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Christiaan Huygensstraat 44, Zipcode:7533XB, Enschede, THE NETHERLANDS
Research Article

The Use of PSPP Software in Learning Statistics

Minerva Sto.-Tomas , Darin Jan Tindowen , Marie Jean Mendezabal , Pyrene Quilang , Erovita Teresita Agustin

This descriptive and correlational study investigated the effects of using PSPP in learning Statistics on students’ attitudes and performance. T.

T

This descriptive and correlational study investigated the effects of using PSPP in learning Statistics on students’ attitudes and performance. The respondents of the study were 200 Grade 11 Senior High School students who were enrolled in Probability and Statistics subject during the Second Semester of School Year 2018-2019. The respondents were randomly selected from those classes across the different academic strands that used PSPP in their Probability and Statistics subject through stratified random sampling. The results revealed that the students have favorable attitudes towards learning Statistics with the use of the PSPP software.  The students became more interested and engaged in their learning of statistics which resulted to an improved academic performance.

Keywords: Probability and statistics, attitude, PSPP software, academic performance, technology.

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References

Anastasiadou, S. D. (2011). Reliability and validity testing of a new scale for measuring attitudes toward learning statistics with technology. Acta Didactica Napocensia4(1), 1-10.

Barkatsas, A. (2005). A new scale for monitoring students’ attitudes to learning mathematics with technology (MTAS). Building connections: Theory, research and practice1(1), 129-137.

Basturk, R. (2005). The effectiveness of computer-assisted instruction in teaching introductory statistics. Journal of Educational Technology & Society8(2), 170-178.

Bennett, S., & Maton, K. (2010). Beyond the ‘digital natives’ debate: Towards a more nuanced understanding of students' technology experiences. Journal of computer assisted learning26(5), 321-331.

Chick, H. L., & Pierce, R. (2008). Chick, H. L., & Pierce, R. (2008). Teaching statistics at the primary school level: Beliefs, affordances and pedagogical content knowledge. In ICMI study 18 and 2008 IASE round table conference (Vol. 1, pp. 1-6).

Davies, N. (2001). A new way to teach statistics to engineers. MSOR Connections1(2), 7-9.

Dorofeev, S., & Grant, P. (2006). Statistics for real-life sample surveys: Non-simple-random samples and weighted data. Cambridge, England: Cambridge University Press.

Farooq, M. S., & Shah, S. Z. U. (2008). Students ‘attitude towards mathematics. Pakistan Economic and Social Review, 46(1), 75-83.

Ferrara, F., Pratt, D., & Robutti, O. (2006). The role and uses of technologies for the teaching of algebra and calculus: Ideas discussed at PME over the last 30 years. In A. Gutierrez & Boero, P. (Eds.), Handbook of research on the psychology of mathematics education (pp. 237-273). Boston, MA: Sense Publishers.

Gal, I., Ginsburg, L., & Schau, C. (1997). Monitoring attitudes and beliefs in statistics education. The assessment challenge in statistics education12(1), 37-51.

Gattuso, L., & Pannone, M. A. (2002). Teachers’ training in a statistic teaching experimentation. In B. Phillips (Ed.), Proceedings of the Sixth International Conference on Teaching Statistics (pp. 1-6). Town, South Africa: International Statistical Institute and International Association.

Gigerenzer, G., Gaissmaier, W., Kurz-Milcke, E., Schwartz, L. M., & Woloshin, S. (2007). Helping doctors and patients make sense of health statistics. Psychological science in the public interest8(2), 53-96.

Helsper, E. J., & Eynon, R. (2010). Digital natives: where is the evidence? British educational research journal36(3), 503-520.

Higazi, S. M. (2002). Teaching statistics using technology. Paper presented at the International Conference in Teaching Statestics, Cape Town, South Africa.

Hohenwarter, M., Hohenwarter, J., Kreis, Y., & Lavicza, Z. (2008). Teaching and learning calculus with free dynamic mathematics software GeoGebra. Paper presented at the 11th International Congress on Mathematical Education. Monterrey, Nuevo Leon, Mexico.

Kennedy, G. E., Judd, T. S., Churchward, A., Gray, K., & Krause, K. L. (2008). First year students' experiences with technology: Are they really digital natives? Australasian Journal of Educational Technology24(1), 108-122.

Kolikant, Y. B. D. (2010). Digital natives, better learners? Students’ beliefs about how the Internet influenced their ability to learn. Computers in Human Behavior26(6), 1384-1391.

Lee, H. S., & Hollebrands, K. F. (2011). Characterising and developing teachers’ knowledge for teaching statistics with technology. In C. Batanero, Burril, G., & Reading, C. (Eds.), Teaching statistics in school mathematics-challenges for teaching and teacher education (pp. 359-369). New York, NY: Springer Publishing.

Libman, Z. (2010). Integrating real-life data analysis in teaching descriptive statistics: A constructivist approach. Journal of Statistics Education18(1),  1-23. 

Lloyd, S. A., & Robertson, C. L. (2012). Screencast tutorials enhance student learning of statistics. Teaching of Psychology39(1), 67-71.

Martin, F., & Ertzberger, J. (2013). Here and now mobile learning: An experimental study on the use of mobile technology. Computers & Education68(1), 76-85.

Masrom, M. (2007). Technology acceptance model and e-learning. Technology21(24), 81.

Mata, M. D. L., Monteiro, V., & Peixoto, F. (2012). Attitudes towards mathematics: Effects of individual, motivational, and social support factors. Child Development Research, 2012, 1-10.

