Yaşam Boyu Öğrenen Yetişkinlerin Bireysel Yenilikçilikleri ile Sosyal Ağlara Dayalı Öğrenme Algılarının İncelenmesi

Öz

Bu araştırmada, yetişkin öğrenenlerin sosyal ağlara dayalı öğrenme algıları ile bireysel yenilikçilikleri ve bunlar arasındaki ilişkilerin incelenmesi amaçlanmıştır. Araştırmada nicel araştırma yöntemlerinden ilişkisel tarama deseni kullanılmıştır. Araştırma örneklemini, 2023 – 2024 eğitim öğretim yılında, Yalova iline bağlı ilçelerdeki Halk Eğitimi Merkezlerinde eğitim almakta olan yetişkinler oluşturmaktadır. Katılımcılar seçkisiz olmayan amaçlı örneklem türlerinden ölçüt örneklem yöntemiyle belirlenmiştir. Araştırmaya 18-61 yaş üstü 363 yetişkin katılmıştır. Araştırma verileri Bireysel Yenilikçilik Ölçeği ve Sosyal Ağlara Dayalı Öğrenme Algısı ölçekleri ile toplanmıştır. Araştırma sonuçlarına göre, katılımcılar yeniliklere sorgulayıcı bir şekilde yaklaşmaktadırlar. Katılımcıların yenilikçilik düzeyleri düşüktür. Katılımcıların çoğunluğunun sosyal ağlara dayalı öğrenme algıları orta ve ortanın üzerindedir. Yetişkinlerin sosyal ağlara dayalı öğrenmeye yönelik algılarında, cinsiyet ve eğitim düzeyi değişkenleri dışındaki, yaş, sosyal ağ kullanım süresi ve sosyal ağlardaki arkadaş sayısı değişkenlerine göre farklılık vardır. Yetişkinlerin bireysel yenilikçilikleri ile sosyal ağlara dayalı öğrenme algıları arasında pozitif yönlü bir ilişki tespit edilmiştir.

Anahtar Kelimeler

• Yetişkinler
• Yaşam boyu öğrenme
• Sosyal ağ
• Bireysel yenilikçilik
• Sosyal ağa dayalı öğrenme

An Examination of Adult Lifelong Learners’ Individual Innovativeness and Their Perceptions of Social Network-Based Learning

Öz

This study aimed to examine adult learners’ perceptions of social network–based learning, their levels of individual innovativeness, and the relationships among these factors. For this purpose, a quantitative research method with a correlational survey design was employed. The research sample consisted of adults enrolled in Public Education Centers in Yalova province during the 2023–2024 academic year. Participants were selected using a non-random purposive sampling method, with 363 adults aged 18–61 participating in the study. The data were collected using the Individual Innovativeness Scale and the Social Network–Based Learning Perception Scale. The results indicate that participants fall into the early majority of the innovation adoption curve, with generally low levels of individual innovativeness. Most participants’ perceptions of social network–based learning are moderate or above moderate. Adults’ perceptions of social network–based learning vary by age, duration of social network use, and number of friends on social networks, but not by gender or education level. A positive relationship was found between adults’ innovativeness and their perceptions of social network–based learning.

Anahtar Kelimeler

• Adults
• Lifelong learning
• Social network
• Individual innovativeness
• Social network-based learning

Etik Beyan

This study was reviewed by the Bursa Uludağ University Social and Human Sciences Scientific Research and Publication Ethics Committee, December 18, 2023 and numbered 2023-12 was issued. This research, from planning and implementation to data collection and analysis, follows the “Publication Ethics Guidelines for Higher Education Institutions”. All rules specified in the process were followed. None of the actions mentioned under the title of “Actions Contrary to Scientific Research and Publication Ethics”, which is the second part of the directive, has been carried out. During the writing process of this research, scientific, ethical, and citation rules were followed. No falsification was made of the collected data. This study has not been submitted for evaluation to any other academic publication environment.

