Trends in 21st-Century Learning Technology Research: Digital Transformation, AI, and Adaptive Learning

Authors

DOI:

https://doi.org/10.66031/jinea.v2i3.712

Keywords:

Digital Transformation, Artificial Intelligence, Adaptive Learning, Generative AI, Human-Centered AI

Abstract

The rapid evolution of digital technologies, artificial intelligence (AI), and adaptive learning is reshaping 21st-century education, yet their interrelationships and research trajectories remain fragmented. This study systematically reviews research published from 2020 to 2026 to examine the evolution, dominant and emerging themes, and conceptual relationships across digital transformation, AI, and adaptive learning. Using a systematic literature review with thematic synthesis, relevant studies were analyzed temporally and thematically to identify shifts in research orientation and emerging directions. The findings reveal a progressive transition from technology integration and digital learning environments toward intelligent tutoring, personalization, adaptive learning, and, more recently, generative AI and human–AI collaboration. Conceptually, digital transformation functions as the enabling ecosystem, AI as an intelligent capability, and adaptive learning as a learner-responsive application. Importantly, AI-enabled personalization does not necessarily constitute adaptive learning; meaningful adaptation requires continuous responsiveness to learner performance, needs, feedback, and learning trajectories. The synthesis further indicates that technological advancement alone is insufficient, highlighting teacher agency, learner autonomy, organizational readiness, data governance, and ethical accountability. The study proposes a human-centered and responsible orientation in which AI augments pedagogical judgment rather than displacing it.

Downloads

Download data is not yet available.

References

Abulibdeh, A., Zaidan, E., & Abulibdeh, R. (2024). Navigating the confluence of artificial intelligence and education for sustainable development in the era of Industry 4.0: Challenges, opportunities, and ethical dimensions. Journal of Cleaner Production, 437, 140527. https://doi.org/10.1016/j.jclepro.2023.140527

Bates, T., Cobo, C., Mariño, O., & Wheeler, S. (2020). Can artificial intelligence transform higher education? International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-020-00218-x

Bhutoria, A. (2022). Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a human-in-the-loop model. Computers and Education: Artificial Intelligence, 3, 100068. https://doi.org/10.1016/j.caeai.2022.100068

Bozkurt, A., Karadeniz, A., Baneres, D., Guerrero-Roldán, A. E., & Rodríguez, M. E. (2021). Artificial intelligence and reflections from the educational landscape: A review of AI studies in half a century. Sustainability, 13(2), 800. https://doi.org/10.3390/su13020800

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510

Chiu, T. K. F. (2024). Future research recommendations for transforming higher education with generative AI. Computers and Education: Artificial Intelligence, 6, 100197. https://doi.org/10.1016/j.caeai.2023.100197

Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118

Christodoulou, A., & Angeli, C. (2022). Adaptive learning techniques for a personalized educational software in developing teachers’ technological pedagogical content knowledge. Frontiers in Education, 7, 789397. https://doi.org/10.3389/feduc.2022.789397

Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00392-8

Doroudi, S. (2023). The intertwined histories of artificial intelligence and education. International Journal of Artificial Intelligence in Education, 33(4). https://doi.org/10.1007/s40593-022-00313-2

García-Martínez, J. A., Rosa-Napal, F. C., Romero-Tabeayo, I., López-Calvo, S., & Fuentes-Abeledo, E. J. (2020). Digital tools and personal learning environments: An analysis in higher education. Sustainability, 12(19), 8180. https://doi.org/10.3390/su12198180

Giannakos, M., Azevedo, R., Brusilovsky, P., Cukurova, M., Dimitriadis, Y., Hernandez-Leo, D., Järvelä, S., Mavrikis, M., & Rienties, B. (2025). The promise and challenges of generative AI in education. Behaviour & Information Technology, 44(11), 2518–2544. https://doi.org/10.1080/0144929X.2024.2394886

Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216

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). https://doi.org/10.1016/j.ijis.2020.09.001

Hall, R. (2024). Generative AI and re-weaving a pedagogical horizon of social possibility. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00445-6

Hamal, O., El Faddouli, N. E., Alaoui Harouni, M. H., & Lu, J. (2022). Artificial intelligence in education. Sustainability, 14(5), 2862. https://doi.org/10.3390/su14052862

