Araştırma Makalesi
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Determınatıon of Crıtıcal Factors Affectıng The Success of Engıneerıng Students by Structural Equatıon Modelıng

Yıl 2024, Sayı: 10, 35 - 49
https://doi.org/10.52693/jsas.1505517

Öz

Given the challenges engineering programs face in producing graduates who meet the demands of today's global workforce, this research investigated the critical factors influencing student success. The study utilized a survey methodology, collecting data from 500 engineering students at Bursa Technical University, and employed Structural Equation Modeling (SEM) for analysis. The impact of experiential learning, academic self-efficacy, cultural intelligence, and perceived employability on student success was examined. The results indicated that all four factors are positively associated with student success, with experiential learning demonstrating a particularly strong influence on the other three factors. These findings highlight the importance of engineering programs providing students with experiential learning opportunities to enhance their self-efficacy, cultural intelligence, and ultimately, their employability. Integrating these factors into educational curricula can better prepare graduates to compete in the global workforce.

Kaynakça

  • [1] Y. SARIER, “Türkiye’de Öğrencilerin Akademik Başarısını Etkileyen Faktörler: Bir Meta-Analiz Çalışması,” Hacettepe Üniversitesi - Eğitim Fakültesi Dergisi, 2016.
  • [2] R. E. Keller, E. Johnson, and S. DeShong, “A structural equation model looking at student’s participatory behavior and their success in Calculus I,” Int J STEM Educ, vol. 4, no. 1, pp. 1–11, Dec. 2017, doi: 10.1186/S40594-017-0093-0/TABLES/4.
  • [3] X. Wang, M. Dai, and R. Mathis, “The influences of student- and school-level factors on engineering undergraduate student success outcomes: A multi-level multi-school study,” Int J STEM Educ, vol. 9, no. 1, pp. 1–13, Dec. 2022, doi: 10.1186/S40594-022-00338-Y/TABLES/2.
  • [4] A. R. Carberry and D. R. Baker, “The Impact of Culture on Engineering and Engineering Education,” pp. 217–239, 2018, doi: 10.1007/978-3-319-66659-4_10.
  • [5] R. Y. Chan, “Understanding The Purpose Of Higher Education: An Analysis Of The Economic And Social Benefits For Completing A College Degree,” 2016.
  • [6] M. Sarstedt, C. M. Ringle, and J. F. Hair, “Partial Least Squares Structural Equation Modeling,” Handbook of Market Research, pp. 1–40, 2017, doi: 10.1007/978-3-319-05542-8_15-1.
  • [7] A. C. Campos, J. Da, C. Mendes, J. A. Silva, and P. Oom Do Valle, “Critical success factors for a total quality culture: A structural model,” Tourism & Management Studies, vol. 10, no. 1, pp. 7–15, 2014, Accessed: Aug. 06, 2024. [Online]. Available: https://tmstudies.net/index.php/ectms/article/view/641
  • [8] A. Rothwell and J. Arnold, “Self-perceived employability: Development and validation of a scale,” Personnel Review, vol. 36, no. 1, pp. 23–41, 2007, doi: 10.1108/00483480710716704.
  • [9] E. Alyahyan and D. Düştegör, “Predicting academic success in higher education: literature review and best practices,” International Journal of Educational Technology in Higher Education, vol. 17, no. 1, pp. 1–21, Dec. 2020, doi: 10.1186/S41239-020-0177-7/TABLES/15.
  • [10] T. T. York, C. Gibson, and S. Rankin, “Defining and Measuring Academic Success. Practical Assessment, Research & Evaluation, 20(5).,” vol. 20, no. 5, 2015.
