International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

line decor
  
line decor

 Volume 11, Issue 12 (December 2024), Pages: 215-224

----------------------------------------------

 Original Research Paper

Enhancing statistical literacy: Developing and implementing Android-based performance tasks in mathematics

 Author(s): 

 Analyn M. Gamit *

 Affiliation(s):

 Graduate School, Nueva Ecija University of Science and Technology, Cabanatuan City, Philippines

 Full text

  Full Text - PDF

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-4266-0851

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2024.12.024

 Abstract

This study addressed knowledge gaps in Statistics and Probability among college students at Nueva Ecija University of Science and Technology by designing, developing, and evaluating an Android-Based Performance Tasks (APT) application. Using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) instructional design model, the researchers identified the least understood statistical topics and created eight performance tasks covering areas such as hypothesis testing, correlation, and regression. The application was reviewed by mathematics and Information and Communication Technology (ICT) experts for content accuracy and functionality before being implemented with selected students over eight weeks. Qualitative interviews showed that the APTs positively influenced student engagement, teamwork, and the practical application of statistical concepts. While some students initially struggled with solving tasks and navigating the app, they found it engaging, user-friendly, and effective for practical learning. The findings highlight the importance of integrating technology into teaching to support deeper understanding and improve mathematical literacy. The APT application serves as a useful tool to boost student motivation and performance in Statistics and Probability.

 © 2024 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Statistics education, Performance tasks, Android application, Student engagement, Mathematical literacy

 Article history

 Received 20 August 2024, Received in revised form 5 November 2024, Accepted 27 November 2024

 Acknowledgment

Heartfelt thanks go to the faculty and staff of the College of Education, Nueva Ecija University of Science and Technology, for their invaluable cooperation throughout the study. Deep appreciation is extended to the participants who generously shared their time and insights, ensuring the research's success. Special gratitude is also given to the academic advisors and ethics committee for their support and guidance, which helped maintain the integrity of this research.

 Compliance with ethical standards

 Ethical considerations

The research adhered to the highest ethical standards, guided by the academic advisors and the ethics committee of the College of Education, Nueva Ecija University of Science and Technology. The participation of students and faculty was entirely voluntary, and all data was collected, stored, and analyzed with strict attention to confidentiality. Participants were fully informed of the study’s objectives and were free to withdraw at any stage without academic repercussions.

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Gamit AM (2024). Enhancing statistical literacy: Developing and implementing Android-based performance tasks in mathematics. International Journal of Advanced and Applied Sciences, 11(12): 215-224

 Permanent Link to this page

 Figures

 No Figure

 Tables

 No Table

----------------------------------------------   

 References (40)

