DESIGN AND DEVELOPMENT OF ‘MINDHIKE’: A SCALABLE E-LEARNING PLATFORM BUILT WITH DJANGO TECHNOLOGY

Authors

  • Atmadev Ram Tripathi UG Student, Department of Computer science and Engineering, KIPM College of Engineering and Technology, Gorakhpur, India
  • Amit Vishwakarma UG Student, Department of Computer science and Engineering, KIPM College of Engineering and Technology, Gorakhpur, India
  • Gargansh UG Student, Department of Computer science and Engineering, KIPM College of Engineering and Technology, Gorakhpur, India
  • Shivam Singh

DOI:

https://doi.org/10.29121/granthaalayah.v13.i4.2025.6178

Keywords:

Django, E-Learning, Personalized Education, Web Application, Interactive Learning

Abstract [English]

The MindHike project is an innovative initiative various academic and professional fields.
aimed at revolutionizing digital education through a robust
and scalable web platform developed using Django. This 1.2 OBJECTIVES
research explores the methodologies, features, and potential The primary objectives of the MindHike E-learning platform educational impacts of the platform, with a focus on project include: personalized learning, content management, user interaction, and performance analytics. MindHike addresses critical gaps 1. Developing a user-friendly, secure, and scalable Ein e-learning by offering modular content delivery, secure learning web application using Django technology.
user authentication, real-time quizzes, and performance 2. Providing students with personalized learning tracking. The platform is designed to empower students, experiences through structured course modules and educators, and institutions by integrating modern pedagogical interactive content. strategies with cutting-edge web technologies. By ensuring 3. Enabling educators to efficiently manage and deliver accessibility, engagement, and adaptability, MindHike content, track student progress, and assess performance. contributes to improving learning outcomes and promoting 4. Ensuring role-based access for administrators, teachers, inclusive education in both urban and rural settings. and students to maintain security and streamline management.
5. Integrating features such as quizzes, assignments, and Digital Pedagogy progress analytics to enhance user engagement and learning outcomes.

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References

Brown, T., et al. (2020). The Impact of E-Learning Platforms on Student Engagement. Journal of Educational Technology, 39(3), 212–224.

Chen, L., et al. (2021). Enhancing Online Learning Experiences Through Interactive Features. Journal of Interactive Learning Research, 32(4), 455–470.

Davis, K., & Thompson, A. (2019). Digital Tools for Improving Learning Outcomes in Virtual Classrooms. Journal of Educational Development, 45(2), 115–127.

Garcia, A., et al. (2020). The Role of Artificial Intelligence in Personalized Learning. Educational Technology and Research, 48(1), 42–58.

Harris, S., & Nguyen, P. (2021). Analyzing the Effectiveness of Multimedia Content in E-Learning Platforms. Journal of Educational Media, 47(3), 89–104.

Jones, R., et al. (2020). Accessibility and User Interface Design in Online Education Platforms. Journal of Online Learning, 14(2), 78–93.

Kim, J., et al. (2020). The Future of Mobile Learning Applications in Education. Journal of Mobile Learning, 16(4), 111–124.

Miller, D., & Foster, L. (2019). Gamification in Education: A Case Study of Its Effects on Learner Motivation. Learning and Development Journal, 58(3), 212–225.

Nguyen, M., et al. (2021). Virtual Classrooms and Their Role in Modern Education. International Journal of Educational Innovation, 12(1), 56–69.

Singh, R., & Sharma, P. (2020). Optimizing User Engagement on E-Learning Platforms Through Personalized Learning Pathways. Educational Technology Research and Development, 68(2), 300–315.

Smith, J., & Zhang, L. (2018). The Role of Cloud-Based Platforms in E-Learning Scalability. Journal of Digital Education, 52(5), 47–59.

Taylor, B., & Wilson, J. (2020). E-learning Tools and Their Contribution To Global Education accessibility. Educational Accessibility Review, 25(2), 134–149.

Wang, X., et al. (2019). ENhancing Learner sAtisfaction Through Interactive E-Learning Modules. Journal of Interactive Education, 30(3), 200–213.

Yadav, S., & Kumar, P. (2020). Advancements in Data-Driven Learning for Personalized Education. Journal of Educational Data Science, 11(4), 101–115.

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Published

2024-04-30

How to Cite

Tripathi, A. R., Vishwakarma, A., Gargansh, & Singh, S. (2024). DESIGN AND DEVELOPMENT OF ‘MINDHIKE’: A SCALABLE E-LEARNING PLATFORM BUILT WITH DJANGO TECHNOLOGY. International Journal of Research -GRANTHAALAYAH, 13(4), 328–336. https://doi.org/10.29121/granthaalayah.v13.i4.2025.6178