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Taklif.AI: LLM-Powered Platform for Interest-Based Personalized College Assignments Kurdya et al. (2026) — Multiple institutions. arXiv cs.AI.

Taklif.AI: LLM-Powered Platform for Interest-Based Personalized College Assignments

Summary

Taklif.AI addresses the challenge of creating engaging, Personalized Learning assignments that accommodate students' diverse interests and cognitive abilities. Unlike existing platforms that personalize based on academic performance metrics alone, Taklif.AI incorporates students' extracurricular interests and cultural contexts into assignment generation — an approach aligned with Culturally Relevant Pedagogy principles.

System architecture highlights:

  • Primary LLM: Llama 3.3 70B via LiteLLM for multi-provider load balancing
  • Prompt orchestration: LangChain with structured prompt engineering pipeline
  • Quality control: Input and output guardrails to ensure assignment quality
  • Infrastructure: AWS serverless with Next.js frontend
  • User testing results (n=68):

  • 65 students and 3 educators participated
  • 84% rated the personalization feature as beneficial
  • Strong user acceptance overall
  • The platform represents a shift from one-size-fits-all assignments toward interest-driven engagement, potentially reducing Academic Integrity concerns like plagiarism. However, the paper acknowledges the need for rigorous empirical evaluation of learning outcomes beyond user acceptance — echoing the GenAI Performance Vs Learning distinction between engagement gains and actual learning improvements.

    This work connects to the broader Automated Question Generation literature and the Edtech Platform ecosystem. The use of open-weight models (Llama 3.3 70B) aligns with the trend toward institution-controlled AI deployment seen in Lata Ferpa Compliant Local LLM Autograder and Moodle AI Tutoring Deep Learning.

    Connected Concepts

  • Personalized Learning
  • Culturally Relevant Pedagogy
  • Academic Integrity
  • Automated Question Generation
  • Edtech Platform
  • Connected Articles

  • GenAI Performance Vs Learning
  • Lata Ferpa Compliant Local LLM Autograder
  • Moodle AI Tutoring Deep Learning
  • Citation

    Kurdya, Z., Zuqlam, M., Amassi, S., Telbany, S., & Saad, M. (2026). Taklif.AI: LLM-powered platform for interest-based personalized college assignments. arXiv:2605.05842.