Kaplan-Rakowski, R., Grotewold, K., Hartwick, P., & Papin, K. (2023). Generative AI and teachers’ perspectives on its implementation in education. Journal of Interactive Learning Research, 34(2), 313–338. https://doi.org/10.70725/815246mfssgp

Kim, J., Lee, H., & Cho, Y. H. (2022). Learning design to support student–AI collaboration: Perspectives of leading teachers for AI in education. Education and Information Technologies, 27(5), 6069–6104. https://doi.org/10.1007/s10639-021-10831-6

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). https://doi.org/10.1186/s40561-023-00260-y

Liu, H. L., Wang, T. H., Lin, H. C. K., Lai, C. F., & Huang, Y. M. (2022). The influence of affective feedback adaptive learning system on learning engagement and self-directed learning. Frontiers in Psychology, 13, 858411. https://doi.org/10.3389/fpsyg.2022.858411

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). https://doi.org/10.1109/MSP.2021.3055032

Mirata, V., & Bergamin, P. (2023). Role of organisational readiness and stakeholder acceptance: An implementation framework of adaptive learning for higher education. Educational Technology Research and Development, 71(4). https://doi.org/10.1007/s11423-023-10248-7

Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., McGuinness, L. A., Stewart, L. A., Thomas, J., Tricco, A. C., Welch, V. A., Whiting, P., & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. International Journal of Surgery, 88, 105906. https://doi.org/10.1016/j.ijsu.2021.105906

Reddy, P., Chaudhary, K., & Hussein, S. (2023). A digital literacy model to narrow the digital literacy skills gap. Heliyon, 9(4), e14878. https://doi.org/10.1016/j.heliyon.2023.e14878

Sharples, M. (2023). Towards social generative AI for education: Theory, practices and ethics. Learning: Research and Practice, 9(2), 159–167. https://doi.org/10.1080/23735082.2023.2261131

Sidik, D. P. (2026). The role of artificial intelligence in adaptive learning for enhancing student engagement in junior high schools. JINEA: Journal of Innovation in Education and Learning, 2(2), 93–106. https://doi.org/10.66031/jinea.v2i2.374

Sidik, D. P., Irawijayanti, F., & Baihaqi, A. (2025). Digital learning 5.0: Leveraging adaptive, immersive, and inclusive technologies to overcome educational inequity. JINEA: Journal of Innovation in Education and Learning, 1(2), 75–92. https://doi.org/10.66031/jinea.v1i2.11

Sidik, D. P., Irawijayanti, F., & Fatqurhohman, F. (2025). The role of artificial intelligence in enhancing digital and data literacy among secondary school students: A systematic literature review. JINEA: Journal of Innovation in Education and Learning, 1(3), 173–188. https://doi.org/10.66031/jinea.v1i3.38

Sidik, D. P., Rozak, A., Fatqurhohman, F., & Fatkurochman, H. (2025). Literature review of artificial intelligence in learning: Trends and opportunities. RESET: Review of Education, Science, and Technology, 1(1), 43–54. https://doi.org/10.66031/reset.v1i1.19

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

Timotheou, S., Miliou, O., Dimitriadis, Y., Sobrino, S. V., Giannoutsou, N., Cachia, R., Monés, A. M., & Ioannou, A. (2023). Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review. Education and Information Technologies, 28(6). https://doi.org/10.1007/s10639-022-11431-8

Xu, W., & Ouyang, F. (2022). The application of AI technologies in STEM education: A systematic review from 2011 to 2021. International Journal of STEM Education, 9(1). https://doi.org/10.1186/s40594-022-00377-5

Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence, 2, 100025. https://doi.org/10.1016/j.caeai.2021.100025

Zou, Y., Kuek, F., Feng, W., & Cheng, X. (2025). Digital learning in the 21st century: Trends, challenges, and innovations in technology integration. Frontiers in Education, 10, 1562391. https://doi.org/10.3389/feduc.2025.1562391

Downloads

Published

10-10-2026

Data Availability Statement

All data generated or analyzed during this study are included in this published article. Additional datasets are available from the corresponding author upon reasonable request.

Issue

Section

Articles

How to Cite

Addison, L. N., Elizabeth, L., & Fatqurhohman, F. (2026). Trends in 21st-Century Learning Technology Research: Digital Transformation, AI, and Adaptive Learning. JINEA: Journal of Innovation in Education and Learning, 2(3), 205-220. https://doi.org/10.66031/jinea.v2i3.712