Salamiah Sari Dewi
Fakultas Psikologi Universitas Medan Area

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Mindfulness, Self-Efficacy, and Technostress: Testing a Mediation Model Among Teachers Wirda Hanum Lubis; Salamiah Sari Dewi; Suryani Hardjo
PSIKOWIPA (Psikologi Wijaya Putra) Vol 7 No 1 (2026): PSIKOWIPA
Publisher : Fakultas Psikologi Universitas Wijaya Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38156/psikowipa.v7i1.539

Abstract

The rapid integration of digital technologies in education requires teachers to continuously adapt to various technological platforms and systems, which may increase psychological strain known as technostress. Drawing on positive psychology, mindfulness is considered a protective factor that may reduce technostress, while self-efficacy serves as an important psychological resource that supports adaptation to technological demands. This study aimed to examine the effect of mindfulness on technostress, the effect of mindfulness on self-efficacy, the effect of self-efficacy on technostress, and the mediating role of self-efficacy in the relationship between mindfulness and technostress among teachers. A quantitative approach was employed involving 145 teachers. Data were collected using standardized scales of mindfulness, technostress, and self-efficacy and analyzed using Structural Equation Modeling (SEM). The findings revealed that mindfulness significantly reduced technostress (p = .044, t = 2.019). Mindfulness also had a significant positive effect on self-efficacy (β = .492, p < .001, t = 7.809), while self-efficacy significantly predicted technostress (β = .454, p < .001, t = 6.558). Furthermore, self-efficacy significantly mediated the relationship between mindfulness and technostress (t = 5.031, p < .001). These findings suggest that enhancing mindfulness and self-efficacy may help teachers cope more effectively with technology-related stress. References Adedoyin, O. B., & Soykan, E. (2023). Covid-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 31(2), 863–875. https://doi.org/10.1080/10494820.2020.1813180 Andreou, S. (2019). Mitigating technostress in new knowledge workers through perceived self-efficacy. Badriyah, N., & Hapsari, M. T. B. (2024). The relationship between mindfulness and self-efficacy in Mahasantri memorizing Qur'an with peer support as a moderating variable. Journal An-Nafs: Kajian Penelitian Psikologi, 9(1), 52–67. https://doi.org/10.33367/psi.v9i1.5237 Baer, R. A., Smith, G. T., Hopkins, J., Krietemeyer, J., & Toney, L. (2006). Using self-report assessment methods to explore facets of mindfulness. Assessment, 13(1), 27–45. https://doi.org/10.1177/1073191105283504 Bandura, A. (1978). Self-efficacy: Toward a unifying theory of behavioral change. Advances in Behaviour Research and Therapy, 1(4), 139–161. https://doi.org/10.1016/0146-6402(78)90002-4 Brown, K. W., & Ryan, R. M. (2003). The benefits of being present: Mindfulness and its role in psychological well-being. Journal of Personality and Social Psychology, 84(4), 822–848. https://doi.org/10.1037/0022-3514.84.4.822 Cede, Ç. Ş., & Gözen, A. (2021). The relationship between mindfulness and self-efficacy. International Journal of Commerce and Finance, 7(2). Dogan, S., Dogan, N. A., & Celik, I. (2021). Teachers' skills to integrate technology in education: Two path models explaining instructional and application software use. Education and Information Technologies, 26, 131–1332. https://doi.org/10.1007/s10639-020-10310-4 Etuah, S., Adams, F., Osei Mensah, J., Liu, Z., & Lan, J. (2024). Editorial: Increasing resilience and adaptability to climate change of vulnerable groups in agriculture. Frontiers in Sustainable Food Systems, 8. https://doi.org/10.3389/fsufs.2024.1505567 Handayani, Y. S., & Sulastri, A. (2022). Teacher resilience facing technostress in the implementation of synchronous hybrid learning in elementary school. https://doi.org/10.2991/assehr.k.220203.027 Hidayat, O., & Fourianalistyawati, E. (2018). Peranan mindfulness terhadap stres akademis pada mahasiswa tahun pertama. Jurnal Psikogenesis, 5(1). https://doi.org/10.24854/jps.v5i1.494 Hidayatullah, A., & Saud, M. (2020). Digital