Volume 11, Issue 2 (2023)
Health Educ Health Promot 2023, 11(2): 261-266 |
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Ardiyanto J, Handayani O, Raharjo T, Pujiastuti R. The Role of Learning Repetitive Strategy in Determining Learning Performance Skill: An Insight from Health Vocational School. Health Educ Health Promot 2023; 11 (2) :261-266
URL: http://hehp.modares.ac.ir/article-5-68010-en.html
URL: http://hehp.modares.ac.ir/article-5-68010-en.html
1- Negeri Semarang University, Semarang, Indonesia
2- Health Polytechnic of Semarang, Semarang, Indonesia
2- Health Polytechnic of Semarang, Semarang, Indonesia
Abstract: (1068 Views)
Aims: Knowledge and skills significantly affect the learning performance of vocational students. However, adding ability without enhancing memory can reduce learning effectiveness, which ultimately affects learning performance. This study was done to investigate the effect of learning engagement and self-confidence on learning performance, mediated by repetition of educational materials. The goal is to improve the learning process and increase students' memory retention during exams.
Participants & Methods: This study was conducted on 179 respondents from health vocational schools to analyze knowledge, skills, and expertise after learning using four variables: learning engagement, self-confidence, repetition strategy, and learning performance from August to December 2022.
Findings: The results indicated that learning engagement and self-confidence directly affected learning performance. The Repetition strategies mediated the relationship between learning engagement and self-confidence with learning performance.
Conclusion: Therefore, implementing rehearsal strategies for students is essential in the learning process to establish optimal learning performance. Repetition strategies can help students maintain and strengthen their memory, leading to better exam performance and educational evaluations.
Participants & Methods: This study was conducted on 179 respondents from health vocational schools to analyze knowledge, skills, and expertise after learning using four variables: learning engagement, self-confidence, repetition strategy, and learning performance from August to December 2022.
Findings: The results indicated that learning engagement and self-confidence directly affected learning performance. The Repetition strategies mediated the relationship between learning engagement and self-confidence with learning performance.
Conclusion: Therefore, implementing rehearsal strategies for students is essential in the learning process to establish optimal learning performance. Repetition strategies can help students maintain and strengthen their memory, leading to better exam performance and educational evaluations.
Keywords: Learning [MeSH], Work engagement [MeSH], Memory [MeSH], Academic Performance [MeSH], Health [MeSH]
Article Type: Qualitative Research |
Subject:
Family Health Education/Promotion
Received: 2023/03/12 | Accepted: 2023/05/15 | Published: 2023/05/31
Received: 2023/03/12 | Accepted: 2023/05/15 | Published: 2023/05/31
References
1. Chen IS. Computer self-efficacy, learning performance, and the mediating role of learning engagement. Comput Human Behav. 2017;72:360-72. [Link] [DOI:10.1016/j.chb.2017.02.059]
2. Wu H, Li S, Zheng J, Guo J. Medical students' motivation and academic performance: The mediating roles of self-efficacy and learning engagement. Med Educ Online. 2020;25(1):1742964. [Link] [DOI:10.1080/10872981.2020.1742964]
3. Thai NTT, De Wever B, Valcke M. Face-to-face, blended, flipped, or online learning environment? Impact on learning performance and student cognitions. J Comput Assist Learn. 2020;36(3):397-411. [Link] [DOI:10.1111/jcal.12423]
4. Bolaños EK, Boone JRM, Lauresta EVM, Calinao JRG. Effectiveness of basic safety training as perceived by filipino seafarers. Laguna J Int Tour Hosp Manag. 2016;1:1-6. [Link]
5. Oh JE, Chan YK, Kim KV. Social media and e-portfolios: Impacting design students' motivation through project-based learning. IAFOR J Educ. 2020;8(3):41-58. [Link] [DOI:10.22492/ije.8.3.03]
6. Irhamna I, Amry Z, Syahputra H. Contribution of mathematical anxiety, learning motivation and self-confidence to student's mathematical problem solving. Budapest Int Res Critics Linguist Educ J. 2020;3(4):1759-72. [Link] [DOI:10.33258/birle.v3i4.1343]
7. Thoonen EEJ, Sleegers PJC, Oort FJ, Peetsma TTD, Geijsel FP. How to improve teaching practices: The role of teacher motivation, organizational factors, and leadership practices. Educ Adm Q. 2011;47(3):496-536 [Link] [DOI:10.1177/0013161X11400185]
8. Marinelli JP, Hwa TP, Lohse CM, Carlson ML. Harnessing the power of spaced repetition learning and active recall for trainee education in otolaryngology. Am J Otolaryngol. 2022;43(5):103495. [Link] [DOI:10.1016/j.amjoto.2022.103495]
