The Effect of Wearable Technologies on Smart Learning Experience and Real-Time Feedback
Keywords:
Wearable technologies, smart learning, real-time feedback, adaptive learning, data-driven educationAbstract
The study aimed to examine the impact of wearable technologies on enhancing smart learning experiences and real-time feedback in digital educational environments. This research employed a qualitative, systematic review design. Data were collected through an extensive search in Scopus, Web of Science, IEEE Xplore, SpringerLink, and Google Scholar databases between 2015 and 2025. From over 60 identified studies, 12 high-quality articles were selected based on inclusion criteria. Data were analyzed using NVivo version 14 through qualitative content analysis involving open, axial, and selective coding until theoretical saturation was reached. The main themes extracted included “Enhancing Learning Experience,” “Real-Time Feedback and Learner Data Analysis,” and “Challenges and Future of Wearable Technologies in Smart Education.” The findings revealed that wearable technologies enhance self-monitoring, personalized learning, and multisensory engagement by integrating physiological and cognitive data into the learning process. These devices also improve learner-content interaction through real-time feedback and adaptive response systems. Nevertheless, ethical issues, data security, technical constraints, and user resistance remain significant barriers to their widespread adoption in educational contexts. Wearable technologies can serve as pivotal tools in transforming smart learning environments and developing adaptive feedback systems. Despite existing ethical and technical challenges, these technologies hold great potential for improving instructional quality, fostering self-regulation, and personalizing the learning experience.
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References
Alshahrani, S. (2020). Privacy and ethical challenges of wearable devices in educational contexts. Computers & Education, 158, 103989.
Chen, M., Ma, Y., & Zhang, Y. (2022). Intelligent feedback systems based on wearable sensors for personalized learning. IEEE Transactions on Learning Technologies, 15(3), 412–425.
Farahani, A., & Luo, J. (2023). Emotional data privacy in wearable learning environments: A systematic review. Education and Information Technologies, 28(5), 6233–6255.
Gonzalez, P., Torres, M., & Lopez, D. (2024). Smart learning analytics: Integrating wearable data with adaptive feedback systems. Computers in Human Behavior, 149, 107938.
Huang, R., Liu, D., & Wang, Y. (2020). Real-time adaptive learning through wearable technologies. British Journal of Educational Technology, 51(4), 1359–1374.
Hwang, G. J., & Chien, S. Y. (2022). Definition, framework, and research issues of smart learning environments: A review. Computers & Education, 179, 104415.
Kang, M., Lee, H., & Park, J. (2020). Multi-sensory learning experiences with wearable devices in digital classrooms. Educational Technology Research and Development, 68(6), 3321–3342.
Kaur, S., & Singh, R. (2024). Wearable technologies and intelligent education: Enhancing learner engagement and real-time feedback. Interactive Learning Environments, 32(7), 954–972.
Kim, S., & Lee, J. (2023). EEG-based adaptive learning systems using wearable devices: Advances and challenges. Computers in Education Journal, 45(2), 118–129.
Liu, Y., Wang, Q., & Zhao, X. (2021). Self-monitoring and metacognitive awareness through wearable learning analytics. Computers & Education, 167, 104178.
Lopez, D., & Chen, X. (2024). Data-driven learning personalization using wearable analytics. Educational Research Review, 42, 101268.
Martinez, R., & Torres, G. (2021). AI-based feedback generation for cognitive and emotional adaptation in smart learning. Journal of Educational Computing Research, 59(3), 489–508.
Nguyen, T., Rojas, M., & Lai, S. (2021). Ethical implications of biometric data in education: Challenges of wearable learning technologies. Learning, Media and Technology, 46(2), 217–232.
Pereira, C., Silva, R., & Lopes, J. (2023). The role of physiological sensing in personalized learning environments: A wearable perspective. Sensors, 23(4), 1894.
Rahman, M., & Chou, C. (2023). Augmented reality and wearable devices in science education: Effects on engagement and cognitive retention. Education and Information Technologies, 28(3), 2527–2546.