learning from home and the future of post-pandemic education. Ioannou, A., Lycett, M., & Marshan, A. (2024). The role of mindfulness in mitigating the negative consequences of technostress. Information Systems Frontiers, 26(2), 523–549. https://doi.org/10.1007/s10796-021-10239-0 Kabat-Zinn, J. (2018). Meditation is not what you think: Mindfulness and why it is so important. Hachette Books. Khlaif, Z. (2018). Teachers' perceptions of factors affecting their adoption and acceptance of mobile technology in K–12 settings. Computers in the Schools, 35(1), 49–67. https://doi.org/10.1080/07380569.2018.1428001 Khlaif, Z. N., Khalili, F., Affouneh, S., & Tlili, A. (2023). How remote learning during crisis affects technostress levels experienced by academicians. Education and Information Technologies, 28(9), 1075–1100. https://doi.org/10.1007/s10639-023-11651-6 La Torre, G., De Leonardis, V., & Chiappetta, M. (2020). Technostress: How does it affect the productivity and life of an individual? Results of an observational study. Public Health, 189, 60–65. https://doi.org/10.1016/j.puhe.2020.09.013 Mudrikah, S., Kusmuriyanto, K., & Widodo, W. (n.d.). Pengaruh technostress dan computer self-efficacy terhadap technostress guru selama pembelajaran daring. Novianty, R., & Sedjo, P. (2023). Pengaruh technostress dan efikasi diri terhadap technostress guru SMA Negeri Kecamatan Tapos. Jurnal Ekonomi, Bisnis dan Manajemen, 2(3), 236–247. https://doi.org/10.58192/ebismen.v2i3.1285 Oktaria, D., & Bintang, M. (2018). Hubungan mindful attention awareness dan self-efficacy mahasiswa tahun pertama Fakultas Kedokteran Universitas Lampung. JK Unila, 2. Pozo-Rico, T., Gilar-Corbí, R., Izquierdo, A., & Castejón, J.-L. (2020). Teacher training can make a difference: Tools to overcome the impact of COVID-19 on primary schools. An experimental study. International Journal of Environmental Research and Public Health, 17(22), 8633. https://doi.org/10.3390/ijerph17228633 Putriani, S., & Apriani, R. (2022). Impacts of digital technostress and digital technology self-efficacy on intentions to use fintech in Indonesia. Jurnal Reviu Akuntansi dan Keuangan, 12(1), 210–227. https://doi.org/10.22219/jrak.v12i1.20801 Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4), 417–433. https://doi.org/10.1287/isre.1070.0165 Rahayu, R., Rosita, R., Rahayuningsih, Y. S., Hernawan, A. H., & Prihantini, P. (2022). Implementasi Kurikulum Merdeka Belajar di Sekolah Penggerak. Jurnal Basicedu, 6(4), 6313–6319. https://doi.org/10.31004/basicedu.v6i4.3237 Schellhammer, S., Haines, R., & Klein, S. (2013). Investigating technostress in situ: Understanding the day and the life of a knowledge worker using heart rate variability. Proceedings of the Annual Hawaii International Conference on System Sciences, 430–439. https://doi.org/10.1109/HICSS.2013.365 Sutcliffe, K. M., Vogus, T. J., & Dane, E. (2016). Mindfulness in organizations: A cross-level review. Annual Review of Organizational Psychology and Organizational Behavior, 3(1), 55–81. https://doi.org/10.1146/annurev-orgpsych-041015-062531 Tams, S., Thatcher, J. B., & Grover, V. (2018). Concentration, competence, confidence, and capture: An experimental study of age, interruption-based technostress, and task performance. Journal of the Association for Information Systems, 19, 857–908. https://doi.org/10.17705/1jais.00518 Tarafdar, M., Cooper, C. L., & Stich, J. (2019). The technostress trifecta—Techno-eustress, techno-distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6–42. https://doi.org/10.1111/isj.12169 Waskito, P., Loekmono, J. T. L., & Dwikurnaningsih, Y. (2018). Hubungan antara mindfulness dengan kepuasan hidup mahasiswa bimbingan dan konseling. Jurnal Kajian Bimbingan dan Konseling, 3(3), 99–107. https://doi.org/10.17977/um001v3i32018p099
Self-Compassion as a Protective Factor in the Relationship Between Fatherlessness and Emotional Intelligence Among Adolescents Eli Elprida Br Tarigan; Salamiah Sari Dewi; Siti Aisyah
PSIKOWIPA (Psikologi Wijaya Putra) Vol 7 No 1 (2026): PSIKOWIPA
Publisher : Fakultas Psikologi Universitas Wijaya Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38156/psikowipa.v7i1.540

