Crafting Effective User Journeys for Educational Tools

How can we transition from simple ChatGPT-style conversations to interactive, user-friendly apps to support and enhance student learning? Very happy to share that our paper "𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠��𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 𝐌𝐞𝐞𝐭 𝐔𝐬𝐞𝐫 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞𝐬: 𝐓𝐡𝐞 𝐂𝐚𝐬𝐞 𝐨𝐟 𝐏𝐫𝐨𝐯𝐢𝐬𝐢𝐨𝐧𝐢𝐧𝐠 𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤" has now been published. Thanks to Stanislav Pozdniakov for leading the paper and colleagues Shazia Sadiq, Aneesha Bakharia, Dragan Gasevic, Solmaz Abdi, Jonathan Brazil and Paul Denny for their valuable contributions in shaping this research. The paper is available **open access** at https://lnkd.in/g2adZ5K2 Our work explores the pressing challenges of relying on conversational user interfaces like ChatGPT for educational tasks. While powerful, such tools struggle with complex educational requirements, often requiring significant AI literacy and expertise to use effectively. They also raise ethical concerns, particularly in high-stakes decisions, and have the potential for unauthorized sharing of sensitive data. To address these limitations, our paper presents three key contributions: • 𝐀 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 to transition from simple conversational AI to more interactive and educationally effective interfaces. • 𝐀 𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 of this framework in the form of "Feedback Copilot," an AI tool that provides personalized feedback on assignments at scale. • 𝐀 𝐜𝐚𝐬𝐞 𝐬𝐭𝐮𝐝𝐲 evaluating the tool across 338 students, showing its effectiveness but also revealing critical equity concerns, particularly for lower-achieving students who would benefit the most from high-quality, constructive feedback. 𝐊𝐞𝐲 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲. The deployment of GenAI in education shows promise but faces challenges related to reliability, transparency, and ethical considerations, impacting technological, educational, ethical, psychological, and social dimensions, necessitating careful, human-centric integration to enhance learning without compromising quality or equity. What are your thoughts on this shift from LLMs to interactive applications? Have you come across any tools or applications that have already made this leap effectively or are well-positioned to make a significant impact in this space?

Ever watch your learners' engagement gradually fade in a digital experience, despite compelling content? It’s a common frustration, but often the solution lies in a fundamental human need: a true sense of control. That feeling hit me yesterday on a long bike ride around the island I live on, gazing across the bay at San Francisco in the distance. That expansive view, with its implied freedom to choose any path towards that distant goal, powerfully mirrors the allure of well-designed exploratory experiences. It’s this spirit of exploration and self-directed discovery that games like the recent Zelda titles capture so brilliantly. As I explored in a previous article for UX of EdTech on how games create deep flow (link in comments), a key is empowering users: "Instead of the game dictating where you go and what you do, it offers a vast, interactive world and the tools to explore it freely... empower[ing] you to define your own goals, experiment with solutions, and ultimately control your own adventure." This principle is deeply rooted in motivational psychology. Self-Determination Theory, for instance, highlights that fostering a sense of autonomy (or control) is critical for intrinsic motivation and deep engagement. When individuals feel they have meaningful choices and can direct their own path, their persistence and mastery skyrocket. For EdTech and learning platforms, this means designing experiences that provide learners with genuine options to exercise autonomy – perhaps through choices in learning methods, tools, resources, or allowing them to set their own pace and goals. It’s about shifting from dictating a path to providing a landscape for supported discovery. How are you empowering your users with a sense of control? What does their adventure look like? #UserEngagement #EdTech #LearningDesign

