1. Home
  2. Vol 10, No 1 (2022)
  3. Syahrastani

The Effect of Direct Learning Model with Routine Practice on Self-Efficacy and Student Learning Outcomes

Syahrastani Syahrastani(1),
(1) Universitas Negeri Padang  Indonesia

Corresponding Author


DOI : https://doi.org/10.29210/172200

Full Text:    Language : en

Abstract


This research was conducted because Self-Efficacy and Student Learning Outcomes are still weak. The direct learning model with routine practice is thought to be a factor influencing the Self-Efficacy and Student Learning Outcomes of students in higher education. This study aims to determine how the direct learning model with regular practice affects student self-efficacy and swimming learning outcomes. This type of research is a quantitative correlation with the research population is 90 students who take swimming courses in Higher Education. The research sample was selected by purposive random sampling. The instrument used is a questionnaire, because it is an effective data collection method to test the variables to be measured and the answers expected by the respondents. The questionnaire uses a Likert scale by providing an opportunity to answer each item. Hypothesis testing was carried out with the SPSS 26.0 program using correlational analysis. The results showed that the use of a direct learning model with regular practice will increase students' self-efficacy, as well as improve learning outcomes in swimming lessons.

Keywords


Direct Learning Model; Routine Practice; Self-Efficacy; Learning Outcomes

References


Ahmad, E., et al. (2018). Learning Motivation of Students of SMKN 1 Payakumbuh in Swimming Learning. Sports Journal. pp 6-13.

Brunner, G., Melnyk, D., Sigfússon, B., & Wattenhofer, R. (2019, September). Recognition of swimming strokes and counting laps using smartwatches and deep learning. In the Proceedings of the 23rd International Symposium on Wearable Computers (pp. 23-31).

Disal, WI, Dariyo, Basria, D., (2017). The Relationship between Mathematics Anxiety and Self-Efficacy with Mathematics Learning Outcomes of High School X Students in Palangka Raya City. Junal Muara Social Sciences, Humanities and Arts. Vol. 1 No. 2. PP. 556-568.

Einfalt, M., Zecha, D., & Lienhart, R. (2018, March). Activity-conditioned continuous human pose estimation for athlete performance analysis using a swimming example. At the 2018 IEEE winter conference on computer vision applications (WACV) (pp. 446-455). IEEE.

Ernesto Panadero, Anders Jonsson & Juan Botella. (2017). Effects Of Self-Assessment On Self-Regulated Learning And Self-Efficacy: Four Metaanalyses. Repositorio Institucional de la Universidad Autónoma de Madrid. Elseiver. pp. 74-98.

Fryer, LK (2015). Predicting Self Concept, Interest and Achievement for First – Year Students: The Seeds of Lifelong Learning. Learning and Individual Differences .

Feist, J. & Feist, JG (2013). Theories of personality (8th ed.). Singapore: McGrawHill

Hardianto, G., Erlamsyah, Nurfahanah (2014). Relationship between Academic Self-Efficacy with Student Learning Outcomes. Counselor's Journal. Vol. 3. No. 1 pp. 2-7.

Hosnan. (2014). Scientific and Contextual Approaches in 21st Century Learning. Bogor: Ghalia Indonesia.

Indriastuti, A., Sutaryadi, Susantiningrum. (2017). The Influence of Students' Learning Readiness and Teacher's Teaching Skills on Learning Outcomes. Journal of Office Administration Information and Communication. Vol. 1 No. 1. PP. 37-52.

Kate Talsmaa, Benjamin Schüzb, Kimberley Norris. (2018). Miscalibration of self-efficacy and academic performance: Self-efficacy, self-fulfilling prophecy. Journal of Learning and Individual Differences. pp. , 78(4), 620-634.

Kisti, Hepy Hapsari & Fardana N, Nur Ainy. (2012) . The Relationship Between Self Efficacy and Creativity in Vocational High School Students. Journal of Clinical Psychology and Mental Health, Vol 1 No 02.

Morada, MHD (2015). Correlation of numerical anxiety and mathematics performance. Asia Pacific Journal of Multidisciplinary Research, 3(5), 45-43.

Nemeth, J., & Long, JG (2012). Assessing Learning Outcomes in US Planning Studio Courses. Journal of Planning Education and Research, 32(4), 476-490.

Nawawi. (2010). Teaching Planning Fundamentals. Jakarta: Raja Grafindo Persada.

Okilada, A. (2018). Revitalizing Urban/Urban Communities Through Petangue Sports. Nusantara Sports Page: Journal of Sports Science. Vo. 1 No. 1.

Safitri, FN, & Kustini, S. (2014). The Influence of Learning Interest, Parents' Socio-Economic Conditions, and School Environment on Economic Learning Achievement in Class XI Social Studies Students of SMA Negeri 4 Magelang in the 2013/2014 Academic Year. Economic Education Analysis Journal , 3 (2)

Santrock, John W. (2011). Child Development Edition 7 Volume 2. (Translation: Sarah Genis B) Jakarta: Erlangga.

Singh, AK, Srivastava, S., & Singh, D. (2015). Student Engagement as The Predictor of Direct and Indirect Learning Outcomes in The Management Education Context. Metamorphosis ,14(2), 20-29.

Siti Nurhasanah, A. Sobandi. (2016). Learning Interest as a Determinant of Student Learning Outcomes. JOURNAL OF Office Management Education Vol. 1 No. 1 pp. 128-135.

Yonanda, D., A. (2017). Improving Students' Understanding of Civics Subjects about Government Systems Through the M2M (Mind Mapping) Method for Class IV MI Mambaul Ulum Telagondo, Karangploso, Malang. Journal of Pendas Cakrawala Vol. 3, No. 1 pp. 53-63.


Article Metrics

 Abstract Views : 471 times
 PDF Downloaded : 375 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.