Abstract

Fatherlessness has increasingly been recognized as a risk factor for adolescents' socio-emotional development. However, limited research has examined the psychological mechanisms that may buffer its adverse effects on emotional functioning. This study investigated the effect of fatherlessness on emotional intelligence, with self-compassion as a moderating variable among senior high school students. A quantitative explanatory design was employed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The population consisted of 1,131 students from SMA Negeri 1 Tanjung Morawa, with 118 participants selected through purposive sampling. Data were collected using the Fatherlessness Scale, the Self-Compassion Scale, and the Emotional Intelligence Scale. The results indicated that fatherlessness negatively predicted emotional intelligence (β = −0.621, p < .05) and self-compassion (β = −0.803, p < .05). Conversely, self-compassion positively predicted emotional intelligence (β = 0.256, p < .05). Furthermore, self-compassion significantly moderated the relationship between fatherlessness and emotional intelligence (β = 0.182, p < .05), attenuating the negative impact of fatherlessness. These findings suggest that self-compassion functions as an important psychological protective factor that promotes emotional adjustment among adolescents experiencing fatherlessness. The study highlights the potential value of self-compassion-based interventions to foster emotional well-being among vulnerable adolescents. References Bowlby, J. (2021). John Bowlby and early attachment. LEARNING THEORIES FOR EARLY YEARS, 74. El Zaatari, W., & Maalouf, I. (2022). How the Bronfenbrenner bio-ecological system theory explains the development of students’ sense of belonging to school? Sage Open, 12(4), 21582440221134090. Goleman, D. (2020a). What People ( Still ) Get Wrong About Emotional Intelligence What People ( Still ) Get Wrong About Emotional Intelligence. Goleman, D. (2020b). What people (still) get wrong about emotional intelligence. Harvard Business Review, 5(1), 2–4. Hair, J. F., Sarstedt, M., & Ringle, C. M. (2019). Rethinking some of the rethinking of partial least squares. European Journal of Marketing, 53(4), 566–584. https://doi.org/10.1108/EJM-10-2018-0665 Hanura, N., Hartati, S., & Wibowo, N. M. (2021). Analisis Pengaruh Fasilitas Kerja, Lingkungan Kerja, dan Disiplin Kerja Terhadap Semangat Kerja. Jurnal EMA (Jurnal Ekonomi Manajemen Akuntansi), 6(2), 54–63. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A New Criterion For Assessing Discriminant Validity in Variance-Based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8 James, S., McLanahan, S., & Brooks-Gunn, J. (2021). Contributions of The Fragile Families and Child Wellbeing Study to Child Development. Annual Review of Developmental Psychology, 3, 187–206. https://doi.org/10.1146/annurev-devpsych-050620- 113832 Mayer, J. D., Caruso, D. R., & Salovey, P. (2023). The ability model of emotional intelligence: Recent developments. Neff, K. D. (2023). Self-compassion: Theory, method, research, and intervention. Annual Review of Psychology, 74(1), 193–218. Susanti, R., & Ariyati, I. (2024). The Effect of Fatherless on Children Social Development. Journal of Gifted Studies, 1(1), 27–33.