Business Challenges
Key challenges we faced while building an AI education platform
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Ensuring Pedagogical Effectiveness of AI Tools
Building AI models that generate the content, activities, and explanations according to sound teaching principles to improve the learning outcomes beyond the content creation, emphasizing heavily on the overall education impact.
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Harmonizing Distinct Tools in One Platform
A major hurdle is integrating nine different tools, such as writing assistance, lesson planning, concept explanation, etc., into one single platform and ensuring flawless navigation, robust performance, and steady user experience for all tools.
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Generating Context-Aware Educational Content
One essential challenge is training AI to create precise, age-specific, and curriculum-based content, supporting educators covering simple learning plans to complex activities in diverse subjects and learning levels.
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Scalability for Diverse User Needs & Content Generation
A growing issue is ensuring the AI platform for education handles high user demand and reliably generates diverse content types for large institutions, teachers, and students simultaneously, even under massive usage.
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Ethical AI Use in Education & Bias Mitigation
It is a growing challenge to ensure that AI-produced content is fair, inclusive, and unbiased, and to promote the responsible use of AI in sensitive educational settings while robustly complying with changing security rules.
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Driving User Adoption and Training for AI Tools
Assuring educators consider AI solutions by offering AI-based teaching and intuitive interfaces, maintaining transparency, and providing practical training to handle resistance and ensure flawless integration with daily teaching workflows is really tough.
Technologies
Key technologies and AI tools we used to bring Teach Better AI to life.
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GPT-4o
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Langchain
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ReactJS
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Python
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NextJS
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PostgreSQL
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AWS (Amazon Web Services)