Revolutionizing Instructional Coaching with AI
The world of education can feel isolating and overwhelming for educators without mentors or role models.
We designed an AI-powered instructional Coach to enhance educators' coaching experience and address the challenges of traditional coaching methods.
ABOUT THE PROJECT
Role: UX Designer, Researcher
Duration: 30 Weeks
Team Size: 4 Members
Domain: Edutech
Tools: Figma, Miro, Figjam, Google Suite
Client: Logan & Friends (Led by Dr. Jocelyn Logan Friend)
CLIENT'S VISION
Dr.Logan already has a vision of how this would be achieved-
Analyzing audio recordings of teaching sessions, comparing them against established teaching frameworks, and generating personalized feedback by combining AI capabilities with human expertise.
OUR OBJECTIVE
To build the experience around this vision for MVP1.
THE CHALLENGE
Translating this vision into a practical tool wasn't straightforward. Traditional coaching methods posed significant challenges.
Creating distress in the teaching environment
Limited observation time
Inadequate progress tracking
ADDRESSING THESE CHALLENGES
"How might we redefine the coaching experience for educators?"
EMPATHIZING WITH EDUCATORS
We discovered that many teachers faced time-consuming processes and delayed feedback. Traditional coaching sessions often didn’t align with their busy schedules and provided generalized, sometimes subjective feedback. We knew we needed to address these issues with precision.
SOLUTION
We focused on creating a user-friendly, intuitive, and supportive platform for teachers and coaches.
We addressed specific pain points and met their needs through various design and functional elements that empowered them to create engaging and effective learning experiences for their students.
Painpoint 1
Painpoint 2
Painpoint 3
Painpoint 4
Painpoint 5
APPROACH
Despite the clear vision from our client, the project posed significant challenges, especially since the team and I had no prior experience working with AI or machine learning models.
One of the primary hurdles was translating the vision into a practical, user-centered tool. We had to address complex issues, such as how the AI would analyze classroom dynamics using only audio inputs and provide accurate, actionable feedback. Additionally, we faced technical uncertainties regarding the feasibility and scope of integrating AI into the feedback process.
Interactive Infobox Click away to navigate through the process 🖱️
MY LEARNINGS
The project's non-linear progression was a natural consequence of several factors. Our team's initial inexperience with AI and ML models presented unforeseen technical challenges, especially with audio analysis and AI feedback mechanisms. This required revisiting earlier design stages to refine our approach and adapt to the technology's complexities.
Simultaneously, the project scope evolved as we gained deeper insights into the technology and user needs through extensive research and interviews. For instance, the decision to separate the AI assistant and chat functionality, as well as refinements to the information architecture, stemmed directly from these learnings.
Our commitment to an iterative design process, incorporating user feedback through prototyping and usability testing, further emphasized the non-linear nature of the project. We embraced this flexibility, recognizing that continuous refinement based on real-world data would lead to a more effective and valuable product.
Additionally, adopting an agile methodology allowed us to prioritize the MVP and adapt to changing requirements throughout development. This approach, combined with our research-driven design philosophy, led to a fluid design process where initial concepts were continually revisited and refined based on new insights and evolving needs.