HomeJournal of Education, Management, and Development Studiesvol. 3 no. 4 (2023)

Learning Outcomes Management in Vocational School

Darul Prayogo

Discipline: Education

 

Abstract:

This research addresses the suboptimal learning outcomes observed in the Politeknik Ilmu Pelayaran Semarang technical drawing course, focusing on the interplay of lecturer performance, student engagement, and curriculum design. The primary objective is to enhance learning outcomes for Level I Cadets during the 2023 academic year. The study encompasses 103 Level I Cadets enrolled in the Engineering Study Program, utilizing a total sampling technique. Data collection involves a questionnaire to assess the Engineering drawing course’s effectiveness. The analytical approach employs percentage descriptive techniques and regression methods, including partial and simultaneous tests, subject to meeting prerequisite test requirements such as normality, heteroscedasticity, linearity, and multicollinearity. Results indicate that lecturer and student factors and environmental elements significantly influence learning outcomes in technical drawing. However, curriculum factors do not exhibit a notable impact on learning outcomes. Collectively, lecturer performance, student engagement, curriculum design, and environmental factors jointly contribute to learning outcomes by 39%, with the remaining 61% influenced by unexplored variables such as cost, organizational climate, socio-culture, and education management. In conclusion, this study establishes a link between lecturer performance, student engagement, and the environment with learning outcomes in technical drawing courses. Conversely, curriculum factors show no significant influence. Recommendations include optimizing the roles of lecturers and students and enhancing the educational environment to foster a conducive learning atmosphere within the dormitory setting.



References:

