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LEARNING SCIENCES · DESIGN · TECHNOLOGY

Better Learning.Smarter Technology.

We help organizations design effective learning experiences and digital learning systems, informed by learning science and responsible AI adoption.

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Sawangsulna Teknologi StudioLearning & Technology Studio

Learning Sciences × Experience Design × AI & TechnologyLearning SciencesExperience DesignAI & Technology
From learning need, to design, to technology, to evaluation.

About STS

We Start With the Learning Problem

Since 2021, Sawangsulna Teknologi Studio has focused on helping educational institutions, companies, and organizations design learning experiences, develop internal digital learning systems, and implement learning technology.

We connect learning science, experience design, and technology—including responsible AI—to support sustainable organizational capabilities.

Every engagement begins by understanding who is learning, what they need to master, and how that learning will be used at work. Technology comes after, chosen to fit the organization’s needs and readiness.

How we think

  • Learning problem first

    We diagnose goals, learners and the work context before discussing platforms or features.

  • Evidence-informed design

    Methods are chosen because they fit the objective and the evidence, not because they are trending.

  • Right-sized technology

    We recommend solutions your own team can operate and maintain.

  • Measured and candid

    Results are evaluated against agreed indicators, and limitations are stated openly.

Challenges

A Platform Alone Is Not Enough

Many organizations have already invested in an LMS or digital content, yet the effect on capability remains unclear. These are the patterns we see most often:

FragmentedScattered content; learners unsure where to begin.Connected & guidedOne clear learning path toward capability.

  1. Passive LMS

    The platform stores materials and records completions, but offers little room for practice and feedback.

  2. Fragmented learning

    Training, content and assessment are spread across many channels with no clear journey for learners.

  3. Weak alignment

    Program goals, learning activities and assessment are not connected to the capabilities the work requires.

  4. Limited evaluation

    Only attendance and completion are measured; application on the job is never known.

  5. Uncertain AI adoption

    Teams want to use AI but lack agreed use cases, boundaries and governance.

These problems are rarely solved by switching platforms. They need learning design, systems and ways of working that reinforce each other.

Services

Our Expertise

Five service areas, delivered on their own or as one integrated program, scoped to your organization’s stage and capacity.

01 / 05

Learning Strategy & Consulting

Mapping needs and setting the direction for organizational learning.

The problem

Training programs are running, but it is unclear which capabilities they build and how they fit together.

What we do

  • Learning needs analysis
  • Competency mapping
  • Learning strategy
  • Learning ecosystem audit
  • Transformation roadmap

Deliverables

  • Diagnostic report
  • Learning roadmap
  • Competency map
  • Architecture recommendation

Intended outcome

Clear development priorities that leadership can stand behind.

02 / 05

LMS Development & Implementation

Selecting, setting up and running an internal digital learning system.

The problem

The organization needs a learning platform that is actually used, integrated, and manageable by an internal team.

What we do

  • Platform evaluation and selection
  • Implementation and configuration
  • Custom development where justified
  • Migration and data integration
  • Governance and adoption support

Deliverables

  • Solution blueprint
  • Configured or built LMS
  • Migration checklist
  • Enablement plan

Intended outcome

A platform that fits the need, is adopted by users, and is sustainable to run.

03 / 05

Instructional & Learning Experience Design

Designing curricula, journeys and materials that lead to application.

The problem

Content exists, but learners struggle to understand it, practice it and apply it at work.

What we do

  • Curriculum and learning pathways
  • Blended learning
  • Case-based learning
  • Interactive content
  • Authentic assessment and constructive alignment

Deliverables

  • Learning design blueprint
  • Learning journey map
  • Course or module prototypes
  • Evaluation rubrics

Intended outcome

Learning experiences that are relevant, well structured, and support transfer to work.

04 / 05

Learning Analytics & Evaluation

Measuring what actually changes after a program runs.

The problem

Completion and attendance data exist, but they do not show whether the program made a difference.

What we do

  • Learning performance indicators
  • Dashboards, where commissioned
  • Completion and engagement analysis
  • Competency assessment
  • Learning transfer evaluation

Deliverables

  • Evaluation framework
  • Measurement specification
  • Findings and recommendations

Intended outcome

Program decisions grounded in evidence rather than assumptions.

05 / 05

AI Learning Enablement

Helping teams adopt AI safely, purposefully and usefully.

The problem

Interest in AI is high, but readiness, boundaries and agreed use cases are missing.

What we do

  • AI literacy for staff and educators
  • AI-assisted learning design processes
  • AI tutor or assistant concepts, where capacity exists
  • AI readiness assessment
  • Governance and human oversight

Deliverables

  • AI adoption roadmap
  • Staff training plan
  • Governance checklist
  • Scoped prototype when appropriate

Intended outcome

Realistic, controlled use of AI that stays under human oversight.

Scope, methods and deliverables are agreed together at the start of every project. We do not claim official partnership with any LMS vendor.

Custom Platforms

Learning Platforms Designed for Adult Learners

Beyond implementing existing LMS products, we develop custom learning platforms for the internal needs of institutions and companies—built around how adults learn at work, not around a feature list.

Adult learners bring experience, responsibilities and limited time. They learn best when material is directly relevant to their work, when they have room to choose their path, and when they can practice and reflect on the results.

That is why we design every platform together with the organization: learning flows, terminology, roles and data follow your working context, so the platform feels like part of everyday work—not one more system to learn.

Role & competency: Learn → Practice → Reflect → ApplyRole &competencyLearnPracticeReflectApply
The adult learning cycle: it starts from the role and returns to the work.

Values we build into every platform

  • Relevant to the job

    Content and activities connect directly to real tasks, roles and problems in the organization.

