Authors : Jovy Kates F. Molina; Dr. Iris April L. Ramirez

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/3p4v852u

DOI : https://doi.org/10.38124/ijisrt/25may074

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Abstract : This study examines the effectiveness of the ARCS instructional model in terms of Attention, Relevance, Confidence and Satisfaction in enhancing the academic performance and students’ motivation among Grade 10 science learners at Philippine College Foundation. Recognizing the importance of motivation to learning the ARCS instructional model addresses common barriers to students’ academic performance particularly in challenging subjects like science. A researcher-made academic performance exam and an adapted motivation questionnaire were used in a pre-experimental one-shot design to evaluate the effect of ARCS instructional model. Findings revealed that the students' posttest means’ scores increased. The results showed a considerable improvement in academic performance, even if they were still within the Low Proficient level. Furthermore, there were considerable improvements in all the components of ARCS Instructional Model, Attention, Relevance, Confidence, especially Satisfaction. The results of statistical analysis showed a considerable impact and a significant improvement in academic performance. The results indicate that the ARCS model successfully promotes learning outcomes and learners’ motivation, underscoring the necessity of continual teacher preparation programs and additional studies into the ARCS instructional model’s long-term impacts across a range of disciplines and educational levels.

Keywords : Attention, Relevance, Confidence, Satisfaction, Motivation.

References :

1. Abuhassna, H., Al-Rahmi, W. M., Yahya, N., Zakaria, M. A. Z. M., Kosnin, A. B. M., & Darwish, M. (2020). Development of a new    model on utilizing online learning platforms to improve students’ academic achievements and satisfaction. International Journal of Educational Technology in Higher Education, 17, 1-23.
2. Afjar, A. M., Musri, & Syukri, M. (2020). Attention, relevance, confidence, satisfaction (ARCS) model on students’ motivation and learning     outcomes in learning physics. Journal of Physics: Conference Series, 1460(1).
3. Alcasoda, R., & Balaoro, J. (2022). Increasing learners’ performance and intrinsic motivation using gamified instructional materials: the ARCS model approach. Int. J. Adv. Res. Innovat. Ideas Educ, 8(4), 2395-4396.
4. Ascendens Asia Singapore – Bestlink                College of the Philippines Journal of            Multidisciplinary Research, 1(1). Retrieved from https://ojs.aaresearchindex.com/index.php/aasgbcpjmra/articl      e/vie       w/25       00
5. Baniqued, W. B., & Bautista, R. G. (2024). Teachers’ preparedness on pedagogical practices in K-12 science education: Foundations for crafting an effective science program. American Journal of Educational Research, 12(8), 291-297. DOI:10.12691/education-12-8-1
6. Cardenas, A. I., & Guerrero, M. C. V. C. (2019). ARCS: A model to foster motivation in times of the new normal. DOI: https://doi.org/10.54660/anfo.2022.3.3.27
7. Chang, Y.-S. (2021). Applying the ARCS Motivation Theory for the Assessment of AR Digital Media Design Learning Effectiveness. Sustainability, 13(21), 12296. https://doi.org/10.3390/su132112296
8. Chiu, T. K. (2021). Digital support for student engagement in blended learning based on self-determination theory. Computers in Human Behavior, 124, 106909.
9. Daugherty, K. (2019). ARCS motivation model application in a pharmacy elective. Currents in Pharmacy Teaching and    Learning, 11(12): 54-62.      https://doi.org/10.1016/j.compedu.2018.03.019
10. Department of Education. (2022). DepEd Memorandum No. 597, s. 2022: Adoption of the Basic Education Monitoring and Evaluation Framework (BEMEF). Department of Education, Philippines. https://www.deped.gov.ph/2022/10/14/october-14-2022-dm-0597-s-2022-adoption-of-the-basic-education-monitoring-and-evaluation-framework-bemef/
11. Dinçer, S. (2020). The effects of materials based on ARCS Model on        motivation: Ameta-analysis. Ilkogretim Online-Elementary Education Online, 19(2):                1016-1042.           https://doi.org/10.17051/ilkonline.2020.695847
12. Dörnyei, Z., & Muir, C. (2019). Creating a motivating classroom environment. Second handbook of English language teaching, 719-736.
13. Dunlap, J. C., & Lowenthal, P. R. (2018). Online learning: Process and product. In M.J. Bishop, J. Elen, E. Svihla, & J. L. Van Horn (Eds.), Proceedings of EdMedia+ Innovate Learning (pp. 1265-1273). Association for the Advancement of Computing in Education (AACE).
14. Eccles, J. S., & Wigfield, A. (2020). From expectancy-value theory to        situated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation. Contemporary educational psychology, 61, 101859.
15. Fang, X., Ng, D. T. K., Leung, J. K. L., & Xu, H. (2023). The applications   of the ARCS model in instructional design, theoretical framework,              and measurement tool: a systematic review of             empirical studies. Interactive Learning Environments, 1–28.       https://doi.org/10.1080/10494820.2023.2240867
16. Filgona, J., Sakiyo, J., Gwany, D. M., and Okoronka, A.U. (2020). Motivation in Learning. Asian Journal of Education and Social Studies. 10(4):         16-
17. Gallen, C.L., Schaerlaeken, S., Younger, J.W. et al. Contribution of            sustained attention abilities to real-world academic skills in children. Sci Rep 13,               2673 (2023). https://doi.org/10.1038/s41598-023-29427-w
18. Gines, A. J. G., Ramos, A. C., Rostata, J. A., Gestupa, Z., Del Rosario,        S., &       Tamon, C.-J. S. (2019). The Effects of Self-confidence in the    Academic Performance of Grade 12 ABM students in Bestlink College of the Philippines School Year 2018-   2019.
19. Gottlieb, M., Chan, T. M., Zaver, F., & Ellaway, R. (2022). Confidence‐competence alignment and the role of self‐confidence in medical education: A conceptual review. Medical Education, 56(1), 37-47.
20. Hoidn, S., & Reusser, K. (2020). Foundations of student-centered               learning and teaching. In The Routledge international handbook                 of student-centered learning and teaching in higher education (pp.      17-46). Routledge.