Kaynakça

1. Abdelraheem, A. Y. (2013, February). University students’ use of social networks sites and their relation with some variables. Paper presented at the WEI International Academic Conference, Antalya, Turkey. https://www.westeastinstitute.com/wp-content/uploads/2013/02/ANT13-240-Ahmed-Yousif-Abdelraheem-Full-Paper.pdf
2. Agudo-Peregrina, Á. F., Hernández-García, Á., & Pascual-Miguel, F. J. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301–314. https://doi.org/10.1016/j.chb.2013.10.035
3. Ahmad, M., Hussin, N., Zulkarnain, S., Mahdin, H., & Fudzee, M. F. Md. (2017). Factors influencing the use of social media in adult learning experience. In T. Herawan, R. Ghazali, N. M. Nawi, & M. M. Deris (Eds.), Recent advances on soft computing and data mining (Vol. 549, pp. 579–588). Springer International Publishing. https://doi.org/10.1007/978-3-319-51281-5_58
4. Ahmed, I., & Qazi, T. F. (2011). A look out for academic impacts of Social networking sites (SNSs): A student based perspective. African Journal of Business Management, 5(12), 5022. https://doi.org/10.5897/AJBM11.595
5. Akbari, E., & Simons, R. J. (2018). Efficacy of using social networks in learning and teaching based on self-determination theory: an interventional study. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 9(4). 10.5812/ijvlms.84540
6. Akça, F., & Şakar, Z. (2017). Öğretmen adaylarının bireysel yenilikçilik düzeylerinin incelenmesi. In Pegem Atıf İndeksi (pp. 451–462). Pegem Akademi. https://doi.org/10.14527/9786053188407.29
7. Åkerfeldt, A., Bergdahl, N., & Hrastinski, S. (2024). Adult learners’ perceptions of distance education. Journal of Adult and Continuing Education, 30(1), 248–266. https://doi.org/10.1177/14779714231200422
8. Akgül, A. (2022). Müzik bölümlerinde lisans öğrenimi gören öğrencilerin sosyal ağlara dayalı öğrenme algılarının belirlenmesi. In Proceedings of Black Sea Summit 8th International social sciences congress (Book of Full Texts, p. 14). https://www.karadenizkongresi.org/_files/ugd/797a84_498b191c5c8c498d9690d012d8c60ac3.pdf#page=31

