Evaluate the Effectiveness of PARST Educational Tool

Main Article Content

Arthit Laphirattanakul
Suwicha Wannawichian
Pornrat Wattanakasiwich

Abstract

The Planets Approximating of Rising and Setting Time (PARST) educational tool was designed and constructed in our previous work with the intention to enhance students’ learning experience about planetary motion. This research aimed to evaluates PARST’s learning effectiveness across three student groups in the classroom; these groups are (1) a group using only PARST, (2) a group taught about planetary motion without using PARST, and (3) a group taught about the planet motion and using PARST. The pre-test and post-test, with questions designed based on the elements of Bloom’s taxonomy, were used to evaluate the three student groups. The four methods for evaluating pre-test and post-tests results are (a) hypothesis testing, (b) effective size, (c) normalized gain, and (d) difficulty level. The four evaluation methods show the same pattern of highest efficiency in the group of students who using PARST educational tool only, without taking lecture about planetary motion. These results imply that the use of PARST educational tool without studying rising and setting times of planets can encourage students to develop an understanding about planetary motion.

Article Details

Section
บทความวิจัย (Research Article)

References

Abdulwahed, M., & Nagy, Z. (2009). Applying Kolb's Experiential Learning Cycle for Laboratory Education. Journal of Engineering Education, 98.

Bakas, C., & Mikropoulos, T. (2003). Design of virtual environments for the comprehension of planetary phenomena based on students' ideas. International Journal of Science Education, 25, 949 - 967.

Bardar, E. M. (2007). First results from the light and spectroscopy concept. Astronomy Education Review, 6(2), 75-84.

Barnett, M. L., & Mathisen, A. (1997). Tyranny of the p-value: the conflict between statistical significance and common sense. Journal of dental research, 76(1), 534–536.

Bloom, B. S. (1956). Taxonomy of educational objectives. Longman green and co LTD, England.

Boopathiraj, C., & Chellamani, D.K. (2013). Analysis of test items on difficulty level and discrimination index in the test for research in education. International Journal of Social Sciences & Interdisciplinary Research, 2, 189-193.

Coe, R. (2012). It's the Effect Size, Stupid What effect size is and why it is important. Paper Presented at the British Educational Research Association Annual Conference, Exeter, England, UK. 2002

Cohen, A. (2022). Teaching the astronomical visualization used for the explanation of the ancient Ein-Gedi archaeological zodiac and its related inscription. Journal of Astronomy & Earth Sciences Education, 9(2), 25–38.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associate, New York.

Galano, S., Colantonio, A., Leccia, S., Marzoli, I., Puddu, E., & Testa, I. (2018). Developing the use of visual representations to explain basic astronomy phenomena. Physical Review Physics Education Research, 14(1), 010145

Hake, R. R. (1998). Interactive-engagement vs traditional methods: A six-thousand student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1), 64-74.

Karaksha, A., Grant, G.D., Nirthanan, S., Davey, A.K., & Anoopkumar‐Dukie, S. (2014). A Comparative Study to Evaluate the Educational Impact of E-Learning Tools on Griffith University Pharmacy Students’ Level of Understanding Using Bloom’s and SOLO Taxonomies. Education Research International, 2014 (2014): 934854-1-934854-11.

Laphirattanakul, A., Wannawichian, S. & Wattanakasiwich, P. (2024). PARST educational tool for planet positioning. The Physics Teacher, 62(4), 272-277.

Nakagawa, S., & Cuthill, I. C. (2007). Effect size, confidence interval and statistical significance: a practical guide for biologists. Biological reviews of the Cambridge Philosophical Society, 82(4), 591–605.

Neyman, J. & Pearson, E. S. (1933). On the problem of the most efficient tests of statistical hypotheses. Springer Series in Statistics. Springer, New York, NY.

Ole, F. C. B. (2020). Effect of a developed physics laboratory manual on the conceptual understanding of industrial technology student. European Journal of Education Studies, 7(6), 113-122.

Peralta, J., Prieto, J. A., Orozco-Sáenz, P., González, J., Trujillo, G., Torres, L., Sánchez, A. & Arnedo, M. (2023). Secondary school students observe Venus with NASA Infrared Telescope Facility (IRTF), Research Notes of the AAS, 7(3), 53-57.

Plummer, J.D. (2014). Spatial thinking as the dimension of progress in an astronomy learning progression. Studies in Science Education. 50(1), 1-45.

Rakap, S. (2015). Effect sizes as result interpretation aids in single-subject experimental research: description and application of four non overlap method. British Journal of Special Education, 42(1), 11-33.

Ruangsuwan, C. & Arayathanitkul, K. (2009). A low-cost celestial globe for hands-on astronomy. Physics Educucation, 44(5), 503-508.

Seidel, T., & Shavelson, R. J. (2007). Teaching effectiveness research in the past decade: The role of theory and research design in disentangling meta-analysis results. Review of educational research, 77(4), 454-499

Srisawasdi, N. (2018). Transforming chemistry class with technology-enhanced active inquiry learning for the digital native generation. In C. Cox & W. Schatzberg (Eds.) International Perspectives on Chemistry Education Research and Practice (pp. 221–233). ACS Symposium Series 1142, American Chemical Society: Washington, DC.

Stover, S., & Saunders, G. (2000). Astronomical misconceptions and the effectiveness of science museums in promoting conceptual change. Journal of Elementary Science Education, 12, 41-51.

Sullivan, G. M. & Feinn, R. (2012). Using Effect Size-or Why the P Value Is Not Enough. Journal of Graduate Medical Education, 4(3), 279-282.

Woods, M. & Rosenberg, M. E. (2016). Educational tools: Thinking outside the box. Clinical Journal of the American Society of Nephrology, 11(3), 518-526.

Xu, M., Fralick, D., Zheng, J. Z., Wang, B., Tu, X. M. & Feng, C. (2017) The Differences and Similarities Between Two-Sample T-Test and Paired T-Test. Shanghai Arch Psychiatry, 29(3), 184-188.