Advancements in Learning Content Management Systems (LCMSs): Shaping the Future of Digital English Language Education in Arabic Language Context A Case Study of Saudi Technical Colleges

Popoola Kareem Hamed, Ahmed Abdullah Alnaji Alqahtani

Abstract


This study examines the impact of recent advancements in Learning Content Management Systems (LCMSs) on digital English language education at Saudi technical colleges. Using a mixed-methods research design, quantitative data were collected from 312 students and 48 English language instructors across five technical colleges, complemented by qualitative interviews. Statistical analysis revealed a significant improvement in students’ English language performance following LCMS integration, with mean achievement scores increasing from 63.4% to 78.9% (p < .01). Learner engagement indicators also showed notable growth, as 72% of students reported higher motivation levels and 68% demonstrated improved participation in online learning activities. From the instructors’ perspective, 81% reported enhanced efficiency in content development and assessment management, while LCMS analytics contributed to a 35% reduction in instructional planning time. Regression analysis further indicated that adaptive content delivery and multimedia integration were significant predictors of learning achievement (R² = .42). Despite these positive outcomes, the findings also highlight challenges, including varying levels of digital competency among faculty and infrastructure constraints reported by 29% of respondents. Overall, the study confirms that advancements in LCMSs play a transformative role in shaping learner-centered, data-driven English language education at Saudi technical colleges, while underscoring the need for sustained institutional support and professional development.

Keywords


Learning Content Management Systems; LCMSs; Digital English Language; Arabic Language Context; Saudi Technical Colleges

References


Al-Fraihat, D., Joy, M., Masa’deh, R., & Sinclair, J. (2020). Evaluating e-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86.

Al-Fraihat, D., Joy, M., Masa’deh, R., & Sinclair, J. (2020). Evaluating e-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86.

Alharthi, H. (2020). Factors influencing e-learning adoption in higher education: Evidence from Saudi Arabia. Education and Information Technologies, 25(4), 2845–2865.

Alharthi, H. (2020). Factors influencing e-learning adoption in higher education: Evidence from Saudi Arabia. Education and Information Technologies, 25(4), 2845–2865.

Alharthi, H., & Shuayb, M. (2021). Student perceptions of learning management systems: A Saudi perspective. International Journal of Emerging Technologies in Learning, 16(3), 112–127.

Alharthi, H., & Shuayb, M. (2021). Student perceptions of learning management systems: A Saudi perspective. International Journal of Emerging Technologies in Learning, 16(3), 112–127.

Al-Qahtani, A. (2019). Technical education in Saudi Arabia: Challenges and opportunities. Journal of Technical Education, 14(2), 45–57.

Al-Shehri, S. (2020). Digital transformation in Saudi higher education: A case study. Education Sciences, 10(12), 360.

Branch, R. M. (2009). Instructional design: The ADDIE approach. Springer.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.

Brown, A., & Green, T. (2019). The essentials of instructional design: Connecting fundamental principles with process and practice. Routledge.

Brown, A., & Green, T. (2019). The essentials of instructional design: Connecting fundamental principles with process and practice. Routledge.

Chen, L. (2021). Adaptive learning technologies in language education. Computers & Education, 164, 104123.

Chen, L. (2021). Adaptive learning technologies in language education. Computers & Education, 164, 104123.

Chen, L. (2021). Adaptive learning technologies in language education. Computers & Education, 164, 104123.

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.

Johnson, M., Adams Becker, S., Estrada, V., & Freeman, A. (2020). NMC Horizon Report: 2020 Higher Education Edition. EDUCAUSE.

Johnson, M., Adams Becker, S., Estrada, V., & Freeman, A. (2020). NMC Horizon Report: 2020 Higher Education Edition. EDUCAUSE.

Johnson, R. B., Onwuegbuzie, A. J., & Turner, L. A. (2007). Toward a definition of mixed methods research. Journal of Mixed Methods Research, 1(2), 112–133.

Kirkpatrick, D. (2018). The role of technology in English language teaching. ELT Journal, 72(2), 109–119.

Kukulska-Hulme, A., & Shield, L. (2018). Enhancing language learning through mobile technologies. ReCALL, 30(3), 320–334.

Kukulska-Hulme, A., & Shield, L. (2018). Enhancing language learning through mobile technologies. ReCALL, 30(3), 320–334.

Mahmoud, H. (2020). English language skills and employability of Saudi technical students. Journal of Education and Practice, 11(7), 56–67.

Mahmoud, H. (2020). English language skills and employability of Saudi technical students. Journal of Education and Practice, 11(7), 56–67.

Ministry of Education. (2021). Vision 2030 and higher education: Policy framework. Riyadh: Government of Saudi Arabia.

Molenda, M. (2003). In search of the elusive ADDIE model. Performance Improvement, 42(5), 34–36.

OECD. (2020). Digital education outlook 2020: Pushing the frontiers with AI and data analytics. OECD Publishing.

OECD. (2020). Digital education outlook 2020: Pushing the frontiers with AI and data analytics. OECD Publishing.

Pardo, A., Han, F., & Ellis, R. A. (2019). Combining learning analytics and pedagogical principles to improve learning outcomes. British Journal of Educational Technology, 50(6), 2940–2955.

Pardo, A., Han, F., & Ellis, R. A. (2019). Combining learning analytics and pedagogical principles to improve learning outcomes. British Journal of Educational Technology, 50(6), 2940–2955.

Selwyn, N. (2016). Education and technology: Key issues and debates (2nd ed.). Bloomsbury.

Selwyn, N. (2016). Education and technology: Key issues and debates (2nd ed.). Bloomsbury.

Siemens, G., & Long, P. (2011). Penetrating the fog: Analytics in learning and education. EDUCAUSE Review, 46(5), 30–40.

Siemens, G., & Long, P. (2011). Penetrating the fog: Analytics in learning and education. EDUCAUSE Review, 46(5), 30–40.

Siemens, G., & Long, P. (2011). Penetrating the fog: Analytics in learning and education. EDUCAUSE Review, 46(5), 30–40.

Sultana, R., & Akhter, S. (2020). Learning management systems and student engagement in higher education. Asian Journal of Distance Education, 15(2), 45–60.

Sultana, R., & Akhter, S. (2020). Learning management systems and student engagement in higher education. Asian Journal of Distance Education, 15(2), 45–60.

Watson, W. R. (2019). The evolution of learning content management systems. Journal of Educational Technology Systems, 48(2), 202–223.

Watson, W. R. (2019). The evolution of learning content management systems. Journal of Educational Technology Systems, 48(2), 202–223.

Watson, W. R. (2019). The evolution of learning content management systems. Journal of Educational Technology Systems, 48(2), 202–223.




DOI: https://doi.org/10.18860/ijazarabi.v9i3.41385

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