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Setiady Ibrahim Anwar

Frontend Developer & UI/UX Designer creating modern, user-friendly web experiences.

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Tangerang, Indonesia

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HomePortfolioSkillpath AI Learning App - UI Mobile App

March 2024

Skillpath AI Learning App - UI Mobile App

AI-powered learning platform UI concept that won 1st place in UI/UX Competition.

FigmaAdobe XDIllustrator
Skillpath AI Learning App - UI Mobile App

Overview

AI Learning Concept

Skillpath is a visionary mobile learning application concept that was awarded 1st Place at the Vocational Of Champions UI/UX Competition (UNS). It transforms the traditional e-learning experience by integrating Artificial Intelligence to create hyper-personalized adaptive learning paths. Addressing the industry-wide problem of 'content overload', Skillpath replaces static course catalogs with a dynamic 'Smart Guide' that evolves with the learner. The application serves students and lifelong learners who struggle with self-discipline and curriculum planning.\n\nI designed the entire user experience using Figma for high-fidelity prototyping and Adobe XD for interaction flows. The core innovation lies in the 'AI-First' navigation structure, which removes the friction of choosing 'what to learn next' by presenting a curated daily feed of micro-lessons. The design system features calm, focused aesthetics to reduce cognitive load, predictive progress visualization that motivates users by showing future milestones, and contextual micro-interactions that provide immediate, satisfying feedback for every completed task. This project demonstrates how human-centered design can leverage AI to make complex learning goals feel achievable and engaging.

Role

Lead UI/UX Designer & Researcher

Timeline

March 2024

Tools

Figma, Adobe XD, Illustrator

Links

Key Responsibilities

    Impact & Results

    • Won 1st Place in UI/UX Competition at UNS
    • ~92% positive feedback from competition jury
    • Praised for 'innovative use of AI context in UI'
    • Selected for university design showcase

    Challenges

    The Challenge

    The primary challenge was designing an interface that felt 'smart' without being intrusive. I had to balance the AI's automated recommendations with the user's need for autonomy, ensuring learners felt guided rather than controlled.

    Problem illustration

    Problem

    Self-directed learners often suffer from 'decision paralysis' when facing massive course catalogs. Without a clear, personalized structure, many lose motivation and drop out before completing their first module.

    Overwhelming choices

    Traditional LMS interfaces present too many options, causing anxiety and hesitation.

    Lack of structure

    Self-paced students struggle to build their own curriculum and stick to a schedule.

    Static content

    Generic courses fail to adapt to a learner's specific strengths and weaknesses.

    Engagement drop-off

    Without personalized feedback, learners lose the emotional connection to their goals.

    Solution

    Skillpath introduces an adaptive interface where the 'Home' screen is a singular, focused task list generated by AI. I designed the UX to prioritize 'doing' over 'browsing', removing barriers between the user and their learning material.

    Adaptive dashboard

    A smart home screen that changes daily based on the user's performance and goals.

    Focus mode UI

    Distraction-free lesson players that maximize screen real estate for content.

    Visual mastery paths

    Gamified progress maps that show the user exactly where they are in their journey.

    Motivational feedback

    Positive reinforcement loops designed into completion screens and milestone badges.

    Solution illustration

    Process

    The Journey

    Problem Discovery

    Problem Discovery

    Interviewed students and professionals to uncover why they abandoned previous online courses, identifying 'lack of guidance' as the core issue.

    Conceptualization & User Flows

    Conceptualization & User Flows

    Mapped out the 'Adaptive Learning Loop', defining how user actions would trigger AI adjustments in the interface.

    Wireframing the 'Smart Interface'

    Wireframing the 'Smart Interface'

    Created low-fidelity layouts that tested different ways to present AI recommendations without confusing the user.

    High-Fidelity Visual Design

    High-Fidelity Visual Design

    Developed a 'Calm Tech' visual language using soft colors and ample whitespace to reduce anxiety during study sessions.

    Prototype & Validation

    Prototype & Validation

    Built a clickable prototype demonstrating the 'Day 1 vs Day 30' evolution of the dashboard, which was key to winning the competition.

    Outcomes

    1st PlaceCompetition Winner

    The concept secured top honors for its unique approach to solving e-learning fatigue.

    92%Jury Approval

    Judges highlighted the simplicity and clarity of the 'Smart Guide' navigation flow.

    3FeaturesDesign Awards

    Received recognition for Best Visual Design, Best UX Writing, and Innovation.

    100%Feasibility Score

    Rated highly for being a realistic, implementable product vision using current tech.

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