9. Ala, M., Day, I., Rasul, T., Nair, S., & Baker, M. (2022). Working adults’ networking and social activities in lifelong learning. Digital Transformation and Disruption of Higher Education, 195. https://doi.org/10.1017/9781108979146
10. Aldahdouh, T. Z., Nokelainen, P., & Korhonen, V. (2020). Technology and social media usage in higher education: The influence of individual innovativeness. Sage Open, 10(1), 2158244019899441. https://doi.org/10.1177/2158244019899441
11. Ali, I. (2019). Personality traits, individual innovativeness and satisfaction with life. Journal of Innovation & Knowledge, 4(1), 38–46. https://doi.org/10.1016/j.jik.2017.11.002
12. Al-Sharqi, L., & Hashim, K. (2016). University students’ perceptions of social media as a learning tool. The Journal of Social Media in Society, 5(1), 65–88. https://www.thejsms.org/index.php/JSMS/article/view/134
13. Arts, J. W., Frambach, R. T., & Bijmolt, T. H. (2011). Generalizations on consumer innovation adoption: A meta-analysis on drivers of intention and behavior. International Journal of Research in Marketing, 28(2), 134–144. https://doi.org/10.1016/j.ijresmar.2010.11.002
14. Bartels, J., & Reinders, M. J. (2011). Consumer innovativeness and its correlates: A propositional inventory for future research. Journal of Business Research, 64(6), 601–609. https://doi.org/10.1016/j.jbusres.2010.05.002
15. Bonsón, E., Escobar, T., & Ratkai, M. (2014). Testing the inter-relations of factors that may support continued use intention: The case of Facebook. Social Science Information, 53(3), 293–310. https://doi.org/10.1177/0539018414525874
16. Bubou, G. M., & Job, G. C. (2022). Individual innovativeness, self-efficacy and e-learning readiness of students of Yenagoa study centre, National Open University of Nigeria. Journal of Research in Innovative Teaching & Learning, 15(1), 2–22. https://doi.org/10.1108/JRIT-12-2019-0079
17. Büyüköztürk, Ş., Akgün, Ö. E., Demirel, F., Karadeniz, Ş., & Çakmak, E. K. (2018). Bilimsel araştırma yöntemleri (18.Baskı). Pegem Akademi.
18. Chong, A. Y. L. (2013). Predicting m-commerce adoption determinants: A neural network approach. Expert Systems with Applications, 40(2), 523–530. https://doi.org/10.1016/j.eswa.2012.07.068
19. Collins, R. A. (2021). Interdisciplinarity in adult and continuing education. The handbook of adult and continuing education (pp. 31–37). Routledge.
20. Dağlı, Y. (2018). The evaluation of the senescence perceptions and the lifelong learning needs of middle-aged and elderly individuals (Publication No. 504045) [Doctoral dissertation, Ankara University, Turkey]. Council of Higher Education Thesis Center (YÖK). https://tez.yok.gov.tr/
21. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
22. Dunbar, R. I. M. (2016). Do online social media cut through the constraints that limit the size of offline social networks? Royal Society Open Science, 3(1), 150292. https://doi.org/10.1098/rsos.150292
23. Escobar-Rodríguez, T., & Bartual-Sopena, L. (2015). Impact of cultural factors on attitude toward using ERP systems in public hospitals: La influencia de los factores culturales sobre la actitud hacia el uso de sistemas ERP en hospitales públicos. Revista de Contabilidad-Spanish Accounting Review, 18(2), 127–137. https://doi.org/10.1016/j.rcsar.2014.04.002
24. Figueras-Maz, M., Grandío, M. del M., & Mateus, J. C. (2021). Students’ perceptions on social media teaching tools in higher education settings. https://doi.org/10.15581/003.34.1.15-28
25. Fishbein, M., & Ajzen, I. (1977). Beliefs, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
26. Forquer, H. A., Christensen, J. L., & Tan, A. S. L. (2014). Predicting Continuance—Findings From a Longitudinal Study of Older Adults Using an eHealth Newsletter. Health Communication, 29(9), 937–946. https://doi.org/10.1080/10410236.2013.833580
27. Gardner, H. (1990). Art education and human development (Vol. 3). Getty Publications.
28. Gökbulut, B. (2021). Individual Innovativeness Levels of Teachers. Karaelmas Journal of Educational Sciences, 9(2), 204–214.