Recently, I conducted user testing for some exciting projects at Stanford, and decided to share some insights. This post feels especially personal because it’s not just about design—it’s about my journey as both a student and a designer. When I first came to Stanford as an international student, I struggled with navigating its complex academic systems. It was frustrating, and I remember wishing for tools that could make things simpler and more intuitive. Fast forward to today, and I have the incredible opportunity to work on improving those very systems—side by side with current students. Listening to their frustrations during user testing brings back so many of my own memories. It’s a full-circle moment, where my past experiences fuel my passion to make these tools better for everyone. Here are some interesting insights: • 𝗠𝗲𝗻𝘁𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝘀 𝗮𝗻𝗱 𝗠𝗶𝘀𝗮𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁: Users often approach academic tools with mental models shaped by other apps or systems they use. Identifying and aligning with these expectations can significantly reduce confusion and improve engagement. • 𝗦𝘁𝗿𝗲𝘀𝘀 𝗮𝘀 𝗮 𝗗𝗲𝘀𝗶𝗴𝗻 𝗙𝗮𝗰𝘁𝗼𝗿: Academic tools are often used in high-pressure moments (e.g., enrollment deadlines). Testing revealed that reducing friction in the interface during these times significantly improves the overall experience. • 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗘𝘅𝗽𝗲𝗰𝘁𝗮𝘁𝗶𝗼𝗻𝘀: Today’s students expect tools to adapt to their preferences, like saving search filters or suggesting classes based on their academic history. • 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗖𝗹𝗮𝗿𝗶𝘁𝘆: Students value clear, visual representations of information, such as progress bars for degree completion or graphs showing their weekly workload distribution. • 𝗜𝗻𝗰𝗹𝘂𝘀𝗶𝘃𝗶𝘁𝘆 𝗕𝗲𝘆𝗼𝗻𝗱 𝗔𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Designing for inclusivity means accounting for diverse backgrounds, from non-traditional students to those who are the first in their family to attend college. • 𝗜𝘁𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗶𝘀 𝗚𝗼𝗹𝗱: Even after a design seems polished, user testing consistently uncovers areas for refinement, proving that the design process is never truly finished. User testing can be really challenging but truly rewarding in the end. I decided to share these moments to contribute to a community that’s all about learning and growing together. If you’ve got user testing stories or tips, I’d love to hear them—let’s inspire each other! #UXDesign #UIDesign #UserTesting #HumanCenteredDesign #DesignForEducation

AI in education risks replacing critical thinking. To prevent that, we need UX that provokes independent thought. And learners already show us how. A recent 2025 study of the Scratch Copilot explored how children (ages 7-12, across 11 countries) interact with an AI coding assistant. Key insights: - Learners don't unthinkingly follow AI; they question AI. - They ask for help when they need it. - They reject suggestions that don’t feel right. - They argue with the AI. This reveals a core design tension in AI for education: ☑ Support the learner, but leave space for independent problem-solving. What learners value most in AI: - Thoughtful questions - Contextual clues - Clear explanations of reasoning - Adaptability to their thinking style Many AI tools optimize for time-to-answer. But what matters more is time-to-understanding: how the learner thinks while getting to the answer. So, here are the 5 UX Principles for Responsible AI in Learning: 1. Dialog-first systems, not just output-first → Where can learners ask why before what? 2. Transparent, editable reasoning chains → Can learners see and adapt to how the AI thinks? 3. Support for iterative thinking, not instant answers → Does the UX reward exploration over efficiency? 4. Emotionally aware UX that mirrors a thoughtful coach → Are responses encouraging, not corrective? 5. Guardrails for trust, explainability, and privacy → Can educators and parents trust what’s happening? We, at 8allocate, use these 5 UX principles to design EdTech AI that builds learner trust and drives engagement. #EdTechAI #EducationAI #PersonalizedLearning #AIAgents #FutureofWork 

A new study just revealed something important. Most AI lesson plan generators default to structured, teacher-led formats. Efficient? Yes. But often at the expense of student agency and peer dialogue. That’s not a flaw in AI. It’s a reflection of how the prompts and priorities are framed. But it also means we have an opportunity. At Topia, we’re building a different layer. One that’s multiplayer. Spatial. Collaborative. Where students co-create their learning journey and feel connected: socially, emotionally, and intellectually. This paper reminded us: the tools we build shape how people learn. So let’s build with intention. Let’s design for curiosity, not just coverage. And let’s keep working with educators to make sure innovation honors the values that matter most. Agency. Dialogue. Belonging. That’s the real opportunity of AI in education. Even when prompted with “progressive” instructions, AI tools struggled to generate student-led or discussion-based lessons. The implication? We can’t just ask AI to be better. We have to build environments where student agency is the architecture. Topia’s multiplayer spaces don’t need to be “prompted” to be collaborative. They just are. - Movement is self-directed. - Learning journeys are social. - Dialogue happens naturally, not as a scheduled breakout. Because student-centered design isn’t an AI output. It’s a system design input. Let’s build systems that assume students have a voice—and make space for it.