  • [11] M. Coetzee and N. Harry, “Emotional intelligence as a predictor of employees’ career adaptability,” J Vocat Behav, vol. 84, no. 1, pp. 90–97, Feb. 2014, doi: 10.1016/J.JVB.2013.09.001.
  • [12] M. Coetzee and D. Schreuder, “The relation between career anchors, emotional intelligence and employability satisfaction among workers in the service industry,” 76 Southern African Business Review, vol. 15, p. 2011.
  • [13] J. L. Brown, S. J. Hammer, H. N. Perera, and P. McIlveen, “Relations between graduates’ learning experiences and employment outcomes: a cautionary note for institutional performance indicators,” Int J Educ Vocat Guid, vol. 22, no. 1, pp. 137–156, Apr. 2022, doi: 10.1007/s10775-021-09477-0.
  • [14] T. Papadopoulos and C. Armatas, “Evaluation Of An Ict Skills Program: Enhancing Graduate Capabilities And Employability,” International Journal of Electronic Commerce Studies, vol. 4, no. 1, pp. 93–102, Jul. 2013, doi: 10.7903/IJECS.1115.
  • [15] A. L. Miller, K. T. Fassett, and D. L. Palmer, “Achievement goal orientation: A predictor of student engagement in higher education,” Motiv Emot, vol. 45, no. 3, pp. 327–344, Jun. 2021, doi: 10.1007/S11031-021-09881-7/TABLES/10.
  • [16] S. Clark, “Employability and the fine art student,” CEBE Transactions, vol. 9, no. 2, pp. 7–29, 2012, doi: 10.11120/TRAN.2012.09020007.
  • [17] M. Menz, “Integrating academic skills and employability - revisiting the learning journal,” Journal of Perspectives in Applied Academic Practice, vol. 8, no. 1, pp. 115–120, Sep. 2020, doi: 10.14297/JPAAP.V8I1.393.
  • [18] K. S. Amant, “Expanding Internships to Enhance Academic-Industry Relations: A Perspective in Stakeholder Education,” http://dx.doi.org/10.2190/MBJF-PW01-EJ9D-5QT0, vol. 33, no. 3, pp. 231–241, Jul. 2003, doi: 10.2190/MBJF-PW01-EJ9D-5QT0.
  • [19] M. A. Andreu Andrés and M. García Casas, “Perceptions of gaming as experiential learning by engineering students,” International Journal of Engineering Education, vol. 27, no. 4, pp. 795–804, 2011, Accessed: Aug. 07, 2024. [Online]. Available: https://riunet.upv.es/handle/10251/57102
  • [20] R. Arslan and S. Di Bono, “A Comparative Study: Challenges and Opportunities for European Union Dual Vocational Training Systems,” 2013. [Online]. Available: https://www.researchgate.net/publication/283796181
  • [21] B. M. Bass, B. J. Avolio, D. I. Jung, and Y. Berson, “Predicting unit performance by assessing transformational and transactional leadership,” J Appl Psychol, vol. 88, no. 2, pp. 207–218, Apr. 2003, doi: 10.1037/0021-9010.88.2.207.
  • [22] J.-M. J. Booth, “Experiential Learning Through Simulation And Prototyping In First Year Engineering Design,” 2014.
  • [23] V. A. Segarra and W. A. Gentry, “Taking ownership of your career: professional development through experiential learning,” BMC Proc, vol. 15, no. 2, pp. 1–7, Jun. 2021, doi: 10.1186/S12919-021-00211-W/TABLES/2.
  • [24] A. Barnett, “Self-Efficacy,” Encyclopedia of Quality of Life and Well-Being Research, pp. 6235–6238, 2023, doi: 10.1007/978-3-031-17299-1_2631.
  • [25] A. A. Adediwura, “Effect of peer and self-assessment on male and female students’ self-efficacy and self-autonomy in the learning of mathematics,” Gender and Behaviour, vol. 10, no. 1, pp. 4492–4508, 2012.
