Graduate-Level Students’ Statistical Skills in Bataan Peninsula State University: Assessment and Programmatic Recommendations
DOI:
https://doi.org/10.54536/ajet.v4i2.4887Keywords:
Data Presentation, Data Visualization, Mathematical Knowledge, Statistical LiteracyAbstract
The study determined the statistical skills of graduate students at the Bataan Peninsula State University from the Academic Year 2018 to 2022. In addition, the questionnaire was organized into sections. The first section focused on gathering the profiles of those who responded. This included the respondents’ age, sex, and nature of work. The second part consisted of multiple-choice questions that determined the level of statistical skills in terms of statistical literacy and mathematical knowledge. The third part contained data visualization and presentation. The results show that the biggest percentage of respondents is in the age group of 22 to 27. Regarding their sex, more than half of the total respondents are female. Many respondents are in the teaching profession in line with their nature of work. Furthermore, the results have shown that the statistical skill with the highest rating is Mathematical Knowledge, followed by Statistical Literacy, and the indicator with the lowest rating is Data Visualization and Presentation. The evaluation suggests that those taking the survey should have basic statistical knowledge. Additionally, there’s no connection between the respondents’ statistical skills and their profiles. In connection with this, a program enhancement has been proposed based on the study’s outcomes. The following recommendations were presented: Graduate School students should undergo training, seminars, and workshops to improve their statistics skills further.
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Abd Jalal, A. (2023). Statistical literacy of education policy makers: A PLS-SEM approach. Malaysian Online Journal of Educational Sciences, 11(2), 1–12.
Abidin, Y. (2017). Developing literacy learning model based on multi-literacy, integrated, and differentiated concepts at primary school. Jurnal Cakrawala Pendidikan, 36(2), 156–166. https://doi.org/10.21831/cp.v36i2.13283
Amaran, M. A., Puat, P. A. A., Hamzah, M. S., & Bakar, N. F. N. A. (2022). An analyzing on statistical data analysis skill needs among graduates. Malaysian Journal of Social Sciences and Humanities, 7(8), e001671. https://doi.org/10.47405/mjssh.v7i8.1671
Aziz, A. (2021). A systematic literature review on developing students’ statistical literacy skills. Journal of Physics: Conference Series, 1806(1), 012102. https://doi.org/10.1088/1742-6596/1806/1/012102
Batanero, C., & Díaz, C. (2010). Training teachers to teach statistics: What can we learn from research? Statistique Et Enseignement, 1(1), 5–20. http://publications-sfds.fr/index.php/StatEns/article/view/3/0
Bilgin, E. A. (2021). Developing a mobile application to improve the levels of statistical literacy among graduate students. International Journal of Education and Literacy Studies, 9(4), 113. https://doi.org/10.7575/aiac.ijels.v.9n.4p.113
Callingham, R. (2017). The development of statistical literacy at school. Statistics Education Research Journal, 16(1), 181–201. https://doi.org/10.52041/serj.v16i1.223
Commission on Higher Education (CHED). (2019). CHED Memorandum Order No. 15, Series of 2019: Policies, standards, and guidelines for graduate programs. Retrieved from https://ched.gov.ph/
Daguplo, M. S. (2019). Tracking the employment and employability characteristics of the graduates of the college of teacher education. Asia Pacific Journal Multidisciplinary Research, 7(2), 67–74.
Dangprasert, S. (2021). Effects on using tutoring application in integration with self-directed learning to improve statistical analysis skills. TEM Journal, 10(1), 63–68. https://doi.org/10.18421/tem101-08
Engel, J. (2017). Statistical literacy for active citizenship: A call for data science education. Statistics Education Research Journal, 16(1), 44–49. https://doi.org/10.52041/serj.v16i1.213
Franklin, C., Bargagliotti, A., Case, C., Kader, G., Scheaffer, R., & Spangler, D. (2007). Guidelines for assessment and instruction in statistics education (GAISE) report: A Pre-K–12 curriculum framework. American Statistical Association. https://www.amstat.org/asa/files/pdfs/GAISE/GAISEPreK-12_Full.pdf
Gal, I. (2002). Adults’ statistical literacy: Meanings, components, responsibilities. International Statistical Review, 70(1), 1–51.
Gould, R. (2017). Data literacy is statistical literacy. Statistics Education Research Journal, 16(1), 22–25. https://doi.org/10.52041/serj.v16i1.209
Gunderson, E. A., Ramirez, G., Levine, S. C., & Beilock, S. L. (2018). The role of parents and teachers in the development of gender-related math attitudes. Sex Roles, 59(1–2), 152–166.
Hansen, R. S., McCann, J., & Myers, J. L. (1985). Rote versus conceptual emphases in teaching elementary probability. Journal for Research in Mathematics Education, 16(5), 364–374. https://doi.org/10.5951/jresematheduc.16.5.0364
Kim, D. E., Kang, P. L., & Lee, M. H. (2019). Analysis of preservice mathematics teachers’ statistical literacy in lesson plan. East Asian Mathematical Journal, 35(4), 429–449. http://dx.doi.org/10.7858/eamj.2019.036
Mittag, J. H. (2010). Promoting statistical literacy: A European pilot project to bring official statistics into university and secondary school classrooms. International Conference on Teaching Statistics (ICOTS-8), Ljubljana, Slovenia.
Nahdi, D. S. (2021). Statistical literacy analysis of pre-service elementary teachers education. Journal of Physics: Conference Series, 1764(1), 012126.
Nurgiyantoro, B., Lestyarini, B., & Rahayu, D. H. (2020). Mapping junior high school students’ functional literacy competence. Jurnal Cakrawala Pendidikan, 39(3), 560–572. https://doi.org/10.21831/cp.v39i3.34061
Pamungkas, A. S. (2020). The analysis of student’s statistical literacy based on prior knowledge and mathematical self-esteem. Journal for the Mathematics Education and Teaching Practices, 1(1), 43–51. https://dergipark.org.tr/en/download/article-file/1189693
Reston, E. (2020). Assessing statistical literacy in graduate level statistics education. The International Statistical Institute. http://iase-web.org/documents/papers/isi55/Reston.pdf
Sharma, S. (2017). Definitions and models of statistical literacy: A literature review. Open Review of Educational Research, 4(1), 118–133. https://doi.org/10.1080/23265507.2017.1354313
Siew, C. S. (2019). Using network science to understand statistics anxiety among college students. Scholarship of Teaching and Learning in Psychology, 5(1), 75–89. https://doi.org/10.1037/stl0000133
Syed, Q., & Choudhury, J. (2023). Statistical analysis and employability skills equation for graduate students in the Bahamas. Annals of Social Sciences & Management Studies, 9(3). https://doi.org/10.19080/asm.2023.09.555765
Tiro, M. A. (2017). Teaching statistics in Indonesian school: Today and future. ISI Regional Statistics Conference.
Tutkun, T. (2019). Statistics anxiety of graduate students. International Journal of Progressive Education, 15(5), 32–41. https://doi.org/10.29329/ijpe.2019.212.3
Utari, R. S., Amalia, L., & Rohman, R. (2023). How can TPACK support the statistical literacy skills of mathematics students’ teachers? Aksioma: Jurnal Program Studi Pendidikan Matematika, 12(1), 657. https://doi.org/10.24127/ajpm.v12i1.6335
Utomo, D. P. (2021). An analysis of the statistical literacy of middle school students in solving TIMSS problems. International Journal of Education in Mathematics, Science and Technology, 9(2), 181–197. https://doi.org/10.46328/ijemst.1552
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