29. Greenhow, C. (2011a). Online social networks and learning. On the Horizon, 19(1), 4–12. https://doi.org/10.1108/10748121111107663
30. Haase, K. R., Cosco, T., Kervin, L., Riadi, I., & O’Connell, M. E. (2021). Older adults’ experiences with using technology for socialization during the COVID-19 pandemic: Cross-sectional survey study. JMIR aging, 4(2), e28010. https://doi:10.2196/28010
31. Hauk, N., Hüffmeier, J., & Krumm, S. (2018). Ready to be a silver surfer? A meta-analysis on the relationship between chronological age and technology acceptance. Computers in Human Behavior, 84, 304–319. https://doi.org/10.1016/j.chb.2018.01.020
32. Hee-Young, C. H. O., Hoe-Chang, Y., & Hwang, B. J. (2023). The effect of ChatGPT factors & innovativeness on switching intention: Using theory of reasoned action (TRA). Journal of Distribution Science, 21(8), 83–96. https://doi.org/10.15722/jds.21.08.202308.83
33. Hill, L. H., Rogers-Shaw, C. A., & Carr-Chellman, D. J. (2023). But, is it adult education? Disciplinary Boundaries of Adult Education and Higher Education. Adult Learning, 34(2), 59–67. https://doi.org/10.1177/10451595231159430
34. Huang, Y.-M., Wang, D.-C., Lin, G.-H., & Huang, Y.-M. (2025). Unpacking the determinants of social media-based lifelong learning from the need hierarchy theory. Behaviour & Information Technology, 44(3), 477–490. https://doi.org/10.1080/0144929X.2024.2324056
35. Hurt, H. T., Joseph, K., & Cook, C. D. (1977). Scales for the measurement of innovativeness. Human Communication Research, 4(1), 58–65. https://doi.org/10.1111/j.1468-2958.1977.tb00597.x
36. Im, S., Bayus, B. L., & Mason, C. H. (2003). An empirical study of innate consumer innovativeness, personal characteristics, and new-product adoption behavior. Journal of the Academy of Marketing Science, 31(1), 61–73. https://doi.org/10.1177/0092070302238602
37. İnceoğlu, M. (2000). Tutum, algı ve iletişim (3. Baskı). İmaj Yayınevi.
38. Kadakia, M., Malkhed, V., Sandhya, A., Rani, P. D., & Loya, S. (2024). From selfies to scholarly insights: The educational potential of youth engagement on social media. International Research Journal on Advanced Engineering and Management (IRJAEM), 2, 228-236. https://doi.org/10.47392/IRJAEM.2024.0036
39. Kayasandık, A. E. (2017). Öğretmenlerin Bireysel Yenilikçilik Ve Değişime Hazır Olmalarının Algılanan Örgütsel Destek İle İlişkisi: Samsun’da Bir Çalışma. The Journal of Academic Social Science, 54(54), 511–527. https://doi.org/10.16992/ASOS.12792
40. Kert, S. B., & Tekdal, M. (2012). Comparison of individual innovativeness perception of students attending different education faculties. Gaziantep University-Journal of Social Sciences, 11(4), 1150–1161.
41. Kılıç, H. (2015). Primary subject teachers’ individual innovativeness levels and lifelong learning tendencies (within Denizli province) (Publication No. 384164) [Master’s thesis, Pamukkale University, Turkey]. Council of Higher Education Thesis Center (YÖK). https://tez.yok.gov.tr/
42. Kılıçer, K. (2011). Individual innovativeness profiles of prospective teachers in computer education and instructional technology (Publication No. 286820) [Doctoral dissertation, Anadolu University, Turkey]. Council of Higher Education Thesis Center (YÖK). https://tez.yok.gov.tr/
43. Kılıçer, K., & Odabaşı, H. F. (2010). Bireysel yenilikçilik ölçeği (BYÖ): Türkçeye uyarlama, geçerlik ve güvenirlik çalışması. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 38(38), 150–164.
44. Kukulska-Hulme, A., & Shield, L. (2008). An overview of mobile assisted language learning: From content delivery to supported collaboration and interaction. ReCALL, 20(3), 271–289.
45. Kumar, V., & Nanda, P. (2024). Social Media as a Learning Tool: A Perspective on Formal and Informal Learning. International Journal of Educational Reform, 33(2), 157–182. https://doi.org/10.1177/10567879221094303
