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Development of a Cross-Platform Educational Communication and Workflow Application
  1. case
  2. Development of a Cross-Platform Educational Communication and Workflow Application

Development of a Cross-Platform Educational Communication and Workflow Application

nix-united.com
Education

Identified Challenges in Hybrid Learning and Communication Gaps

Educational institutions face difficulties in managing effective communication and workflows between teachers and students in hybrid learning models, especially under tight timelines and cost constraints. Existing solutions lack integration, flexibility, and scalability to support synchronous and asynchronous learning modes, resulting in fragmented educational experiences.

About the Client

A mid-sized educational technology company aiming to enhance hybrid learning environments for K-12 and higher education institutions by facilitating seamless teacher-student communication.

Key Goals to Transform Hybrid Education with a Unified Platform

  • Deliver a scalable, cross-platform mobile application enabling seamless communication between teachers and students within a shortened development timeline.
  • Achieve high user engagement, targeting above 80% weekly activity among teachers and students during pilot phases.
  • Reduce overall development costs by approximately 40% compared to traditional native app approaches.
  • Optimize server infrastructure costs, aiming for around 45% savings through cloud-native architecture.
  • Provide actionable insights through analytics dashboards to guide future development and enhancements.

Core Functional Features for Hybrid Learning Enhancement

  • Multimodal communication tools, including chat, screenshots, annotations, screen recordings, and camera functionalities.
  • Knowledge sharing capabilities allowing users to capture, annotate, and share screen content via diverse input methods (audio, video, voice, text, touch).
  • A secure, distraction-free environment that restricts communication to educator and learner interactions only.
  • An intuitive dashboard for easy navigation and engagement.
  • Platform-specific toolbars and features to support ChromeOS and other devices seamlessly.
  • Serverless, cloud-native architecture utilizing AWS services such as Lambda, AppSync, API Gateway, Cognito, DynamoDB, S3, and Pinpoint for scalability and cost efficiency.
  • Automated collection and visualization of usage analytics and KPIs for educational management.

Technology Stack and Architectural Preferences

Cross-platform mobile development framework: Flutter
Programming languages: Dart, Kotlin
Mobile SDKs: Android SDK
Cloud Infrastructure: AWS (Lambda, Amplify, AppSync, API Gateway, DynamoDB, S3, Cognito, Pinpoint)

Essential System Integrations

  • Authentication and identity management via cloud-based user pools (Cognito)
  • Data storage and retrieval through managed NoSQL databases (DynamoDB, S3)
  • API interfaces with external learning management systems or educational platforms if applicable
  • Analytics and user engagement tracking with KPIs dashboard tools

Non-Functional System and Performance Requirements

  • Scalability: Support for a high volume of concurrent users with low latency.
  • Security: Data encryption, secure access controls, and private data stores, with strict governance policies.
  • Performance: Fast load times and smooth user interactions across devices.
  • Cost-efficiency: Approximately 40% reduction in development costs through cross-platform development and 45% in server costs via serverless infrastructure.
  • Compliance: Adherence to data privacy standards applicable to educational environments.

Projected Business Benefits and Outcomes

The new cross-platform communication and workflow application is expected to significantly improve hybrid learning experiences by enabling seamless, secure, and efficient teacher-student interactions. The project aims to achieve over 80% weekly active usage among teachers and students during pilot testing, reduce development costs by approximately 40%, and lower infrastructure expenses by 45%. Successful deployment and adoption will foster more personalized, accessible, and engaging learning environments, laying the foundation for future AI-driven analytics and instructional tools.

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