Systematic Reviews and Meta Analysis
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Eğitim Bilimleri Çalışmalarında Kullanılan Ağ Yaklaşımının Kavramsal Haritalanması

Year 2023, , 333 - 355, 01.01.2023
https://doi.org/10.9779/pauefd.1087757

Abstract

Ağ toplumu olarak tanımlanan günümüz toplumunun yapısına özgü uygulamalara eğitim bilimleri alanında da çeşitli şekillerde rastlanılmaktadır. Bu makalede, eğitim bilimlerinin hangi alt-alanlarında ağ yaklaşımının kullanıldığına ilişkin sistematik alanyazın taraması yapılmış ve ortaya çıkan konular analitik bir çerçevede araştırmacılara ve öğretim tasarımcılarına yol gösterecek şekilde kavramsal bütünlük içinde tartışılmıştır. Bu amaçla, büyük metinsel verilerde gizli veya soyut konuları ortaya çıkarmak için kullanılan BERTopic konu modelleme tekniğinden yararlanılmıştır. .konu modelleme sonucu elde edilen 10 konu değerlendirildiğinde şu boyutlar öne çıkmıştır: 1-) eğitimde rol alan grupların tanımlanmasında bilimsel araştırma yöntemi olarak Sosyal Ağ Analizinden yararlanılması, 2-) Dayanışma, yardımlaşma ve etkileşim gerektiren konularda bu kavramın yaygın olarak benimsenmesi, 3-) Öğrenme ağlarında farklı ilişki türlerinin veya rollerin yapısal, yönetsel ve ilişkisel bir işleyişle değerlendirilmesi. Bu araştırma sonuçları da göstermektedir ki araştırmacıların eğitimde giderek yaygınlaşan bir öğrenme ortamının doğru anlaşılabilmesi için Sosyal Ağ Analizi gibi tekniklere ilişkin bilgi ve beceriye sahip olmaları gerekmektedir.

References

  • Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. The Journal of machine Learning research, 3, 993-1022.
  • Comins, J. A., & Hussey, T. W. (2015). Compressing multiple scales of impact detection by Reference Publication Year Spectroscopy. Journal of Informetrics, 9(3), 449-454.
  • Comins, J. A., & Hussey, T. W. (2015). Detecting seminal research contributions to the development and use of the global positioning system by reference publication year spectroscopy. Scientometrics, 104(2), 575-580.
  • de Laat M., & Ryberg T. (2018) Celebrating the Tenth Networked Learning Conference: Looking Back and Moving Forward. In: Bonderup Dohn N., Cranmer S., Sime JA., de Laat M., Ryberg T. (eds) Networked Learning. Research in Networked Learning. Springer, Cham. https://doi.org/10.1007/978-3-319-74857-3_1
  • De Lima, J. Á. (2010). Thinking more deeply about networks in education. Journal of Educational Change, 11(1), 1-21. Elango, B., Bornmann, L., & Kannan, G. (2016). Detecting the historical roots of tribology research: a bibliometric analysis. Scientometrics, 107(1), 305-313.
  • Estabrooks, C. A., Derksen, L., Winther, C., Lavis, J. N., Scott, S. D., Wallin, L., & Profetto-McGrath, J. (2008). The intellectual structure and substance of the knowledge utilization field: A longitudinal author co-citation analysis, 1945 to 2004. Implementation Science, 3(1), 1-22.
