HomeAsia-Pacific Journal of Advanced Research and Innovationvol. 1 no. 1 (2025)

Enhancing Student'S Performance And Attitude In Statistics Through The Use Of Jamovi Software

Erovita Teresita Agustin | Kastin Joyce Ibay | Karla Mae Lagua | Jessa Mae Mabborang | Joed Xyril Maguas | Romnick Mangusib | Jovie Jane Sabiano

Discipline: Statistics

 

Abstract:

The study assessed the effectiveness of the JAMOVI software in improving the attitude and academic performance of students in Statistics. A quasi- experimental and descriptive methods was involved. The study reveals that JAMOVI Statistical Software significantly enhances students' performance and attitudes in statistics education. The intervention resulted in notable improvements in academic performance, with the experimental group achieving higher posttest scores than the control group. Additionally, the intervention led to positive changes in students' attitudes towards statistics, increasing their confidence in statistical and technological competencies. These findings highlight the potential of technology-based tools like JAMOVI to improve statistics education by providing engaging, hands-on learning experiences and fostering a more positive learning environment. The significant improvement in both performance and attitude underscores the value of integrating modern statistical software into the curriculum to better support students' learning outcomes.



References:

  1. Ahmed, A. A., & Muhammad, R. A. (2021, July). A Beginners Review of Jamovi Statistical Software for Economic Research. Retrieved from https://www.researchgate.net/publication/354077071_A_Beginners_Review_of_Jamovi_Statistical_Software_for_Economic_Research
  2. Al-Labadi, L., & Sant, S. (2021). Enhance Learning Experience Using Technology in Class. Journal of Technology and Science Education, 11(1), 44-52. DOI: 10.3926/jotse.1050. Retrieved from https://files.eric.ed.gov/fulltext/EJ1303230.pdf
  3. Burckhardt, P., Nugent, R., & Genovese, C. R. (2021). Teaching Statistical Concepts and Modern Data Analysis With a Computing-Integrated Learning Environment. Journal of Statistics and Data Science Education, 29(sup1), S61–S73. DOI: 10.1080/10691898.2020.1854637
  4. Dayta, D. (2022). Developing a Localized and Context-Driven Approach for Improving the Instruction of Statistics and Probability in the Secondary Level in the Philippines. Retrieved April 27, 2024, from https://www.semanticscholar.org/paper/Developing-a-Localized-and-Context-Driven-Approach-Dayta/cd08af13f151588e7d08f3379d6f9aa60ad18551
  5. Ginsberg, L. H., & Rubin, A. (2021). Active Learning Approaches in Statistics Education: A Review of the Literature. Journal of Statistics Education, 29(3), 225-235.
  6. Jun, S. (2021). Technology Integration and Analysis Using Boosting and Ensemble. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), Article 27. DOI: 10.3390/joitmc7010027. Retrieved from https://www.sciencedirect.com/science/article/pii/S219985312200796X
  7. Karim, S., & Zoker, E. M. (2023). Technology in Mathematics Teaching and Learning: An Impact Evaluation in Selected Senior Schools in Masingbi Town. Assyfa Learning Journal1(2), 60-72.
  8. Kemp, A., Palmer, E., & Strelan, P. (2019). A taxonomy of factors affecting attitudes towards educational technologies for use with technology acceptance models. British Journal of Educational Technology50(5), 2394-2413.
  9. Liu, M. (2022, November). The Relationship between Students' Study Time and Academic Performance and its Practical Significance. BCP Education & Psychology, 7, 412-415. DOI: 10.54691/bcpep.v7i.2696. Retrieved from https://www.researchgate.net/publication/366691380_The_Relationship_between_Students'_Study_Time_and_Academic_Performance_and_its_Practical_Significance
  10. Mahmud, Z., Ismail, N., & Zainol, M. S. (2018, December 31). The Effects of Attitudes Towards Statistics, Perceived Ability, Learning Practices and Teaching Practices on Students’ Performance in Statistics: A Review. Journal of the International Institute of Islamic Thought and Civilization. https://www.researchgate.net/publication/356785885_The_Effects_of_Attitudes_Towards_Statistics_Perceived_Ability_Learning_Practices_and_Teaching_Practices_on_Students'_Performance_In_Statistics_A_Review
  11. Mdhlalose, D., & Mlambo, G. (2023, July). Integration of Technology in Education and its Impact on Learning and Teaching. Asian Journal of Education and Social Studies, 47(2), 54-63. DOI: 10.9734/AJESS/2023/v47i21021. Retrieved from https://www.researchgate.net/publication/372478475_Integration_of_Technology_in_Education_and_its_Impact_on_Learning_and_Teaching
  12. Noskievicova, D. (2018, November). APSS – Software Support for Decision Making in Statistical Process Control. Quality Innovation Prosperity, 22(3), 19. DOI: 10.12776/qip.v22i3.1141. Retrieved from https://www.researchgate.net/publication/332199228_APSS_-_Software_Support_for_Decision_Making_in_Statistical_Process_Control
  13. Obrial, J. T., & [author]. (2020). The Use of Statistical Investigation in Assessing Students' Performance in Statistics. Retrieved from https://www.researchgate.net/publication/358182431_The_Use_of_Statistical_Investigation_in_Assessing_Students'_Performance_in_Statistics
  14. Ozgur, C., Kleckner, M., & Li, Y. (2015). Selection of Statistical Software for Solving Big Data Problems: A Guide for Businesses, Students, and Universities. Sage Open, 5(2). https://doi.org/10.1177/2158244015584379
  15. Savulescu, C. (2018). A Computer Tool for Statistical Analysis. 2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 1-4. Retrieved from https://www.semantics