Home⇛Psychology and Education: A Multidisciplinary Journal⇛vol. 27 no. 3 (2024)

Attitude Towards Quipper And Basic Computer Skills: Predictors Of Science Performance

Jenifer Cabanducos

Discipline: Computer Science

 

Abstract:

During the COVID 19 pandemic, most schools implemented flexible learning with the help of the quipper platform due to the suspension of face-to-face classes. The primary purpose of this study was to seek a variable that best predicts pupils’ academic performance in science. The sample size of 102 participants was selected using proportionate stratified random sampling. The descriptive correlational and causal design was employed in this study. Based on the data gathered, Grades 4, 5, and 6 levels have a highly positive overall mean level of pupils’ Attitude towards Quipper regarding references and assignments and uses, respectively. Respondents have a proficient level of computer skills in terms of General Windows, and advanced level on Microsoft Word, Internet and Email, and Excel and Spreadsheet. The level of the Students’ Academic Performance in Science was described as very satisfactory. The Attitude towards Quipper in terms of references and assignments and Computer skills in MS Word has a positive significant relationship to pupils’ academic performance in science. As to the Attitude in uses, Computer skills in MS Word and Computer skills in MS Excel/ Spreadsheet, indicated that these variables are significant predictors with Attitude in uses being the best predictor.



References:

