Tech Quest Language Learning
Creators
- 1. Assistant Professor, Department of CSE, SCSVMV University, Kanchipuram (Tamil Nadu), India.
Contributors
Contact person:
Researchers:
- 1. Assistant Professor, Department of CSE, SCSVMV University, Kanchipuram (Tamil Nadu), India.
- 2. UG Scholar, Department of CSE, SCSVMV University, Kanchipuram (Tamil Nadu), India.
Description
Abstract: Tech Quest Language Learning is an innovative webbased platform designed to facilitate language learning through interactive quizzes tailored for engineering students and professionals. The platform offers a diverse range of quizzes covering various engineering subjects, providing users with an engaging and effective way to test their knowledge and skills. Through a user-friendly interface, participants can navigate seamlessly between quizzes, receive instant feedback on their performance, and track their scores over time. Additionally, the platform incorporates user authentication mechanisms, ensuring secure access to personalized learning experiences. With its emphasis on interactivity, accessibility, and user engagement, "Tech Quest Language Learning" aims to enhance language proficiency and academic success in the engineering domain.
Files
B362914020524.pdf
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Additional details
Identifiers
- DOI
- 10.35940/ijsce.B3629.14020524
- EISSN
- 2231-2307
Dates
- Accepted
-
2024-05-15Manuscript received on 29 March 2024 | Revised Manuscript received on 10 April 2024 | Manuscript Accepted on 15 May 2024 | Manuscript published on 30 May 2024.
References
- Interactive Learning Environments (2021): Patel and Kim's 2021 study, "Engaging Learning: The Impact of Quizzes and Simulations," focused on the role of interactive elements on platforms like Coursera.
- Chen, N. S., Wei, C. W., & Chen, H. J. (2008). Mining e-Learning domain concept map from academic articles. Computers & Education, 50(3), 1009-1021. https://doi.org/10.1016/j.compedu.2006.10.001
- Interdisciplinary Insights: A Comprehensive Review of Technologies in Language Learning Platforms (2021): Authors: Smith, A., Patel, M., Kim, S., et al. This comprehensive literature review aims to provide an interdisciplinary examination of the integration of diverse technologies in contemporary language learning platforms.
- Smith, J., Brown, A., & Lee, C. (2021). "Revolutionizing Language Learning Platforms."
- Smith, A., et al. (2021). "Interdisciplinary Insights: A Comprehensive Review of Technologies in Language Learning Platforms."
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- Goyal, Ms. P., & Deora, Dr. S. S. (2022). Reliability of Trust Management Systems in Cloud Computing. In Indian Journal of Cryptography and Network Security (Vol. 2, Issue 1, pp. 1–5). https://doi.org/10.54105/ijcns.c1417.051322
- Saraswathi, Dr. M., Akhila, J., & Sireesha, K. (2023). Predictive Insights: using Machine Learning to Determine Your Future Salary. In International Journal of Soft Computing and Engineering (Vol. 13, Issue 2, pp. 1–6). https://doi.org/10.35940/ijsce.b3605.0513223
- Chavan, Mr. P. M., Abhang, Prof. S. P., & Shinde, Prof. U. B. (2019). DevOps Intelligent Networking with Automated Deployment in Linux. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 9, Issue 2, pp. 5750–5752). https://doi.org/10.35940/ijrte.b3510.078219
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