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Year 2025, Volume: 12 Issue: 3, 701 - 726, 04.09.2025
https://doi.org/10.21449/ijate.1586688

Abstract

References

  • Agcasulu, H. (2018). A method for assessing relations in social sciences: Social Network Analysis. Journal of Graduate School of Social Sciences, 22(Special Issue 2), 1915-1933.
  • Al, U. (2008). Scientific Publication Policy of Turkey: A Bibliometric Approach Based on Citation Indexes (Unpublished Doctoral Dissertation), Hacettepe University, Ankara.
  • Apostolato, I.A. (2013). An overview of software applications for social network analysis. International Review of Social Research, 3(3), 71-77. https://doi.10.1515/irsr-2013-0023
  • Bandyopadhyay, S., Rao, A.R., &Sinha, B.K. (2011). One introduction to social network analysis, Sage.
  • Bardakçı, S., Alakurt, T., & Keser, H. (2014). Student roles and behaviors in online learning environments. Hacettepe University Journal of Education, 29(1), 47-60.
  • Barton, A. (1968). Bringing society back in survey research and macro-methodology. American Behavioral Scientist, 12(2), 1–9.
  • Biancani, S., & McFarland, D.A. (2013). Social networks research in higher education. W.P. Laura (Ed). In Higher education: Handbook of theory and research (pp. 151-215). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5836-0_4
  • Borgatti, S.P., Everett, M.G. & Freeman, L.C. (2002). Ucinet for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies.
  • Borgatti, S.P., Everett, M.G., & Johnson, J.C. (2013). Analyzing social networks, Sage.
  • Bozkurt, A., Akgun-Ozbek, E., Yilmazel, S., Erdogdu, E., Ucar, H., Guler, E., ..., Aydin, C. H. (2015). Trends in distance education research: A content analysis of journals 2009-2013. International Review of Research in Open and Distributed Learning, 16(1), 330-363.
  • Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
  • Carolan, B.V. (2013). Social network analysis and education: Theory, methods &applications. Sage.
  • Cela, K.L., Sicilia, M.Á., &Sánchez, S. (2015). Social network analysis in e-learning environments: A preliminary systemati creview. Educational Psychology Review, 27(1), 219-246. https://doi.org/10.1007/s10648-014-9276-0
  • Cela, K., Sicilia, M.Á., & Sánchez‐Alonso, S. (2016). Influence of learning styles on social structures in online learning environments. British Journal of Educational Technology, 47(6), 1065-1082. https://doi.org/10.1111/bjet.12267
  • Chen, B., & Huang, T. (2019). It is about timing: Network prestige in asynchronous online discussions. Journal of Computer Assisted Learning, 35(4), 503 515. https://doi.org/10.1111/jcal.12355
  • Cohen, L.M., Manion, L., & Morrison, K. (2011). Research methods in education. Routledge.
  • Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107-115. https://doi.org/10.1111/j.1365-2648.2007.04569.x
  • Ergün, E., &Usluel, Y.K. (2016). An analysis of density and degree-centrality according to the social networking structure formed in an online learning environment. Journal of Educational Technology & Society, 19(4), 34 46. https://www.jstor.org/stable/jeductechsoci.19.4.34
  • Freeman, L.C. (2004). The development of social network analysis: A study in the sociology of science. ΣP EmpiricalPress.
  • Froehlich, D.E., Van Waes, S., & Schäfer, H. (2020). Linking quantitative and qualitative network approaches: A review of mixed methods social network analysis in education research. Review of research in education, 44(1), 244 268. https://doi.org/10.3102/0091732X20903311
  • Gray, K., Thompson, C., Sheard, J., Clerehan, R., & Hamilton, M. (2010). Students as Web 2.0 authors: Implications for assessment design and conduct. Australasian Journal of Educational Technology, 26(1), 105-122. https://doi.org/10.14742/ajet.1105
  • Grunspan, D.Z., Wiggins, B.L., & Goodreau, S.M. (2014). Understanding classrooms through social network analysis: A primer for social network analysis in education research. CBE-Life Sciences Education, 13(2), 167-178. https://doi.org/10.1187/cbe.13-08-0162
  • Grützmann, A., Zambalde, A.L., & De SouzaBermejo, P.H. (2016). Internet Technologies and Innovation: A Framework Based on the Study of Brazilian Companies. In Handbook of Research on Information Architecture and Management in Modern Organizations (pp. 256-273). IGI Global. https://doi.10.4018/978-1-4666-8637-3.ch012
  • Hansen, D.L., Shneiderman, B., Smith, M.A., & Himelboim, I. (2020). Analyzing Social Media Networks With Node XL Insights from a Connected World (Second Edition). Elsevier. https://doi.org/10.1016/C2018-0-01348-1
  • Haythornthwaite, C. (2008). Learning relations and networks in web-based communities. International Journal of Web Based Communities, 4(2), 140 158. https://doi.org/10.1504/IJWBC.2008.017669
  • Holmes, K. (2005). Analysis of asynchronous online discussion using the SOLO Taxonomy. Australian Journal of Educational & Developmental Psychology, 5, 117-127.
  • Hopkins, M. (2017). A Review of social network analysis and education: Theory, methods, and applications. Journal of Educational and Behavioral Statistics, 42(5), 639 646. https://doi.org/10.3102/107699861769811
  • Hu, C., &Racherla, P. (2008). Visual representation of knowledge networks: A social network analysis of hospitality research domain. International Journal of Hospitality Management, 27(2), 302-312. https://doi.org/10.1016/j.ijhm.2007.01.002
  • Jan, S.K., & Vlachopoulos, P. (2019). Social network analysis: A framework for identifying communities in higher education online learning. Technology, Knowledge and Learning, 24(4), 621-639. https://doi.org/10.1007/s10758-018-9375-y
  • Kasim, N.N.M., & Khalid, F. (2016). Choosing the right learning management system (LMS) for the higher education institution context: A systematic review. International Journal of Emerging Technologies in Learning, 11(6), 55-61. https://doi.org/10.3991/ijet.v11i06.5644
