Journal of Applied Science, Engineering, Technology, and Education
Vol. 6 No. 1 (2024), Pages 69-79 · 2024-06-30
Barriers to Effective Learning: Examining the Influence of Delayed Feedback on Student Engagement and Problem Solving Skills in Ubiquitous Learning Programming
- M. Miftach Fakhri — Department of Informatics and Computer Engineering Education, Universitas Negeri Makassar, Makassar, 90223, Indonesia, Indonesia
- Ansari Saleh Ahmar — Department of Statistics, Universitas Negeri Makassar, 90223, Makassar, Indonesia, Indonesia
- Rosidah — Department of Mathematics, Universitas Negeri Makassar, 90223, Makassar, Indonesia, Indonesia
- Della Fadhilatunisa — Department of Accounting, Universitas Islam Negeri Alauddin Makassar, Makassar 92118, Indonesia, Indonesia
- Mosab Tabash — College of Business, Al Ain University, United Arab Emirates, United Arab Emirates
- Publication History
- Published online: June 30, 2024
- DOI
- https://doi.org/10.35877/454RI.asci2825
- Copyright
- Copyright (c) 2024 M. Miftach Fakhri, Ansari Saleh Ahmar, Rosidah, Della Fadhilatunisa (Author)
Abstract
The rapid evolution of technology has reshaped the educational landscape, ushering in ubiquitous learning environments that provide learners with unparalleled access to educational resources at any time and location. This study aimed to investigate the impact of delayed feedback on student engagement and problem-solving skills in ubiquitous learning programming environments. The purpose was to understand how different forms of student engagement—behavioral, emotional, and cognitive—influence problem-solving abilities and how students perceive and handle delayed feedback. A quantitative method was employed using a cross-sectional survey design. Data were collected from 293 students enrolled in the Department of Informatics and Computer Engineering, Faculty of Engineering, Makassar State University, who had studied web and mobile programming courses. Standardized questionnaires were administered to measure variables. Quantitative data analysis involved descriptive statistical analysis and structural equation modeling (SEM) using SmartPLS 4.0. The research results revealed that behavioral engagement (BE) significantly improves problem-solving skills and helps students better handle delayed feedback. Emotional engagement (EE) has the strongest influence on problem-solving abilities and responses to delayed feedback. Cognitive engagement (CE), while not directly enhancing problem-solving skills, significantly aids in the management of delayed feedback. These findings underscore the importance of fostering behavioral and emotional engagement to enhance problem-solving skills and mitigate the adverse effects of delayed feedback. Strategies such as gamification, real-time collaboration, and immediate feedback mechanisms are essential to improve learning outcomes in ubiquitous learning programming environments.
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References (35)
- Amalia, L. (2024). Learning Design: To Improve Mathematical Problem-Solving Skills Using a Contextual Approach. Jiip - Jurnal Ilmiah Ilmu Pendidikan, 7(3), 2353–2366. https://doi.org/10.54371/jiip.v7i3.3455
- Annan, D. K., Onodipe, D. G., & Stephenson, D. A. (2019). Using Student-Created Content Videos in Flipped Learning to Enhance Student Higher-Order Thinking Skills, Engagement, and Satisfaction. Journal of Education & Social Policy, 6(3). https://doi.org/10.30845/jesp.v6n3p4
- Aslam, R. (2021). Impact of Learning Motivation on Students’ Academic Achievement: Mediating Role of Constructive Feedback. Pakistan Social Sciences Review, 5(III), 472–484. https://doi.org/10.35484/pssr.2021(5-iii)35
- Câmpean, A. (2024). Examining Teachers’ Perception on the Impact of Positive Feedback on School Students. Education Sciences, 14(3), 257. https://doi.org/10.3390/educsci14030257
- Escultura, J. J. (2023). Effects of Audio Feedback in an Online Assessment in Students’ Academic Motivation. Journal of Education Management and Development Studies, 3(3), 54–62. https://doi.org/10.52631/jemds.v3i3.72
- Fakhri, M. M., Andayani, D. D., Kaswar, A. B., Zahra Adistia, A., & Fadhilatunisa, D. (2023). Dampak Penerapan Flipped Classroom Terhadap Pengetahuan, Keterampilan, dan Keterlibatan Mahasiswa dalam Pembelajaran. Jurnal Ilmiah Edutic : Pendidikan Dan Informatika, 9(2), 127–138. https://doi.org/10.21107/edutic.v9i2.18353
- Gan, Z., An, Z., & Liu, F. (2021). Teacher Feedback Practices, Student Feedback Motivation, and Feedback Behavior: How Are They Associated With Learning Outcomes? Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.697045
- Gao, X. (2023). The Relation of Students’ Conceptions of Feedback to Motivational Beliefs and Achievement Goals: Comparing Chinese International Students to New Zealand Domestic Students in Higher Education. Education Sciences, 13(11), 1090. https://doi.org/10.3390/educsci13111090
- Ghozali, I. nd. (2012). Fuad. Badan Penerbit Universitas Diponegoro.
- Green, K., & Chenarides, L. (2020). Using a sensory learning framework to design effective curricula: Evidence from indigenous nutrition education programs. Sustainability (Switzerland), 12(17), 7077. https://doi.org/10.3390/su12177077
- Hair, J. F. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM (J. F. Hair (ed.); Second). Sage.
- Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Pearson Prentice Hall.
- Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of {PLS}-{SEM}. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
- Hair Jr., J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107. https://doi.org/10.1504/ijmda.2017.10008574
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-
- Hsu, C.-Y., & Wu, T.-T. (2023). Application of Business Simulation Games in Flipped Classrooms to Facilitate Student Engagement and Higher-Order Thinking Skills for Sustainable Learning Practices. Sustainability, 15(24), 16867. https://doi.org/10.3390/su152416867
- Huang, Y. M., Wang, W. S., Lee, H. Y., Lin, C. J., & Wu, T. T. (2024). Empowering virtual reality with feedback and reflection in hands-on learning: Effect of learning engagement and higher-order thinking. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12959
- Isaac, S., & Michael, W. B. (1971). Handbook in research and evaluation. In Behavior Therapy (Vol. 2, Issue 4). Knapp. https://doi.org/10.1016/s0005-7894(71)80129-6
- Li, W., Huang, J. Y., Liu, C. Y., Tseng, J. C. R., & Wang, S. P. (2023). A study on the relationship between student’ learning engagements and higher-order thinking skills in programming learning. Thinking Skills and
- Creativity, 49(January), 101369. https://doi.org/10.1016/j.tsc.2023.101369
- Liu, M. (2023). Relationship Between Student Engagement and Academic Achievement in College English Education for Non-English Majors in China. International Journal of Learning Teaching and Educational Research, 22(8), 203–232. https://doi.org/10.26803/ijlter.22.8.12
- Loureiro, P., Dieguez, T., & Ferreira, I. (2022). Higher education as a driver for sustainable transformation and leadership. International Journal of Multidisciplinary Research and Growth Evaluation, 270–277. https://doi.org/10.54660/anfo.2022.3.4.13
- Niu, J. (2024). The Multiple Roles of Social-Emotional Skills in Student Educational, Psychological, and Social Outcomes: An Empirical Study From China. Social Education Research, 86–103. https://doi.org/10.37256/ser.5120243650
- Nong, W., Ye, J., Chen, P., & Lee, Y.-S. (2023). A Study on the Blended Learning Effects on Students Majoring in Preschool Education in the Post-Pandemic Era: An Example of a Research-Method Course in a Chinese University. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.962707
- Nunnally, B., & Bernstein, I. R. (1994). Psychometric Theory. Oxford University Press.
- Pan, X., & Gan, Z. (2019). Understanding the Impact of Teacher’s Formative Feedback on Students’ Self-Reflection Behavior and Learning Motivation. International Journal of Social Sciences and Education Research, 5(3), 233–241. https://doi.org/10.24289/ijsser.557156
- Rababa, N. (2021). The effect of e-learning in developing high thinking skills. International Journal of Data and Network Science, 5(1), 43–46. https://doi.org/10.5267/j.ijdns.2020.11.004
- Sajadifar, S. (2023). Emotional Pathways to Engagement: Predicting Academic Engagement Through Academic Emotions Among High School Girls. KMAN Counsel and Psych Nexus, 1(1), 189–194. https://doi.org/10.61838/kman.psychnexus.1.1.22
- Stadler, M. (2024). VOTAT in Action. Zeitschrift Für Psychologie, 232(2), 109–119. https://doi.org/10.1027/2151-2604/a000559
- Taxipulati, S., & Hai-dong, L. U. (2021). The Influence of Feedback Content and Feedback Time on Multimedia Learning Achievement of College Students and Its Mechanism. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.706821
- Wang, K., Tekler, Z. D., Cheah, L., Herremans, D., & Blessing, L. (2021). Evaluating the effectiveness of an augmented reality game promoting environmental action. Sustainability (Switzerland), 13(24), 13912. https://doi.org/10.3390/su132413912
- Wong, E. Y. cheung, Hui, R. T. yin, & Kong, H. (2023). Perceived usefulness of, engagement with, and effectiveness of virtual reality environments in learning industrial operations: the moderating role of openness to experience. Virtual Reality, 27(3), 2149–2165. https://doi.org/10.1007/s10055-023-00793-0
- Yang, L. (2024). Enhancing Emotional Health and Engagement in Chinese English Language Learners: An Approach From Teachers’ Autonomy- Supportive Behavior, Teachers’ Harmony, and Peer Support in a Two-Sample Study. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1356213
- Zhao, Y., Lin, S., Liu, J., Zhang, J., & Yu, Q. (2021). Learning contextual factors, student engagement, and problem-solving skills: A Chinese perspective. Social Behavior and Personality, 49(2), 1–18. https://doi.org/10.2224/SBP.9796
- Zhu, X.-W., & Darun, M. R. (2023). Factors Influencing Higher-order Thinking Skills in Blended Learning. International Journal of Advanced Research in Education and Society. https://doi.org/10.55057/ijares.2023.5.4.30
How to Cite
Fakhri, M. M., Ansari Saleh Ahmar, Rosidah, R., Fadhilatunisa, D., & Tabash, M. (2024). Barriers to Effective Learning: Examining the Influence of Delayed Feedback on Student Engagement and Problem Solving Skills in Ubiquitous Learning Programming. Journal of Applied Science, Engineering, Technology, and Education, 6(1), 69–79. https://doi.org/10.35877/454RI.asci2825
