International Peer-Reviewed JournalOpen AccessISSN 2456-8880
irejournals@gmail.com+91-7433024337

Home / Current Issue / Paper 1712649

1712649PublishedVol 9 · Issue 6

MINDCRAFT: An AI-Driven Gamified Platform for Personalized Python Programming Education

Vishnusai Vaibhav Kamasamudram Sarayu Valteti Amit Kumar Nayak Swarna Aramoti Prof. Rahul B

Subject area: Science,Engineering and Technology  ·  Area of research: Education

DOI: https://doi.org/10.64388/IREV9I6-1712649

Abstract

High cognitive load and motivational deficits are persistent, well-documented barriers in traditional Python education. This paper presents a critical synthesis of research in educational technology and cognitive science to argue for a new pedagogical model that synergistically combines gamification and Artificial Intelligence. We introduce MINDCRAFT as an archetypal platform embodying this model, which integrates a gamified progression system to scaffold complex topics and an AI-powered tutoring system to provide adaptive, personalized instruction. The analysis explores how core principles?such as managing cognitive load through structured challenges and delivering immediate, contextual feedback via an intelligent code editor?directly counteract the failures of conventional instruction. Ultimately, this paper provides an evidence-based argument for the design and adoption of integrated, intelligent learning environments to create more effective and equitable pathways into programming.

Keywords

Python Programming Education, Gamification, AI Tutoring Systems, Personalized Learning, Interactive Code Editor, Adaptive Learning Paths, Educational Technology, Real-Time Feedback, Intelligent Learning Environments, Skill-Based Assessment

How to cite this paper

Vishnusai Vaibhav Kamasamudram, Sarayu Valteti, Amit Kumar Nayak, Swarna Aramoti, Prof. Rahul B "MINDCRAFT: An AI-Driven Gamified Platform for Personalized Python Programming Education" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 1056-1063 https://doi.org/10.64388/IREV9I6-1712649
Vishnusai Vaibhav Kamasamudram, Sarayu Valteti, Amit Kumar Nayak, Swarna Aramoti, Prof. Rahul B "MINDCRAFT: An AI-Driven Gamified Platform for Personalized Python Programming Education" Iconic Research And Engineering Journals, vol. 9, no. 6, Dec. 2025, doi: https://doi.org/10.64388/IREV9I6-1712649
Vishnusai Vaibhav Kamasamudram, Sarayu Valteti, Amit Kumar Nayak, Swarna Aramoti, Prof. Rahul B (2025). MINDCRAFT: An AI-Driven Gamified Platform for Personalized Python Programming Education. Iconic Research And Engineering Journals, 9(6). doi: https://doi.org/10.64388/IREV9I6-1712649
Vishnusai Vaibhav Kamasamudram, Sarayu Valteti, Amit Kumar Nayak, Swarna Aramoti, Prof. Rahul B "MINDCRAFT: An AI-Driven Gamified Platform for Personalized Python Programming Education" Iconic Research And Engineering Journals, vol. 9, no. 6, Dec. 2025. Crossref, https://doi.org/10.64388/IREV9I6-1712649
@article{1712649,
      author = {Vishnusai Vaibhav Kamasamudram, Sarayu Valteti, Amit Kumar Nayak, Swarna Aramoti, Prof. Rahul B},
      title = {MINDCRAFT: An AI-Driven Gamified Platform for Personalized Python Programming Education},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {6},
      pages = {1056-1063},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1712649.pdf},
      abstract = {High cognitive load and motivational deficits are persistent, well-documented barriers in traditional Python education. This paper presents a critical synthesis of research in educational technology and cognitive science to argue for a new pedagogical model that synergistically combines gamification and Artificial Intelligence. We introduce MINDCRAFT as an archetypal platform embodying this model, which integrates a gamified progression system to scaffold complex topics and an AI-powered tutoring system to provide adaptive, personalized instruction. The analysis explores how core principles?such as managing cognitive load through structured challenges and delivering immediate, contextual feedback via an intelligent code editor?directly counteract the failures of conventional instruction. Ultimately, this paper provides an evidence-based argument for the design and adoption of integrated, intelligent learning environments to create more effective and equitable pathways into programming.},
      keywords = {Python Programming Education, Gamification, AI Tutoring Systems, Personalized Learning, Interactive Code Editor, Adaptive Learning Paths, Educational Technology, Real-Time Feedback, Intelligent Learning Environments, Skill-Based Assessment},
      month = {December},
      doi = {https://doi.org/10.64388/IREV9I6-1712649}
  }