In EdTech, user experience is the single biggest driver of adoption. If an app feels clunky, or if a teacher dashboard is confusing, usage drops fast. Traditionally, redesigning UX is a slow, iterative process starting with wireframing, prototyping, testing, revising. AI now makes it possible to collapse those cycles into weeks. Smart product teams are already leveraging AI in creating dynamic, future-ready workflows: 1. Generate Dynamic User Journeys Instead of mapping flows manually, AI can create end-to-end user journeys for students, teachers, or administrators in minutes. Teams can prompt AI to simulate how a first-year student navigates an assessment tool or how a teacher monitors progress in a live classroom. These journeys reveal friction points upfront and help teams design adaptive flows that adjust to different user roles and contexts. 2. Prototype Interactive Workflows at Speed AI can generate multiple workflow variations that are mobile-first, accessibility-friendly, or data-heavy dashboards almost instantly. For example, when redesigning a student dashboard, teams can ask AI to create versions optimized for quick progress tracking, gamification, or compliance. Instead of static wireframes, these prototypes reflect live, interactive flows that can be tested much earlier. 3. Continuously Optimize Using Real Data AI can mine telemetry data to identify bottlenecks: where students abandon a quiz, where teachers spend extra clicks, or which features remain unused. Product teams can then re-feed this data into AI-driven design cycles to generate improved workflows. This creates a feedback loop where UX evolves continuously, not just once every release cycle. According to Gartner, AI-driven design improves usability by over 30 percent, showing its measurable value. The Emerging Trend The future of UX in EdTech is dynamic. Instead of rigid, one-size-fits-all designs, workflows will adjust based on who is using them and how. AI will act as a co-designer, generating, testing, and refining workflows in real time.

Learning journeys are not built in a day. But they can be built with a system. I created the G.R.O.W.T.H. Framework to help learning designers map experiences that actually stick. Most models stay in theory. G.R.O.W.T.H. is a toolkit you can take into your next project and put to work. Here is what you will find inside: ✅ Six-stage framework to map your journey ✅ Goal-setting worksheet for stakeholder alignment ✅ Empathy mapping template ✅ Learner feedback form ✅ Team retro guide ✅ Real-world case study to show it in practice This is a free download. You will find the full PDF attached to this post. If you are building learning journeys for onboarding, upskilling, compliance, or customer education, this gives you a clear structure to follow. Simple. Practical. Designed to be used. Scroll through the document and tell me what you think. I would love your feedback.

Understanding and integrating user needs is crucial for creating products that truly resonate. At Google, we've shifted from tech-focused solutions to strategies that prioritize user-centricity. Here’s a 5-step framework for enhancing user-centricity in product development: 1. Focus on What Matters to Users Instead of getting caught up in the tech, learn to focus on user-driven product development. By focusing on the most critical user journeys, which involve understanding the users’ main goals and the tasks they perform to achieve those goals, make sure your products are not only innovative but deeply aligned with what users actually need. This helps avoiding the pitfall of designing based on your company structure or technological capabilities alone. 2. Aim for Impact, Not Features "We're not just creating features, we're creating memories." This philosophy reminds you to focus on user goals rather than just technical features. For example, in Google Photos, a goal isn't just to share photos, but to enable users to share memories with family and friends. Having a goal-oriented approach leads to solutions that resonate on a personal level. 3. Engage and Validate User research isn’t just about understanding users, it's also about continuously testing your assumptions against their feedback. By improving critical user journeys, you make sure development work is on target and effective. This continuous interaction helps you to stay aligned with what users expect and adapt to their changing needs. 4. Understand Every Step User actions are complex. It's not just about task completion but understanding each step of their journey to optimize efficiency and satisfaction. For example, analyze user behavior through 'action flows' to see how tasks are completed, identifying any potential inefficiencies along the way. This analysis helps you to refine user interactions for maximum clarity and ease of use. 5. Measure What You Do Metrics like “CUJ happiness” and “Task success” help to quantitatively measure user satisfaction and task efficiency. These metrics, based on surveys and product interactions, give you real-time feedback on specific user journeys. By measuring satisfaction and task success directly linked to specific actions, you can make informed decisions that significantly enhance the user experience. To watch the talk where I shared about 'Unlocking the Secrets of UX,' please visit this YouTube link: https://lnkd.in/dTG4fqdZ

