Fizyoterapi ve rehabilitasyon bölümü öğrencilerinin teknostres seviyeleri ile bilgi, medya ve teknoloji becerilerinin incelenmesi

Yıl 2025, Cilt: 12 Sayı: 3, 191 - 198, 30.12.2025

Mert Doğan , Ender Ayvat , Fatma Ayvat , Özge Onursal Kılınç , Gülşah Sütçü Uçmak , Muhammed Kılınç , Sibel Aksu Yıldırım

https://doi.org/10.15437/jetr.1819098

Öz

Amaç: Bu çalışma, Hacettepe Üniversitesi, Fizyoterapi ve Rehabilitasyon Bölümü öğrencilerinde teknostres düzeyleri ile bilgi, medya ve teknoloji becerilerini incelemek amacıyla yapıldı.
Yöntem: Tanımlayıcı ve kesitsel tasarıma sahip araştırmaya Hacettepe Üniversitesi Fizyoterapi ve Rehabilitasyon Bölümü’nde öğrenim gören 231 öğrenci (yaş=20.52±2.08 yıl) katıldı. Veriler çevrim içi anket formu ile toplanmış, teknostres düzeyi Üniversite Öğrencilerinin Teknoloji Destekli Öğrenme Ortamında Teknostres Düzeyleri Ölçeği ve dijital yeterlilik Bilgi, Medya ve Teknoloji Becerileri Yeterlilik Ölçeği kullanılarak değerlendirildi.
Bulgular: Katılımcıların %80.5’i kadın, %19.5’i erkektir. Ortalama teknostres puanı 32.1±10 ve dijital yeterlilik puanı 73.8±12.6 bulundu. Teknostres ile dijital yeterlilik arasında zayıf ve negatif yönde anlamlı ilişki saptandı (r=− 0.273, p<0.001). Alt boyut analizlerinde, problem çözme, dijital içerik geliştirme, bilgi-veri okuryazarlığı, güvenlik ve iletişim-iş birliği becerileri ile teknostres arasında benzer biçimde zayıf düzeyde negatif ilişkiler gözlendi.
Sonuç: Fizyoterapi öğrencilerinin dijital yeterlilik düzeyi arttıkça teknostres düzeyi azalmaktadır. Dijital yeterliliği artırmaya yönelik eğitim müdahalelerinin, öğrencilerin teknoloji destekli öğrenme ortamlarına uyumunu kolaylaştırarak teknostresi azaltabileceği düşünülmektedir.

Anahtar Kelimeler

Dijital teknoloji , Profesyonel yetkinlik , Fizyolojik stres , Fizyoterapist.

Etik Beyan

Hacettepe Üniversitesi Girişimsel Olmayan Klinik Araştırmalar Etik Kurulu onayı alındı (Etik Kurul Onay Numarası: GO 22/1248. Etik Kurul Onay Tarihi: 13.12.2022).

Destekleyen Kurum

Bulunmamaktadır.

Teşekkür

Yok.

Investigation of technostress levels, information, media, and technology skills among physiotherapy and rehabilitation students

Öz

Purpose: This study aimed to examine the relationship between technostress levels and information, media, and technology (IMT) skills among students of the Department of Physiotherapy and Rehabilitation at Hacettepe University.
Methods: A descriptive and cross-sectional design was employed. The study included 231 students (mean age=20.5±2.1 years) enrolled in the Department of Physiotherapy and Rehabilitation. Data were collected online using self-administered questionnaires. Technostress levels were assessed with the Technostress Scale for Technology-Enhanced Learning Environments, and digital competence was evaluated using the Information, Media, and Technology Skills Competency Scale.
Results: Of the participants, 80.5% were female and 19.5% were male. The mean technostress score was 32.1±10, and the mean IMT skills score was 73.8±12.6. A weak negative correlation was found between technostress and IMT skills (r=− 0.273, p<0.001). Subscale analyses revealed similarly weak negative relationships between technostress and problem-solving, digital content creation, information and data literacy, security, and communication-collaboration skills.
Conclusion: Higher digital competence levels were associated with lower technostress among physiotherapy students. Implementing educational interventions that enhance digital skills may reduce technostress and facilitate students’ adaptation to technology-enhanced learning environments.

Anahtar Kelimeler

Digital technology , Professional competence , Physiological stress , Physiotherapist

Etik Beyan

Approval was obtained from the Hacettepe University Non-Interventional Clinical Research Ethics Committee (Ethics Committee Approval Number: GO 22/1248. Ethics Committee Approval Date: 13.12.2022).

Destekleyen Kurum

None.

Teşekkür

None.