  • Khan, B.H. (1998). Web‐based instruction (WBI): An introduction. Educational Media International, 35(2), 63-71. https://doi.org/10.1080/0952398980350202
  • Krippendorff, K. (2004). Content analysis: An introduction to its methodology. Thousand Oaks. Sage.
  • Kuznetcova, I., Glassman, M., & Lin, T.J. (2019). Multi-user virtual environments as a pathway to distributed social networks in the classroom. Computers& Education, 130, 26-39. https://doi.org/10.1016/j.compedu.2018.11.004
  • Lee, J., & Bonk, C.J. (2016). Social network analysis of peer relationships and online interactions in a blended class using blogs. The Internet and Higher Education, 28, 35-44. https://doi.org/10.1016/j.iheduc.2015.09.001
  • Liebowitz, J. (2006). Keynotepaper: Developing knowledge and learning strategies in mobile organisations. International Journal of Mobile Learning and Organisation, 1(1), 5–14. https://doi.org/10.1504/IJMLO.2007.011186
  • Lombard, M., Snyder‐Duch, J., & Bracken, C.C. (2002). Content analysis in mass communication: Assessment and reporting of intercoder reliability. Human communication research, 28(4), 587-604.
  • Lorenzo, C.M., Sicilia, M.Á., &Sánchez, S. (2012). Studying the effectiveness of multi-user immersive environments for collaborative evaluation tasks. Computers & Education, 59(4), 1361-1376. https://doi.org/10.1016/j.compedu.2012.06.002
  • Markel, S.L., & Eci, E.E. (2001). Technology and education online discussion forums. Online Journal of Distance Learning Administration, 4. https://www.westga.edu/~distance/ojdla/summer42/markel42.pdf
  • Martinez, A., Dimitriadis, Y., Rubia, B., Gómez, E., & De La Fuente, P. (2003). Combining qualitative evaluation and social network analysis for the study of classroom social interactions. Computers& Education, 41(4), 353 368. https://doi.org/10.1016/j.compedu.2003.06.001
  • Martono, F., & Salam, U. (2017). Students' learning in asynchronous discussion forums: A meta-analysis. International Journal of Information and Communication Technology Education (IJICTE), 13(1), 48-60. https://doi.org/10.4018/IJICTE.2017010105
  • Molenda, M., &Januszewski, A. (2013). Educational technology: A definition with commentary. Routledge.
  • Moolenaar, N.M. (2012). A social network perspective on teacher collaboration in schools: Theory, methodology and applications. American Journal of Education, 119, 7-39. https://doi.org/10.1086/667715
  • Moore, J.L., Dickson-Deane, C., &Galyen, K. (2011). e-Learning, online learning, and distance learning environments: Are they the same?. The Internet and Higher Education, 14(2), 129-135. https://doi.10.1016/j.iheduc.2010.10.001
  • Msonde, S.E., & Van Aalst, J. (2017). Designing for interaction, thinking and Academic achievement in a Tanzanian undergraduate chemistry course. Educational Technology Research and Development, 65, 1389-1413. https://doi.10.1007/s11423-017-9531-4
  • Norman, H., Nordin, N., Yunus, M.M., &Ally, M. (2018). Instructional design of blended learning with MOOCs and social network analysis. Advanced Science Letters, 24(11), 7952-7955. https://doi.org/10.1166/asl.2018.12464
  • Özdemir, O. & Keser, N. (2019). A network analysis of thecomparison of social networking role of students in learning environments. Turkish Journal of Educational Studies, 6(2), 1-30. https://doi.org/10.33907/turkjes.559160
  • Page, M.J., Moher, D., Bossuyt, P.M., Boutron, I., Hoffmann, T.C., Mulrow, C.D., …, McKenzie, J.E. (2021). PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ 2021, 372. https://doi.org/10.1136/bmj.n160
  • Palonen, T., & Hakkarainen, K. (2014). Social network analyses of learning at workplaces. In Discourses on professional learning: On the boundary between learning and working (pp. 293-315). Springer.
  • Parks‐Stamm, E.J., Zafonte, M., &Palenque, S.M. (2017). The effects of instructor participation and class size on student participation in an online class discussion forum. British Journal of Educational Technology, 48(6), 1250-1259. https://doi.org/10.1111/bjet.12512
  • Scott, J. (2000). Social Network Analysis: A handbook. Sage.
  • Shu, H., &Gu, X. (2018). Determining the differences between online and face-to-face student–group interactions in a blended learning course. The Internet and Higher Education, 39, 13-21. https://doi.org/10.1016/j.iheduc.2018.05.003
  • Sie, R.L., Ullmann, T.D., Rajagopal, K., Cela, K., Bitter–Rijpkema, M., & Sloep, P.B. (2012). Social network analysis for technology-enhanced learning: Review and future directions. International Journal of Technology Enhanced Learning, 4(3), 172 190. https://doi.org/10.1504/IJTEL.2012.051582
  • Somyürek & Güyer (2020). Social Network Analysis. G. Tüyer, Y. Halil, Yıldırım, S. (Ed.). In Educational data mining and learning analytics (pp. 329-375). Anı Publishing.
  • Sosa, S. (2022). Social network analysis. J. Vonk & T.K. Shackelford (Eds). In Encyclopedia of animal cognition and behavior (pp. 6527-6544). Springer International Publishing.
  • Srichanyachon, N. (2014). EFL learners' perceptions of using LMS. Turkish Online Journal of Educational Technology-TOJET, 13(4), 30-35.
  • Thelwall, M. (2008). Bibliometrics to webometrics. Journal of Information Science, 34(4), 605-621. https://doi.org/10.1177/0165551507087238
  • Vázquez-Cano, E., Martín-Monje, E., &Castrillo de Larreta-Azelain, M.D. (2016). Analysis of PLEs' Implementatio nunder OER Design as a Productive Teaching-Learning Strategy in Higher Education. Digital Education Review, 29, 62-85.
  • Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge, Cambridge University.
  • We are Social (2020). Digital in 2020. https://wearesocial.com/blog/2020/01/digital-2020-3-8-billion-people-use-social-media
  • Zhang, K., & Aslan, A.B. (2021). AI Technologies for education: Recent research &future directions. Computers and Education: Artificial Intelligence, 2, 100025. https://doi.org/10.1016/j.caeai.2021.100025