https://doi.org/10.1088/1742-6596/1460/1/012119

21. Jatmoko, D., Susanto, A., Purwoko, R. Y., Arifin, Z., & Purnawan, P.          (2021). The Implementation of ARCS Learning Model to Improve Students Learning Activities and Outcomes in Vocational High School. Tarbawi: Jurnal Ilmu Pendidikan, 17(2), 137-144.
22. Keller, A. S., Davidesco, I., & Tanner, K. D. (2020). Attention matters: How             orchestrating attention may relate to classroom learning. CBE—Life                Sciences Education, 19(3), fe5.
23. Keller, J. M. (1987). Development and use of the ARCS model of instructional design. Journal of instructional development, 10(3), 2-10.
24. Keller, J. M. (2000). How to integrate learner motivation planning into lesson planning: The ARCS model approach. VII Semanario, Santiago, Cuba,      1, 13.
25. Kew, S.N., Petsangsri, S., Ratanaolarn, T. et al. Examining the motivation                level of students in e-learning in higher education institution in Thailand: A case study. Educ INF Technol 23, 2947–2967 (2018). https://doi.org/10.1007/s10639-018-9753-z (table 3)
26. Kriegbaum, K., Becker, N., & Spinath, B. (2018). The relative      importance of intelligence and motivation as predictors of school achievement: A meta-analysis. Educational Research Review,   25,120–148. https://doi.org/10.1016/j.edurev.2018.10.001
27. Liaw, S. S., Huang, H. M., & Chen, G. D. (2019). Investigating learners’ motivation and learning outcome of applying ARCS model in augmented reality game-based learning. Australasian Journal of Educational Technology, 35(1), 19-32
28. Li, K., & Keller, J. M. (2018). Use of the ARCS model in education: A        literature review. Computers & Education, 122, 54–   62. https://doi.org/10.1016/j.compedu.2018.03.019
29. Li, K., & Keller, J. M. (2021). Fostering learner motivation with the ARCS model in digital education. Educational Technology Research and Development, 69(2), 903-926. https://doi.org/10.1007/s11423-021-09959-0
30. Lone, R. A. (2021). Self-confidence among students and its impact on their academic performance: a systematic review. International Journal of Creative Research Thoughts, 9(2), 5
31. Ma, L., & Lee, C. S. (2021). Evaluating the effectiveness of blended          learning using the ARCS model. Journal of computer assisted learning, 37(5), 1397-1408.
32. Martin, D. E. (2021). An Analysis Of The Relationship Between Student   Achievement and the Emotional Intelligence Quotient of Secondary Principals in Alabama Schools (Doctoral dissertation, The University of Alabama at Birmingham).
33. Montero, J. C. (2018). Acceptability of the ARCS model in teaching science for grade 10. In International Research Conference 2018.
34. Montero, J. (2020). Effectiveness of the ARCS model in teaching Physics competencies for Grade 10. Retrieved fromresearchgate.net/publication/331638333_Effectiveness_of_the_ARCS_model_in_teaching_physics.
35. Munna, A. S., & Kalam, M. A. (2021). Teaching and learning process to enhance teaching effectiveness: a literature review.    International        Journal of Humanities and Innovation (IJHI),              4(1), 1-4.
36. Ng, D. T. K., & Chu, S. K. W. (2021). Motivating students to learn STEM via          engaging flight simulation activities. Journal of Science      Education and Technology, 30(5), 608–629.https://doi.org/10.1007/s10956-021-09907-2
37. Özer, M. (2020). Vocational Education and Training as “A Friend in Need” during Corona Virus Pandemic in Turkey. Bartin University Journal                 of Faculty of Education, 9, 1-7.