  • Grootendorst, M. (2020). Bertopic: Leveraging bert and c-tf-idf to create easily interpretable topics. Kilgore, C. D. (2013). Rhetoric of the network: Toward a new metaphor. Mosaic: a journal for the interdisciplinary study of literature, 37-58.
  • Kop, R., & Hill, A. (2008). Connectivism: Learning theory of the future or vestige of the past? International Review of Research in Open and Distance Learning, 9 (3), 1-13.
  • Kuhn T. S. (1962). The structure of scientific revolutions. University of chicago press Kumari, R., Jeong, J. Y., Lee, B. H., Choi, K. N., & Choi, K. (2019). Topic modelling and social network analysis of publications and patents in humanoid robot technology. Journal of Information Science, 0165551519887878.
  • Liu, L., Tang, L., Dong, W., Yao, S., & Zhou, W. 2016. An Overview of Topic Modeling and Its Current Applications in Bioinformatics. SpringerPlus, 5(1): 1608. http://doi.org/10.1186/s40064-016-3252-8
  • Marx, W., Bornmann, L., Barth, A., & Leydesdorff, L. (2014). Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS). Journal of the Association for Information Science and Technology, 65(4), 751-764.
  • Mathew, G., Agrawal, A., & Menzies, T. (2018). Finding trends in software research. IEEE Transactions on Software Engineering.
  • Mazzei, D., Chiarello, F., & Fantoni, G. (2021). Analyzing social robotics research with natural language processing techniques. Cognitive Computation, 13(2), 308-321.
  • Merton, R. K. (1965). On the Shoulders of Giants: A Shandean Postscript. Chicago, IL: University of Chicago Press.
  • Ozturk, H. T., & Ozcinar, H. (2013). Learning in multiple communities from the perspective of knowledge capital. The International Review of Research in Open and Distributed Learning, 14(1), 204-221. https://doi.org/10.19173/irrodl.v14i1.1277
  • Schober, R. (2014). Transcending boundaries: the network concept in nineteenth-century American philosophy and literature. American Literature, 86(3), 493-521.
  • Small, H. (2004). On the shoulders of Robert Merton: Towards a normative theory of citation. Scientometrics, 60(1), 71-79.
  • Thor, A., Bornmann, L., Marx, W., & Mutz, R. (2018). Identifying single influential publications in a research field: New analysis opportunities of the CRExplorer. Scientometrics, 116(1), 591-608.
  • Trentin, G. (2010). Networked Collaborative Learning: Social interaction and active learning. Oxford: Chandos Publishing. Wenger, E., Trayner, B., & de Laat, M. (2011). Promoting and assessing value creation in communities and network :A conceptual framework. Retrieved from http://wenger-trayner.com/documents/Wenger_Trayner_DeLaat_Value_creation.pdf
  • Wray, K. B., & Bornmann, L. (2015). Philosophy of science viewed through the lense of “Referenced Publication Years Spectroscopy”(RPYS). Scientometrics, 102(3), 1987-1996.
  • Ziman, J. (2000). Real science: What it is and what it means, Cambridge University Press, Cambridge, New York.

