Creating AI for Future Education and Skills Development
Keywords:
Artificial intelligence, Digital education, Future skills, Integrated learning, Educational reformAbstract
This article explores the role of Artificial Intelligence (AI) in the development of future learning and essential skills by conducting a comprehensive analysis of AI applications in education. Through a review of existing literature and case studies, the study examines the potential impacts and challenges associated with integrating AI into educational systems. The findings indicate that AI holds significant potential to transform teaching and learning, particularly through the creation of adaptive learning environments, the provision of immediate feedback, and the support of inquiry-based learning. These applications are crucial for fostering key 21st-century skills, such as critical thinking, creativity, and collaboration. However, the implementation of AI in education must consider disparities in access to technology, data security, and ethical concerns. The article advocates for the development of national policies, increased investment in infrastructure, and curriculum reforms to effectively incorporate AI into the Thai education system. A balanced approach that leverages AI technology while prioritizing the development of human skills is recommended to ensure sustainable preparation for future challenges.
References
Admiraal, W., Huizenga, J., Heemskerk, I., Kuiper, E., Volman, M., & ten Dam, G. (2019). The concept of flow in collaborative game-based learning. Computers & Education, 128, 15–24.
Baker, R. S., & Hawn, A. (2021). Algorithmic bias in education. International Journal of Artificial Intelligence in Education, 31(1), 64–81.
Baker, T., & Smith, L. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. London, UK: Nesta.
Care, E., Kim, H., Vista, A., & Anderson, K. (2019). Education system alignment for 21st century skills: Focus on assessment. Washington, DC: Center for Universal Education at the Brookings Institution.
Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial Intelligence trends in education: A narrative overview. Procedia Computer Science, 136, 16–24.
Chatti, M. A., Dyckhoff, A. L., Schroeder, U., & Thüs, H. (2014). A reference model for learning analytics. International Journal of Technology Enhanced Learning, 6(4), 318–331.
Chen, X., & Yang, F. (2019). The effects of AI-based problem-solving system on critical thinking in science education. Journal of Computer Assisted Learning, 35(4), 513–526.
Craig, S. D., Hu, X., Graesser, A. C., Bargagliotti, A. E., Sterbinsky, A., Cheney, K. R., & Okwumabua, T. (2013). The impact of a technology-based mathematics after-school program using ALEKS on student’s knowledge and behaviors. Computers & Education, 68, 495–504.
Cukurova, M., Kent, C., & Luckin, R. (2020). Artificial intelligence and multimodal data in the service of human decision-making: A case study in debate tutoring. British Journal of Educational Technology, 51(1), 1171–1186.
D’Mello, S., Dieterle, E., & Duckworth, A. (2018). Advanced, analytic, automated (AAA) measurement of engagement during learning. Educational Psychologist, 52(2), 104–123.
du Boulay, B. (2016). Artificial intelligence as an effective classroom assistant. IEEE Intelligent Systems, 31(6), 76–81.
Holmes, W., & Porayska-Pomsta, K. (2018). Artificial Intelligence in education: Identifying and addressing challenges. London, UK: UCL Knowledge Lab.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Boston: Center for Curriculum Redesign.
Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., ... & Koedinger, K. R. (2021). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 31(1), 1–23.
Jensen, L., & Konradsen, F. (2018). A review of the use of virtual reality head-mounted displays in education and training. Education and Information Technologies, 23(4), 1515–1529.
Johnson, W. L., & Lester, J. C. (2016). Face-to-face interaction with pedagogical agents, twenty years later. International Journal of Artificial Intelligence in Education, 26(1), 25–36.
Lajoie, S. P., & Lesgold, A. (In Press). Apprenticeship training in the workplace: Computer-coached practice environment as a new form of apprenticeship. Machine-Mediated Learning, 3, 7–28.
Lee, D., Huh, Y., Lin, C. Y., & Reigeluth, C. M. (2018). Technology functions for personalized learning in learner-centered schools. Educational Technology Research and Development, 66(5), 1269–1302.
Lesgold, A., Lajoie, S., Bunzo, M., & Eggan, G. (1992). SHERLOCK: A coached practice environment for an electronics troubleshooting job. In J. Larkin & R. Chabay (Eds.), Computer-assisted instruction and intelligent tutoring systems: Shared goals and complementary approaches (pp. 201–238). Hillsdale, NJ: Lawrence Erlbaum Associates.
Liu, D., Bhagat, K. K., Gao, Y., Chang, T. W., & Huang, R. (2017). The potentials and trends of virtual reality in education. In D. Liu, C. Dede, R. Huang, & J. Richards (Eds.), Virtual, augmented, and mixed realities in education (pp. 105–130). Singapore: Springer.
