Introduction
In response to the evolving educational landscape, ITK was developed as an integrated Exam Simulation and School Performance Management App. This case study delves into the UX design process, from initial research to the Minimum Viable Product (MVP) launch, outlining the incorporation of AI-driven exam preparation features and performance management tools. Research methods, design choices, prototyping, and the impact of the MVP launch are discussed.
Project Goals
- Enhance Exam Preparation: Utilize AI to help students gauge their test preparedness with probability scores.
- Streamline Performance Management: Provide teachers with a tool to efficiently manage and track student performance.
- User Interaction: Allow users to input questions through text or image and receive personalized responses.
- Seamless Integration: Ensure a seamless and intuitive integration of exam simulation and performance management features.
User Research
To understand the diverse needs of students and teachers, a multifaceted research approach was adopted:
- Surveys: Gathered quantitative data to understand the study habits of students and the performance tracking needs of teachers.
- Focus Groups: Engaged in-depth discussions with both students and teachers to uncover pain points, preferences, and expectations.
- Competitor Analysis: Explored existing educational apps to identify successful features and areas for improvement.
Findings
The research revealed the following key insights:
- Students and teachers expressed a need for a holistic platform that seamlessly integrates exam preparation and performance management.
- AI-driven test probability scores were seen as a valuable tool for students to measure their readiness for exams.
- Teachers emphasized the importance of easy-to-use performance management tools to efficiently track and analyze student progress.
- Both user groups appreciated a user-generated content feature, promoting engagement and collaborative learning.
Design
Wireframing
Wireframes were created to conceptualize the app’s architecture, emphasizing a clean and intuitive design. Low-fidelity prototypes were developed and validated through user feedback:
- AI-Driven Test Probability Scores: An algorithm to calculate students’ readiness for exams based on their performance in practice tests.
- User-Generated Content: A feature allowing users to input questions through text or images for personalized study and teaching materials.
High-Fidelity Design
Wireframes were created to conceptualize the app’s architecture, emphasizing a clean and intuitive design. Low-fidelity prototypes were developed and validated through user feedback
Validation and User Testing:
The high-fidelity prototype underwent rigorous testing, with users providing feedback on functionality, user interface, and overall experience. Users reported:
- AI-driven test probability scores were accurate and provided valuable insights for exam preparation.
- The integrated performance management tools for teachers were intuitive and time-saving.
- The user-generated content feature promoted engagement and personalized learning.
Impact
The MVP launch of ITK resulted in positive outcomes:
- User Adoption: Both students and teachers quickly adopted the app due to its user-friendly design and valuable features.
- Feedback Loop: User feedback from the MVP phase allowed for swift improvements, addressing any usability issues and enhancing features.