  • [26] T. Honicke, J. Broadbent, and M. Fuller-Tyszkiewicz, “The self-efficacy and academic performance reciprocal relationship: the influence of task difficulty and baseline achievement on learner trajectory,” Higher Education Research and Development, vol. 42, no. 8, pp. 1936–1953, 2023, doi: 10.1080/07294360.2023.2197194.
  • [27] B. Hunter, G. P. White, and G. C. Godbey, “What Does It Mean to Be Globally Competent?,” http://dx.doi.org/10.1177/1028315306286930, vol. 10, no. 3, pp. 267–285, Sep. 2006, doi: 10.1177/1028315306286930.
  • [28] G. L. Downey et al., “The Globally Competent Engineer: Working Effectively with People Who Define Problems Differently,” Journal of Engineering Education, vol. 95, no. 2, pp. 107–122, Apr. 2006, doi: 10.1002/J.2168-9830.2006.TB00883.X.
  • [29] C. Del Vitto, “Cross-Cultural ‘Soft Skills’ and the Global Engineer: Corporate Best Practices and Trainer Methodologies Cross-Cultural ‘Soft Skills’ and the Global Engineer: Corporate ‘Best Practices’ and Trainer Methodologies,” 2008, Accessed: Aug. 07, 2024. [Online]. Available: http://digitalcommons.uri.edu/ojgeehttp://digitalcommons.uri.edu/ojgee/vol3/iss1/1http://digitalcommons.uri.edu/ojgee/vol3/iss1/1http://digitalcommons.uri.edu/ojgee
  • [30] R. J. Sternberg, “A triarchic view of intelligence in cross-cultural perspective,” Human Abilities in Cultural Context, pp. 60–85, Feb. 2010, doi: 10.1017/CBO9780511574603.003.
  • [31] Q. Huang and A. C. K. Cheung, “More is not Always Better: The Curvilinear Relationship Between Intercultural Learning and Adolescents’ Global Competence,” Appl Res Qual Life, vol. 19, no. 2, pp. 835–857, Apr. 2024, doi: 10.1007/s11482-023-10268-8.
  • [32] A. Rothwell and J. Arnold, “Self-perceived employability: Development and validation of a scale,” Personnel Review, vol. 36, no. 1, pp. 23–41, 2007, doi: 10.1108/00483480710716704.
  • [33] M. M. Arshida, T. Abdul, J. Abdullah, and S. Agil, “Critical Success Factors For Total Quality Management Implementation Within The Libyan Iron And Steel Company,” 2013.
  • [34] M. Zuhdi Ibrahim, M. Nizam Ab Rahman, and R. M. Yasin, “Determining Factors of Students’ Satisfaction with Malaysian Skills Training Institutes,” International Education Studies, vol. 7, no. 6, 2014, doi: 10.5539/ies.v7n6p9.
  • [35] J. Henseler, C. M. Ringle, and R. R. Sinkovics, “The use of partial least squares path modeling in international marketing,” Advances in International Marketing, vol. 20, pp. 277–319, 2009, doi: 10.1108/S1474-7979(2009)0000020014/FULL/XML.
  • [36] H. K. Alay, A. Keskin, M. T. Deveciyan, G. Şen, D. Kayalıdereden, and Ş. Berber, "The impact of green business ethics and green financing on sustainable business performance of industries in Türkiye: The mediating role of corporate social responsibility," Sustainability, vol. 16, no. 17, p. 7868, 2024, doi: 10.3390/su16177868.
  • [37] C. Fornell and D. F. Larcker, “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error,” Journal of Marketing Research, vol. 18, no. 1, p. 39, Feb. 1981, doi: 10.2307/3151312.
  • [38] J. F. Hair, G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, and S. Ray, “Evaluation of Reflective Measurement Models,” pp. 75–90, 2021, doi: 10.1007/978-3-030-80519-7_4.
  • [39] J. F. Hair, C. M. Ringle, and M. Sarstedt, “Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance,” Long Range Plann, vol. 46, no. 1–2, pp. 1–12, 2013, doi: 10.1016/J.LRP.2013.01.001.
  • [40] J. Cohen, “Statistical Power Analysis for the Behavioral Sciences,” Statistical Power Analysis for the Behavioral Sciences, May 2013, doi: 10.4324/9780203771587.

