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Year 2020, Volume: 6 Issue: 4, 155 - 173, 30.10.2020

Abstract

References

  • Abdel‐Basset, M., Manogaran, G., Mohamed, M., & Rushdy, E. (2019). Internet of things in smart education environment: Supportive framework in the decision‐making process. Concurrency and Computation: Practice and Experience, 31: e4515.
  • Akçayır, M., Akçayır, G., Pektaş, H. M., & Ocak, M. A. (2016). Augmented reality in science laboratories: The effects of augmented reality on university students’ laboratory skills and attitudes toward science laboratories. Computers in Human Behavior, 57, 334-342.
  • Assante, D., Caforio, A., Flamini, M., & Romano, E. (2019). Smart education in the context of Industry 4.0. In Proceedings of the 2019 IEEE Global Engineering Education Conference (EDUCON), pp. 1140-1145.
  • Aynacı, İ. (2020). Dijital ikiz ve sağlık uygulamaları. İzmir Kâtip Çelebi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 3(1):70- 82.
  • Begg, R. (2020). Adopt digital twins to mitigate pandemic fallout https://www.machinedesign.com/automation-iiot/article/21131067/adopt-digital-twins-to-mitigate-impact-of-pandemic (Erişim Tarihi: 11.05.2020)
  • Berman, F., Rutenbar, R., Hailpern, B., Christensen, H., Davidson, S., Estrin, D., & Szalay, A. S. (2018). Realizing the potential of data science. Communications of the ACM, 61(4), 67-72.
  • Bilberg, A., & Malik, A. A. (2019). Digital twin driven human–robot collaborative assembly. CIRP Annals, 68(1), 499-502.
  • Cancan, A. (2019). Dijitalleşme sürecinde maliye ve yönetim muhasebe uygulamalarının incelenmesi, İşletme Anabilim Dalı Muhasebe ve Finansman Projesi, Pamukkale Üniversitesi.
  • Chen, Y. (2017). Integrated and intelligent manufacturing: Perspectives and enablers. Engineering, 3(5), 588-595.
  • Çelen, S. (2017). Sanayi 4.0 ve simülasyon. International Journal Of 3D Printing Technologies and Digital Industry. 1:1, 9-26.
  • Dambrot, S. M., de Kerchove, D., Flammini, F., Kinsner, W., MacDonald Glenn, L., & Saracco, R. (2018). IEEE Symbiotic autonomous systems white paper II. https://digitalreality.ieee.org/images/files/pdf/SAS-WP-II-2018-Finalv3.2.pdf (Erişim Tarihi: 20.04.2020)
  • David, J., Lobov, A., & Lanz, M. (2018). Leveraging digital twins for assisted learning of flexible manufacturing systems. In Proceedings of the 16th International Conference on Industrial Informatics (INDIN), pp. 529-535.
  • Dengiz, O. (2017). Endüstri 4.0: Üretimde kavram ve algı devrimi. Makina Tasarım ve İmalat Dergisi. 15:1, 38-45.
  • Escorsa, E. (2018) Digital twin: a glimpse at the main patented developments. https://www.ificlaims.com/news/view/blog-posts/digital-twin-patent.htm (Erişim Tarihi: 21.03.2020)
  • Erturan, E. İ. & Ergin, E. (2018). Dijital denetim ve dijital ikiz yöntemi. Muhasebe Bilim Dünyası Dergisi, 20(4); 810-830.
  • Flanders, M., & Kavanagh, R. C. (2015). Build‐A‐Robot: Using virtual reality to visualize the Denavit–Hartenberg parameters. Computer Applications in Engineering Education, 23(6), 846-853.
  • Fuller, A., Fan, Z., Day, C. & Barlow, C. (2020). Digital twin: Enabling technology, challenges and open research. IEEE Access.
  • Gartner, (2016). Gartner Top 10 Strategic Technology Trends for 2017. https://www.gartner.com/smarterwithgartner/gartners-top-10-technology-trends-2017/ (Erişim Tarihi: 21.03.2020)
  • Gartner, (2017). Gartner Top 10 Strategic Technology Trends for 2018. https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2018/ (Erişim Tarihi: 21.03.2020)
  • Gartner, (2018). Gartner Top 10 Strategic Technology Trends for 2019. https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2019/ (Erişim Tarihi: 21.03.2020)
  • Gartner, (2019). Gartner Top 10 Strategic Technology Trends for 2020. https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2020/ (Erişim Tarihi: 21.03.2020)
  • Grieves, M. (2014). Digital twin: Manufacturing excellence through virtual factory replication. http://www.apriso.com/library/Whitepaper Dr Grieves DigitalTwin ManufacturingExcellence.php,
  • Grieves, M. &Vickers, J. (2017). Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems. In Transdisciplinary perspectives on complex systems (pp. 85-113). Springer International Publishing.
  • Haag, S., & Anderl, R. (2018). Digital twin–Proof of concept. Manufacturing Letters, 15, 64-66.
  • Houten, H. V. (2018). How a virtual heart could save your real one. https://www.philips.com/a-w/about/news/archive/blogs/innovation-matters/20181112-how-a-virtual-heart-could-save-your-real-one.html (Erişim Tarihi: 22.03.2020)
  • Jensen, J. R., & Christensen, E. J. (1986). Solid and hazardous waste disposal site selection using digital geographic information system techniques. Science of the total environment, 56, 265-276.
  • Jirkovský V., Obitko M. & Mařík V. (2017). Understanding data heterogeneity in the context of cyber-physical systems integration, IEEE Transactions on Industrial Informatics, 13:2, pp. 660-667.