  1. Аbdigapbarova U and Zhiyenbayeva N (2022). Organization of student-centered learning within the professional training of a future teacher in a digital environment. Education and Information Technologies, 28(1): 647-661. https://doi.org/10.1007/s10639-022-11159-5   [Google Scholar]  PMid:35814803 PMCid:PMC9251589
  2. Albay EM and Eisma DV (2021). Performance task assessment supported by the design thinking process: Results from true experimental research. Social Sciences and Humanities Open, 3(1): 100116. https://doi.org/10.1016/j.ssaho.2021.100116   [Google Scholar]
  3. Ali J and Inayah L (2022). Android-based test (ABT) to evaluate students' literacy in madrasah. Advances in Social Science, Education and Humanities Research, 633: 255-259. https://doi.org/10.2991/assehr.k.220104.038   [Google Scholar]
  4. Arhin AK (2015). The effect of performance assessment-driven instruction on the attitude and achievement of senior high school students in mathematics in Cape Coast Metropolis, Ghana. Journal of Education and Practice, 6(2): 109-116.   [Google Scholar]
  5. Asiedu M (2023). Absorptive capacity and innovation generation in higher education institutions: The mediating role of inter-functional coordination. The Learning Organization, 30(4): 385-405. https://doi.org/10.1108/TLO-11-2022-0128   [Google Scholar]
  6. Astuti C, Wiguna A, Latifa F, and Olvyya A (2022). Development of Android-based "mbarengi" statistics e-module as an innovation for statistics learning media with hybrid learning. Barekeng Jurnal Ilmu Matematika Dan Terapan, 16(2): 515-524. https://doi.org/10.30598/barekengvol16iss2pp515-524   [Google Scholar]
  7. Bieraugel M and Neill S (2017). Ascending Bloom's pyramid: Fostering student creativity and innovation in academic library spaces. College and Research Libraries, 78(1): 35-52. https://doi.org/10.5860/crl.78.1.35   [Google Scholar]
  8. Branch RM (2014). Characteristics of instructional design models. In: Reiser RA and Dempsey JV (Eds.), Trends and issues in instructional design and technology. 4th Edition, Pearson Merrill Prentice Hall, New York, USA.   [Google Scholar]
  9. Cao Y, Gong S, Wang Z, Yang C, and Wang Y (2022). More challenging or more achievable? The impacts of difficulty and dominant goal orientation in leaderboards within educational gamification. Journal of Computer Assisted Learning, 38(3): 845-860. https://doi.org/10.1111/jcal.12652   [Google Scholar]
  10. De Lara MGO and Santos AR (2024). Service delivery and quality assurance in administrative units of higher education institutions during the pandemic. Corporate and Business Strategy Review, 5(1): 494–504. https://doi.org/10.22495/cbsrv5i1siart22   [Google Scholar]
  11. Etcuban JO and Pantinople LD (2018). The effects of mobile application in teaching high school mathematics. International Electronic Journal of Mathematics Education, 13(3): 249-259. https://doi.org/10.12973/iejme/3906   [Google Scholar]
  12. Funa A and Ricafort J (2019). Developing gamified instructional materials in genetics for grade 12 STEM. International Journal of Engineering Science and Computing, 9(3): 20597-20600.   [Google Scholar]
  13. Galman SMA (2019). On solving mathematical problems the spatial-visual ways. Journal of Applied Mathematics and Physics, 7(3): 559-566. https://doi.org/10.4236/jamp.2019.73041   [Google Scholar]
  14. Galman SMA and Rosario JCD (2021). Linking real-life situations with classroom assessment: Development of real-life performance-based tasks in business mathematics. Journal of Applied Mathematics and Physics, 9(3): 485-502. https://doi.org/10.4236/jamp.2021.93034   [Google Scholar]
  15. Gamit AM (2023). ICT integration in elementary school for mathematics subject. International Journal of Learning, Teaching and Educational Research/International Journal of Learning, Teaching and Educational Research, 22(2): 432–465. https://doi.org/10.26803/ijlter.22.2.24   [Google Scholar]
  16. Garrison DR (2007). Online community of inquiry review: Social, cognitive, and teaching presence issues. Journal of Asynchronous Learning Networks, 11(1): 61-72. https://doi.org/10.24059/olj.v11i1.1737   [Google Scholar]
  17. Ghafar M, Zarkasyi A, and Adam F (2022). Impacts of openness to experience on learning innovation model the moderating effect of teacher knowledge-sharing. Cendekia Jurnal Kependidikan Dan Kemasyarakatan, 20(2): 164-180. https://doi.org/10.21154/cendekia.v20i2.4960   [Google Scholar]
  18. Gong H and Yan D (2023). The impact of Danmaku-based and synchronous peer feedback on l2 oral performance: A mixed-method investigation. PLOS ONE, 18(4): e0284843. https://doi.org/10.1371/journal.pone.0284843   [Google Scholar] PMid:37098034 PMCid:PMC10128976
  19. Hidayati L and Elmunsyah H (2021). Students' learning motivation in oriental food processing course during online learning using digital smart book learning media. Teknologi Dan Kejuruan Jurnal Teknologi Kejuruan Dan Pengajarannya, 44(1): 34-39. https://doi.org/10.17977/um031v44i12021p34-39   [Google Scholar]