Mühendislik Öğrencilerinin Başarılarını Etkileyen Kritik Faktörlerin Yapısal Eşitlik Modellemesi ile Belirlenmesi

Yıl 2024, Sayı: 10, 35 - 49
https://doi.org/10.52693/jsas.1505517

Öz

Mühendislik programlarının, günümüz küresel işgücü piyasasının taleplerini karşılayacak mezunlar yetiştirmedeki zorlukları göz önüne alındığında, bu araştırma, öğrenci başarısını etkileyen kritik faktörleri incelemiştir. Çalışma, Bursa Teknik Üniversitesi'nden 500 mühendislik öğrencisinin katılımıyla anket verilerini toplamış ve Yapısal Eşitlik Modellemesi (YEM) kullanarak analiz etmiştir. Deneyimsel öğrenme, akademik öz-yeterlik, kültürel zekâ ve algılanan istihdam edilebilirliğin, öğrenci başarısı üzerindeki etkisi incelenmiştir. Sonuçlar, bu dört faktörün tümünün öğrenci başarısıyla pozitif bir şekilde ilişkili olduğunu göstermiştir. Deneyimsel öğrenmenin, diğer üç faktör üzerinde özellikle güçlü bir etkisi olduğu bulunmuştur. Bu bulgular, mühendislik programlarının öğrencilere deneyimsel öğrenme fırsatları sunmasının, öz-yeterliklerini ve kültürel zekâlarını geliştirmenin ve istihdam edilebilirliklerini artırmanın önemini vurgulamaktadır. Bu faktörleri eğitim müfredatlarına entegre etmek, mezunların küresel işgücü piyasasında rekabet edebilirliğini artırabilir.