Mendezabal, M. J. N., & Tindowen, D. J. C. (2018). Improving students' attitude, conceptual understanding and procedural skills in differential calculus through Microsoft mathematics. Journal of Technology and Science Education, 8(4), 385-397.

Mills, J. D. (2004). Students ‘attitudes toward statistics: Implications for the future. College Student Journal38(3), 349-361.

Mills, J. D., & Raju, D. (2011). Teaching statistics online: A decade's review of the literature about what works. Journal of Statistics Education19(2), 1-28.

Mohamed, L., & Waheed, H. (2011). Secondary students’ attitude towards mathematics in a selected school of Maldives. International Journal of Humanities and Social Science1(15), 277-281.

Mushtaq, I., & Khan, S. N. (2012). Factors affecting students’ academic performance. Global journal of management and business research12(9), 1-7.

Orleans, A. V. (2007). The condition of secondary school physics education in the Philippines: Recent developments and remaining challenges for substantive improvements. The Australian Educational Researcher34(1), 33-54.

Osborne, J., Simon, S., & Collins, S. (2003). Attitudes towards science: A review of the literature and its implications. International journal of science education25(9), 1049-1079.

Pan, W. S. (2003). The challenges of teaching statistics in the current technology environment. Journal of American Academy of Business, Cambridge3(1-2), 351-351.

Pfaff, B., Darrington, J., Stover, J., Satman, M. H., & Beckmann, F. (2007). GNU PSPP Statistical Analysis Software: Release 0.9. Boston, MA: Free Software Foundation.

Pierce, R., & Chick, H. (2011). Teachers’ beliefs about statistics education. In C. Batanero, Burrill, G., & Reading, C. Teaching statistics in school mathematics-Challenges for teaching and teacher education (pp. 151-162). New York, NY: Springer Publishing.

Pratt, D., Davies, N., & Connor, D. (2011). The role of technology in teaching and learning statistics. In C. Batanero, Burrill, G., & Reading, C. Teaching statistics in school mathematics-Challenges for teaching and teacher education (pp. 97-107). New York, NY: Springer Publishing.

Prenksy, M. (2001). Digital Natives, Digital Immigrants. On the Horizon, 9(5), 1-6.

Reid, A., & Petocz, P. (2002). Students' conceptions of statistics: A phenomenographic study. Journal of Statistics Education10(2), 1-18. doi:10.1080/10691898.2002.11910662 

Romeu, J. L. (2006, July). Teaching engineering statistics to practicing engineers. Paper presented at the 7th International Conference on Teaching Statistics, Kuala Lumpur, Malaysia.

Sampson, D., & Fytros, D. (2008). Competence models in technology-enhanced competence-based learning. In Handbook on information technologies for education and training (pp. 155-177). Berlin, Germany: Springer.

Shin, N., Sutherland, L. M., Norris, C. A., & Soloway, E. (2012). Effects of game technology on elementary student learning in mathematics. British journal of educational technology43(4), 540-560.

Spinelli, M. A. (2001). The use of technology in teaching business statistics. Journal of Education for Business77(1), 41-44.

Stout, J. G., Dasgupta, N., Hunsinger, M., & McManus, M. A. (2011). STEMing the tide: using ingroup experts to inoculate women's self-concept in science, technology, engineering, and mathematics (STEM). Journal of personality and social psychology100(2), 255-270.

Suanpang, P., Petocz, P., & Kalceff, W. (2004). Student attitudes to learning business statistics: Comparison of online and traditional methods. Educational Technology & Society7(3), 9-20.

Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007). Using multivariate statistics (Vol. 5). Boston, MA: Pearson.

Tabunda, A. (2006). Some aspects of the teaching of statistics in the Philippines. The Philippine Statistician55(3-4), 43-54.

Thomas, M. O., & Holton, D. (2003). Technology as a tool for teaching undergraduate mathematics. . In C. Batanero, Burrill, G., & Reading, C. Teaching statistics in school mathematics-Challenges for teaching and teacher education (pp. 351-394). New York, NY: Springer Publishing.

Thompson, P. (2013). The digital natives as learners: Technology use patterns and approaches to learning. Computers & Education65(1), 12-33.

Tseng, K. H., Chang, C. C., Lou, S. J., & Chen, W. P. (2013). Attitudes towards science, technology, engineering and mathematics (STEM) in a project-based learning (PJBL) environment. International Journal of Technology and Design Education23(1), 87-102.

Ursini, S., & Sánchez, G. (2008). Gender, technology and attitude towards mathematics: a comparative longitudinal study with Mexican students. ZDM40(4), 559-577.

Vannatta, R. A., & Nancy, F. (2004). Teacher dispositions as predictors of classroom technology use. Journal of Research on Technology in Education36(3), 253-271.

Veney, J. E., Kros, J. F., & Rosenthal, D. A. (2009). Statistics for health care professionals: working with Excel (Vol. 9). Hoboken, NJ: John Wiley & Sons.

Volk, K., Yip, W. M., & Lo, T. K. (2003). Hong Kong pupils' attitudes toward technology: The impact of design and technology programs. Journal of technology education15(1), 48-63.

Wit, E. (2003). Who wants to be… The use of a personal response system in statistics teaching. MSOR connections3(2), 14-20.

Zhang, Y., Shang, L., Wang, R., Zhao, Q., Li, C., Xu, Y., & Su, H. (2012). Attitudes toward statistics in medical postgraduates: measuring, evaluating and monitoring. BMC Medical Education12(1), 117-125.

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