  • Kagermann, H., Wahlster, W. and Helbig, J. (2013). Recommendations for implementing the strategic initiative Industrie 4.0. Final report of the Industrie 4.0 Working Group in Acatech National Academy of Science and Engineering. https://www.din.de/blob/76902/e8cac883f42bf28536e7e8165993f1fd/recommendations-for-implementing-industry-4-0-data.pdf (Erişim Tarihi: 12.04.2020)
  • Kara, İ. (2019). Dijital verilerin imha süreçlerinin tanımlanması ve uygulama yönünden değerlendirilmesi. Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi, 3(2):52-58.
  • Kim, S. Y., Shin, B. S., & Choi, H. (2019). Virtual Reality Based Education with Mobile Device Platform. Mobile Information Systems. https://doi.org/10.1155/2019/6971319
  • Kinsner, W. (2019). Towards Evolving Symbiotic Education Based on Digital Twins. Mondo Digitale, 2.
  • Kitain, L. (2018). Digital Twin — The New age of Manufacturing. https://medium.com/datadriveninvestor/digital-twin-the-new-age-of-manufacturing d964eeba3313 (Erişim Tarihi: 20.03.2020)
  • Kocabay, İ. V. (2019). Dijital ikizler gömülü gerçek zamanlı üretim yürütme sistemi tasarımı: kitlesel özelleştirme ile üretim yapan bir firmada uygulama. Yüksek lisans tezi, Hacettepe Üniversitesi.
  • Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Prentice Hall.
  • Liu, Z., Meyendorf, N., & Mrad, N. (2018). The role of data fusion in predictive maintenance using digital twin. In AIP Conference Proceedings (p. 020023-6).
  • Madni, A. M., Madni, C. C., & Lucero, S. D. (2019). Leveraging digital twin technology in model-based systems engineering. Systems, 7(1), 7.
  • Mandolla, C., Petruzzelli, A. M., Percoco, G., & Urbinati, A. (2019). Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry. Computers in Industry, 109, 134-152.
  • Marr, B. (2017). What Is Digital Twin Technology – And Why Is It So Important? https://www.forbes.com/sites/bernardmarr/2017/03/06/what-is-digital-twin-technology-and-why-is-it-so-important/#4d67dd832e2a (Erişim Tarihi: 02.04.2020)
  • Mikell, M. & Clark, J. (2018). Cheat sheet: What is Digital Twin? https://www.ibm.com/blogs/internet-of-things/iot-cheat-sheet-digital-twin/ (Erişim Tarihi: 02.04.2020)
  • Mohammadi, N., & Taylor, J. E. (2017). Smart city digital twins. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1-5).
  • Osman, A., Yahya, A. A., & Kamal, M. B. (2018). A benchmark collection for mapping program educational objectives to ABET student outcomes: Accreditation. In 5th International Symposium on Data Mining Applications (pp. 46-60).
  • Özen, A. & Gürel, F.N. (2020). Kamu denetiminde dijital dönüşüm: Dijital ikiz yöntemi. İzmir Sosyal Bilimler Dergisi, 2 (1), 16-23.
  • Panetta, K. (2016). The challenges of creating, implementing and preparing for the IoT. https://www.gartner.com/smarterwithgartner/7-technologies-underpin-the-hype-cycle-for-the-internet-of-things-2016/ (Erişim Tarihi: 15.04.2020)
  • Panetta, K. (2018). Blockchain, quantum computing, augmented analytics and artificial intelligence will drive disruption and new business models. https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2019/ (Erişim Tarihi: 15.04.2020)
  • Peng, H., Ma, S., & Spector, J. M. (2019). Personalized adaptive learning: an emerging pedagogical approach enabled by a smart learning environment. Smart Learning Environments, 6(1), 9.
  • Puri, D. (2017). Oracle's digital twins implifies design process for complex IoT systems. https://www.networkworld.com/article/3235962/oracles-digital-twin-simplifies-design-process-for-complex-iot-systems.html. (Erişim Tarihi: 10.04.2020)
  • Qi, Q., & Tao, F. (2018). Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison. IEEE Access, 6, 3585-3593.
  • Rasheed, A., San, O., & Kvamsdal, T. (2020). Digital twin: Values, challenges and enablers from a modeling perspective. IEEE Access, 8, 21980-22012.
  • Rosen, R., Von Wichert, G., Lo, G., Bettenhausen, K.D. (2015). About the ımportance of autonomy and digital twins for the future of manufacturing, In Proceedings of the 15th IFAC Symposium on Information Control Problems in Manufacturing, 48, 3, pp. 567–572.
  • Sabir, A., Abbasi, N. A., & Islam, M. N. (2018). An electronic data management and analysis application for ABET accreditation. arXiv: Physics Education.
  • Schroeder, G. N., Steinmetz, C., Pereira, C. E., & Espindola, D. B. (2016). Digital twin data modeling with automationml and a communication methodology for data exchange. IFAC-PapersOnLine, 49(30), 12-17.
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  • Stanford-Clark, A., Frank-Schulz, E. & Harris, M. (2019). What are digital twins?”. https://developer.ibm.com/articles/what-are-digital-twins/ (Erişim Tarihi: 15.03.2020)
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Açık ve uzaktan öğrenmede dijital ikiz teknolojisinin kullanımına ilişkin bir değerlendirme

