Abstracts
Abstract
Autonomous learning is a fundamental aspect of education that builds important skills, like critical thinking, problem-solving, and adaptability, which are important for achievement in a constantly changing professional environment. Cultivating it promotes lifelong learning, self-improvement, and knowledge beyond traditional educational settings. The objective of this study is to demonstrate the impact of the investigated autonomous learning approach to learners, and assess their ability to sustain the learning process, hence fostering lifelong learning within the framework of formal education. An Autonomous Learning Model (ALM) based 14-week qualitative study examined learners' work and reflections. Theme-based analysis was conducted with 62 fourth-semester English-language learners. A six-stage thematic analysis discovered coded responses' themes. The ALM examined the following key aspects of individual development: personal responsibility, positive self-esteem, decision-making, problem-solving, interpersonal skills, critical and creative thinking abilities, and a strong enthusiasm for learning. The results showed that autonomous learning is achievable, and that instructors’ support and institutional collaboration will improve new curriculum and courses. This study aims to enhance semester-end evaluations, leading to significant improvements for future language-programed learners and ensuring the sustainability of their learning.
Keywords:
- curriculum design,
- curriculum reform,
- English,
- hybrid,
- tertiary education
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Appendices
Biographical notes
Raihan Ibrahim, Nur ‘Ain, and Hoo Fang Jing are senior lecturers at the Academy of Language Studies, Universiti Teknologi MARA Melaka. Raihan specializes in second-language acquisition, English-language teaching, and workplace communication. Nur ‘Ain has over 20 years of experience teaching language proficiency and communication. Fang Jing’s expertise lies in language studies and sustainability, with a strong record of high-index research publications. Collectively, their extensive academic and research backgrounds contribute to advancing language studies, pedagogy, and sustainable communication practices, aligning with their shared commitment to fostering proficiency and innovation in diverse language educational contexts.
Mohd Amin Mohd Noh and Zur’Ain Harun are lecturers at the Faculty of Education, Universiti Islam Selangor with the former specializing in educational technology, graphic design and persuasive technology, while the latter conducts research in educational management and TESL.
Bibliography
- Anthonysamy, L., & Singh, P. (2023). The impact of satisfaction, and autonomous learning strategies use on scholastic achievement during Covid-19 confinement in Malaysia. Heliyon, 9(2).
- Benson, P. (2006). Autonomy website: Hong Kong University.
- Betts, G. T., & Kercher, J. K. (1999). Autonomous learner model: Optimizing ability. Alps Publ.
- Blaschke, L. M. (2021). The dynamic mix of heutagogy and technology: Preparing learners for lifelong learning. British Journal of Educational Technology, 52(4), 1629–1645.
- Candy, P. C. (1991). Self-direction for lifelong learning: A comprehensive guide to theory and practice. ERIC.
- du Toit-Brits, C. (2019). A focus on self-directed learning: The role that educators’ expectations play in the enhancement of students’ self-directedness. South African Journal of Education, 39(2).
- Ertug, N., & Faydali, S. (2018). Investigating the relationship between self-directed learning readiness and time management skills in Turkish undergraduate nursing students. Nursing Education Perspectives, 39(2), E2--E5.
- Esteban-Guitart, M., & Gee, J. (2020). Inside the head and out in the world: An approach to deep teaching and learning. Multidisciplinary Journal of Educational Research, 10(1), 1–25.
- Fischer, G. (2001). Lifelong learning and its support with new media. International Encyclopedia of Social and Behavioral Sciences, 13(41), 1–7.
- Gathercole, I. (1990). Autonomy in language learning. ERIC.
- Gonzalez, T., De La Rubia, M. A., Hincz, K. P., Comas-Lopez, M., Subirats, L., Fort, S., & Sacha, G. M. (2020). Influence of COVID-19 confinement on students’ performance in higher education. PloS One, 15(10), e0239490.
- Higher Education Ministry to shorten 44-degree programmes at IPTA to three years (2023, June 4). The Star. Retrieved September 31, 2023, from https://www.thestar.com.my/news/nation/2023/06/04/higher-education-ministry-to-shorten-44-degree-programmes-at-ipta-to-three-years
- Hoo, F. J., Mohd Amin, M. N., Mohd Faeez, I., Mohd Izzuddin, M. P., Annasaii, J., Julia, M., & Hasrol, B. (2023). A view of financial factors in online distance learning during the Covid-19 pandemic. Malim: Jurnal Pengajian Umum Asia Tenggara, 24, 71–83.
- Hoo, F. J., Mohd Amin, M. N., Raihan, I., & Mohd Faeez, I. (2022). A view of time in open and distance learning. Jurnal Ilmiah Peuradeun, 10(3), 929–940.
- Jackson, C. (2020). Examining relationships between student perceptions of community of inquiry as a predictor of cognitive and behavioral engagement mediated by self-efficacy [Doctoral dissertation, University of Oklahoma].
- Jebbour, M. (2022). The unexpected transition to distance learning at Moroccan universities amid COVID-19: A qualitative study on faculty experience. Social Sciences & Humanities Open, 5(1), 100253.
- Kasinathan, R., Mallu, M., & Bozinski, M. (2023). Diversity and inclusion in industry: A road to prosperity. CRC Press.
- Khalid, M., Bashir, S., & Amin, H. (2020). Relationship between self-directed learning (SDL) and academic achievement of university students: A case of online distance learning and traditional universities. Bulletin of Education and Research, 42(2), 131–148.
- Knowles, M. S. (1975). Self-directed learning: A guide for learners and teachers.
- Kuo, Y.-C., Tseng, H., & Kuo, Y.-T. (2020). Internet self-efficacy, self-regulation, and student performance: African-American adult students in online learning. International Journal on E-Learning, 161–180.
- Lee, I. (1998). Supporting greater autonomy in language learning. Associated Press.
- Li, Q., Baker, R., & Warschauer, M. (2020). Using clickstream data to measure, understand, and support self-regulated learning in online courses. The Internet and Higher Education, 45, 100727.
- Mageau, G. A., & Vallerand, R. J. (2003). The coach--athlete relationship: A motivational model. Journal of Sports Science, 21(11), 883–904.
- Masland, L. C. (2021). Resilient pedagogy and self-determination: Unlocking student engagement in uncertain times. Utah State University. https://doi.org/10.26079/a516-fb24
- Morris, S. S. (1995). The relationship between self-directed learning readiness and academic performance in a nontraditional higher education program. The University of Oklahoma.
- Noben, I., Maulana, R., Deinum, J. F., & Hofman, W. H. A. (2021). Measuring university teachers’ teaching quality: A Rasch modelling approach. Learning Environments Research, 24, 87–107.
- Vansteenkiste, M., Smeets, S., Soenens, B., Lens, W., Matos, L., & Deci, E. L. (2010). Autonomous and controlled regulation of performance-approach goals: Their relations to perfectionism and educational outcomes. Motivation and Emotion, 34, 333–353.
- Xie, Z. (2020). Effectiveness of autonomous learning materials for students during the COVID-19 pandemic: A case study of the Daxie Second Elementary School in Ningbo, Zhejiang, China. Sci Insigt Edu Front, 6(1), 613–624.
- Zhan, Y., Jiang, Y., Wan, Z. H., & Guo, J. J. (2021). Is there an “expectancy$times$ value” effect? Investigating the impact of self-efficacy and learning motives on Chinese undergraduates’ use of deep language learning strategies. The Asia-Pacific Education Researcher, 30, 83–94.