  20. Iter N (2017). Using performance task-GRASPS to assess student performance in higher education courses. American Journal of Educational Research, 5(5): 552-558.   [Google Scholar]
  21. Jiang Y (2018). Habitual versus goal-driven attention. Cortex, 102: 107-120. https://doi.org/10.1016/j.cortex.2017.06.018   [Google Scholar] PMid:28734549 PMCid:PMC5754262
  22. Koelsch S, Busch T, Jentschke S, and Rohrmeier M (2016). Under the hood of statistical learning: A statistical MMN reflects the magnitude of transitional probabilities in auditory sequences. Scientific Reports, 6(1): 19741. https://doi.org/10.1038/srep19741   [Google Scholar] PMid:26830652 PMCid:PMC4735647
  23. Krishnasamy S, Ling L, and Kim T (2020). Improving learning experience of probability and statistics using multimedia system. International Journal of Emerging Technologies in Learning (iJET), 15(1): 77-87. https://doi.org/10.3991/ijet.v15i01.11349   [Google Scholar]
  24. Kurniawan BR, Shodiqin MI, Saputri DE, Kholifah MN, and Affriyenni Y (2020). Development of android-based assessment to improve student's concept acquisition on vector topics. AIP Conference Proceedings, 2215(1): 050009. https://doi.org/10.1063/5.0000572   [Google Scholar]
  25. Lee SJ and Reeves TC (2007). A significant contributor to the field of educational technology. Educational Technology, 47(6): 56-59.   [Google Scholar]
  26. Li G and Wang L (2018). The role of item-specific information for the retrieval awareness of performed actions. Frontiers in Psychology, 9: 1325. https://doi.org/10.3389/fpsyg.2018.01325   [Google Scholar] PMid:30154741 PMCid:PMC6102507
  27. Lu Y, Pian Y, Chen P, Meng Q, and Cao Y (2021). RadarMath: An intelligent tutoring system for math education. Proceedings of the AAAI Conference on Artificial Intelligence, 35(18): 16087-16090. https://doi.org/10.1609/aaai.v35i18.18020   [Google Scholar]
  28. McTighe J (2016). You can teach for meaning. Teaching for Meaning, 62(1): 26-31.   [Google Scholar]
  29. McTighe J and Wiggins GP (2013). Understanding by design. 5th Edition, Association for Supervision and Curriculum Development, Alexandria, USA.   [Google Scholar]
  30. Mirza S, Mahmood A, and Hassan W (2022). The interplay of open innovation and strategic innovation: Unpacking the role of organizational learning ability and absorptive capacity. International Journal of Engineering Business Management. https://doi.org/10.1177/18479790211069745   [Google Scholar]
  31. Morris R, Perry T, and Wardle L (2021). Formative assessment and feedback for learning in higher education: A systematic review. Review of Education, 9(3): e3292. https://doi.org/10.1002/rev3.3292   [Google Scholar]
  32. Ng Y, Chan K, Lei H, Mok P, and Leung S (2019). Pedagogy and innovation in science education: A case study of an experiential learning science undergraduate course. The European Journal of Social and Behavioural Sciences, 25(2): 156-173. https://doi.org/10.15405/ejsbs.254   [Google Scholar]
  33. Nissa ADA, Toyib M, Sutarni S, Akip E, Kadir S, and Solikin A (2021). Development of learning media using android-based articulate storyline software for teaching algebra in junior high school. Journal of Physics: Conference Series, IOP Publishing, 1720(1): 012011. https://doi.org/10.1088/1742-6596/1720/1/012011   [Google Scholar]
  34. Sabijon A (2021). Performance assessment task: A point of reference for science teachers - this pandemic and beyond. International Journal of Multidisciplinary Applied Business and Education Research, 2(12): 1392-1409. https://doi.org/10.11594/10.11594/ijmaber.02.12.13   [Google Scholar]
  35. Santos AR (2023). Business transformation at the vegetable trading post: Foundational development strategy for the future. Corporate and Business Strategy Review, 4(3): 46–55. https://doi.org/10.22495/cbsrv4i3art5   [Google Scholar]
  36. Sinha K, Saunders C, Raby S, and Dewald J (2021). The moderating role of previous venture experience on breadth of learning and innovation and the impacts on SME performance. International Journal of Entrepreneurial Behaviour and Research, 28(2): 346-367. https://doi.org/10.1108/IJEBR-02-2021-0159   [Google Scholar]
  37. Suddin S and Deda YN (2020). Education game based on Timor local wisdom as an Android-based mathematics learning media. Al-Jabar: Jurnal Pendidikan Matematika, 11(2): 227-246. https://doi.org/10.24042/ajpm.v11i2.6958   [Google Scholar]
  38. Uluçınar U and Dinç E (2021). Effectiveness of authentic performance tasks: The case of a special education course. Journal of Pedagogical Research, 5(2): 152-171. https://doi.org/10.33902/JPR.2021270069   [Google Scholar]
  39. Wiggins GP and McTighe J (2012). Understanding by design. 2nd Edition, Association for Supervision and Curriculum Development, Alexandria, USA.   [Google Scholar]
  40. Wigglesworth G and Frost K (2008). Task and performance based assessment. Encyclopedia of language and education, 7: 111-122.   [Google Scholar]