38. Pratama, R. W., Sudiyanto, S., & Riyadi, R. (2019). The Development Of                Attention, Relevance, Confidence, And Satisfaction (ARCS)               Model    Based on Active Learning to Improve Students’ learning Motivation. Al-Jabar: Jurnal    Pendidikan Matematika, 10(1),        59–66. https://doi.org/10.24042/AJPM.V10I1.4044
39. Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary educational psychology, 61, 101860.
40. Refat, N., Rahman, M. A., Asyhari, A. T., Kurniawan, I. F., Bhuiyan, M. Z. A.,        & Kassim, H. (2019). Interactive learning experience-driven smart communications networks for cognitive load management              in grammar learning context. IEEE Access, 7, 64545–64557 https://doi.org/10.1109/ACCESS.2019.2915174
41. Sabanal, G. J. A., Reputana, K. G. D., Palwa, S. S., Labandero, C. L. H.,    & Alimbon, J. A. (2023). Motivation and Academic Performance            of Secondary Students in Science: A Correlational Study. Asian Journal of Science Education, 5(2), 20-29.
42. Seven, M. A. (2020). Motivation in Language Learning and Teaching. African Educational Research Journal, 8, 62-71.https://doi.org/10.30918/AERJ.8S2.20.033
43. Sharma, A. S. A. A. (2019). Integrating the arcs model with instruction      for enhanced learning. Journal of Engineering Education Transformations,    32(3).
44. Sheng, W., Fan, Z., & Weng, S. (2024). Enhancing student satisfaction in educational management: A Bayesian analysis of influential factors and           improvement strategies. Journal of the Knowledge     Economy, 1-38.
45. Subbiah, A. (2024). Enhancing Learner Motivation and Academic Achievement: The Impact of the ARCS Model of Motivational Design on Technology-Enhanced Learning Environments. In Recent Trends and Future Direction for Data Analytics (pp. 270-288). IGI Global.
46. Trabelsi, Z., Alnajjar, F., Parambil, M. M. A., Gochoo, M., & Ali, L. (2023). Real-time attention monitoring system for classroom: A    deep learning approach      for student’s behavior recognition. Big Data and Cognitive Computing, 7(1),       48.
47. Ucar, H., & Kumtepe, A. T. (2020). Effects of the ARCS‐V‐based              motivational strategies on online learners' academic performance, motivation, volition, and course interest. Journal of Computer Assisted Learning, 36(3), 335-   349.
48. Valdez, P. (2019). Focus: attention science: circadian rhythms in attention. The Yale journal of biology and medicine, 92(1), 81.
49. Watters, A. (2023). Teaching machines: The history of personalized          learning. mit Press.
50. Wu, T. (2018). Improving the effectiveness of English vocabulary review by integrating ARCS with mobile game‐based learning.    Journal of Computer          Assisted Learning, 34(3), 315-323.
51. Xia, Q., Chiu, T. K., Lee, M., Sanusi, I. T., Dai, Y., & Chai, C. S. (2022). A self-determination theory (SDT) design approach for inclusive and diverse              artificial intelligence (AI) education. Computers & Education, 189, 104582.
52. Xueli, W., Md, Z. M. M., & Peipei, T. (2025). The Effect of the Arcs Model               of Motivation on Students' Learning Achievement: A Meta-Analysis. Journal of Lifestyle and SDGs Review, 5(2), e03220-          e03220. https://doi.org/10.47172/2965730X.SDGsReview.v5.n02.pe03220
53. Zhu, G., & Burrow, A. L. (2023). Profiles of personal and ecological           assets: Adolescents’ motivation and engagement in self-driven        learning. Current Psychology, 42(16), 14025-14037. 7              https://doi.org/10.1007/s12144-021-02412-0