Year 2020, Volume: 6 Issue: 4, 155 - 173, 30.10.2020

Abstract

Dördüncü sanayi devrimi ve beraberinde süper akıllı toplumları yansıtan Toplum 5.0 ile yaşamın her alanında dönüşüm hızlanmıştır. Dijital dönüşüm sürecinin hızlandığı yirmi birinci yüzyılda sağlık, eğitim, sanayi, ulaşım, haberleşme gibi birçok alanda yaşanan değişimlerden ve dönüşümlerden etkilenmektedir. Bilişim ve ağ teknolojilerinde gelişmeler de yaşanan dönüşüm ve değişimleri hızlanmasına katkı sağlamıştır. Toplanılması, saklanılması, değiştirilmesi ve değerlendirilmesi daha kolay olan dijital verilerin kullanımı yaygınlaşmıştır. Fiziksel dünyaların birebir kopyası olan sanal dünyaların önemi artmıştır. Yapay zeka, nesnelerin interneti, sanal gerçeklik, arttırılmış gerçeklik, dijital ikiz gibi teknolojiler yükselişe geçmiştir. Bu çalışmada, önce dijital ikiz kavramına ilişkin yapılan tanımlar incelenmiş, sonra dijital ikiz teknolojisinin kullanım alanları ve örnekleri ile açık ve uzaktan öğrenmede kullanımı değerlendirilmiştir.