Loeckx, J. (2016). Blurring boundaries in education: Context and impact of MOOCs. International Review of Research in Open and Distributed Learning, 17(3), 92–121.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. London, UK: Pearson.
Makransky, G., & Petersen, G. B. (2021). The cognitive affective model of immersive learning (CAMIL): A theoretical research-based model of learning in immersive virtual reality. Educational Psychology Review, 33(3), 937–958.
McKinsey Global Institute. (2018). Skill shift: Automation and the future of the workforce. New York, NY: McKinsey & Company.
Mikropoulos, T. A., & Natsis, A. (2011). Educational virtual environments: A ten-year review of empirical research (1999–2009). Computers & Education, 56(3), 769–780.
Ministry of Education Singapore. (2022). Artificial intelligence in education. Singapore: Ministry of Education. Retrieved May 4, 2024, from https://www.moe.gov.sg/education-in-sg/educational-technology-journey/edtech-masterplan/artificial-intelligence-in-education
Nye, B. D. (2015). Intelligent tutoring systems by and for the developing world: A review of trends and approaches for educational technology in a global context. International Journal of Artificial Intelligence in Education, 25(2), 177–203.
Nye, B. D., Graesser, A. C., & Hu, X. (2014). AutoTutor and family: A review of 17 years of natural language tutoring. International Journal of Artificial Intelligence in Education, 24(4), 427–469.
OECD. (2018). The future of education and skills: Education 2030. Paris, France: OECD Publishing.
OECD. (2021). OECD digital education outlook 2021: Pushing the frontiers with artificial intelligence, blockchain and robots. Paris, France: OECD Publishing.
Office of the Education Council. (2022). Education in Thailand 2022. Bangkok: Ministry of Education. Retrieved May 4, 2024, from https://www.onec.go.th/th.php/book/BookView/2057
Olsen, J. K., Rummel, N., & Aleven, V. (2020). It is not either or: An initial investigation into combining collaborative and individual learning using an ITS. International Journal of Computer-Supported Collaborative Learning, 15(2), 137–164.
Pane, J. F., Griffin, B. A., McCaffrey, D. F., & Karam, R. (2014). Effectiveness of Cognitive Tutor Algebra I at scale. Educational Evaluation and Policy Analysis, 36(2), 127–144.
Pugliese, L. (2016). Adaptive learning systems: Surviving the storm. EDUCAUSE Review, 51(3), 32–45.
Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582–599.
Rummel, N. (2018). One framework to rule them all? Scientific and educational perspectives on collaboration competence. International Journal of Computer-Supported Collaborative Learning, 13(1), 1–34.
Russell, S. J., & Norvig, P. (2020). Artificial intelligence: A modern approach (4th ed.). London, UK: Pearson.
Scherer, R., & Siddiq, F. (2019). The relation between students’ socioeconomic status and ICT literacy: Findings from a meta-analysis. Computers & Education, 138, 13–32.
Selwyn, N. (2019). What is digital sociology? Oxford, UK: Polity Press.
Siemens, G., & Long, P. (2011). Penetrating the fog: Analytics in learning and education. EDUCAUSE Review, 46(5), 30–40.
Sirisrisak, T., Chatwattana, P., & Wannapiroon, P. (2021). Chatbot development as a digital learning tool to increase students’ research knowledge. International Education Studies, 14(2), 44–53. https://doi.org/10.5539/ies.v14n2p44
Slade, S., & Prinsloo, P. (2013). Learning analytics: Ethical issues and dilemmas. American Behavioral Scientist, 57(10), 1510–1529.
Tan, J. P.-L., Chao, L., & Sung, Y. T. (2021). AI in education: A systematic literature review. Computers and Education: Artificial Intelligence, 2, 100021.
Touretzky, D., Gardner-McCune, C., Martin, F., & Seehorn, D. (2019). Envisioning AI for K-12: What should every child know about AI? Proceedings of the AAAI Conference on Artificial Intelligence, 33(1), 9795–9799.
VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 46(4), 197–221.
Ventura, M., Chang, M., Foltz, P., Mukhi, N., Yarbro, J., Salverda, A. P., ... & Marvaniya, S. (2018). Preliminary evaluations of a dialogue-based digital tutor. In R. Nkambou, R. Azevedo, & J. Vassileva (Eds.), Intelligent Tutoring Systems (pp. 480–485). Cham, Switzerland: Springer.
World Economic Forum. (2020). The future of jobs report 2020. Geneva, Switzerland: World Economic Forum. Retrieved May 4, 2024, from https://www.weforum.org/publications/the-future-of-jobs-report-2020/
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
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