AI-Driven Lifelong Learning: Transforming Higher Education in Rural Bangladesh – A Review Article
Keywords:
Lifelong Learning, Artificial Intelligence, Higher Education, Rural BangladeshAbstract
The article describes the revolutionary change of artificial intelligence (AI) in lifelong learning (LLL) amidst a transnational higher education in rural Bangladesh context. The traditional education system is being replaced by evolving technologies, in this era of traditional systems. Lifelong learning is not a static destination but rather a dynamic journey, as the learning expertise can shape various demands in different geographical and cultural settings. The multiple uses of technologies in lifelong learning modify the routine of memorization and delve into some key features and approaches, including adaptive learning technologies, and AI-driven learning methods. This article discusses the scope of LLL, different approaches, and the assessment of the readiness of educators and institutions, and how AI can contribute to lifelong learning in the rural Bangladesh context. Through this exploration, the article highlights the potential and emerging challenges in the use of AI. By reshaping the existing higher education system, AI will bridge the educational divide and promote personalized assistance in the rural Bangladeshi context.
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Abe, E. N., Abe, I. I., & Adisa, O. (2021). Future of Work: Skill Obsolescence, Acquisition of New Skills, and Upskilling in the 4. In E. N. Abe (Ed.), Future of Work, Work-Family Satisfaction, and Employee Well-Being in the Fourth Industrial Revolution (PP. 217-231). IGI Global. https://doi.org/10.4018/978-1-7998-3347-5.ch015
Ackerman, P. L., & Kanfer, R. (2020). Work in the 21st century: New directions for aging and adult development. American Psychologist, 75(4), 486.
Alam, A. (2021). Possibilities and Apprehensions in the Landscape of Artificial Intelligence in Education. 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), 1–8. https://doi.org/10.1109/ICCICA52458.2021.9697272
Alam, A. (2021). Possibilities and Apprehensions in the Landscape of Artificial Intelligence in Education. International Conference on Computational Intelligence and Computing Applications, Las Vegas, 26-27 November 2021, 1-8.
https://doi.org/10.1109/iccica52458.2021.9697272
Ali, A. A. S., & Shandilya, V. K. (2021). AI-Natural Language Processing (NLP). International Journal for Research in Applied Science and Engineering Technology, 9, 135–140.
Alkhatlan, A., & Kalita, J. (2018). Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments (No. arXiv:1812.09628). arXiv. http://arxiv.org/abs/1812.09628
Anantrasirichai, N., & Bull, D. (2022). Artificial intelligence in creative industries: A review. Artificial Intelligence Review, 55(1), 589–656. https://doi.org/10.1007/s10462-021-10039-7
Antony, E. (2022). Influence of AI in education system. Psycho-Technological Approaches in Heutagogy, 73.
Aytaç, Z. (2024). Using Artificial Intelligence Tools in Higher Education. In Innovation in the University 4.0 System based on Smart Technologies (pp. 164–175). Chapman and Hall/CRC. https://www.taylorfrancis.com/chapters/edit/10.1201/9781003425809-11/using-artificial-intelligence-tools-higher-education-zeynep-ayta%C3%A7
Billiot, T. (2023). Continuous learning and advancing technologies: A framework for professional development and training in artificial intelligence. Development and Learning in Organizations: An International Journal, 37(3), 28–31. https://doi.org/10.1108/DLO-04-2022-0064
Božić, V. (2023). Artificial intelligence in education [Unpublished manuscript]. https://doi.org/10.13140/RG.2.2.33278.25925
Burrack, F., & Thompson, D. (2021). Canvas (LMS) as a means for effective student learning assessment across an institution of higher education. Journal of Assessment in Higher Education, 2(1), 1–19.
Cevallos, N., Zukotynski, B., Greig, D., Silva, M., & Thompson, R. M. (2022). The utility of virtual reality in orthopedic surgical training. Journal of Surgical Education, 79(6), 1516–1525.
Christensen, R., & Knezek, G. (2017). Readiness for integrating mobile learning in the classroom: Challenges, preferences and possibilities. Computers in Human Behavior, 76, 112–121. https://doi.org/10.1016/j.chb.2017.07.014
Chuang, S. (2021). The Applications of Constructivist Learning Theory and Social Learning Theory on Adult Continuous Development. Performance Improvement, 60(3), 6–14. https://doi.org/10.1002/ pfi.21963
Chubb, J., Cowling, P., & Reed, D. (2022). Speeding up to keep up: Exploring the use of AI in the research process. AI & Society, 37(4), 1439–1457. https://doi.org/10.1007/s00146-021-01259-0
Elliott, D., & Soifer, E. (2022). AI Technologies, Privacy, and Security. Frontiers in Artificial Intelligence, 5. https://doi.org/10.3389/frai.2022.826737
Felzmann, H., Villaronga, E. F., Lutz, C., & Tamò-Larrieux, A. (2019). Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns. Big Data & Society, 6(1), 2053951719860542. https://doi.org/10.1177/2053951719860542
Fidalgo, P., & Thormann, J. (2024). The future of lifelong learning: The role of artificial intelligence and distance education.