Kaynakça

  • [1] Y. SARIER, “Türkiye’de Öğrencilerin Akademik Başarısını Etkileyen Faktörler: Bir Meta-Analiz Çalışması,” Hacettepe Üniversitesi - Eğitim Fakültesi Dergisi, 2016.
  • [2] R. E. Keller, E. Johnson, and S. DeShong, “A structural equation model looking at student’s participatory behavior and their success in Calculus I,” Int J STEM Educ, vol. 4, no. 1, pp. 1–11, Dec. 2017, doi: 10.1186/S40594-017-0093-0/TABLES/4.
  • [3] X. Wang, M. Dai, and R. Mathis, “The influences of student- and school-level factors on engineering undergraduate student success outcomes: A multi-level multi-school study,” Int J STEM Educ, vol. 9, no. 1, pp. 1–13, Dec. 2022, doi: 10.1186/S40594-022-00338-Y/TABLES/2.
  • [4] A. R. Carberry and D. R. Baker, “The Impact of Culture on Engineering and Engineering Education,” pp. 217–239, 2018, doi: 10.1007/978-3-319-66659-4_10.
  • [5] R. Y. Chan, “Understanding The Purpose Of Higher Education: An Analysis Of The Economic And Social Benefits For Completing A College Degree,” 2016.
  • [6] M. Sarstedt, C. M. Ringle, and J. F. Hair, “Partial Least Squares Structural Equation Modeling,” Handbook of Market Research, pp. 1–40, 2017, doi: 10.1007/978-3-319-05542-8_15-1.
  • [7] A. C. Campos, J. Da, C. Mendes, J. A. Silva, and P. Oom Do Valle, “Critical success factors for a total quality culture: A structural model,” Tourism & Management Studies, vol. 10, no. 1, pp. 7–15, 2014, Accessed: Aug. 06, 2024. [Online]. Available: https://tmstudies.net/index.php/ectms/article/view/641
  • [8] A. Rothwell and J. Arnold, “Self-perceived employability: Development and validation of a scale,” Personnel Review, vol. 36, no. 1, pp. 23–41, 2007, doi: 10.1108/00483480710716704.
  • [9] E. Alyahyan and D. Düştegör, “Predicting academic success in higher education: literature review and best practices,” International Journal of Educational Technology in Higher Education, vol. 17, no. 1, pp. 1–21, Dec. 2020, doi: 10.1186/S41239-020-0177-7/TABLES/15.
  • [10] T. T. York, C. Gibson, and S. Rankin, “Defining and Measuring Academic Success. Practical Assessment, Research & Evaluation, 20(5).,” vol. 20, no. 5, 2015.
  • [11] M. Coetzee and N. Harry, “Emotional intelligence as a predictor of employees’ career adaptability,” J Vocat Behav, vol. 84, no. 1, pp. 90–97, Feb. 2014, doi: 10.1016/J.JVB.2013.09.001.
  • [12] M. Coetzee and D. Schreuder, “The relation between career anchors, emotional intelligence and employability satisfaction among workers in the service industry,” 76 Southern African Business Review, vol. 15, p. 2011.
  • [13] J. L. Brown, S. J. Hammer, H. N. Perera, and P. McIlveen, “Relations between graduates’ learning experiences and employment outcomes: a cautionary note for institutional performance indicators,” Int J Educ Vocat Guid, vol. 22, no. 1, pp. 137–156, Apr. 2022, doi: 10.1007/s10775-021-09477-0.
  • [14] T. Papadopoulos and C. Armatas, “Evaluation Of An Ict Skills Program: Enhancing Graduate Capabilities And Employability,” International Journal of Electronic Commerce Studies, vol. 4, no. 1, pp. 93–102, Jul. 2013, doi: 10.7903/IJECS.1115.
  • [15] A. L. Miller, K. T. Fassett, and D. L. Palmer, “Achievement goal orientation: A predictor of student engagement in higher education,” Motiv Emot, vol. 45, no. 3, pp. 327–344, Jun. 2021, doi: 10.1007/S11031-021-09881-7/TABLES/10.
  • [16] S. Clark, “Employability and the fine art student,” CEBE Transactions, vol. 9, no. 2, pp. 7–29, 2012, doi: 10.11120/TRAN.2012.09020007.
  • [17] M. Menz, “Integrating academic skills and employability - revisiting the learning journal,” Journal of Perspectives in Applied Academic Practice, vol. 8, no. 1, pp. 115–120, Sep. 2020, doi: 10.14297/JPAAP.V8I1.393.
  • [18] K. S. Amant, “Expanding Internships to Enhance Academic-Industry Relations: A Perspective in Stakeholder Education,” http://dx.doi.org/10.2190/MBJF-PW01-EJ9D-5QT0, vol. 33, no. 3, pp. 231–241, Jul. 2003, doi: 10.2190/MBJF-PW01-EJ9D-5QT0.
  • [19] M. A. Andreu Andrés and M. García Casas, “Perceptions of gaming as experiential learning by engineering students,” International Journal of Engineering Education, vol. 27, no. 4, pp. 795–804, 2011, Accessed: Aug. 07, 2024. [Online]. Available: https://riunet.upv.es/handle/10251/57102
  • [20] R. Arslan and S. Di Bono, “A Comparative Study: Challenges and Opportunities for European Union Dual Vocational Training Systems,” 2013. [Online]. Available: https://www.researchgate.net/publication/283796181
  • [21] B. M. Bass, B. J. Avolio, D. I. Jung, and Y. Berson, “Predicting unit performance by assessing transformational and transactional leadership,” J Appl Psychol, vol. 88, no. 2, pp. 207–218, Apr. 2003, doi: 10.1037/0021-9010.88.2.207.
  • [22] J.-M. J. Booth, “Experiential Learning Through Simulation And Prototyping In First Year Engineering Design,” 2014.