Investigation of higher education level social network analysis studies in educational sciences

Year 2025, Volume: 12 Issue: 3, 701 - 726, 04.09.2025
https://doi.org/10.21449/ijate.1586688

Abstract

In this study, we conducted a holistic analysis of educational studies on social network analysis (SNA) in higher education. To this end, articles published in Web of Science between 2010 and 2020 on social network analysis at higher education level in the field of educational sciences were analyzed using content analysis. A systematic review of available literature using the PRISMA flowchart was conducted. The key terms used to search for relevant publications were “Social Network Analysis” and “SNA”; “higher education”, "post-secondary education”, "third-level”, "tertiary education”, “graduate”, “undergraduate”, “post-graduate”, "postgraduate”. Studies in the “education, educational research," and “educational sciences" categories were filtered, as our goal was to examine studies related to education. A total of 75 relevant publications were selected based on the predefined selection criteria. The publication year of the reviewed studies, application fields, software tools, data analysis methods, data collection tools, structural characteristics of metrics, learning environments, and interaction tools in the learning environment were analyzed. The results provide suggestions for future research, emphasizing the need for a diverse approach in selecting SNA metrics. Our findings also emphasize the strong potential of SNA practices in the learning process and offer an insight into SNA practice at the higher education level in terms of determining interaction and engagement in the learning process and ultimately maximizing learning outcomes.