Firat, M. (2023). Integrating AI Applications into Learning Management Systems to Enhance e-Learning. Öğretim Teknolojisi ve Hayat Boyu Öğrenme Dergisi - Instructional Technology and Lifelong Learning, 1–14. https://doi.org/10.52911/ itall.1244453
Golonka, E. M., Bowles, A. R., Frank, V. M., Richardson, D. L., & Freynik, S. (2014). Technologies for foreign language learning: A review of technology types and their effectiveness. Computer Assisted Language Learning, 27(1), 70–105. https://doi.org/10.1080/09588221.2012.700315
Grams, D. (2018). A quantitative study of the use of DreamBox learning and its effectiveness in improving math achievement of elementary students with math difficulties [PhD Thesis, Northcentral University]. https://search.proquest. com/openview/e110dfbfb3589901b9d58b1348df7aed/1?pq-origsite= gscholar&cbl=18750
Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(4), 134–147.
Guven, T., Geraci, C., Green, J., Neist, J., Gopalakrishnan, M., Bhatt, P., Cupino, T., & Azzam, A. (2020). Learning through Osmosis: A global Wikipedia editing course for medical students. MedEdPublish, 9. https://www.ncbi.nlm.nih.gov/pmc/articles/ PMC10702862/
Harry, A., & Sayudin, S. (2023). Role of AI in Education. Interdisciplinary Journal and Humanity (INJURITY), 2(3), 260–268.
Homayouni, L., Hejazi, Y., & Zarifsanaiey, N. (2024). A review of ethical considerations in using artificial intelligence in e-learning. 11th International and the 17th National Conference on E-Learning and E-Teaching (ICeLeT), 1–6. https://doi.org/10.1109 /ICeLeT62507.2024.10493100
Jian, M. (2023). Personalized learning through AI. Advances in Engineering Innovation, 5(1). https://pdfs.semanticscholar.org/d749/87236f87428893eec23c8489d3117f1cd296.pdf
Jumaev, G. (2024). The Impact of AI on Job Market: Adapting to the Future of Work. Modern Science and Research, 3(1). https://inlibrary.uz/index.php/ science-research/article/view/28146
Jumaev, G. (2024). The impact of AI on the job market: Adapting to the future of work. Modern Science and Research, 3(1). https://inlibrary.uz/index.php/ science-research/article/view/28146
Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of literature. Computers and Education: Artificial Intelligence, 2, 100017.
Kasinathan, V., Mustapha, A., & Medi, I. (2017). Adaptive learning system for higher learning. 2017 8th International Conference on Information Technology (ICIT), 960–970. https://ieeexplore. ieee.org/abstract/document/8079975
Kaswan, K. S., Dhatterwal, J. S., & Ojha, R. P. (2024). AI in personalized learning. In Advances in Technological Innovations in Higher Education (pp. 103–117). https://www.taylorfrancis.com/chapters/ edit/10.1201/9781003376699-9/ai-personalized-learning-kuldeep-singh-kaswan-jagjit-singh-dhatterwal-rudra-pratap-ojha
Khandelwal, K., & Upadhyay, A. K. (2021). The advent of artificial intelligence-based coaching. Strategic HR Review, 20(4), 137–140.
Kim, J., & Park, C. (2020). Education, skill training, and lifelong learning in the era of technological revolution: A review. Asian-Pacific Economic Literature, 34(2), 3–19. https://doi.org/10.1111/ apel.12299
Kizito, O., & Kayi, O., Modest. (2024). Global Perspectives on Micro-Learning and Micro-Credentials in Higher Education. IGI Global.
DOI: 10.4018/979-8-3693-0343-6
Kondaveeti, H. K., Kumar, S. V., Manusree, A. V. N., Vatsavayi, V. K., & Ananthachari, P. (2024). Role of AI in Academic Research. In Utilizing AI Tools in Academic Research Writing (pp. 1–17). IGI Global. https://www.igi-global.com/chapter/role-of-ai-in-academic-research/346246
Liang, Y., Liang, Y., & Shen, L. (2020). Artificial Intelligence in Education: Logical Foundation, Current Progress and Future Prospect. International Conference on Education, Management, Economics, Law and Social Sciences, 12–18. http://166.62.7.99/conferences/LNEMSS/EMELS%202020/EMELS003.pdf
Lin, C.-C., Huang, A. Y. Q., & Lu, O. H. T. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: A systematic review. Smart Learning Environments, 10(1), 41. https://doi.org/10.1186/s40561-023-00260-y
Macdonald, J., & Poniatowska, B. (2011). Designing the professional development of staff for teaching online: An OU (UK) case study. Distance Education, 32(1), 119–134. https://doi.org/10.1080/01587919.2011.565481
Maghsudi, S., Lan, A., Xu, J., & van der Schaar, M. (2021). Personalized education in the artificial intelligence era: What to expect next. IEEE Signal Processing Magazine, 38(3), 37–50. https://doi.org/10.1109/ MSP.2021.3055032
Martins, M. R. (2023). From on-premise to cloud: Evolving IT infrastructure for the AI age. World Journal of Advanced Research and Reviews, 20(3), 1898–1934, https://doi.org/10.30574/wjarr.2023. 20.3.1590
Murtaza, M., Ahmed, Y., Shamsi, J. A., Sherwani, F., & Usman, M. (2022). AI-based personalized e-learning systems: Issues, challenges, and solutions. IEEE Access, 10(18), 81323–81342.