46. LaRose, R., Mastro, D., & Eastin, M. S. (2001). Understanding Internet Usage: A Social-Cognitive Approach to Uses and Gratifications. Social Science Computer Review, 19(4), 395–413. https://doi.org/10.1177/089443930101900401
47. Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12(1), 50. https://doi.org/10.17705/1CAIS.01250
48. Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of influence on beliefs about information technology use: An empirical study of knowledge workers. MIS Quarterly, 657–678. https://doi.org/10.2307/30036552
49. Liao, H. L., & Liu, S. H. (2012). A Comparison Analysis on the Intention to Continued Use of a Lifelong Learning Website. International Journal of Electronic Business Management, 10(3).
50. Liao, H. L., Liu, S. H., Pi, S. M., & Chou, Y. J. (2011). Factors Affecting Lifelong Learners’ Intention to Continue Using E-Learning Website: An Empirical Study. In X. Luo, Y. Cao, B. Yang, J. Liu, & F. Ye (Eds.), New Horizons in Web-Based Learning—ICWL 2010 Workshops (Vol. 6537, pp. 112–119). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-20539-2_13
51. Liu, Y. (2010). Social media tools as a learning resource. Journal of Educational Technology Development and Exchange (JETDE), 3(1), 8. https://doi.org/10.18785/jetde.0301.08
52. Ma, Q., Chan, A. H. S., & Teh, P. L. (2021). Insights into Older Adults’ Technology Acceptance through Meta-Analysis. International Journal of Human–Computer Interaction, 37(11), 1049–1062. https://doi.org/10.1080/10447318.2020.1865005
53. Manbaki, D. (2023). Investigation of teachers’ individual innovativeness levels and lifelong learning tendencies (Publication No. 798922) [Master’s thesis, Bursa Uludağ University, Turkey]. Council of Higher Education Thesis Center (YÖK). https://tez.yok.gov.tr/
54. Manca, S., & Ranieri, M. (2016). “Yes for sharing, no for teaching!”: Social Media in academic practices. The Internet and Higher Education, 29, 63–74. https://doi.org/10.1016/j.iheduc.2015.12.004
55. Mazman, Y., & Usluel, Y. (2011). Gender differences in using social networks. Turkish Online Journal of Educational Technology, 10(2). https://doi.org/10.1016/j.jadohealth.2013.05.016
56. Micán, E. O. C., Sánchez, P. A. M., De los Reyes, A. I. V., Morales, M. J. C., & Bermudez, F. E. D. (2024). Design of a Strategy for the Use of Social Media as an Educational Tool in Secondary School. Ciencia Latina Revista Científica Multidisciplinar, 8(3), 5766–5784. https://doi.org/10.37811/cl_rcm.v8i3.11776
57. Mitzner, T. L., Savla, J., Boot, W. R., Sharit, J., Charness, N., Czaja, S. J., & Rogers, W. A. (2019). Technology adoption by older adults: Findings from the PRISM trial. The Gerontologist, 59(1), 34–44. https://doi.org/10.1093/geront/gny113
58. Moghavvemi, S., Sulaiman, A., Jaafar, N. I., & Kasem, N. (2018). Social media as a complementary learning tool for teaching and learning: The case of YouTube. The International Journal of Management Education, 16(1), 37–42. https://doi.org/10.1016/j.ijme.2017.12.001
59. Mohorjy, A., Al-Sharqi, L., Hashim, K., & Kutbi, I. (2015). Gender differences on perceptions of social media as a learning tool. West East Journal of Social Sciences, 4(1/2), 10.
60. Narasimhamurthy, N. (2014). Use and rise of social media as election campaign medium in India. International Journal of Interdisciplinary and Multidisciplinary Studies, 1(8), 202–209.
61. Nihalani, P. K., & Mayrath, M. C. (2010). Statistics I. Findings from using an iPhone app in a higher education course. White Paper.
62. Nørgård, R. T. (2021). Theorising hybrid lifelong learning. British Journal of Educational Technology, 52(4), 1709–1723. https://doi.org/10.1111/bjet.13121
63. Ocaña, M., Mejía, R., Larrea, C., Analuisa, C., & Freire, C. (2021). Informal Learning in Social Networks During the COVID-19 Pandemic: An Empirical Analysis. In M. Botto-Tobar, H. Cruz, & A. Díaz Cadena (Eds.), Artificial Intelligence, Computer and Software Engineering Advances (Vol. 1327, pp. 400–414). Springer International Publishing. https://doi.org/10.1007/978-3-030-68083-1_30