  • [23] V. A. Segarra and W. A. Gentry, “Taking ownership of your career: professional development through experiential learning,” BMC Proc, vol. 15, no. 2, pp. 1–7, Jun. 2021, doi: 10.1186/S12919-021-00211-W/TABLES/2.
  • [24] A. Barnett, “Self-Efficacy,” Encyclopedia of Quality of Life and Well-Being Research, pp. 6235–6238, 2023, doi: 10.1007/978-3-031-17299-1_2631.
  • [25] A. A. Adediwura, “Effect of peer and self-assessment on male and female students’ self-efficacy and self-autonomy in the learning of mathematics,” Gender and Behaviour, vol. 10, no. 1, pp. 4492–4508, 2012.
  • [26] T. Honicke, J. Broadbent, and M. Fuller-Tyszkiewicz, “The self-efficacy and academic performance reciprocal relationship: the influence of task difficulty and baseline achievement on learner trajectory,” Higher Education Research and Development, vol. 42, no. 8, pp. 1936–1953, 2023, doi: 10.1080/07294360.2023.2197194.
  • [27] B. Hunter, G. P. White, and G. C. Godbey, “What Does It Mean to Be Globally Competent?,” http://dx.doi.org/10.1177/1028315306286930, vol. 10, no. 3, pp. 267–285, Sep. 2006, doi: 10.1177/1028315306286930.
  • [28] G. L. Downey et al., “The Globally Competent Engineer: Working Effectively with People Who Define Problems Differently,” Journal of Engineering Education, vol. 95, no. 2, pp. 107–122, Apr. 2006, doi: 10.1002/J.2168-9830.2006.TB00883.X.
  • [29] C. Del Vitto, “Cross-Cultural ‘Soft Skills’ and the Global Engineer: Corporate Best Practices and Trainer Methodologies Cross-Cultural ‘Soft Skills’ and the Global Engineer: Corporate ‘Best Practices’ and Trainer Methodologies,” 2008, Accessed: Aug. 07, 2024. [Online]. Available: http://digitalcommons.uri.edu/ojgeehttp://digitalcommons.uri.edu/ojgee/vol3/iss1/1http://digitalcommons.uri.edu/ojgee/vol3/iss1/1http://digitalcommons.uri.edu/ojgee
  • [30] R. J. Sternberg, “A triarchic view of intelligence in cross-cultural perspective,” Human Abilities in Cultural Context, pp. 60–85, Feb. 2010, doi: 10.1017/CBO9780511574603.003.
  • [31] Q. Huang and A. C. K. Cheung, “More is not Always Better: The Curvilinear Relationship Between Intercultural Learning and Adolescents’ Global Competence,” Appl Res Qual Life, vol. 19, no. 2, pp. 835–857, Apr. 2024, doi: 10.1007/s11482-023-10268-8.
  • [32] A. Rothwell and J. Arnold, “Self-perceived employability: Development and validation of a scale,” Personnel Review, vol. 36, no. 1, pp. 23–41, 2007, doi: 10.1108/00483480710716704.
  • [33] M. M. Arshida, T. Abdul, J. Abdullah, and S. Agil, “Critical Success Factors For Total Quality Management Implementation Within The Libyan Iron And Steel Company,” 2013.
  • [34] M. Zuhdi Ibrahim, M. Nizam Ab Rahman, and R. M. Yasin, “Determining Factors of Students’ Satisfaction with Malaysian Skills Training Institutes,” International Education Studies, vol. 7, no. 6, 2014, doi: 10.5539/ies.v7n6p9.
  • [35] J. Henseler, C. M. Ringle, and R. R. Sinkovics, “The use of partial least squares path modeling in international marketing,” Advances in International Marketing, vol. 20, pp. 277–319, 2009, doi: 10.1108/S1474-7979(2009)0000020014/FULL/XML.
  • [36] H. K. Alay, A. Keskin, M. T. Deveciyan, G. Şen, D. Kayalıdereden, and Ş. Berber, "The impact of green business ethics and green financing on sustainable business performance of industries in Türkiye: The mediating role of corporate social responsibility," Sustainability, vol. 16, no. 17, p. 7868, 2024, doi: 10.3390/su16177868.
  • [37] C. Fornell and D. F. Larcker, “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error,” Journal of Marketing Research, vol. 18, no. 1, p. 39, Feb. 1981, doi: 10.2307/3151312.
  • [38] J. F. Hair, G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, and S. Ray, “Evaluation of Reflective Measurement Models,” pp. 75–90, 2021, doi: 10.1007/978-3-030-80519-7_4.
  • [39] J. F. Hair, C. M. Ringle, and M. Sarstedt, “Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance,” Long Range Plann, vol. 46, no. 1–2, pp. 1–12, 2013, doi: 10.1016/J.LRP.2013.01.001.
  • [40] J. Cohen, “Statistical Power Analysis for the Behavioral Sciences,” Statistical Power Analysis for the Behavioral Sciences, May 2013, doi: 10.4324/9780203771587.
Toplam 40 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Endüstri Mühendisliği
Bölüm Araştırma Makaleleri
Yazarlar

Delal Demir 0009-0006-9922-2325

Hasan Şahin 0000-0002-8915-000X

Erken Görünüm Tarihi 24 Aralık 2024
Yayımlanma Tarihi
Gönderilme Tarihi 27 Haziran 2024
Kabul Tarihi 14 Ağustos 2024
Yayımlandığı Sayı Yıl 2024 Sayı: 10

Kaynak Göster

IEEE D. Demir ve H. Şahin, “Mühendislik Öğrencilerinin Başarılarını Etkileyen Kritik Faktörlerin Yapısal Eşitlik Modellemesi ile Belirlenmesi”, JSAS, sy. 10, ss. 35–49, Aralık 2024, doi: 10.52693/jsas.1505517.