ASSESSMENT AND ANALYSIS OF STUDENTS' NEEDS FOR LEARNING VIRTUAL ROBOTICS BASED ON A SURVEY
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Objective: The aim of this study is to assess and analyze students' needs regarding the learning of virtual robotics. As virtual technologies gain prominence in education, especially in robotics and engineering fields, understanding learners’ expectations and barriers becomes essential for designing effective curricula. Method: A structured survey was conducted among students at Bukhara State University to evaluate their familiarity, interest, and challenges related to virtual robotics education. The survey included quantitative Likert-scale questions and qualitative open-ended responses. Collected data were statistically analyzed, and key indicators were visualized through bar charts and pie graphs to enhance interpretability. Results: The analysis showed that over 65% of students expressed a high level of interest in virtual robotics, with accessibility and interactivity being the most appreciated features. Motivation levels were found to increase after exposure to simulation-based learning modules. Graphical data illustrated a clear shift in student engagement—from moderate to high—before and after the virtual course. However, gaps in digital literacy and access to devices were noted as limiting factors for some learners. Novelty: This study is among the first to combine statistical and graphical analysis to assess the virtual robotics readiness of Uzbek university students. The integration of visual data enhances the clarity and credibility of the findings. The results offer practical implications for educators seeking to implement virtual learning platforms in STEM disciplines within developing regions.
F. Erdoğmuş and İ. Göksu, “The effect of virtual robotics applications on students’ motivation,” IJTES, vol. 6, no. 1, pp. 23–35, 2022.
F. B. V. Benitti, “Exploring the educational potential of robotics in schools: A systematic review,” Comput. Educ., vol. 58, no. 3, pp. 978–988, 2012.
D. Alimisis, “Educational robotics: Open questions and new challenges,” Themes Sci. Technol. Educ., vol. 6, no. 1, pp. 63–71, 2013.
A. Sahin and N. Top, “Effects of robotics programming on students’ engineering perceptions,” J. STEM Educ., vol. 16, no. 3, pp. 11–19, 2015.
M. U. Bers et al., “Teaching partnerships: Early childhood technology integration,” J. Educ. Comput. Res., vol. 26, no. 2, pp. 149–172, 2002.
S. Papert, *Mindstorms: Children, Computers, and Powerful Ideas*, Basic Books, 1980.
M. Alimisis, *Robotics in Education*, Springer, 2021.
UNESCO, “The Role of Digital Technologies in Education During COVID-19,” 2021. [Online]. Available: https://unesdoc.unesco.org
J. H. Clarke and M. Yasar, “Student learning in robotics education,” Int. J. Learn. Technol., vol. 10, no. 2, pp. 105–123, 2015.
M. Ghanai and M. Mohammadi, “Readiness for virtual learning: A case study,” J. Educ. Pract., vol. 10, no. 1, pp. 45–59, 2020.
Ministry of Public Education of Uzbekistan, *Digital Education Strategy*, Tashkent, 2022.
R. Felder and R. Brent, “Understanding student differences,” J. Eng. Educ., vol. 94, no. 1, pp. 57–72, 2005.
K. Y. Lim et al., “Factors influencing the use of virtual labs,” Comput. Educ., vol. 113, pp. 48–58, 2017.
M. J. Prince and R. M. Felder, “Inductive teaching and learning methods,” J. Eng. Educ., vol. 95, no. 2, pp. 123–138, 2006.
M. Yilmaz et al., “STEM robotics camp for students: A case study,” J. STEM Educ., vol. 15, no. 3, pp. 24–30, 2014.
D. J. Kim and E. M. Hannafin, “Scaffolding problem-solving in technology-enhanced learning,” Comput. Educ., vol. 62, pp. 893–902, 2013.
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