Noguez, C. A., Elizalde, L. M., & Acebo, C. B. (2024). The Hypercube Model: Advancing Digital Inclusion Initiatives. Edulearn24 Proceedings, 1651–1657. 16th International Conference on Education and New Learning Technologies. https://doi.org/ 10.21125/ edulearn.2024.0507
Parycek, P., Schmid, V., & Novak, A.-S. (2023). Artificial intelligence and automation in administrative procedures: Potentials, limitations, and framework conditions. Journal of the Knowledge Economy, 15(2), 8390–8415. https://doi.org/10.1007/s13132-023-01433-3
Plathottam, S. J., Rzonca, A., Lakhnori, R., & Iloeje, C. O. (2023). A review of artificial intelligence applications in manufacturing operations. Journal of Advanced Manufacturing and Processing, 5(3), DOI: 10.1002/amp2.10159
Pratama, M. P., Sampelolo, R., & Lura, H. (2023). Revolutionizing education: Harnessing the power of artificial intelligence for personalized learning. Klasikal Journal of Education, Language Teaching and Science, 5(2), 350–357.
DOI: 10.52208/klasikal.v5i2.877
Romero, M. (2024). Lifelong learning challenges in the era of artificial intelligence: A computational thinking perspective. arXiv:2405.19837. https://doi.org/10.48550/arXiv.2405.19837
Salhab, R. (2024). AI Literacy across Curriculum Design: Investigating College Instructors’ Perspectives. Online Learning, 28(2). https://eric.ed.gov/? id=EJ1428258
Samah, N. A., Yahaya, N., & Ali, M. B. (2011). Individual differences in online personalized learning environment. Educational Research and Reviews, 6(7), 516–521.
Saqr, R. R., Al-Somali, S. A., & Sarhan, M. Y. (2023). Exploring the acceptance and user satisfaction of AI-driven e-learning platforms (Blackboard, Moodle, Edmodo, Coursera and edX): An integrated technology model. Sustainability, 16(1), 204.
Shelle, G., Earnesty, D., Pilkenton, A., & Powell, E. (2018). Adaptive Learning: An Innovative Method for Online Teaching and Learning. Journal of Extension, 56(5). https://doi.org/10.34068/ joe.56.05.17
Shilowaras, M., & Jusoh, N. A. (2022). Implementing artificial intelligence chatbot in moodle learning management system. Engineering, Agriculture, Science and Technology Journal (EAST-J), 1(1), 70–75.
Slimi, Z., & Carballido, B. V. (2023). Systematic Review: AI’s Impact on Higher Education-Learning, Teaching, and Career Opportunities. TEM Journal, 12(3), 1627.
Taylor, D.L., Yeung, M., & Bashet, A.Z. (2021). Personalized and Adaptive Learning. Innovative Learning Environments in STEM Higher Education. DOI:10.1007/978-3-030-58948-6_2
Tolentino, R., Baradaran, A., Gore, G., Pluye, P., & Abbasgholizadeh-Rahimi, S. (2024). Curriculum Frameworks and Educational Programs in AI for Medical Students, Residents, and Practicing Physicians: Scoping Review. JMIR Medical Education, 10(1), e54793. https://doi.org/ 10.2196/54793
Tolentino R, Baradaran A, Gore G, Pluye P, Abbasgholizadeh-Rahimi S. Curriculum Frameworks and Educational Programs in AI for Medical Students, Residents, and Practicing Physicians: Scoping Review. JMIR Med Educ. 2024 Jul 18;10: e54793. doi: 10.2196/54793. PMID: 39023999; PMCID: PMC11294785.
Ungerer, L., & Slade, S. (2022). Ethical Considerations of Artificial Intelligence in Learning Analytics in Distance Education Contexts. In P. Prinsloo, S. Slade, & M. Khalil (Eds.), Learning Analytics in Open and Distributed Learning: Potential and Challenges (pp. 105–120). Springer Nature. https://doi.org/10.1007/978-981-19-0786-9_8
Wang, H., & Woodworth, K. (2011). Evaluation of Rocketship Education’s use of Dream Box Learning’s online mathematics program. Center for Education Policy. https://info.discoveryeducation. com/rs/063-SDC-839/images/ef-2011-08-SRI_ Rocketship_Evaluation.pdf
Zamecnik, A., Kovanović, V., Joksimović, S., & Liu, L. (2022). Exploring non-traditional learner motivations and characteristics in online learning: A learner profile study. Computers and Education: Artificial Intelligence, 3, 100051. https://doi.org/10.1016/j.caeai.2022.100051
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