Top education apps don't just show progress. They nail the balance of journey and action. Duolingo got 9M users to 365+ day streaks. Their iconic learning tree played a crucial role. Now ahead app (mental skills) and Yuno (knowledge) are following their playbook that balances direction with daily progress. The UX patterns that break motivation: ❌ Full roadmap on day 1: "Here are all 56 lessons to Spanish fluency!" ❌ Just today's task: "Complete Lesson 4" (without context) ❌ Information overload: Mixing progress bars, streaks, XP, and badges Here's how category leaders nail it: 1️⃣ The Journey Layer Instead of: "56 lessons remaining" Write: "You're on the path to Spanish fluency" Why? Clear progression paths maintain context 2️⃣ The Action Layer Instead of: "Choose your next lesson" Write: "Practice 'Greetings' in 5 minutes" Why? Single, clear next steps remove decision fatigue 3️⃣ The Bridge Instead of: "Lesson completed!" Write: "Basics complete → Now you can start simple conversations" Why? Each small win connects to a meaningful outcome The formula: Show the forest. Spotlight the next tree. Connect every step to the summit. Building a content-based education app? Let's talk about turning big visions into daily actions.

What's your approach to designing user flows? ✏️ -Understand the User and Goals: Start by gaining a deep understanding of the target users, their needs, and their goals. Conduct user research, interviews, and surveys to gather insights into their behaviors, pain points, and motivations. Define User Personas: Create user personas to represent different segments of your target audience. Personas help humanize the users and guide the design process to meet their specific needs. -Map the User Journey: Outline the entire user journey from the initial touchpoint to the final goal. This involves understanding the various stages users go through when interacting with your product and identifying potential entry and exit points. Identify Key User Tasks: Identify the primary tasks users want to accomplish within your product. Focus on the core functionality and prioritize these tasks in the user flow. Create a Flowchart: Visualize the user flow by creating a flowchart. Use arrows to show the sequence of steps users will take to complete their tasks. Consider different scenarios and decision points they might encounter. Keep it Simple and Intuitive: Aim for simplicity and clarity in the user flow. Minimize the number of steps required to achieve a task and avoid unnecessary complexity that could confuse users. Consistency across Platforms: If your product is available on multiple platforms (e.g., web, mobile), ensure a consistent user flow across all of them. Users should feel comfortable and familiar with the flow, regardless of the device they are using. Anticipate User Errors: Design the user flow with the anticipation of user errors or confusion. Provide clear error messages and guidance to help users recover quickly. User Testing and Iteration: Test the user flow with real users through usability testing sessions. Analyze the feedback and data to identify pain points and areas of improvement. Iterate and refine the user flow based on the insights gained. Collaborate with the Team: Involve stakeholders, designers, developers, and other team members in the user flow design process. Collaborative efforts lead to a more comprehensive and well-rounded user experience. Consider Edge Cases: Take into account edge cases and less common scenarios in your user flow design. This ensures that your product is accessible and usable for all users, regardless of their specific circumstances. Accessibility and Inclusivity: Design with accessibility and inclusivity in mind. Ensure that the user flow is usable by people with disabilities and diverse backgrounds.