References

  • Agcasulu, H. (2018). A method for assessing relations in social sciences: Social Network Analysis. Journal of Graduate School of Social Sciences, 22(Special Issue 2), 1915-1933.
  • Al, U. (2008). Scientific Publication Policy of Turkey: A Bibliometric Approach Based on Citation Indexes (Unpublished Doctoral Dissertation), Hacettepe University, Ankara.
  • Apostolato, I.A. (2013). An overview of software applications for social network analysis. International Review of Social Research, 3(3), 71-77. https://doi.10.1515/irsr-2013-0023
  • Bandyopadhyay, S., Rao, A.R., &Sinha, B.K. (2011). One introduction to social network analysis, Sage.
  • Bardakçı, S., Alakurt, T., & Keser, H. (2014). Student roles and behaviors in online learning environments. Hacettepe University Journal of Education, 29(1), 47-60.
  • Barton, A. (1968). Bringing society back in survey research and macro-methodology. American Behavioral Scientist, 12(2), 1–9.
  • Biancani, S., & McFarland, D.A. (2013). Social networks research in higher education. W.P. Laura (Ed). In Higher education: Handbook of theory and research (pp. 151-215). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5836-0_4
  • Borgatti, S.P., Everett, M.G. & Freeman, L.C. (2002). Ucinet for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies.
  • Borgatti, S.P., Everett, M.G., & Johnson, J.C. (2013). Analyzing social networks, Sage.
  • Bozkurt, A., Akgun-Ozbek, E., Yilmazel, S., Erdogdu, E., Ucar, H., Guler, E., ..., Aydin, C. H. (2015). Trends in distance education research: A content analysis of journals 2009-2013. International Review of Research in Open and Distributed Learning, 16(1), 330-363.
  • Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
  • Carolan, B.V. (2013). Social network analysis and education: Theory, methods &applications. Sage.
  • Cela, K.L., Sicilia, M.Á., &Sánchez, S. (2015). Social network analysis in e-learning environments: A preliminary systemati creview. Educational Psychology Review, 27(1), 219-246. https://doi.org/10.1007/s10648-014-9276-0
  • Cela, K., Sicilia, M.Á., & Sánchez‐Alonso, S. (2016). Influence of learning styles on social structures in online learning environments. British Journal of Educational Technology, 47(6), 1065-1082. https://doi.org/10.1111/bjet.12267
  • Chen, B., & Huang, T. (2019). It is about timing: Network prestige in asynchronous online discussions. Journal of Computer Assisted Learning, 35(4), 503 515. https://doi.org/10.1111/jcal.12355
  • Cohen, L.M., Manion, L., & Morrison, K. (2011). Research methods in education. Routledge.
  • Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107-115. https://doi.org/10.1111/j.1365-2648.2007.04569.x
  • Ergün, E., &Usluel, Y.K. (2016). An analysis of density and degree-centrality according to the social networking structure formed in an online learning environment. Journal of Educational Technology & Society, 19(4), 34 46. https://www.jstor.org/stable/jeductechsoci.19.4.34
  • Freeman, L.C. (2004). The development of social network analysis: A study in the sociology of science. ΣP EmpiricalPress.
  • Froehlich, D.E., Van Waes, S., & Schäfer, H. (2020). Linking quantitative and qualitative network approaches: A review of mixed methods social network analysis in education research. Review of research in education, 44(1), 244 268. https://doi.org/10.3102/0091732X20903311
  • Gray, K., Thompson, C., Sheard, J., Clerehan, R., & Hamilton, M. (2010). Students as Web 2.0 authors: Implications for assessment design and conduct. Australasian Journal of Educational Technology, 26(1), 105-122. https://doi.org/10.14742/ajet.1105
  • Grunspan, D.Z., Wiggins, B.L., & Goodreau, S.M. (2014). Understanding classrooms through social network analysis: A primer for social network analysis in education research. CBE-Life Sciences Education, 13(2), 167-178. https://doi.org/10.1187/cbe.13-08-0162
  • Grützmann, A., Zambalde, A.L., & De SouzaBermejo, P.H. (2016). Internet Technologies and Innovation: A Framework Based on the Study of Brazilian Companies. In Handbook of Research on Information Architecture and Management in Modern Organizations (pp. 256-273). IGI Global. https://doi.10.4018/978-1-4666-8637-3.ch012