  1. Agustina, E., & Cahyono, B. Y. (2017). Perceptions of Indonesian teachers and students on the use of Quipper School as an online platform for extended EFL learning. Journal of Language Teaching and Research, 8(4), 794-800. https://doi.org/10.17507/jltr.0804.20
  2. Ainley, J., Schulz, W., Fraillon, J., & Gebhardt, E. (2016). Conceptualizing and measuring computer and information literacy in cross-national contexts. Applied Measurement in Education, 29(4), 291-309. https://bit.ly/3PeXgwe
  3. Ally, M. (2008). Foundation of educational theory for online learning. In T. Anderson (Ed.), The Theory and Practice of Online Learning (pp. 17-44). AU Press.
  4. Anohina, A. (2015). Analysis of the terminology used in the field of virtual learning. Journal of Educational Technology & Society, 8(3), 91–102.
  5. Bang, S., Kanokkarnkittichartchaowalit, & Saekhow, J. (2017). Effects of Quipper School program based on local contents in Surat Thani province to enhance English listening skill of Matthayomsuksa V students. International Journal of Management and Applied Science, 3(1).
  6. Beltran-Cruz, M., & Cruz, S. B. B. (2013). The use of internet-based social media as a tool in enhancing student's learning experiences in biological sciences. Higher Learning Research Communications, 3(4), 68-80.
  7. Bergeron, D. (2011). The impact of attendance in supplemental educational services on students' academic achievement (Doctoral dissertation). ProQuest Dissertations and Theses.
  8. Burdina, G., Krapotkina, I., & Nasyrova, L. (2019). Distance learning in elementary school classrooms: An emerging framework for contemporary practice. International Journal of Instruction, 12(1), 1-16. https://doi.org/10.29333/iji.2019.1211a
  9. Cadiz-Gabejan, A. M., & Takenaka, M. J. C. (2021). Students’ computer literacy and academic performance. Journal of World Englishes and Educational Practices, 3(6), 29-42. https://doi.org/10.32996/jweep.2021.3.6.4
  10. Cakrawati, L. M. (2017). Students’ perceptions on the use of online learning platforms in EFL classroom. English Language Teaching and Technology Journal (ELT-Tech Journal, 1(1), 22-30. https://bit.ly/3IJyv95
  11. Claro, M., Preiss, D., San Martin, E., Jara, I., Hinostroza, J. E., Valenzuela, S., Cortes, F., & Nussbaum, M. (2012). Assessment of 21st century ICT skills in Chile: Test design and results from high school level students. Computers and Education, 59(4), 1042-1053. https://doi.org/10.1016/j.compedu.2012.04.004
  12. David, L. (2015, December). E-learning theory (Mayer, Sweller, Moreno). Learning Theories. https://www.learning-theories.com/e-learning-theory-mayer-sweller-moreno.html
  13. Department of Education. (2019). Secretary Briones’ speech on the launch of Sulong Edukalidad. https://bit.ly/3lA0rkb
  14. Diva, I., Etfita, F., & Ahyuni, S. (2022). Students’ perceptions of learning platform: The advantages and disadvantages of Quipper School. J-SHMIC Journal of English for Academic, 9(1), 22-30. https://doi.org/10.25299/jshmic.2022.vol9(1).9038
  15. Dyquiangco, E. V. (2017). From London to Tokyo to Manila: Quipper exec brings local learning online. Business Mirror. https://bit.ly/3c9stzX
  16. Edmunds, J., Bernstein, L., Glennie, E., Willse, J., Arshavsky, N., Unlu, F., & Dallas, A. (2010). Preparing students for college: The implementation and impact of the early college high school model. Peabody Journal of Education, 85(3), 348-364.
  17. El Iq Bali, M. M., & Musrifah, M. (2020). The problems of application of online learning in the affective and psychomotor domains during the Covid-19 pandemic. Jurnal Pendidikan Agama Islam, 17(2), 20-30. https://doi.org/10.14421/jpai.2020.172-03
  18. Espineli, N., & Rodil, M. M. (2019). Quipper School: Its impact on the academic performance in Science of the selected Grade 10 students of TMCNHS. Ascendens Asia Journal of Multidisciplinary Research Abstracts, 3(2). https://bit.ly/3aHYAIM
  19. Grant, D. M., Malloy, A. D., & Murphy, M. C. (2009). A comparison of student perceptions of their computer skills to their actual abilities. Journal of Information Technology Education, 8(1), 22-30.
  20. Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 38-43. https://bit.ly/3uS2gif
  21. Heinrich, C., Meyer, R., & Whitten, R. (2009). Supplemental education services under No Child Left Behind: Who signs up, and what do they gain? University of Wisconsin-Madison, School of Public Affairs.
  22. Ibayan, D. (2021). PH the only Southeast Asian country with declining literacy. The Manila Times. https://bit.ly/3Q9hSGn
  23. Johnson, T. A. (2019). A case study of international middle schoolers' control in their blended learning experiences in China (Doctoral dissertation). ProQuest Dissertations & Theses Global. https://www.proquest.com/dissertations-theses/case-study-international-middle-schoolers-control/docview/2217555400
  24. Kidwell, C. (2010). The impact of learning student engagement. Leadership Journal, 28-31.
  25. Kim, J., & Chang, J. (2010). Do governmental regulations for cram schools decrease the number of hours students spend on private tutoring? KEDI Journal of Educational Policy, 7(1), 3-21.
  26. Komba, C., & David, S. (2016). The use of computers by primary school pupils in Morogoro, Tanzania. International Journal of Research Studies in Educational Technology, 5(2), 22-30. https://doi.org/10.5861/ijrset.2016.1431
  27. Lee, J., & Martin, L. (2017). Investigating students’ perceptions of motivating factors of online class discussions. International Review of Research in Open and Distributed Learning, 18(5), 22-30.
  28. Mertler, C. A. (2014). The Data-Driven Classroom: How do I use student data to improve my instruction? ASCD.
  29. Pappas, C. (2014). Instructional design models and theories: Computer-based instruction theory. eLearning Industry. https://bit.ly/3r5widw
  30. Pitagan, F. B. (2017). Quipper School contributes to higher test score, attendance rate and assignment submission in teaching mathematics. DLSU Research Congress 2017. https://bit.ly/2YBueN1
  31. Saptani, D. A. (2017). Teachers’ perception towards the use of Quipper School in teaching English. Advances in Social Science, Education and Humanities Research, 82, 233-235.
  32. Sarfraz, M., Hussain, G., Shahid, M., Riaz, A., Muavia, M., Yahya, S. F., & Mohammad, T. A. (2022). Medical students’ online learning perceptions, online learning readiness, and learning outcomes during COVID-19: The moderating role of teacher’s readiness to teach online. International Journal of Environmental Research and Public Health, 19(6), 3520. https://doi.org/10.3390/ijerph19063520
  33. Sarı, U., & Güven, G. B. (2013). The effect of interactive whiteboard-supported inquiry-based learning on achievement and motivation in physics and views of prospective teachers. Necatibey Faculty of Education Electronic Journal of Science and Mathematics Education, 7(2), 93–125.
  34. Septinawati, S., Febriani, R. B., Tarwana, W., & Syafryadin, S. (2020). Students’ perceptions toward the implementation of Quipper School as an e-learning platform in teaching English. Jadila: Journal of Development and Innovation in Language and Literature Education, 1(2), 223-238.
  35. Springer, M., Pepper, M., & Ghosh-Dastidar, B. (2009). The impact of supplemental education services on student test score gains: Evidence from a large, urban School District (Report No. 01/0000019b/80/46/c5/40). Marion, IN: Indiana Wesleyan Center for Educational Excellence. Retrieved from ERIC database. (ED0000019)
  36. Sun, A., & Chen, X. (2016). Online education and its effective practice: A research review. Journal of Information Technology Education: Research, 15, 157-190. https://doi.org/10.28945/3502
  37. Sweller, J., Van Merriënboer, J. J. G., & Paas, F. (2019). Cognitive architecture and instructional design: 20 years later. Educational Psychology Review, 31(2), 261–292.
  38. Thompson, G. H., & Thompson, A. J. (1995). Using computer simulations for group projects to business school education. Journal of Business Education, 71, 170-174.
  39. Townsend, C. (2011). The impact of education support advisors on the attendance, discipline, and achievement of at-risk students. (Doctoral dissertation). Available from ProQuest Dissertations and Theses. (AAT 3428285)
  40. Wang, V. C. (2012). Understanding and promoting learning theories. International Journal of Multidisciplinary Research and Modern Education, 8(2), 343-347.
  41. Willcox, M. del R. (2011). Factores de riesgo y protección para el rendimiento académico: Un estudio descriptivo en estudiantes de Psicología de una universidad privada. Revista Iberoamericana de Educación, 55(1), 1-9. Recuperado de http://www.rieoei.org/deloslectores/3878Wilcox.pdf
  42. Yusuf, M. O., & Afolabi, A. O. (2010). Effects of computer-assisted instruction (CAI) on secondary school students' performance in biology. Turkish Online Journal of Educational Technology, 9(1), 62-69.
  43. Zubairu, S. A., & Musa, Y. S. (2020). Effect of computer game, drill and practice on academic performance in biology among senior secondary school students in Maiduguri Metropolis, Borno State, Nigeria. Bulgarian Journal of Science and Education Policy, 14(2), 462-477.

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