Kaynakça

• Cham K, Edwards M-L, Kruesi L, et al. Digital preferences and perceptions of students in health professional courses at a leading Australian university: A baseline for improving digital skills and competencies in health graduates. Australas J Educ Technol. 2022;38:69-86.
• Mcgregor D, Keep M, Brunner M, et al. Preparing e-health ready graduates: a qualitative focus group study. In: Integrating and Connecting Care. Amsterdam: IOS Press; 2017:91-96.
• Tomé A, Coelho JL. Physiotherapy education in the digital era: A roadmap of educational technologies for allied health educators. In: Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines. Hershey, PA: IGI Global; 2023:26- 54. Tarafdar M, Tu Q, Ragu-Nathan BS, et al. The impact of technostress on role stress and productivity. J Manag Inform Syst. 2007;24:301- 328.
• Amelia Avila-Sánchez G, Nina-Cuchillo J, Revilla-Arce J, et al. Digital competencies and techno-stress in teachers at a Public University in Ancash, Peru. J High Educ Theory Pract. 2024;24:65-76.
• Niu L, Wang X, Wallace MP, et al. Digital learning of English as a foreign language among university students: How are approaches to learning linked to digital competence and technostress? J Comput Assist Learn. 2022;38:1332-1346.
• Bali C, Feher Z, Arato N, et al. The mediating role of ICT learning confidence and technostress between executive functions and digital skills. Sci Rep. 2024;14:12343.
• Golz C, Peter KA, Müller TJ, et al. Technostress and digital competence among health professionals in Swiss psychiatric hospitals: cross-sectional study. JMIR Ment Health. 2021;8:31408.
• Vásquez-Pajuelo L, Rodriguez-Barboza JR, Bartra-Rivero KR, et al. Assessing the relationship between digital competencies and technostress in higher education. J Ecohumanism. 2024;3:1119-1132.
• Vrabec N, Furtáková L. Ways of defining digital competences and their components in the EU, EC and UNESCO recommendations. Ann Univ Paedagog Crac Stud Cult. 2024;16:5-17.
• Feng X, Liu H. I feel blue—teacher, can you help me? A study on the effect of digital literacies on language learners’ technostress, on-line engagement, autonomy, and academic success. BMC Psychol. 2024;12:143.
• Baş M, Balaban F, Balcı S. Üniversite öğrencilerinin teknoloji destekli öğrenme ortamında teknostres düzeyleri ölçeğinin Türkçeye uyarlanması: Geçerlik-güvenirlik çalışması. EKEV Akad Derg. 2021;87:451-470.
• Wang X, Tan SC, Li L. Measuring university students’ technostress in technology-enhanced learning: Scale development and validation. Australas J Educ Technol. 2020;36:96-112.
• Hazar E. Information, media and technology skills competency scale: a validity and reliability study. J Hum Sci. 2018;15:1306-1316.
• Taylor JR. An introduction to error analysis: the study of uncertainties in physical measurements. Cambridge, MA: MIT Press; 2022. Yang B. Implications for educators on preparing students in healthcare programs for potential burnout and technostress in the healthcare field. 2020.
• Yoshinov R, Yoshinov B, Koleva I. Introduction of electronic learning in the educational module “physical prevention of consequences of the overuse of digital devices.” In: ICERI2023 Proceedings. Valencia: IATED; 2023.
• Seçer E, Özer Kaya D. Fizyoterapi ve rehabilitasyon öğrencilerinin teknostres düzeyleri, ilişkili faktörler ve sağlıkta yapay zekânın kullanımına yönelik farkındalıkları: kesitsel çalışma. Turk Klin J Health Sci. 2024;9:127-136.
• Contreras GU, Herrera-Lillo A. Análisis de evidencia sobre tecnoestrés, factores, trascendencia y estrategias de mitigación en estudiantes de salud. Rev Esp Educ Med. 2025;6.
• Al-Tammemi AaB, Nheili R, Jibuaku CH, et al. A qualitative exploration of university students’ perspectives on distance education in Jordan: An application of Moore’s theory of transactional distance. In: Frontiers in Education. Lausanne: Frontiers Media SA; 2022.
• Aydınlar A, Mavi A, Kütükçü E, et al. Awareness and level of digital literacy among students receiving health-based education. BMC Med Educ. 2024;24:38.
• Røe Y, Riis GC, Admiraal W. Unravelling the digital competence of students in physiotherapy education through the European digital competence framework. Eur J Physiother. 2024;26:365-371.
• Røe Y, Vik Torbjørnsen AC, Admiraal W. Educators’ digital competence in physiotherapy and health professions education: insights from qualitative interviews. Digit Health. 2024;10:20552076241297044.
• Engels MC, Spilt J, Denies K, et al. The role of affective teacher–student relationships in adolescents’ school engagement and achievement trajectories. Learn Instr. 2021;75:101485.
• Hatlevik OE, Throndsen I, Loi M, et al. Students’ ICT self-efficacy and computer and information literacy: determinants and relationships. Comput Educ. 2018;118:107-119.
• Jensen LX, Buhl A, Hussain S, et al. Digital education for health professionals in India: a scoping review of the research. BMC Med Educ. 2023;23:561.