/Javeriana.syp38-74.tdvc
Akçayır, G., & Akçayır, M. (2018). The flipped classroom: A review of its advantages and challenges. Computers & Education, 126, 334–345. https://doi.org/10.1016/j.compedu.2018.07.021
Albus, P., Vogt, A., & Seufert, T. (2021). Signaling in virtual reality influences learning outcome and cognitive load. Computers & Education, 166, 104154. https://doi.org/10.1016/j.compedu.2021.104154
Alkhayyat, A., Abedi, F., Bagwari, A., Joshi, P., Jawad, H. M., Mahmood, S. N., & Yousif, Y. K. (2022). Fuzzy logic, genetic algorithms, and artificial neural networks applied to cognitive radio networks: A review. International Journal of Distributed Sensor Networks, 18(7), 155013292211135. https://doi.org/10.1177/15501329221113508
Alnuaim, A. A., Zakariah, M., Shukla, P. K., Alhadlaq, A., Hatamleh, W. A., Tarazi, H., Sureshbabu, R., & Ratna, R. (2022). Human-Computer Interaction for Recognizing Speech Emotions Using Multilayer Perceptron Classifier. Journal of Healthcare Engineering, 2022, 1–12. https://doi.org/10.1155/2022/6005446
Asemi, A., Ko, A., & Nowkarizi, M. (2021). Intelligent libraries: A review on expert systems, artificial intelligence, and robot. Library Hi Tech, 39(2), 412–434. https://doi.org/10.1108/LHT-02-2020-0038
Averkin, A. (2019). Hybrid Intelligent Systems Based on Fuzzy Logic and Deep Learning. In Artificial Intelligence, 11866, 3–12. https://doi.org/10.1007/978-3-030-33274-7_1
Bharali, S. S., & Kalita, S. Kr. (2018). Speech recognition with reference to Assamese language using novel fusion technique. International Journal of Speech Technology, 21(2), 251–263. https://doi.org/10.1007/s10772-018-9501-1
Bodagh, N., Bloomfield, J., Birch, P., & Ricketts, W. (2017). Problem-based learning: A review. British Journal of Hospital Medicine, 78(11), C167–C170. https://doi.org/10.12968/hmed.2017.78.11.C167
Capizzo, L., & Madden, S. (2022). Organizing community: Activist public relations as place-making. Public Relations Review, 48(5), 102260. https://doi.org/10.1016/j.pubrev.2022.102260
Chimatapu, R., Hagras, H., Starkey, A., & Owusu, G. (2018). Explainable AI and Fuzzy Logic Systems. In Theory and Practice of Natural Computing, 11324, 3–20. https://doi.org/10.1007/978-3-030-04070-3_1
Colomo-Magaña, E., Soto-Varela, R., Ruiz-Palmero, J., & Gómez-GarcÃa, M. (2020). University Students’ Perception of the Usefulness of the Flipped Classroom Methodology. Education Sciences, 10(10), 275. https://doi.org/10.3390/educsci10100275
Cumbers, A., Shaw, D., Crossan, J., & McMaster, R. (2018). The Work of Community Gardens: Reclaiming Place for Community in the City. Work, Employment and Society, 32(1), 133–149. https://doi.org/10.1177/0950017017695042
Damayanti, S. A., Santyasa, I. W., & Sudiatmika, A. A. I. A. R. (2020). Pengaruh Model Problem Based-Learning Dengan Flipped Classroom Terhadap Kemampuan Berpikir Kreatif. Jurnal Kependidikan: Penelitian Inovasi Pembelajaran, 4(1), 83–98. https://doi.org/10.21831/jk.v4i1.25460
Dua, M., Aggarwal, R. K., & Biswas, M. (2019). Discriminative Training Using Noise Robust Integrated Features and Refined HMM Modeling. Journal of Intelligent Systems, 29(1), 327–344. https://doi.org/10.1515/jisys-2017-0618
Garcia, I. (2018). Symbolism, Collective Identity, and Community Development. Societies, 8(3), 81. https://doi.org/10.3390/soc8030081
Gollapudi, S. (2019). Artificial Intelligence and Computer Vision. In Learn Computer Vision Using OpenCV, 1–29. https://doi.org/10.1007/978-1-4842-4261-2_1
Guidara, A. (2021). Artificial Intelligence and Fuzzy Logic. In A. Guidara, Policy Decision Modeling with Fuzzy Logic, 405, 47–67. https://doi.org/10.1007/978-3-030-62628-0_5
Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, 275–285. https://doi.org/10.1016/j.susoc.2022.05.004
Hwang, G.-J., Yin, C., & Chu, H.-C. (2019). The era of flipped learning: Promoting active learning and higher order thinking with innovative flipped learning strategies and supporting systems. Interactive Learning Environments, 27(8), 991–994. https://doi.org/10.1080/10494820.2019.1667150
Jain, A. A., Saraogi, A., Sharma, P., Pandit, V., & Hiremath, S. R. (2023). Swarm of reconnaissance drones using artificial intelligence and networking. Australian Journal of Multi-Disciplinary Engineering, 1–8. https://doi.org/10.1080/14488388.2023.2220154
Jurova, J. (2017). Do the Virtual Communities Match the Real Ones? (Communitarian Perspective). Communications - Scientific Letters of the University of Zilina, 19(1), 14–18. https://doi.org/10.26552/com.C.2017.1.14-18
Kanwal, S., Azam, A., Gulzar, M., & Santos-GarcÃa, G. (2022). A Fixed Point Approach to Lattice Fuzzy Set via F-Contraction. Mathematics, 10(19), 3673. https://doi.org/10.3390/math10193673
Kazanidis, I., Pellas, N., Fotaris, P., & Tsinakos, A. (2019). Can the flipped classroom model improve students’ academic performance and training satisfaction in Higher Education instructional media design courses? British Journal of Educational Technology, 50(4), 2014–2027. https://doi.org/10.1111/bjet.12694
Ke, F., & Xu, X. (2020). Virtual reality simulationâ€based learning of teaching with alternative perspectives taking. British Journal of Educational Technology, 51(6), 2544–2557. https://doi.org/10.1111/bjet.12936
Khan, M. B., Santos-GarcÃa, G., Noor, M. A., & Soliman, M. S. (2022). New Class of Preinvex Fuzzy Mappings and Related Inequalities. Mathematics, 10(20), 3753. https://doi.org/10.3390/math10203753
Kholiq, A., Ismail, A., Permata, K. I., & Ali, M. S. (2022). Socio-religious Practices of Kalang Shaman: Symbol of Minority People’s Resistance in Indonesia. JSW (Jurnal Sosiologi Walisongo), 6(2), 145–158. https://doi.org/10.21580/jsw.2022.6.2.12123
Låg, T., & Sæle, R. G. (2019). Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis. AERA Open, 5(3), 233285841987048. https://doi.org/10.1177/2332858419870489
Liu, Y., & Quan, Q. (2022). AI Recognition Method of Pronunciation Errors in Oral English Speech with the Help of Big Data for Personalized Learning. Journal of Information & Knowledge Management, 21, 2240028. https://doi.org/10.1142/S0219649222400287
Manjunath, K. E., & Sreenivasa Rao, K. (2018). Improvement of Phone Recognition Accuracy Using Articulatory Features. Circuits, Systems, and Signal Processing, 37(2), 704–728. https://doi.org/10.1007/s00034-017-0568-8
Mi, Q., & Gao, T. (2022). Improved Belgian AI Algorithm for Dynamic Management in Action Role-Playing Games. Applied Sciences, 12(22), 11860. https://doi.org/10.3390/app122211860
Muyassaroh, I., Yulistia, A., & Pratikno, A. S. (2022). Analisis Pembelajaran Sains melalui Flipped-Problem Based Learning Berbantuan Zoom Meeting dan E-Campus Pelita Bangsa. DWIJA CENDEKIA: Jurnal Riset Pedagogik, 6(2), 433. https://doi.org/10.20961/jdc.v6i2.63000
Nahak, S., Pathak, A., & Saha, G. (2023). Fragment-level classification of ECG arrhythmia using wavelet scattering transform. Expert Systems with Applications, 224, 120019. https://doi.org/10.1016/j.eswa.2023.120019
Nerantzi, C. (2020). The Use of Peer Instruction and Flipped Learning to Support Flexible Blended Learning During and After the COVID-19 Pandemic. International Journal of Management and Applied Research, 7(2), 184–195. https://doi.org/10.18646/2056.72.20-013