  1. Abushandi, E. (2021). Assessment for student success: Delivering high-quality modules and improving educational methods in civil engineering program. Journal of Educational and Social Research, 11(2), 251. https://doi.org/10.36941/jesr-2021-0044
  2. Albreiki, B., Habuza, T., & Zaki, N. (2022). Framework for automatically suggesting remedial actions to help students at risk based on explainable ML and rule-based models. International Journal of Educational Technology in Higher Education, 19(1), 49. https://doi.org/10.1186/s41239-022-00354-6
  3. Alnajjar, K., Al-Qeyam, F. R., Awwad, A., & Alkhutaba, M. (2022). Students’ perceptions of online foreign language learning during the Corona Virus. World Journal of English Language, 12(6), 155. https://doi.org/10.5430/wjel.v12n6p155
  4. Al-Shlowiy, A. (2022). Teachers’ reflection of students’ engagement in online language learning: Multi-case study. International Journal of Educational Methodology, 8(2), 285–295. https://doi.org/10.12973/ijem.8.2.285
  5. Alvira, N., & Satoto, T. B. T. (2022). Parent satisfaction when schools from home during the COVID-19 pandemic. International Journal of Public Health Science (IJPHS), 11(3), 746. https://doi.org/10.11591/ijphs.v11i3.21223
  6. Binaghi, G., & Guida, M. (2022). Psychoeducational strategies in school context to support students with specific learning disorders in a sample of children aged 6 to 16. In I. R. Management Association (Ed.), Research Anthology on Inclusive Practices for Educators and Administrators in Special Education (pp. 488–509). IGI Global. https://doi.org/10.4018/978-1-6684-3670-7.ch027
  7. Brimzhanova, S., Atanov, S., Moldamurat, K., Baymuhambetova, B., Brimzhanova, K., & Seitmetova, A. (2022). An intelligent testing system development based on the shingle algorithm for assessing humanities students’ academic achievements. Education and Information Technologies, 27(8), 10785–10807. https://doi.org/10.1007/s10639-022-11057-w
  8. Courtney, M., Karakus, M., Ersozlu, Z., & Nurumov, K. (2022). The influence of ICT use and related attitudes on students’ math and science performance: Multilevel analyses of the last decade’s PISA surveys. Large-Scale Assessments in Education, 10(1), 8. https://doi.org/10.1186/s40536-022-00128-6
  9. Daniela, L., Kristapsone, S., Kraģe, G., Belogrudova, L., Vorobjovs, A., & Krone, I. (2022). Searching for pedagogical answers to support STEM learning: Gender perspective. Sustainability, 14(21), 14598. https://doi.org/10.3390/su142114598
  10. Datay, M. I., Boulle, A., Mant, D., & Yudkin, P. (2010). Associations with virologic treatment failure in adults on antiretroviral therapy in South Africa. JAIDS Journal of Acquired Immune Deficiency Syndromes, 54(5), 489–495. https://doi.org/10.1097/QAI.0b013e3181d91788
  11. Dereń, A. M., Skonieczny, J., & Łukaszczykiewicz, S. (2022). E-learning as an instrument for managing knowledge in the field of sustainable development in a chemical company in Poland. Sustainability, 14(14), 8351. https://doi.org/10.3390/su14148351
  12. Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., Conboy, K., Doyle, R., Dubey, R., Dutot, V., Felix, R., Goyal, D. P., Gustafsson, A., Hinsch, C., Jebabli, I., … Wamba, S. F. (2022). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 66, 102542. https://doi.org/10.1016/j.ijinfomgt.2022.102542
  13. Eirín-Nemiña, R. (2019). Reconstruyendo la materia de didáctica de la educación física desde la perspectiva autobiográfica del alumnado (Reconstructing the subject of didactics of physical education from students’ autobiographical perspective). Retos, 37, 628–633. https://doi.org/10.47197/retos.v37i37.74198
  14. Falcón-Pérez, C. E., & Fuentes-Perdomo, J. (2019). Mejorando el bienestar de la sociedad a través del cooperativismo de plataforma. CIRIEC-España, Revista de Economía Pública, Social y Cooperativa, 95, 161. https://doi.org/10.7203/CIRIEC-E.95.12655
  15. Gaudin, C., & Chaliès, S. (2015). Video viewing in teacher education and professional development: A literature review. Educational Research Review, 16, 41–67. https://doi.org/10.1016/j.edurev.2015.06.001
  16. Gebru, M. G., Khan, M. S., & Raza, S. (2022). Is there complementarity between teaching and research? Evidence from Pakistani higher education institutions. Education Research International, 2022, 1–14. https://doi.org/10.1155/2022/8503187
  17. Hadriana, H., Mahdum, M., Isjoni, H., Futra, D., & Primahardani, I. (2021). Online learning management in the era of COVID-19 pandemic at junior high schools in Indonesia. Journal of Information Technology Education: Research, 20, 351–383. https://doi.org/10.28945/4819
  18. Haenilah, E. Y., Hariri, H., Ridwan, S., Ochayi, O. A., Maydiantoro, A., Zainaro, M. A., Bolado, J. R. T., Kesuma, T. A. R. P., Tusianah, R., & Isnainy, U. C. A. S. (2022). Literature review of good teachers: The attributes and gaps of Indonesian teachers as a profession. Academic Journal of Interdisciplinary Studies, 11(2), 175. https://doi.org/10.36941/ajis-2022-0044
  19. Harun, H., Kartowagiran, B., & Manaf, A. (2021). Student attitude and mathematics learning success: A meta-analysis. International Journal of Instruction, 14(4), 209–222. https://doi.org/10.29333/iji.2021.14413a
  20. Hassan, J., Devi, A., & Ray, B. (2022). Virtual laboratories in tertiary education: Case study analysis by learning theories. Education Sciences, 12(8), 554. https://doi.org/10.3390/educsci12080554
  21. Hessen, P. R., & Kuncel, N. R. (2022). Beyond grades: A meta-analysis of personality predictors of academic behavior in middle school and high school. Personality and Individual Differences, 199, 111809. https://doi.org/10.1016/j.paid.2022.111809