  • Respects experience

    Learners can skip what they already know and focus on what they actually need.

  • Self-directed, with guidance

    Flexible learning paths with clear guidance, matched to each learner’s readiness.

  • Practice and reflection

    Case studies, simulations and structured reflection encourage application at work.

  • Concise and accessible

    Usable between tasks, on any device, with accessibility in mind.

  • Your data, your rules

    Learning data is managed under the organization’s policies and used to improve programs.

Components we can develop as needed

  • Role- and competency-based learning paths
  • Spaces for practice, cases and reflection
  • Authentic assessment and feedback
  • Cohort programs and facilitator support
  • Progress dashboards for learners and managers
  • Integration with internal systems, where needed

We recommend custom development only when available platforms fall short. Scope, features and development phases are agreed together at the start of each project.

Methodology

How We Work

Six stages that move from the learning problem to design, technology, implementation and evaluation. The depth of each stage follows the scope of the project.

Project stages

  1. Discover

    Understand the organization, learners, constraints and existing systems through interviews, observation and data review.

    Output: Diagnostic summary

  2. Define

    Agree learning goals, target capabilities and success indicators with stakeholders.

    Output: Goals and indicators

  3. Design

    Build the learning architecture: flow, activities, assessment and the right role for technology.

    Output: Design blueprint

  4. Build

    Develop prototypes, content and system configuration, then test with users before scaling.

    Output: Tested prototype

  5. Implement

    Support the launch, prepare facilitators and administrators, and build habits of use.

    Output: Enablement plan

  6. Evaluate

    Measure results against the agreed indicators and plan improvements for the next cycle.

    Output: Findings and recommendations

Learning sciences toolbox

Frameworks we consider when designing. Each is applied selectively, according to the objective and context.

These frameworks are not equally validated, not interchangeable, and not all required in every project. We select evidence-aligned methods based on objectives, audience, constraints and the evaluation plan.

  • Andragogy

    Use in engagements
    Relevance, learner experience and practical context.
    Guardrail
    Not a universal rule for all adult learners.

  • Transformative Learning

    Use in engagements
    Reflection, assumption-testing and perspective change.
    Guardrail
    Requires appropriate facilitation and context.

  • Heutagogy

    Use in engagements
    Learner agency and self-determined pathways.
    Guardrail
    Needs support and learner readiness.

  • Cognitive Load Theory

    Use in engagements
    Segmentation, worked examples and reducing extraneous load.
    Guardrail
    Balance load with productive complexity.

  • Deep / Meaningful Learning

    Use in engagements
    Conceptual understanding and transfer to new situations.
    Guardrail
    Distinct from “deep learning” in AI.

  • Retrieval & Spacing

    Use in engagements
    Structured practice and long-term recall.
    Guardrail
    Tune spacing and feedback to learner needs.

  • Experiential Learning

    Use in engagements
    Practice, simulation and authentic problems.
    Guardrail
    Reflection and transfer remain essential.

  • Universal Design for Learning

    Use in engagements
    Multiple means of engagement, representation, and action and expression.
    Guardrail
    Accessibility and outcomes remain key.

AI & Learning

Learning in the AI Era

AI can speed up design work and enrich learning experiences, but it does not replace educators, facilitators or sound instructional practice. We treat it as a tool, chosen with care.

Approved sources → AI draft → Human review → Ready to use. AI drafts from approved sources; people review, revise and decide.GOVERNANCE & GUARDRAILSApproved sourcesAI draftHuman reviewReady to use
AI drafts from approved sources; people review, revise and decide.

Use cases we support

  • Needs synthesis

    Helping summarize interviews, surveys and documents as input for analysis.

  • Learning-path drafting

    Producing first drafts of flows and module sequences for designers to review.

  • Content and scenario ideation

    Developing contextual variations of cases, scenarios and practice tasks.

  • Formative feedback design

    Designing feedback patterns that help learners correct their understanding.

  • Contextual learning assistants

    Concepts for assistants that answer from the organization’s approved materials.

  • AI literacy and governance

    Training staff to use AI well and drafting the rules for its use.

The use cases above are conditional capabilities. Their feasibility is established per project through limited pilots, not promised as production-ready from the start.

Guardrails we always apply

  • Human sign-off

    Every AI output is reviewed and approved by an accountable person before use.

  • Data protection

    Organizational and personal data are not sent to AI services without a clear basis and safeguards.

  • Accuracy and grounding

    Hallucination, bias and copyright risks are evaluated; answers are tied to checkable sources.

  • Transparency and cost

    AI use is disclosed openly, including data retention, cost and impact.

  • High-stakes decisions

    We do not automate important decisions about learners without adequate governance.

Sectors

Who We Serve

Every sector learns differently. We adapt our approach to each organization’s culture, regulation and capacity.

  • Education

    Schools, universities and education providers developing curricula and digital learning.

    • LMS implementation
    • Online course design
    • Educator capability building

  • Corporate & Enterprise

    HR and L&D teams building onboarding, capability development and internal academies.

    • Onboarding programs
    • Corporate academies
    • Training impact evaluation

  • Training Providers

    Training and certification providers running cohort-based and distributed programs.

    • Cohort programs
    • Certification pathways
    • Facilitator readiness

  • Nonprofits & Institutions

    Nonprofits and institutions strengthening the capacity of staff, partners or communities.

    • Distributed training
    • Capacity building
    • Accessible materials

Contact

Let’s Design Better Learning

Tell us about the learning challenge in your organization. We will reply to arrange an initial conversation.

Send an Email
Company
PT Sawangsulna Teknologi Studio
Legal registration (AHU): AHU-0197668.AH.01.11.TAHUN 2021