The Influence of Character Education on Elementary School Students’ Social Behavior

Muhammad Sabir (1), Harianta Sembiring (2), Rudy Surbakti (3), Ahmad Yani (4), Risa Juliadilla (5)
(1) Universitas Tamalatea Makassar, Indonesia,
(2) Sekolah Tinggi Manajemen Informatika dan Komputer Kristen Neumann Indonesia, Indonesia,
(3) Sekolah Tinggi Manajemen Informatika dan Komputer Kristen Neumann Indonesia, Indonesia,
(4) Sekolah Tinggi Agama Islam Kharisma Sukabumi, Indonesia,
(5) Universitas Gajayana, Indonesia

Abstract

Social behavior plays a crucial role in shaping students’ interpersonal relationships and their ability to function effectively in a community. However, the increasing prevalence of negative behaviors such as bullying and lack of empathy among elementary school students has highlighted the need for effective interventions. Character education, which focuses on fostering ethical values and social skills, has emerged as a promising approach to address these challenges. This study investigates the influence of character education programs on the social behavior of elementary school students. A quasi-experimental design was employed, involving 100 students divided into an experimental group that received character education lessons and a control group that followed the standard curriculum. Data were collected using behavioral observation checklists, teacher evaluations, and student self-assessment questionnaires. The findings revealed a significant improvement in the social behavior of students in the experimental group, including increased empathy, cooperation, and conflict resolution skills. Teachers noted enhanced classroom interactions and reduced instances of negative behaviors. 

Full text article

Generated from XML file

References

Aldrup, K. (2022). Is Empathy the Key to Effective Teaching? A Systematic Review of Its Association with Teacher-Student Interactions and Student Outcomes. Educational Psychology Review, 34(3), 1177–1216. https://doi.org/10.1007/s10648-021-09649-y

Bauer, G. R. (2021). Intersectionality in quantitative research: A systematic review of its emergence and applications of theory and methods. SSM - Population Health, 14(Query date: 2024-12-01 09:57:11). https://doi.org/10.1016/j.ssmph.2021.100798

Brown, K. A. (2020). Understanding basic concepts of developmental diagnosis in children. Translational Pediatrics, 9(Query date: 2025-01-28 12:36:44). https://doi.org/10.21037/TP.2019.11.04

Byusa, E. (2022). Game-based learning approach on students’ motivation and understanding of chemistry concepts: A systematic review of literature. Heliyon, 8(5). https://doi.org/10.1016/j.heliyon.2022.e09541

Campanini, I. (2022). Fundamental Concepts of Bipolar and High-Density Surface EMG Understanding and Teaching for Clinical, Occupational, and Sport Applications: Origin, Detection, and Main Errors. Sensors, 22(11). https://doi.org/10.3390/s22114150

Cavinato, A. G. (2021). Promoting student interaction, engagement, and success in an online environment. Analytical and Bioanalytical Chemistry, 413(6), 1513–1520. https://doi.org/10.1007/s00216-021-03178-x

Çebi, A. (2020). Students’ interaction patterns in different online learning activities and their relationship with motivation, self-regulated learning strategy and learning performance. Education and Information Technologies, 25(5), 3975–3993. https://doi.org/10.1007/s10639-020-10151-1

Christner, N. (2020). Emotion understanding and the moral self-concept as motivators of prosocial behavior in middle childhood. Cognitive Development, 55(Query date: 2025-01-28 12:36:44). https://doi.org/10.1016/j.cogdev.2020.100893

Davis, C. P. (2020). Situational systematicity: A role for schema in understanding the differences between abstract and concrete concepts. Cognitive Neuropsychology, 37(1), 142–153. https://doi.org/10.1080/02643294.2019.1710124

Ellenbecker, T. S. (2020). Step by Step Guide to Understanding the Kinetic Chain Concept in the Overhead Athlete. Current Reviews in Musculoskeletal Medicine, 13(2), 155–163. https://doi.org/10.1007/s12178-020-09615-1

Gearhardt, A. N. (2021a). The concept of “food addiction” helps inform the understanding of overeating and obesity: Debate Consensus. American Journal of Clinical Nutrition, 113(2), 274–276. https://doi.org/10.1093/ajcn/nqaa345

Gearhardt, A. N. (2021b). The concept of “food addiction” helps inform the understanding of overeating and obesity: YES. American Journal of Clinical Nutrition, 113(2), 263–267. https://doi.org/10.1093/ajcn/nqaa343

Graupensperger, S. (2020). Social (Un)distancing: Teammate Interactions, Athletic Identity, and Mental Health of Student-Athletes During the COVID-19 Pandemic. Journal of Adolescent Health, 67(5), 662–670. https://doi.org/10.1016/j.jadohealth.2020.08.001

Greenwald, E. (2021). Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts. 35th AAAI Conference on Artificial Intelligence, AAAI 2021, 17(Query date: 2025-01-28 12:36:44), 15526–15533. https://doi.org/10.1609/aaai.v35i17.17828

Hamdan, K. M. (2021). University students’ interaction, Internet self-efficacy, self-regulation and satisfaction with online education during pandemic crises of COVID-19 (SARS-CoV-2). International Journal of Educational Management, 35(3), 713–725. https://doi.org/10.1108/IJEM-11-2020-0513

Havik, T. (2020). Do Teachers Matter? Students’ Perceptions of Classroom Interactions and Student Engagement. Scandinavian Journal of Educational Research, 64(4), 488–507. https://doi.org/10.1080/00313831.2019.1577754

Hebebrand, J. (2021). The concept of “food addiction” helps inform the understanding of overeating and obesity: NO. American Journal of Clinical Nutrition, 113(2), 268–273. https://doi.org/10.1093/ajcn/nqaa344