  22. Hoang, P. N., Samara, M., Shannawi, S., Dayupay, J. P., Jarrah, H., Olvida, C. F., Layco, E. P., Solina, A. M., Maglente, S. S., Luna, A. R. F., Capulso, L. B., Tabiolo, C. D. L., & Ras Jr, S. N. (2022). The influence of lighting, noise, and temperature on the academic performance of students amid COVID-19 pandemic. International Journal of Learning, Teaching and Educational Research, 21(9), 415–440. https://doi.org/10.26803/ijlter.21.9.23
  23. Jia, X., & Hermans, F. (2022). Teaching Quality in Programming Education: The Effect of Teachers’ Background Characteristics and Self-efficacy. Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1, 223–236. https://doi.org/10.1145/3501385.3543962
  24. Julia, J., Supriyadi, T., & Iswara, P. D. (2022). Development of the Religious Character of the Nation through Learning Religious Songs: Teachers’ Perception and Challenges. Harmonia: Journal of Arts Research and Education, 22(1), 103–118. https://doi.org/10.15294/harmonia.v22i1.35031
  25. Kalogiannakis, M., Papadakis, S., & Zourmpakis, A.-I. (2021). Gamification in Science Education: A Systematic Review of the Literature. Education Sciences, 11(1), 22. https://doi.org/10.3390/educsci11010022
  26. Kulturel-Konak, S. (2020). Person-centered analysis of factors related to STEM students’ global awareness. International Journal of STEM Education, 7(1), 40. https://doi.org/10.1186/s40594-020-00239-y
  27. Lockman, A., & Schirmer, B. (2020). Online Instruction in Higher Education: Promising, Research-based, and Evidence-based Practices. Journal of Education and E-Learning Research, 7(2), 130–152. https://doi.org/10.20448/journal.509.2020.72.130.152
  28. Mahdum, M., Hadriana, H., & Safriyanti, M. (2019). Exploring Teacher Perceptions and Motivations to ICT Use in Learning Activities in Indonesia. Journal of Information Technology Education: Research, 18, 293–317. https://doi.org/10.28945/4366
  29. Martin, D. A., Conlon, E., & Bowe, B. (2021). A Multi-level Review of Engineering Ethics Education: Towards a Socio-technical Orientation of Engineering Education for Ethics. Science and Engineering Ethics, 27(5), 60. https://doi.org/10.1007/s11948-021-00333-6
  30. Monaghan, L. F., Rich, E., & Bombak, A. E. (2022). Rethinking Obesity: Critical Perspectives in Crisis Times (1st ed.). Routledge. https://doi.org/10.4324/9781315658087
  31. Oolbekkink-Marchand, H., Van Der Want, A., Schaap, H., Louws, M., & Meijer, P. (2022). Achieving professional agency for school development in the context of having a PhD scholarship: An intricate interplay. Teaching and Teacher Education, 113, 103684. https://doi.org/10.1016/j.tate.2022.103684
  32. Palioura, M., & Dimoulas, C. (2022). Digital Storytelling in Education: A Transmedia Integration Approach for the Non-Developers. Education Sciences, 12(8), 559. https://doi.org/10.3390/educsci12080559
  33. Şenyiğit, Ç., & Serin, O. (2022). The role of perceived ICT competencies on primary school pre-service teachers’ integrated STEM teaching intentions. Participatory Educational Research, 9(6), 221–247. https://doi.org/10.17275/per.22.137.9.6
  34. Sinring, A., Aryani, F., & Umar, N. F. (2022). Examining the Effect of Self-Regulation and Psychological Capital on the Students’ Academic Coping Strategies during the Covid-19 Pandemic. International Journal of Instruction, 15(2), 487–500. https://doi.org/10.29333/iji.2022.15227a
  35. Smit, N. P. M., Romijn, F. P. H. T. M., Van Ham, V. J. J., Reijnders, E., Cobbaert, C. M., & Ruhaak, L. R. (2023). Quantitative protein mass-spectrometry requires a standardized pre-analytical phase. Clinical Chemistry and Laboratory Medicine (CCLM), 61(1), 55–66. https://doi.org/10.1515/cclm-2022-0735
  36. Song, M., Xing, X., Duan, Y., Cohen, J., & Mou, J. (2022). Will artificial intelligence replace human customer service? The impact of communication quality and privacy risks on adoption intention. Journal of Retailing and Consumer Services, 66, 102900. https://doi.org/10.1016/j.jretconser.2021.102900
  37. Stössel, J., Baumann, R., & Wegner, E. (2021). Predictors of Student Teachers’ ESD Implementation Intention and Their Implications for Improving Teacher Education. Sustainability, 13(16), 9027. https://doi.org/10.3390/su13169027
  38. Thomas, M., Suliman, S., Allen, M., Hameed, M., Ghaffar, A., Emara, M., Fatima, H., George, S., Singh, R., Ghazouaini, H., & Alkhal, A. (2022). A cross sectional survey on the effect of COVID-19 related restrictions on undergraduate and postgraduate medical education in Qatar. BMC Medical Education, 22(1), 212. https://doi.org/10.1186/s12909-022-03268-z
  39. Vaisarova, J., & Reynolds, A. J. (2022). Is more child-initiated always better? Exploring relations between child-initiated instruction and preschoolers’ school readiness. Educational Assessment, Evaluation and Accountability, 34(2), 195–226. https://doi.org/10.1007/s11092-021-09376-6
  40. Vitvitskaya, O., Suyo-Vega, J. A., Meneses-La-Riva, M. E., & Fernández-Bedoya, V. H. (2022). Behaviours and Characteristics of Digital Natives Throughout the Teaching-Learning Process: A Systematic Review of Scientific Literature from 2016 to 2021. Academic Journal of Interdisciplinary Studies, 11(3), 38. https://doi.org/10.36941/ajis-2022-0066
  41. Wang, X., Dai, M., & Mathis, R. (2022). The influences of student- and school-level factors on engineering undergraduate student success outcomes: A multi-level multi-school study. International Journal of STEM Education, 9(1), 23. https://doi.org/10.1186/s40594-022-00338-y