HomeJournal of Interdisciplinary Perspectivesvol. 2 no. 8 (2024)

Assessment of Behavioral Intention to Adopt Educational Mobile Application in Advanced Mathematics for Engineering Education

Aura Marie B. Novesteras

Discipline: Education

 

Abstract:

Technology has long played a crucial role in society, including its application in education. The learning experiences of students in higher education have been significantly transformed. This study explores the adoption and acceptance of the Advanced Math mobile application among students, focusing on four key variables: social influence, performance expectancy, effort expectancy, and facilitating conditions. The study involved 253 participants who downloaded and used the Advanced Math mobile application as a supplemental study tool. The findings indicate that social influence significantly impacts students' decisions to use the application. The performance of the mobile application enhances students' productivity by providing easy access to lecture information, thereby supporting their learning process and motivating them to use the application. Facilitating conditions enable students to work independently at their preferred pace and access the application anytime and anywhere. The behavioral intention to use the mobile application is associated with positive feelings, leading students to use it as an additional resource for learning Advanced Math. Mobile applications have the potential to revolutionize educational settings by enhancing engagement, accessibility, and personalized learning. However, their effective use in the classroom necessitates robust pedagogical frameworks that align with learning objectives and provide continuous support for educators. Future research should continue to explore the challenges and opportunities of integrating mobile applications into the classroom to support both teachers and students in an increasingly digital society.



References:

  1. Abu-Al-Aish, A., Love, S., & Hunaiti, Z. (2012). Mathematics students’ readiness for mobile learning. International Journal of Mobile and Blended Learning (IJMBL), 4(4), 1-20. https://doi.org/10.4018/jmbl.2012100101
  2. Alshabeb, A. M., Alharbi, O., Almaqrn, R. K., & Albazie, H. A. (2020). Studies employing the unified theory of acceptance and use of technology (UTAUT) as a guideline for the research: Literature review of the Saudi context. Advances in Social Sciences Research Journal, 7(4), 18-23. https://doi.org/10.14738/assrj.74.8001
  3. Arenas-Gaitán, J., Peral-Peral, B., & Ramón-Jerónimo, M. (2015). Elderly and internet banking: An application of UTAUT2. Journal of Internet Banking and Commerce, 20(1), 1-23. http://hdl.handle.net/11441/57220
  4. Chang, C. C., Lin, C. L., & Yan, C. F. (2011). The influence of perceived convenience and curiosity on continuous English learning intention in a mobile environment. Journal of Educational Media & Library Sciences, 48(4). https://doi.org/10.1080/1475939X.2013.802991
  5. Ciampa, K. (2014). Learning in a mobile age: An investigation of student motivation. Journal of Computer Assisted Learning, 30(1), 82-96. https://doi.org/10.1111/jcal.12036
  6. Criollo-C, S., Abad-Vásquez, D., Martic-Nieto, M., Velásquez-G, F. A., Pérez-Medina, J. L., & Luján-Mora, S. (2021). Towards a new learning experience through a mobile application with augmented reality in engineering education. Applied Sciences, 11(11), 4921. https://doi.org/10.3390/app11114921
  7. Iqbal, S., & Qureshi, I. A. (2012). M-learning adoption: A perspective from a developing country. International Review of Research in Open and Distributed Learning, 13(3), 147-164. https://doi.org/10.19173/irrodl.v13i3.1152
  8. Pereira, O. R., & Rodrigues, J. J. (2013). Survey and analysis of current mobile learning applications and technologies. ACM Computing Surveys (CSUR), 46(2), 1-35. https://doi.org/10.1145/2543581.2543594
  9. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
  10. Wang, Y. S., Wu, M. C., & Wang, H. Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92-118. https://doi.org/10.1111/j.1467-8535.2007.00809.x.
  11. Zhou, L. L., Owusu-Marfo, J., Asante Antwi, H., Antwi, M. O., Kachie, A. D. T., & Ampon-Wireko, S. (2019). Assessment of the social influence and facilitating conditions that support nurses’ adoption of hospital electronic information management systems (HEIMS) in Ghana using the unified theory of acceptance and use of technology (UTAUT) model. BMC Medical Informatics and Decision Making, 19(1), 1-9. https://doi.org/10.1186/s12911-019-0956-z