9. Schimanke F, Mertens R, Vornberger O. Spaced repetition learning games on mobile devices: Foundations and perspectives. Interact Technol Smart Educ. 2014;11(3):201. [Link] [DOI:10.1108/ITSE-07-2014-0017]
10. He W, Zhao L. Exploring undergraduates' learning engagement via BYOD in the blended learning classroom (Eulebyodblc). Int J Inf Educ Technol. 2020;10(2):159-64. [Link] [DOI:10.18178/ijiet.2020.10.2.1356]
11. Dong A, Jong MSY, King RB. How does prior knowledge influence learning engagement? the mediating roles of cognitive load and help-seeking. Front Psychol. 2020;11:591203. [Link] [DOI:10.3389/fpsyg.2020.591203]
12. Pan X, Shao H. Teacher online feedback and learning motivation: Learning engagement as a mediator. Soc Behav Pers. 2020;48(6):e9118. [Link] [DOI:10.2224/sbp.9118]
13. Sadeghi E, Ganji M. The effects of cooperative learning on Iranian university students' class-engagement, self-esteem, and self-confidence. J Mod Res English Lang Stud. 2020;7(4):98-109. [Persian] [Link]
14. Siregar NC, Rosli R, Maat SM. The effects of a discovery learning module on geometry for improving students' mathematical reasoning skills, communication and self-confidence. Int J Learn Teach Educ Res. 2020;19(3). [Link] [DOI:10.26803/ijlter.19.3.12]
15. Bouilheres F, Le LTVH, McDonald S, Nkhoma C, Jandug-Montera L. Defining student learning experience through blended learning. Educ Inf Technol. 2020;25:3049-69 [Link] [DOI:10.1007/s10639-020-10100-y]
16. Lambers A, Talia AJ. Spaced repetition learning as a tool for orthopedic surgical education: A prospective cohort study on a training examination. J Surg Educ. 2021;78(1):134-9. [Link] [DOI:10.1016/j.jsurg.2020.07.002]
17. Becker TE, Atinc G, Breaugh JA, Carlson KD, Edwards JR, Spector PE. Statistical control in correlational studies: 10 essential recommendations for organizational researchers. J Organ Behav. 2016;37(2):157-67. [Link] [DOI:10.1002/job.2053]
18. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis seventh edition. London: Pearson; 2014. [Link]
19. Hu PJH, Hui W. Examining the role of learning engagement in technology-mediated learning and its effects on learning effectiveness and satisfaction. Decis Support Syst. 2012;53(4):782-92. [Link] [DOI:10.1016/j.dss.2012.05.014]
20. Blum CA, Borglund S, Parcells D. High-fidelity nursing simulation: Impact on student self-confidence and clinical competence. Int J Nurs Educ Scholarsh. 2010;7(1):18. [Link] [DOI:10.2202/1548-923X.2035]
21. Kose T, Mede E. Investigating the use of a mobile flashcard application rememba on the vocabulary development and motivation of EFL learners. Mextesol J. 2018;42(4). [Link]
22. Deutscher V, Winther E. Instructional sensitivity in vocational education. Learn Instr. 2018;53:21-33. [Link] [DOI:10.1016/j.learninstruc.2017.07.004]
23. Qureshi MA, Khaskheli A, Qureshi JA, Raza SA, Yousufi SQ. Factors affecting students' learning performance through collaborative learning and engagement. Interact Learn Environ. 2021;31(1):1-21 [Link] [DOI:10.1080/10494820.2021.1884886]
24. Wang K, Zhu C. MOOC-based flipped learning in higher education: Students' participation, experience and learning performance. Int J Educ Technol High Educ. 2019;16:1-18. [Link] [DOI:10.1186/s41239-019-0163-0]
25. Choi E, Lindquist R, Song Y. Effects of problem-based learning vs. traditional lecture on Korean nursing students' critical thinking, problem-solving, and self-directed learning. Nurse Educ Today. 2014;34(1):52-6. [Link] [DOI:10.1016/j.nedt.2013.02.012]
26. Othman A, Talib O, Hassan SA, Kamarudin N. Cognitive, afective and students' performance : A model of meaningful learning. Seminar Penyelidikan & Pembangunan Sumber Manusia; 2014 Oct 15; UPM. Selangor: Facutly of Education Studies; 2014. [Link]
27. Zamnah LN, Ruswana AM. Implementation of self-directed learning model to improve students' self-regulated learning and self-confidence. J Phys Conf Ser. 2019;1188:012081. [Link] [DOI:10.1088/1742-6596/1188/1/012081]
28. Julian DM, Simaibang B, Mulyadi M. The correlations among learning motivation, self-confidence, and writing ability of students descriptive text. JPGI. 2021;6(1):142-8. [Link] [DOI:10.29210/021002jpgi0005]
29. Tautz D, Sprenger DA, Schwaninger A. Evaluation of four digital tools and their perceived impact on active learning, repetition and feedback in a large university class. Comput Educ. 2021;175:104338. [Link] [DOI:10.1016/j.compedu.2021.104338]
30. Zaidi A, Caines A, Moore R, Buttery P, Rice A. Adaptive forgetting curves for spaced repetition language learning. Artificial Intelligence Educ. 2020;12164:358-63. [Link] [DOI:10.1007/978-3-030-52240-7_65]
31. Sukegawa M, Ueda Y, Saito S. The effects of Hebb repetition learning and temporal grouping in immediate serial recall of spatial location. Mem Cogn. 2019;47(4):643-57. [Link] [DOI:10.3758/s13421-019-00921-9]
32. Augustin M. How to learn effectively in medical school: Test yourself, learn actively, and repeat in intervals. Yale J Biol Med. 2014;87(2):207-12. [Link]
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