Conceptual Mapping of Network Approach Used in the Studies of Educational Sciences

Year 2023, , 333 - 355, 01.01.2023
https://doi.org/10.9779/pauefd.1087757

Abstract

The practices specific to the structure of today's society, which is defined as the network society, are also reflected in the field of educational sciences in various forms. In the present paper, a systematic literature review has been conducted, and the emerging issues have been discussed in an analytical framework in conceptual integrity to guide researchers and instructional designers. For this purpose, the BERTopic topic modeling technique, which is used to reveal hidden or abstract issues in large textual data, was used. Ten topics emerged as a result of the topic modeling. When the topics were evaluated, the following dimensions came into prominence: 1-) use of Social Network Analysis as a scientific research method in the definition of the groups involved in education, 2-) widespread adoption of this concept in matters that require solidarity, cooperation, and interaction, 3-) Examining different types of relationships or roles in learning networks with a structural, managerial and relational functioning. The results of this research show that researchers need to have knowledge and skills in techniques such as Social Network Analysis in order to correctly understand a learning environment that is becoming increasingly widespread in education.

References

  • Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. The Journal of machine Learning research, 3, 993-1022.
  • Comins, J. A., & Hussey, T. W. (2015). Compressing multiple scales of impact detection by Reference Publication Year Spectroscopy. Journal of Informetrics, 9(3), 449-454.
  • Comins, J. A., & Hussey, T. W. (2015). Detecting seminal research contributions to the development and use of the global positioning system by reference publication year spectroscopy. Scientometrics, 104(2), 575-580.
  • de Laat M., & Ryberg T. (2018) Celebrating the Tenth Networked Learning Conference: Looking Back and Moving Forward. In: Bonderup Dohn N., Cranmer S., Sime JA., de Laat M., Ryberg T. (eds) Networked Learning. Research in Networked Learning. Springer, Cham. https://doi.org/10.1007/978-3-319-74857-3_1
  • De Lima, J. Á. (2010). Thinking more deeply about networks in education. Journal of Educational Change, 11(1), 1-21. Elango, B., Bornmann, L., & Kannan, G. (2016). Detecting the historical roots of tribology research: a bibliometric analysis. Scientometrics, 107(1), 305-313.
  • Estabrooks, C. A., Derksen, L., Winther, C., Lavis, J. N., Scott, S. D., Wallin, L., & Profetto-McGrath, J. (2008). The intellectual structure and substance of the knowledge utilization field: A longitudinal author co-citation analysis, 1945 to 2004. Implementation Science, 3(1), 1-22.
  • Grootendorst, M. (2020). Bertopic: Leveraging bert and c-tf-idf to create easily interpretable topics. Kilgore, C. D. (2013). Rhetoric of the network: Toward a new metaphor. Mosaic: a journal for the interdisciplinary study of literature, 37-58.
  • Kop, R., & Hill, A. (2008). Connectivism: Learning theory of the future or vestige of the past? International Review of Research in Open and Distance Learning, 9 (3), 1-13.
  • Kuhn T. S. (1962). The structure of scientific revolutions. University of chicago press Kumari, R., Jeong, J. Y., Lee, B. H., Choi, K. N., & Choi, K. (2019). Topic modelling and social network analysis of publications and patents in humanoid robot technology. Journal of Information Science, 0165551519887878.
  • Liu, L., Tang, L., Dong, W., Yao, S., & Zhou, W. 2016. An Overview of Topic Modeling and Its Current Applications in Bioinformatics. SpringerPlus, 5(1): 1608. http://doi.org/10.1186/s40064-016-3252-8
  • Marx, W., Bornmann, L., Barth, A., & Leydesdorff, L. (2014). Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS). Journal of the Association for Information Science and Technology, 65(4), 751-764.
  • Mathew, G., Agrawal, A., & Menzies, T. (2018). Finding trends in software research. IEEE Transactions on Software Engineering.
  • Mazzei, D., Chiarello, F., & Fantoni, G. (2021). Analyzing social robotics research with natural language processing techniques. Cognitive Computation, 13(2), 308-321.
  • Merton, R. K. (1965). On the Shoulders of Giants: A Shandean Postscript. Chicago, IL: University of Chicago Press.
  • Ozturk, H. T., & Ozcinar, H. (2013). Learning in multiple communities from the perspective of knowledge capital. The International Review of Research in Open and Distributed Learning, 14(1), 204-221. https://doi.org/10.19173/irrodl.v14i1.1277
  • Schober, R. (2014). Transcending boundaries: the network concept in nineteenth-century American philosophy and literature. American Literature, 86(3), 493-521.
  • Small, H. (2004). On the shoulders of Robert Merton: Towards a normative theory of citation. Scientometrics, 60(1), 71-79.
  • Thor, A., Bornmann, L., Marx, W., & Mutz, R. (2018). Identifying single influential publications in a research field: New analysis opportunities of the CRExplorer. Scientometrics, 116(1), 591-608.
  • Trentin, G. (2010). Networked Collaborative Learning: Social interaction and active learning. Oxford: Chandos Publishing. Wenger, E., Trayner, B., & de Laat, M. (2011). Promoting and assessing value creation in communities and network :A conceptual framework. Retrieved from http://wenger-trayner.com/documents/Wenger_Trayner_DeLaat_Value_creation.pdf
  • Wray, K. B., & Bornmann, L. (2015). Philosophy of science viewed through the lense of “Referenced Publication Years Spectroscopy”(RPYS). Scientometrics, 102(3), 1987-1996.
  • Ziman, J. (2000). Real science: What it is and what it means, Cambridge University Press, Cambridge, New York.
There are 21 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Hüseyin Özçınar 0000-0001-8715-2653

Tuğba Öztürk 0000-0001-6310-1763

Publication Date January 1, 2023
Submission Date March 14, 2022
Acceptance Date August 6, 2022
Published in Issue Year 2023

Cite

APA Özçınar, H., & Öztürk, T. (2023). Eğitim Bilimleri Çalışmalarında Kullanılan Ağ Yaklaşımının Kavramsal Haritalanması. Pamukkale Üniversitesi Eğitim Fakültesi Dergisi(57), 333-355. https://doi.org/10.9779/pauefd.1087757