  • Hansen, D.L., Shneiderman, B., Smith, M.A., & Himelboim, I. (2020). Analyzing Social Media Networks With Node XL Insights from a Connected World (Second Edition). Elsevier. https://doi.org/10.1016/C2018-0-01348-1
  • Haythornthwaite, C. (2008). Learning relations and networks in web-based communities. International Journal of Web Based Communities, 4(2), 140 158. https://doi.org/10.1504/IJWBC.2008.017669
  • Holmes, K. (2005). Analysis of asynchronous online discussion using the SOLO Taxonomy. Australian Journal of Educational & Developmental Psychology, 5, 117-127.
  • Hopkins, M. (2017). A Review of social network analysis and education: Theory, methods, and applications. Journal of Educational and Behavioral Statistics, 42(5), 639 646. https://doi.org/10.3102/107699861769811
  • Hu, C., &Racherla, P. (2008). Visual representation of knowledge networks: A social network analysis of hospitality research domain. International Journal of Hospitality Management, 27(2), 302-312. https://doi.org/10.1016/j.ijhm.2007.01.002
  • Jan, S.K., & Vlachopoulos, P. (2019). Social network analysis: A framework for identifying communities in higher education online learning. Technology, Knowledge and Learning, 24(4), 621-639. https://doi.org/10.1007/s10758-018-9375-y
  • Kasim, N.N.M., & Khalid, F. (2016). Choosing the right learning management system (LMS) for the higher education institution context: A systematic review. International Journal of Emerging Technologies in Learning, 11(6), 55-61. https://doi.org/10.3991/ijet.v11i06.5644
  • Khan, B.H. (1998). Web‐based instruction (WBI): An introduction. Educational Media International, 35(2), 63-71. https://doi.org/10.1080/0952398980350202
  • Krippendorff, K. (2004). Content analysis: An introduction to its methodology. Thousand Oaks. Sage.
  • Kuznetcova, I., Glassman, M., & Lin, T.J. (2019). Multi-user virtual environments as a pathway to distributed social networks in the classroom. Computers& Education, 130, 26-39. https://doi.org/10.1016/j.compedu.2018.11.004
  • Lee, J., & Bonk, C.J. (2016). Social network analysis of peer relationships and online interactions in a blended class using blogs. The Internet and Higher Education, 28, 35-44. https://doi.org/10.1016/j.iheduc.2015.09.001
  • Liebowitz, J. (2006). Keynotepaper: Developing knowledge and learning strategies in mobile organisations. International Journal of Mobile Learning and Organisation, 1(1), 5–14. https://doi.org/10.1504/IJMLO.2007.011186
  • Lombard, M., Snyder‐Duch, J., & Bracken, C.C. (2002). Content analysis in mass communication: Assessment and reporting of intercoder reliability. Human communication research, 28(4), 587-604.
  • Lorenzo, C.M., Sicilia, M.Á., &Sánchez, S. (2012). Studying the effectiveness of multi-user immersive environments for collaborative evaluation tasks. Computers & Education, 59(4), 1361-1376. https://doi.org/10.1016/j.compedu.2012.06.002
  • Markel, S.L., & Eci, E.E. (2001). Technology and education online discussion forums. Online Journal of Distance Learning Administration, 4. https://www.westga.edu/~distance/ojdla/summer42/markel42.pdf
  • Martinez, A., Dimitriadis, Y., Rubia, B., Gómez, E., & De La Fuente, P. (2003). Combining qualitative evaluation and social network analysis for the study of classroom social interactions. Computers& Education, 41(4), 353 368. https://doi.org/10.1016/j.compedu.2003.06.001
  • Martono, F., & Salam, U. (2017). Students' learning in asynchronous discussion forums: A meta-analysis. International Journal of Information and Communication Technology Education (IJICTE), 13(1), 48-60. https://doi.org/10.4018/IJICTE.2017010105
  • Molenda, M., &Januszewski, A. (2013). Educational technology: A definition with commentary. Routledge.
  • Moolenaar, N.M. (2012). A social network perspective on teacher collaboration in schools: Theory, methodology and applications. American Journal of Education, 119, 7-39. https://doi.org/10.1086/667715