64. Orr, G. (2003). Diffusion of innovations, by Everett Rogers (1995) [Review of the book Diffusion of innovations, by E. M. Rogers]. Retrieved January 21, 2005, from https://www.stanford.edu/class/symbsys205/Diffusion%20of%20Innovations.htm
65. Osei, H. V., Kwateng, K. O., & Boateng, K. A. (2022). Integration of personality trait, motivation and UTAUT 2 to understand e-learning adoption in the era of COVID-19 pandemic. Education and Information Technologies, 27(8), 10705–10730. https://doi.org/10.1007/s10639-022-11047-y
66. Osgerby, J., & Rush, D. (2015). An exploratory case study examining undergraduate accounting students’ perceptions of using Twitter as a learning support tool. The International Journal of Management Education, 13(3), 337–348. https://doi.org/10.1016/j.ijme.2015.10.002
67. Özgür, H. (2013). Bilişim teknolojileri öğretmen adaylarının eleştirel düşünme eğilimleri ile bireysel yenilikçilik özellikleri arasındaki ilişkinin çeşitli değişkenler açısından incelenmesi. Mersin Üniversitesi Eğitim Fakültesi Dergisi, 9(2), 409–420. https://doi.org/10.17860/efd.33094
68. Öztürk, Z. Y., & Summak, M. (2014). İlköğretim okulu öğretmenlerinin bireysel yenilikçiliklerinin incelenmesi. International Journal of Sport Culture and Science, 2(Special Issue 1), 844–853. https://doi.org/10.14486/IJSCS158
69. Patterson, F., Kerrin, M., & Gatto-Roissard, G. (2009). Characteristics and behaviours of innovative people in organisations. Literature Review Prepared for the NESTA Policy & Research Unit, 163.
70. Pentiah, A. (2024). Using the health belief model as a theoretical framework to examine demographics associated with the accuracy of sexual risk perception across adulthood [Doctoral dissertation, Radford University]. http://wagner.radford.edu/id/eprint/1147
71. Rahmawati, R.N. (2019). Self-efficacy and use of e-learning: a theoretical review technology acceptance model (TAM). Am J Humanit Soc Sci Res. 3:41–55.
72. Rogers, E. M. (1995). Diffusion of innovations (4th ed.). The Free Press.
73. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). The Free Press.
74. Rogers, E. M. (2010). Diffusion of innovations. Simon & Schuster.
75. Ryan R.M., & Deci E.L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol 55(1):68–78. https://doi.org/10.1037/0003-066X.55.1.68
76. Sadowski, C., Pediaditis, M., & Townsend, R. (2017). University students’ perceptions of social networking sites (SNSs) in their educational experiences at a regional Australian University. Australasian Journal of Educational Technology, 33(5). https://doi.org/10.14742/ajet.2927
77. Saparudin, M., Wulan, M., Akbari, D. A., & Kania, A. (2024). Does the lecturers’ innovativeness drive online-learning adoption in higher education? A study based on extended TAM. Jurnal Sisfokom (Sistem Informasi Dan Komputer), 13(2), 280–287. https://doi.org/10.32736/sisfokom.v13i2.2122
78. Siemens, G., & Weller, M. (2011). Higher education and the promises and perils of social networks. Rev. U. Soc. Conocimiento, 8, 164.
79. Simarmata, M. T., & Hia, I. J. (2020). The role of personal innovativeness on behavioral intention of Information Technology. Journal of Economic and Business, 1(2), 18–29. https://doi.org/10.36655/jeb.v1i2.169
80. Sitar-Taut, D.-A., & Mican, D. (2021). Mobile learning acceptance and use in higher education during social distancing circumstances: An expansion and customization of UTAUT2. Online Information Review, 45(5), 1000–1019. https://doi.org/10.1108/OIR-01-2021-0017
81. Strzelecki, A. (2024). To use or not to use ChatGPT in higher education? A study of students’ acceptance and use of technology. Interactive Learning Environments, 32(9), 5142–5155. https://doi.org/10.1080/10494820.2023.2209881
82. Tabachnick, B. G., & Fidell, L. S. (2015). Çok değişkenli istatistiklerin kullanımı. Nobel Yayınevi.
83. Timung, B., Bordoloi, K., & Das, A. M. (2024). The influence of social media on learning behaviors: A social science perspective. Deleted Journal, 1(6), 379–391. https://doi.org/10.62583/rjzw8r96
