Understanding the Teaching at The Right Level (TaRL) Model's Impact on High School Economics Curriculum and Performance

Authors

  • Abdul Salam Department of Economic Education, Postgraduate School Student, Universitas Patompo, Makassar 90233, South Sulawesi, Indonesia.
  • Kembong Daeng Department of Economic Education, Postgraduate Program, Universitas Negeri Makassar, Makassar 90222, South Sulawesi, Indonesia.
  • Hartini Hartini Department of Economic Education, Postgraduate School, Universitas Patompo, Makassar 90233, South Sulawesi, Indonesia.

Keywords:

TaRL model, economics education, learning outcomes, learning process

Abstract

This study aims to identify and analyze the impact of the Teaching at the Right Level (TaRL) model on the learning process and outcomes in Economics for tenth-grade students at Senior High School Makassar, as well as the influencing variables. The population includes all tenth-grade students at Senior High School. Data collection was conducted using a non-probability sampling method, selecting students from Social Science Class 1 (X IPS 1) and (X IPS 2) for an experimental study. Based on predetermined criteria, a sample of 72 students studying Economics was analyzed. Data collection techniques included observation, questionnaires, and documentation. The data analysis technique employed was simple regression correlation analysis using SPSS software. The results of this study indicate a significant impact of the TaRL model on the learning process of students in Social Science Class 1 (X IPS 1) for the Economics subject, with a significance value of 0.022 < 0.05. This suggests that variable X (learning process and outcomes) is positively influenced by variable Y (Teaching at the Right Level). Furthermore, there is a significant impact of the Teaching at the Right Level model on the learning process of students in Social Science Class 2 (X IPS 2) for the Economics subject, with a significance value of 0.012 < 0.05. This also indicates a positive influence of variable X (learning process and outcomes) by variable Y (Teaching at the Right Level). Based on the obtained data, the average student engagement reached 69.3%, which falls into the "good" category with a student engagement range of 61-80%.

References

Arikunto, S. (2019). Prosedur penelitian suatu pendekatan praktik. Jakarta: Rineka Cipta.

Banerjee, A., Banerji, R., Berry, J., Duflo, E., Kannan, H., Mukerji, S., Shotland, M., & Walton, M. (2017). From proof of concept to scalable policies: Challenges and solutions, with an application. Journal of Economic Perspectives, 31(4), 73–102.

Banerjee, A. V, Banerji, R., Duflo, E., Glennerster, R., & Khemani, S. (2010). Pitfalls of participatory programs: Evidence from a randomized evaluation in education in India. American Economic Journal: Economic Policy, 2(1), 1–30.

Bold, T., Kimenyi, M., Mwabu, G., Ng’ang’a, A., & Sandefur, J. (2013). Scaling up what works: Experimental evidence on external validity in Kenyan education. Center for Global Development Working Paper, 321.

Brannen, J. (2017). Mixing methods: Qualitative and quantitative research. Routledge.

Bryman, A. (2016). Social research methods. Oxford university press.

Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.

Esterberg, K. G. (2002). Qualitative methods in social research. McGraw-Hill Book Co Inc.

Idkhan, A. M., & Idris, M. M. (2021). Dimensions of Students Learning Styles at The University with The Kolb Learning Model. International Journal of Environment, Engineering & Education, 3(2), 75–82.

Idkhan, A. M., & Idris, M. M. (2023). The Impact of User Satisfaction in the Use of E-Learning Systems in Higher Education: A CB-SEM Approach. International Journal of Environment, Engineering and Education, 5(3), 100–110.

Kvale, S., & Brinkmann, S. (2009). Interviews: Learning the craft of qualitative research interviewing. sage.

Marshall, C., & Rossman, G. B. (2014). Designing qualitative research. Sage publications.

McCombes, S. (2022). Descriptive Research: Definition, Types, Methods & Examples (Vol. 10). Scribbr. www.scribbr.com/methodology/descriptive-research/

Ritzer, G., & Stepnisky, J. (2021). Sociological theory. Sage Publications.

Ryan, M., & Ryan, M. (2013). Theorizing a model for teaching and assessing reflective learning in higher education. Higher Education Research & Development, 32(2), 244–257.

Salkind, N. J. (2010). Encyclopedia of research design. Sage publications.

Schensul, S. L., Schensul, J. J., & LeCompte, M. D. (1999). Essential ethnographic methods: Observations, interviews, and questionnaires (Vol. 2). Rowman Altamira.

Suarlin, S., Negi, S., Ali, M. I., Bhat, B. A., & Elpisah, E. (2021). The Impact of Implication Problem Posing Learning Model on Students in High Schools. International Journal of Environment, Engineering and Education, 3(2), 69–74. https://doi.org/10.55151/ijeedu.v3i2.61

Taylor, S. J., Bogdan, R., & DeVault, M. (2015). Introduction to qualitative research methods: A guidebook and resource. John Wiley & Sons.

Tracy, S. J. (2019). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact. John Wiley & Sons.

Wyss, M. C., Qargha, G. O., Arenge, G., Mukoyi, T., Elliott, M., Matsheng, M., & Clune, K. (2023). Adapting, Innovating, and Scaling Foundational Learning: Four Lessons from Scaling Teaching at the Right Level in Botswana. Center for Universal Education at The Brookings Institution.

Published

2024-04-30

How to Cite

Salam, A., Daeng, K., & Hartini, H. (2024). Understanding the Teaching at The Right Level (TaRL) Model’s Impact on High School Economics Curriculum and Performance. Journal of Social Sustainability Impact, 2(1), 36-45. Retrieved from https://ojs.unpatompo.ac.id/index.php/jssi/article/view/351

Issue

Section

Research Articles