  • Moore, J.L., Dickson-Deane, C., &Galyen, K. (2011). e-Learning, online learning, and distance learning environments: Are they the same?. The Internet and Higher Education, 14(2), 129-135. https://doi.10.1016/j.iheduc.2010.10.001
  • Msonde, S.E., & Van Aalst, J. (2017). Designing for interaction, thinking and Academic achievement in a Tanzanian undergraduate chemistry course. Educational Technology Research and Development, 65, 1389-1413. https://doi.10.1007/s11423-017-9531-4
  • Norman, H., Nordin, N., Yunus, M.M., &Ally, M. (2018). Instructional design of blended learning with MOOCs and social network analysis. Advanced Science Letters, 24(11), 7952-7955. https://doi.org/10.1166/asl.2018.12464
  • Özdemir, O. & Keser, N. (2019). A network analysis of thecomparison of social networking role of students in learning environments. Turkish Journal of Educational Studies, 6(2), 1-30. https://doi.org/10.33907/turkjes.559160
  • Page, M.J., Moher, D., Bossuyt, P.M., Boutron, I., Hoffmann, T.C., Mulrow, C.D., …, McKenzie, J.E. (2021). PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ 2021, 372. https://doi.org/10.1136/bmj.n160
  • Palonen, T., & Hakkarainen, K. (2014). Social network analyses of learning at workplaces. In Discourses on professional learning: On the boundary between learning and working (pp. 293-315). Springer.
  • Parks‐Stamm, E.J., Zafonte, M., &Palenque, S.M. (2017). The effects of instructor participation and class size on student participation in an online class discussion forum. British Journal of Educational Technology, 48(6), 1250-1259. https://doi.org/10.1111/bjet.12512
  • Scott, J. (2000). Social Network Analysis: A handbook. Sage.
  • Shu, H., &Gu, X. (2018). Determining the differences between online and face-to-face student–group interactions in a blended learning course. The Internet and Higher Education, 39, 13-21. https://doi.org/10.1016/j.iheduc.2018.05.003
  • Sie, R.L., Ullmann, T.D., Rajagopal, K., Cela, K., Bitter–Rijpkema, M., & Sloep, P.B. (2012). Social network analysis for technology-enhanced learning: Review and future directions. International Journal of Technology Enhanced Learning, 4(3), 172 190. https://doi.org/10.1504/IJTEL.2012.051582
  • Somyürek & Güyer (2020). Social Network Analysis. G. Tüyer, Y. Halil, Yıldırım, S. (Ed.). In Educational data mining and learning analytics (pp. 329-375). Anı Publishing.
  • Sosa, S. (2022). Social network analysis. J. Vonk & T.K. Shackelford (Eds). In Encyclopedia of animal cognition and behavior (pp. 6527-6544). Springer International Publishing.
  • Srichanyachon, N. (2014). EFL learners' perceptions of using LMS. Turkish Online Journal of Educational Technology-TOJET, 13(4), 30-35.
  • Thelwall, M. (2008). Bibliometrics to webometrics. Journal of Information Science, 34(4), 605-621. https://doi.org/10.1177/0165551507087238
  • Vázquez-Cano, E., Martín-Monje, E., &Castrillo de Larreta-Azelain, M.D. (2016). Analysis of PLEs' Implementatio nunder OER Design as a Productive Teaching-Learning Strategy in Higher Education. Digital Education Review, 29, 62-85.
  • Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge, Cambridge University.
  • We are Social (2020). Digital in 2020. https://wearesocial.com/blog/2020/01/digital-2020-3-8-billion-people-use-social-media
  • Zhang, K., & Aslan, A.B. (2021). AI Technologies for education: Recent research &future directions. Computers and Education: Artificial Intelligence, 2, 100025. https://doi.org/10.1016/j.caeai.2021.100025
There are 60 citations in total.

Details

Primary Language English
Subjects Measurement and Evaluation in Education (Other)
Journal Section Articles
Authors

Akça Okan Yüksel 0000-0002-5430-0821

Sibel Somyürek 0000-0001-7803-1438

Early Pub Date July 21, 2025
Publication Date September 4, 2025
Submission Date November 17, 2024
Acceptance Date March 14, 2025
Published in Issue Year 2025 Volume: 12 Issue: 3

Cite

APA Yüksel, A. O., & Somyürek, S. (2025). Investigation of higher education level social network analysis studies in educational sciences. International Journal of Assessment Tools in Education, 12(3), 701-726. https://doi.org/10.21449/ijate.1586688

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