84. Trang, N. T. Q. (2023). The role of social media in academic motivation and engagement: A case study of undergraduate students in Vietnam. International Journal of Social Science and Education Research Studies, 3(7), 1423–1434. https://doi.org/10.55677/ijssers/V03I7Y2023-32
85. Tsai, H.-Y. S., Rikard, R. V., Cotten, S. R., & Shillair, R. (2019). Senior technology exploration, learning, and acceptance (STELA) model: From exploration to use – a longitudinal randomized controlled trial. Educational Gerontology, 45(12), 728–743. https://doi.org/10.1080/03601277.2019.1690802
86. Türkiye İstatik Kurumu (TÜİK). (2024). Hanehalkı Bilişim Teknolojileri (BT) Kullanım Araştırması https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2024-53492
87. Twum, K. K., Ofori, D., Keney, G., & Korang-Yeboah, B. (2022). Using the UTAUT, personal innovativeness and perceived financial cost to examine student’s intention to use E-learning. Journal of Science and Technology Policy Management, 13(3), 713–737. https://doi.org/10.1108/JSTPM-12-2020-0168
88. Tyrväinen, O., Pirkkalainen, H., Salo, M., & Karjaluoto, H. (2025). Overloaded yet addicted? A meta-analysis of the outcomes of social media overload. Telematics and Informatics, 98, 102247. https://doi.org/10.1016/j.tele.2025.102247
89. Uras, M. (2000). Lise öğretmenlerinin örgüt sağlığının moral, yenilikçilik, özerklik, uyum ve problem çözme yeterliği boyutlarına ilişkin algıları. Pamukkale Üniversitesi Eğitim Fakültesi Dergisi, 7(7), 124–131.
90. Üstün, F. (2023). Examining the relationship between individual innovation and digital citizenship (Publication No. 813747) [Master’s thesis, Bursa Uludağ University, Turkey]. Council of Higher Education Thesis Center (YÖK). https://tez.yok.gov.tr/
91. Vogels, E. A. (2019, September 9). Millennials stand out for their technology use, but older generations also embrace digital life. Pew Research Center. https://www.pewresearch.org/fact-tank/2019/09/09/us-generations-technology-use/
92. Wildenbos, G. A., Peute, L., & Jaspers, M. (2018). Aging barriers influencing mobile health usability for older adults: a literature based framework (MOLD-US). International journal of medical informatics, 114, 66-75. https://doi.org/10.1016/j.ijmedinf.2018.03.012
93. Yenen, E. T. (2020). Öğretmen adaylarının sosyal ağlara dayalı öğrenme algılarının incelenmesi. Araştırma ve Deneyim Dergisi, 5(1), 1–9.
94. Yıldırım, Y. (2021). The relationship between lifelong learning levels and individual innovation levels of secondary school teachers (Publication No. 699152) [Master’s thesis, Istanbul Sabahattin Zaim University, Turkey]. Council of Higher Education Thesis Center (YÖK). https://tez.yok.gov.tr/
95. Yılmaz, N. (2013). An investigation of preservice early childhood teachers’ levels of individual innovativeness and perceived attributes of instructional computer use (Publication No. 347250) [Master’s thesis, Middle East Technical University (Turkey)]. Yükseköğretim Kurulu Ulusal Tez Merkezi. https://tez.yok.gov.tr/
96. Yokuş, G., & Yelken, T. Y. (2019). Sosyal ağlara dayalı öğrenme algısı (sad) ölçeğinin geliştirilmesi: Geçerlik ve güvenirlik çalışması. Mersin Üniversitesi Eğitim Fakültesi Dergisi, 15(1), 147–164. https://doi.org/10.17860/mersinefd.474226
97. Zhang, S., & Boot, W. R. (2023). Predicting older adults’ continued computer use after initial adoption. Innovation in Aging, 7(4), igad029. https://doi.org/10.1093/geroni/igad029
98. Zhou, Q., Lee, C. S., Sin, S. C. J., Lin, S., Hu, H., & Fahmi Firdaus Bin Ismail, M. (2020). Understanding the use of YouTube as a learning resource: A social cognitive perspective. Aslib Journal of Information Management, 72(3), 339–359. https://doi.org/10.1108/AJIM-10-2019-0290
99. Zwain, A. A. A. (2019). Technological innovativeness and information quality as neoteric predictors of users’ acceptance of learning management system: An expansion of UTAUT2. Interactive Technology and Smart Education, 16(3), 239–254. https://doi.org/10.1108/ITSE-09-2018-0065