Hu, T. (2021). Movable oil content evaluation of lacustrine organic-rich shales: Methods and a novel quantitative evaluation model. Earth-Science Reviews, 214(Query date: 2024-12-01 09:57:11). https://doi.org/10.1016/j.earscirev.2021.103545

Li, Z. (2020). From community-acquired pneumonia to COVID-19: A deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans. European Radiology, 30(12), 6828–6837. https://doi.org/10.1007/s00330-020-07042-x

Mackay, I. J. (2021). Understanding the classics: The unifying concepts of transgressive segregation, inbreeding depression and heterosis and their central relevance for crop breeding. Plant Biotechnology Journal, 19(1), 26–34. https://doi.org/10.1111/pbi.13481

Maurovi?, I. (2020). A Review of Family Resilience: Understanding the Concept and Operationalization Challenges to Inform Research and Practice. Child Care in Practice, 26(4), 337–357. https://doi.org/10.1080/13575279.2020.1792838

Mubarak, A. A. (2022). Prediction of students’ early dropout based on their interaction logs in online learning environment. Interactive Learning Environments, 30(8), 1414–1433. https://doi.org/10.1080/10494820.2020.1727529

Muzammil, M. (2021). Investigating Student Satisfaction In Online Learning: The Role Of Student Interaction And Engagement In Distance Learning University. Turkish Online Journal of Distance Education, 21(Query date: 2025-01-28 13:57:39), 88–96. https://doi.org/10.17718/TOJDE.770928

Nauta, M. (2023). From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. ACM Computing Surveys, 55(13). https://doi.org/10.1145/3583558

Park, J. J. (2020). Student–Faculty Interaction and Discrimination from Faculty in STEM: The Link with Retention. Research in Higher Education, 61(3), 330–356. https://doi.org/10.1007/s11162-019-09564-w

Pettersson, F. (2021). Understanding digitalization and educational change in school by means of activity theory and the levels of learning concept. Education and Information Technologies, 26(1), 187–204. https://doi.org/10.1007/s10639-020-10239-8

Piñeiro-Chousa, J. (2022). US biopharmaceutical companies’ stock market reaction to the COVID-19 pandemic. Understanding the concept of the ‘paradoxical spiral’ from a sustainability perspective. Technological Forecasting and Social Change, 175(Query date: 2025-01-28 12:36:44). https://doi.org/10.1016/j.techfore.2021.121365

Polanco-Levicán, K. (2022). Understanding Social Media Literacy: A Systematic Review of the Concept and Its Competences. International Journal of Environmental Research and Public Health, 19(14). https://doi.org/10.3390/ijerph19148807

Salta, K. (2022). Shift From a Traditional to a Distance Learning Environment during the COVID-19 Pandemic: University Students’ Engagement and Interactions. Science and Education, 31(1), 93–122. https://doi.org/10.1007/s11191-021-00234-x

Sánchez-Bravo, P. (2021). Consumer understanding of sustainability concept in agricultural products. Food Quality and Preference, 89(Query date: 2025-01-28 12:36:44). https://doi.org/10.1016/j.foodqual.2020.104136

Smith, K. E. (2021). Rethinking Concepts and Categories for Understanding the Neurodevelopmental Effects of Childhood Adversity. Perspectives on Psychological Science, 16(1), 67–93. https://doi.org/10.1177/1745691620920725

Taye, M. M. (2023). Theoretical Understanding of Convolutional Neural Network: Concepts, Architectures, Applications, Future Directions. Computation, 11(3). https://doi.org/10.3390/computation11030052

Tu, S. (2021). Diagnostic accuracy of quantitative flow ratio for assessment of coronary stenosis significance from a single angiographic view: A novel method based on bifurcation fractal law. Catheterization and Cardiovascular Interventions, 97(Query date: 2024-12-01 09:57:11), 1040–1047. https://doi.org/10.1002/ccd.29592

Wang, Q. (2021). Towards mutual theory of mind in human-ai interaction: How language reflects what students perceive about a virtual teaching assistant. Conference on Human Factors in Computing Systems - Proceedings, Query date: 2025-01-28 13:57:39. https://doi.org/10.1145/3411764.3445645

Wang, Y. (2024). Modeling the interaction between teacher credibility, teacher confirmation, and English major students’ academic engagement: A sequential mixed-methods approach. Studies in Second Language Learning and Teaching, 14(2), 235–265. https://doi.org/10.14746/ssllt.38418

Wieselmann, J. R. (2020). “I just do what the boys tell me”: Exploring small group student interactions in an integrated STEM unit. Journal of Research in Science Teaching, 57(1), 112–144. https://doi.org/10.1002/tea.21587

Wong, W. H. (2023). Student satisfaction and interaction in higher education. Higher Education, 85(5), 957–978. https://doi.org/10.1007/s10734-022-00874-0

Yue, J. (2022). Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, methods, and perspectives. IEEE Geoscience and Remote Sensing Magazine, 10(2), 250–269. https://doi.org/10.1109/MGRS.2022.3161377

Zhang, Y. (2020). Student interaction and the role of the teacher in a state virtual high school: What predicts online learning satisfaction? Technology, Pedagogy and Education, 29(1), 57–71. https://doi.org/10.1080/1475939X.2019.1694061

Authors

Muhammad Sabir
sabirali711025@gmail.com (Primary Contact)
Harianta Sembiring
Rudy Surbakti
Ahmad Yani
Risa Juliadilla
Sabir, M., Sembiring, H., Surbakti, R., Yani, A., & Juliadilla, R. (2025). The Influence of Character Education on Elementary School Students’ Social Behavior. International Journal of Educatio Elementaria and Psychologia, 2(2), 57–67. https://doi.org/10.70177/ijeep.v2i2.1889

Article Details

Most read articles by the same author(s)