Nguyen Thi Phuong, H., Shin, C.-S., & Jeong, H.-Y. (2021). Finding the Differences in Capillaries of Taste Buds between Smokers and Non-Smokers Using the Convolutional Neural Networks. Applied Sciences, 11(8), 3460. https://doi.org/10.3390/app11083460
Playfoot, D. (2023). Flipped Classrooms in Undergraduate Statistics: Online Works Just Fine. Teaching of Psychology, 50(3), 243–247. https://doi.org/10.1177/00986283211046319
Poniatowski, K. (2019). Assessing Flipped Versus Traditional Classrooms: Is Flipping Really Better? Journalism & Mass Communication Educator, 74(4), 422–437. https://doi.org/10.1177/1077695819835037
Putri, D. S., Colily, Y. M., & Zukhrufurrohmah, Z. (2023). Analysis of the Flipped Classroom Model Using Digital Media in Improving Students’ Mathematical Communication Skills. Mathematics Education Journal, 7(1), 123–135. https://doi.org/10.22219/mej.v7i1.23335
Ruiz De Miras, J., Balsasâ€Almagro, J. R., & GarcÃaâ€Fernández, Ã. L. (2021). Using flipped classroom and peer instruction methodologies to improve introductory computer programming courses. Computer Applications in Engineering Education, 30(1), 133-145. https://doi.org/10.1002/cae.22447
Said, M. N. H. M., & Zainal, R. (2017). A Review of Impacts and Challenges of Flipped-Mastery Classroom. Advanced Science Letters, 23(8), 7763–7766. https://doi.org/10.1166/asl.2017.9571
Schiavo, R. (2021). What is true community engagement and why it matters (now more than ever). Journal of Communication in Healthcare, 14(2), 91–92. https://doi.org/10.1080/17538068.2021.1935569
Schijven, M. P., & Kikkawa, T. (2022). Is there any (artificial) intelligence in gaming? Simulation & Gaming, 53(4), 315–316. https://doi.org/10.1177/10468781221101685
Stallwood, J., & Ranchhod, A. (2017). The Right to Remember: Implementing a Rudimentary Emotive-Effect Layer for Frustration on AI Agent Gameplay Strategy. Computers, 6(2), 18. https://doi.org/10.3390/computers6020018
Walker, S., Mercea, D., & Bastos, M. (2019). The disinformation landscape and the lockdown of social platforms. Information, Communication & Society, 22(11), 1531–1543. https://doi.org/10.1080/1369118X.2019.1648536
Wang, A., Xiao, R., Zhang, C., Yuan, L., Lin, N., Yan, L., Wang, Y., Yu, J., Huang, Q., Gan, P., Xiong, C., Xu, Q., & Liao, H. (2022). Effectiveness of a combined problem-based learning and flipped classroom teaching method in ophthalmic clinical skill training. BMC Medical Education, 22(1), 487. https://doi.org/10.1186/s12909-022-03538-w
Widayati, S., Fahmi, M. H., Setiyaningsih, L. A., & Wibowo, A. P. (2021). Digital Community Development: Media Pelestarian Kearifan Lokal Wisata Jurang Toleh Kabupaten Malang. Jurnal Nomosleca, 7(1), 29–44. https://doi.org/10.26905/nomosleca.v7i1.5490
Widyaningrum, A. Y. (2021). Kajian Tentang Komunitas Virtual: Kesempatan dan Tantangan Kajian di Bidang Ilmu Komunikasi. Jurnal Komunikatif, 10(2), 141–152. https://doi.org/10.33508/jk.v10i2.3457
Zyoud, S. H., & Zyoud, A. H. (2021). Visualization and Mapping of Knowledge and Science Landscapes in Expert Systems With Applications Journal: A 30 Years’ Bibliometric Analysis. SAGE Open, 11(2), 215824402110275. https://doi.org/10.1177/21582440211027574
Author Biographies
Iwan Purnama, Universitas Labuhanbatu
Menrisal, Universitas Putra Indonesia
Nuridin Widya Pranoto, Universitas Negeri Padang
Ruth Rize Paas Megahati S, Kesuma Bangsa Health Polytechnic
License
Copyright (c) 2023 Iwan Purnama, Menrisal, Nuridin Widya Pranoto, Ruth Rize Paas Megahati S
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).