References

  • Abdel‐Basset, M., Manogaran, G., Mohamed, M., & Rushdy, E. (2019). Internet of things in smart education environment: Supportive framework in the decision‐making process. Concurrency and Computation: Practice and Experience, 31: e4515.
  • Akçayır, M., Akçayır, G., Pektaş, H. M., & Ocak, M. A. (2016). Augmented reality in science laboratories: The effects of augmented reality on university students’ laboratory skills and attitudes toward science laboratories. Computers in Human Behavior, 57, 334-342.
  • Assante, D., Caforio, A., Flamini, M., & Romano, E. (2019). Smart education in the context of Industry 4.0. In Proceedings of the 2019 IEEE Global Engineering Education Conference (EDUCON), pp. 1140-1145.
  • Aynacı, İ. (2020). Dijital ikiz ve sağlık uygulamaları. İzmir Kâtip Çelebi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 3(1):70- 82.
  • Begg, R. (2020). Adopt digital twins to mitigate pandemic fallout https://www.machinedesign.com/automation-iiot/article/21131067/adopt-digital-twins-to-mitigate-impact-of-pandemic (Erişim Tarihi: 11.05.2020)
  • Berman, F., Rutenbar, R., Hailpern, B., Christensen, H., Davidson, S., Estrin, D., & Szalay, A. S. (2018). Realizing the potential of data science. Communications of the ACM, 61(4), 67-72.
  • Bilberg, A., & Malik, A. A. (2019). Digital twin driven human–robot collaborative assembly. CIRP Annals, 68(1), 499-502.
  • Cancan, A. (2019). Dijitalleşme sürecinde maliye ve yönetim muhasebe uygulamalarının incelenmesi, İşletme Anabilim Dalı Muhasebe ve Finansman Projesi, Pamukkale Üniversitesi.
  • Chen, Y. (2017). Integrated and intelligent manufacturing: Perspectives and enablers. Engineering, 3(5), 588-595.
  • Çelen, S. (2017). Sanayi 4.0 ve simülasyon. International Journal Of 3D Printing Technologies and Digital Industry. 1:1, 9-26.
  • Dambrot, S. M., de Kerchove, D., Flammini, F., Kinsner, W., MacDonald Glenn, L., & Saracco, R. (2018). IEEE Symbiotic autonomous systems white paper II. https://digitalreality.ieee.org/images/files/pdf/SAS-WP-II-2018-Finalv3.2.pdf (Erişim Tarihi: 20.04.2020)
  • David, J., Lobov, A., & Lanz, M. (2018). Leveraging digital twins for assisted learning of flexible manufacturing systems. In Proceedings of the 16th International Conference on Industrial Informatics (INDIN), pp. 529-535.
  • Dengiz, O. (2017). Endüstri 4.0: Üretimde kavram ve algı devrimi. Makina Tasarım ve İmalat Dergisi. 15:1, 38-45.
  • Escorsa, E. (2018) Digital twin: a glimpse at the main patented developments. https://www.ificlaims.com/news/view/blog-posts/digital-twin-patent.htm (Erişim Tarihi: 21.03.2020)
  • Erturan, E. İ. & Ergin, E. (2018). Dijital denetim ve dijital ikiz yöntemi. Muhasebe Bilim Dünyası Dergisi, 20(4); 810-830.
  • Flanders, M., & Kavanagh, R. C. (2015). Build‐A‐Robot: Using virtual reality to visualize the Denavit–Hartenberg parameters. Computer Applications in Engineering Education, 23(6), 846-853.
  • Fuller, A., Fan, Z., Day, C. & Barlow, C. (2020). Digital twin: Enabling technology, challenges and open research. IEEE Access.
  • Gartner, (2016). Gartner Top 10 Strategic Technology Trends for 2017. https://www.gartner.com/smarterwithgartner/gartners-top-10-technology-trends-2017/ (Erişim Tarihi: 21.03.2020)
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  • Grieves, M. &Vickers, J. (2017). Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems. In Transdisciplinary perspectives on complex systems (pp. 85-113). Springer International Publishing.
  • Haag, S., & Anderl, R. (2018). Digital twin–Proof of concept. Manufacturing Letters, 15, 64-66.
  • Houten, H. V. (2018). How a virtual heart could save your real one. https://www.philips.com/a-w/about/news/archive/blogs/innovation-matters/20181112-how-a-virtual-heart-could-save-your-real-one.html (Erişim Tarihi: 22.03.2020)
  • Jensen, J. R., & Christensen, E. J. (1986). Solid and hazardous waste disposal site selection using digital geographic information system techniques. Science of the total environment, 56, 265-276.
  • Jirkovský V., Obitko M. & Mařík V. (2017). Understanding data heterogeneity in the context of cyber-physical systems integration, IEEE Transactions on Industrial Informatics, 13:2, pp. 660-667.
  • Kagermann, H., Wahlster, W. and Helbig, J. (2013). Recommendations for implementing the strategic initiative Industrie 4.0. Final report of the Industrie 4.0 Working Group in Acatech National Academy of Science and Engineering. https://www.din.de/blob/76902/e8cac883f42bf28536e7e8165993f1fd/recommendations-for-implementing-industry-4-0-data.pdf (Erişim Tarihi: 12.04.2020)
