Revolutionizing Education: Enhancing Learning Through Augmented Reality
Keywords:
Augmented Reality, Virtual Reality, Scientific VisualizationAbstract
Augmented reality (AR) has emerged as a promising technology for enhancing learning and transforming education. This study aims to explore the benefits and challenges of using AR in the classroom and to identify best practices for integrating AR into the curriculum. A mixed-methods approach was used, including surveys of teachers and students, classroom observations, and experimental research. The results suggest that AR can increase student engagement and motivation, improve learning outcomes, and provide opportunities for personalized and immersive learning experiences. Based on the findings, recommendations are made for how schools and educators can effectively integrate AR into their teaching practices and revolutionize the way students learn.
References
Kim H, Lee HJ, Cho H, Kim E, Hwang J. Replacing self-efficacy in physical activity: Unconscious intervention of the AR game, Pokémon GO. Sustainability. 2018 Jun 12; 10(6): 1971.
Dunleavy M, Dede C. Augmented reality teaching and learning. In: Handbook of research on educational communications and technology. New York, NY: Springer; 2014; 735–45.
Wang S, Jiang J. Machine comprehension using match-lstm and answer pointer. arXiv preprint arXiv:1608.07905. 2016 Aug 29.
Radu I. Augmented reality in education: a meta-review and cross-media analysis. Pers Ubiquitous Comput. 2014. Aug; 18(6): 1533–43.
Wei Y, Zhang Y, Huang J, Yang Q. Transfer learning via learning to transfer. In 35th International Conference on Machine Learning, PMLR. 2018; 80:5085-5094.
Kamarainen AM, Metcalf S, Grotzer T, Browne A, Mazzuca D, Tutwiler MS, Dede C. EcoMOBILE: Integrating augmented reality and probeware with environmental education field trips. Comput Educ. 2013 Oct 1; 68: 545–56.
Klopfer E, Osterweil S, Salen K. Moving learning games forward. Cambridge, MA: The Education Arcade. 2009 Dec.
Delaney JG, Johnson A, Johnson TD, Treslan D. Students’ perceptions of effective teaching in higher education. California, USA: Memorial University; 2010.
Akçayır M, Akçayır G, Pektaş HM, Ocak MA. Augmented reality in science laboratories: The effects of augmented reality on university students’ laboratory skills and attitudes toward science laboratories. Comput Hum Behav. 2016 Apr 1; 57: 334–42.
Hwang GJ, Wu PH, Chen CC, Tu NT. Effects of an augmented reality-based educational game on students' learning achievements and attitudes in real-world observations. Interact Learn Environ. 2016 Nov 16; 24(8): 1895–906.
Yoon SA, Elinich K, Wang J, Steinmeier C, Tucker S. Using augmented reality and knowledge-building scaffolds to improve learning in a science museum. Int J Comput-Support Collab Learn. 2012 Dec; 7(4): 519–41.
Carlson KJ, Gagnon DJ. Augmented reality integrated simulation education in health care. Clin Simul Nurs. 2016 Apr 1; 12(4): 123–7.
Chen HL, Lee CN, Chang CH, Ni YH, Shyu MK, Chen SM, Hu JJ, Lin HH, Zhao LL, Mu SC, Lai MW. Efficacy of maternal tenofovir disoproxil fumarate in interrupting mother‐to‐infant transmission of hepatitis B virus. Hepatology. 2015 Aug; 62(2): 375–86.
Pérez-López D, Contero M. Delivering educational multimedia contents through an augmented reality application: A case study on its impact on knowledge acquisition and retention. Turkish Online Journal of Educational Technology (TOJET). 2013 Oct; 12(4): 19–28.
Bressler DM, Bodzin AM. A mixed methods assessment of students' flow experiences during a mobile augmented reality science game. J Computer Assisted Learn. 2013 Dec; 29(6): 505–17.
Küçük S, Kapakin S, Göktaş Y. Learning anatomy via mobile augmented reality: Effects on achievement and cognitive load. Anat Sci Educ. 2016 Oct; 9(5): 411–21.
Martín-Gutiérrez J, Fabiani P, Benesova W, Meneses MD, Mora CE. Augmented reality to promote collaborative and autonomous learning in higher education. Comput Hum Behav. 2015 Oct 1; 51: 752–61.
Zhang J, Sung YT, Hou HT, Chang KE. The development and evaluation of an augmented reality-based armillary sphere for astronomical observation instruction. Comput Educ. 2014 Apr 1; 73: 178–88.
Shi X, Chen Z, Wang H, Yeung DY, Wong WK, Woo WC. Convolutional LSTM network: A machine learning approach for precipitation nowcasting. Advances in neural information processing systems, NIPS'15: Proceedings of the 28th International Conference on Neural Information Processing Systems. 2015 Dec; 1: 802–810.
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