Lesson pocket
Review a craft lesson video thumbnail, chapter markers and a practice checklist.
Back to work
- Hands-on learning
- AI mobile concept
Skillnestor
A practical learning companion with cited lesson answers, adaptive review and personal practice journals.
Designed around4 AI workflows
Project overview
Skillnestor explores hands-on learning through a mobile experience built around a lesson card stack with video snippet and practice checklist. A practical learning companion with cited lesson answers, adaptive review and personal practice journals. The proposed journey connects lesson pocket, ask this lesson, practice remix, learning notebook. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed Java architecture.
The challenge
Learners need explanations connected to the exact lesson and a way to distinguish generated practice from instructor material. On a phone, the person also needs to capture information quickly, understand where an answer came from and return to the original material without navigating through a dense desktop interface.
- Keep lesson pocket and ask this lesson connected within a short mobile flow.
- Make lesson retrieval correctable when the model misreads the input.
- Explain reflection prompts through visible references or user-selected preferences.
- Keep changes, sharing and data retention under explicit user control.
Our solution
The design begins with a lesson card stack with video snippet and practice checklist, using large touch targets, short task sequences and contextual sheets. Answer questions from the selected transcript with time references. Draft practice questions around learner-selected topics. The companion views keep drafts, original material and accepted decisions distinct. A cobalt, amber and white visual system gives this app its own character within the collection.
- Answer questions from the selected transcript with time references.
- Draft practice questions around learner-selected topics.
- Suggest questions for reviewing the learner's own progress.
- Find relevant moments across saved lesson transcripts.
Key features
Inside the platform
Make the next learning step understandable.
Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.
Proposed technology stack
Proposed Android architecture using Java and Android Views. AI processing, storage and synchronization are design proposals for this concept, not integrations implemented by this portfolio.
- Java
- Android Views
- SQLite
- AI services
The results
The concept defines four mobile views, four AI workflows and twelve feature areas. The next validation would ask a user to complete lesson pocket, inspect the proposed ask this lesson output and correct an intentional extraction or suggestion error. Evaluation would focus on source traceability, correction effort and task completion. No usability study or business-impact measurement is claimed.
4Original mobile showcase views
4Proposed AI workflows
12Designed feature areas
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