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Development of a Gamified Conversational Chatbot for Educational Content Delivery
  1. case
  2. Development of a Gamified Conversational Chatbot for Educational Content Delivery

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Development of a Gamified Conversational Chatbot for Educational Content Delivery

digiteum.com
Education
Information technology

Challenge: Increasing Engagement and Knowledge Retention in Online Learning

The University of California Press seeks to enhance the effectiveness of its online educational resources. Current methods of content delivery (e.g., static text, video lectures) struggle to maintain student engagement and ensure effective knowledge retention. There is a need for a more interactive and enjoyable learning experience that fosters deeper understanding and encourages active participation.

About the Client

A leading academic publisher focused on disseminating scholarly research and educational materials.

Objectives: Enhance User Engagement and Facilitate Language Learning

  • Increase user engagement with online Hindi language learning materials.
  • Improve Hindi vocabulary acquisition through interactive activities.
  • Provide a gamified learning experience to motivate users.
  • Encourage user interaction and feedback to improve content quality.

Functional Requirements

  • Gamified vocabulary quizzes and word games.
  • Integration with a dictionary API for word definitions and usage examples.
  • User feedback mechanism to collect suggestions for content improvement.
  • Multi-platform deployment (web, messaging apps).
  • Personalized learning paths based on user progress.

Preferred Technologies

Cloud-based CMS (e.g., WordPress, Drupal)
Natural Language Processing (NLP) engine
API integration (Oxford Dictionaries API or similar)
Chatbot platform (e.g., Dialogflow, Rasa)
Frontend frameworks (e.g., React, Angular)

Required Integrations

  • Oxford Dictionaries API
  • University of California Press CMS
  • Potential integration with learning management systems (LMS) like Canvas or Moodle

Non-Functional Requirements

  • Scalability to handle a large number of concurrent users.
  • High availability and reliability.
  • Secure data storage and user authentication.
  • Responsive design for optimal viewing on various devices.
  • Performance: Fast response times for interactive elements.

Expected Impact

The successful implementation of this chatbot is expected to significantly improve user engagement with the University of California Press's online Hindi language learning resources. This will lead to increased knowledge retention, enhanced user satisfaction, and potentially wider adoption of the platform. The chatbot can also serve as a valuable tool for gathering user feedback and continuously improving the quality of the educational content.

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