EVALUASI FAKTOR PENENTU PENYELESAIAN PELATIHAN MANDIRI: KAJIAN KOMPARATIF ANTARTIGA TOPIK PELATIHAN
DOI:
https://doi.org/10.35446/diklatreview.v9i3.2464Keywords:
Self Directed learning, Learning Management System, Principal Component Analysis, Digital Divide; Self Determination Theory, Training CompletionAbstract
Technology-based self-directed training has become strategic in human resource competency development, yet varying completion rates necessitate in-depth evaluation of factors influencing participant success. This study aims to identify determining factors for successful completion of self-directed training through comparative analysis of three training topics: Body Language, Scientific Poster, and 3-Minute Presentation. Analysis was conducted on 186 participants using multivariate approaches including crosstabulation analysis, Chi-Square test, Principal Component Analysis (PCA), multivariate analysis, and Linear Discriminant Function Analysis. Demographic data showed female dominance (59.7%) and students (94.1%). Chi-Square analysis revealed no significant relationship between training topics and non-completion rates (p > 0.05). PCA identified two main dimensions: Techno pedagogical Infrastructure dominated by stable internet access (loading 0.837), technical skills (0.812), and familiarity with BRIN Learning Management System (BRILIANT) platform (0.790); and Personal Motivation and Suitability with career goal alignment as the strongest predictor (loading 0.863). Multivariate analysis confirmed that success determinants are consistent across all training topics (p > 0.05). Discriminant analysis showed that participants who successfully completed training had more stable internet access, stronger intrinsic motivation, and higher learning autonomy compared to those who did not complete. Self-directed training success is more determined by technological infrastructure, intrinsic motivation, and self-regulation capabilities rather than specific learning material characteristics. These findings support Self-Determination Theory and emphasize the importance of addressing digital divides and developing autonomous motivation to enhance self-directed learning effectiveness
References
Akintolu, M. and Letseka, M. (2021). The andragogical value of content knowledge method: the case of an adult education programme in kwa-zulu natal province of south africa. Heliyon, 7(9), e07929. https://doi.org/10.1016/j.heliyon.2021.e07929
Arfianti, K. and Azmi, K. R. (2021). Self regulated learning(SRL): skills in improving learning motivation. KONSELING: Jurnal Bimbingan dan Konseling (E-Journal), 8(2), 199-206. https://doi.org/10.24042/kons.v8i2.9958
Assefa, Y., Gebremeskel, M. M., Moges, B. T., Tilwani, S. A., & Azmera, Y. A. (2024). Rethinking the digital divide and associated educational in(equity) in higher education in the context of developing countries: the social justice perspective. The International Journal of Information and Learning Technology, 42(1), 15-32. https://doi.org/10.1108/ijilt-03-2024-0058
Chang, N. and Isa, Z. M. (2024). Exploring the influence of teacher self-efficacy on teaching quality in higher vocational education. Journal of Digitainability, Realism & Mastery (DREAM), 3(07), 16-27. https://doi.org/10.56982/dream.v3i07.246
Cherrstrom, C. A., Hyden, B., Boden, C. J., Singh, S., & Xie, L. (2024). Ed tech in adult online learning. International Journal of Adult Education and Technology, 15(1), 1-17. https://doi.org/10.4018/ijaet.355707
Ciki, K. D. and Tanrıverdi, H. (2023). Self-determination theory in the field of tourism. Tourism, 71(4), 769-781. https://doi.org/10.37741/t.71.4.8
Elesio, J. M. (2023). The influence of self-regulated learning strategies towards academic performance of college students. East Asian Journal of Multidisciplinary Research, 2(2), 823-838. https://doi.org/10.55927/eajmr.v2i2.3029
Muhid, A. (2019). Analisis Statistik 5 Langkah Praktis Analisis Statistik dengan SPSS for Windows (D. N. Hidayat, Ed.; 2nd ed.). Zivatama Jawara.
Nugroho, S. (2008). Metode Statistik Non Parametrik. UNIB Press.
Nurjanah, R. L., Hadi, M. Z. P., & Willems, J. (2024). Self-regulated learning strategy in the learning instructions of interpretive reading courses. Journal of Languages and Language Teaching, 12(2), 693. https://doi.org/10.33394/jollt.v12i2.9538
Putri, R. I. I., Araiku, J. & Sari, N. (2021). Statistik Deskriptif. Bening Media Publishing.
Rahman, F. J., & Kamaliah, N. (2023). Adaptasi Model Pembelajaran 70 20 10 Pada Agenda 1, 2, dan 3 Pelatihan Dasar Calon Pegawai Negeri Sipil. Diklat Review: Jurnal Manajemen Pendidikan dan Pelatihan, 7(3), 495-504.
Rasul, S. and Schwaiger, E. (2023). Learning climate, intrinsic motivation and psychological wellbeing among clinical psychology trainees in pakistan. Journal of Professional & Applied Psychology, 4(2), 152-166. https://doi.org/10.52053/jpap.v4i2.160
Ryan, R. M., Deci, E. L., Vansteenkiste, M., & Soenens, B. (2021). Building a science of motivated persons: self-determination theory’s empirical approach to human experience and the regulation of behavior.. Motivation Science, 7(2), 97-110. https://doi.org/10.1037/mot0000194
Sanjaya, I. G. N. and Amlayasa, A. B. (2024). The role of intrinsic motivation in mediating the effect of auditor independence on audit quality in indonesia. International Journal of Social Science and Human Research, 7(07). https://doi.org/10.47191/ijsshr/v7-i07-104
Sansone, C. and Tang, Y. (2021). Intrinsic and extrinsic motivation and self-determination theory. Motivation Science, 7(2), 113-114. https://doi.org/10.1037/mot0000234
Santoso, I., & Madiistriyatno, H. (2021). Metodologi Penelitian Kuantitatif. Indigo Media.
Sari, D. F., Efendi, A., & Sumaryati, S. (2024). Examining student satisfaction with learning management system-based e-learning: a self-determination theory perspective. Voices of English Language Education Society, 8(1), 52-63. https://doi.org/10.29408/veles.v8i1.25297
Tahmasebi, F. (2023). The digital divide: a qualitative study of technology access in rural communities. AI and Tech in Behavioral and Social Sciences, 1(2), 33-39. https://doi.org/10.61838/kman.aitech.1.2.6
Gagné, M., Parker, S. K., Griffin, M., Dunlop, P. D., Knight, C., Klonek, F. E., & Parent‐Rocheleau, X. (2022). Understanding and shaping the future of work with self-determination theory. Nature Reviews Psychology, 1(7), 378-392. https://doi.org/10.1038/s44159-022-00056-w
Yang, M., Viladrich, C., & Cruz, J. (2022). Examining the relationship between academic stress and motivation toward physical education within a semester: a two-wave study with chinese secondary school students. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.965690
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