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  • Kim, S. Y., Shin, B. S., & Choi, H. (2019). Virtual Reality Based Education with Mobile Device Platform. Mobile Information Systems. https://doi.org/10.1155/2019/6971319
  • Kinsner, W. (2019). Towards Evolving Symbiotic Education Based on Digital Twins. Mondo Digitale, 2.
  • Kitain, L. (2018). Digital Twin — The New age of Manufacturing. https://medium.com/datadriveninvestor/digital-twin-the-new-age-of-manufacturing d964eeba3313 (Erişim Tarihi: 20.03.2020)
  • Kocabay, İ. V. (2019). Dijital ikizler gömülü gerçek zamanlı üretim yürütme sistemi tasarımı: kitlesel özelleştirme ile üretim yapan bir firmada uygulama. Yüksek lisans tezi, Hacettepe Üniversitesi.
  • Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Prentice Hall.
  • Liu, Z., Meyendorf, N., & Mrad, N. (2018). The role of data fusion in predictive maintenance using digital twin. In AIP Conference Proceedings (p. 020023-6).
  • Madni, A. M., Madni, C. C., & Lucero, S. D. (2019). Leveraging digital twin technology in model-based systems engineering. Systems, 7(1), 7.
  • Mandolla, C., Petruzzelli, A. M., Percoco, G., & Urbinati, A. (2019). Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry. Computers in Industry, 109, 134-152.
  • Marr, B. (2017). What Is Digital Twin Technology – And Why Is It So Important? https://www.forbes.com/sites/bernardmarr/2017/03/06/what-is-digital-twin-technology-and-why-is-it-so-important/#4d67dd832e2a (Erişim Tarihi: 02.04.2020)
  • Mikell, M. & Clark, J. (2018). Cheat sheet: What is Digital Twin? https://www.ibm.com/blogs/internet-of-things/iot-cheat-sheet-digital-twin/ (Erişim Tarihi: 02.04.2020)
  • Mohammadi, N., & Taylor, J. E. (2017). Smart city digital twins. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1-5).
  • Osman, A., Yahya, A. A., & Kamal, M. B. (2018). A benchmark collection for mapping program educational objectives to ABET student outcomes: Accreditation. In 5th International Symposium on Data Mining Applications (pp. 46-60).
  • Özen, A. & Gürel, F.N. (2020). Kamu denetiminde dijital dönüşüm: Dijital ikiz yöntemi. İzmir Sosyal Bilimler Dergisi, 2 (1), 16-23.
  • Panetta, K. (2016). The challenges of creating, implementing and preparing for the IoT. https://www.gartner.com/smarterwithgartner/7-technologies-underpin-the-hype-cycle-for-the-internet-of-things-2016/ (Erişim Tarihi: 15.04.2020)
  • Panetta, K. (2018). Blockchain, quantum computing, augmented analytics and artificial intelligence will drive disruption and new business models. https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2019/ (Erişim Tarihi: 15.04.2020)
  • Peng, H., Ma, S., & Spector, J. M. (2019). Personalized adaptive learning: an emerging pedagogical approach enabled by a smart learning environment. Smart Learning Environments, 6(1), 9.
  • Puri, D. (2017). Oracle's digital twins implifies design process for complex IoT systems. https://www.networkworld.com/article/3235962/oracles-digital-twin-simplifies-design-process-for-complex-iot-systems.html. (Erişim Tarihi: 10.04.2020)
  • Qi, Q., & Tao, F. (2018). Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison. IEEE Access, 6, 3585-3593.
  • Rasheed, A., San, O., & Kvamsdal, T. (2020). Digital twin: Values, challenges and enablers from a modeling perspective. IEEE Access, 8, 21980-22012.
  • Rosen, R., Von Wichert, G., Lo, G., Bettenhausen, K.D. (2015). About the ımportance of autonomy and digital twins for the future of manufacturing, In Proceedings of the 15th IFAC Symposium on Information Control Problems in Manufacturing, 48, 3, pp. 567–572.
  • Sabir, A., Abbasi, N. A., & Islam, M. N. (2018). An electronic data management and analysis application for ABET accreditation. arXiv: Physics Education.
  • Schroeder, G. N., Steinmetz, C., Pereira, C. E., & Espindola, D. B. (2016). Digital twin data modeling with automationml and a communication methodology for data exchange. IFAC-PapersOnLine, 49(30), 12-17.
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There are 64 citations in total.

Details

Primary Language Turkish
Subjects Other Fields of Education
Journal Section Articles
Authors

Selin Göçen 0000-0003-1495-7754

Publication Date October 30, 2020
Published in Issue Year 2020 Volume: 6 Issue: 4

Cite

APA Göçen, S. (2020). Açık ve uzaktan öğrenmede dijital ikiz teknolojisinin kullanımına ilişkin bir değerlendirme. Açıköğretim Uygulamaları Ve Araştırmaları Dergisi, 6(4), 155-173.