Personalized Learning in Education: A Systems-Level Guide for Institutions and Professional Learning Programs

Personalized Learning in Education: A Systems-Level Guide for Institutions and Professional Learning Programs

Personalized learning has evolved from an academic concept to something all educators now try and adopt. As learner needs bifurcate and become more unique and as education continues to expand outside of the school setting, traditional one-size-fits-all models no longer meet expectations.

While most conversations about personalization focus on K-12 students, the reality is that higher education institutions, associations, healthcare organizations, and continuing education providers are eagerly jumping on the bandwagon to personalize their offerings. For these organizations, personalization is not just a buzzword. It’s a way to increase engagement and learning outcomes.

This guide explores personalization in education from the system and design perspective as well show learning management systems (LMSs), including platforms like OasisLMS, support real-world implementation.

What Is Personalized Learning in Education?

Personalized learning is the ability to cater the education to an individual. Think of it like a student getting their own teacher but in a scalable manner, instead of learning the same concept with their entire class.

According to the U.S. Department of Education, personalized learning emphasizes learner agency, competency-based progression, and flexible learning environments that respond to individual strengths and needs.

At its core, personalized learning considers:

  • Prior knowledge and experience
  • Learning pace and readiness
  • Professional role or specialization
  • Performance and competency data
  • Learner preferences and goals

The ideal outcome is education that is hyper targeted to the individuals learning goals and needs and ends with better understanding of the subject matter.

Core Principles That Define Personalized Learning

No matter the type of education, personalized learning shares a handful of common characteristics.

Learner-Centered Design

Instruction is designer around the learner and not around the classroom, calendar or the courses available.

Competency and Mastery Focus

Progression is tied to demonstrated understanding rather than seat time—a model supported by organizations such as Competency-Based Education Network (C-BEN).

Flexible Pathways

Learners’ can move in the direction they would like depending on their interests or desires.

Data-Informed Adaptation

Assessment data and course data drive course recommendations and remediation.

Continuous Feedback

Learning is iterative, with feedback loops that support improvement over time.

Personalized Learning vs. Differentiated and Individualized Learning

Clarifying these distinctions is critical for both instructional and organizational planning.

Personalized Learning

  • Learners actively influence their learning journey
  • Paths adapt dynamically using data
  • Often enabled through LMS rules, automation, and analytics

Differentiated Learning

  • Adjustments are made for groups of learners
  • Instructor-driven
  • Limited learner control

Individualized Learning

  • One-to-one tailoring
  • Often manual and difficult to scale

Personalized learning is different because it takes the best of individualized learning and scales to many students.

Why Personalized Learning Matters Now

Personalized learning has gained in popularity because of:

  • Growth in lifelong and professional learning
  • Increased demand for flexible, on-demand education
  • Credentialing and regulatory requirements
  • Learner expectations shaped by digital experiences

Organizations such as OECD and EDUCAUSE have identified personalization as a critical driver of future-ready education.
For professional and continuing education providers, personalization also supports:

  • Better alignment with workforce needs
  • Improved learner retention and completion
  • Stronger outcomes reporting for stakeholders

Benefits of Personalized Learning Across Stakeholders

For Learners

  • Higher engagement and motivation
  • Reduced redundancy by acknowledging prior knowledge
  • Clear, goal-aligned learning journeys
  • Greater control over pace and format

For Educators and Program Teams

  • More actionable learner insights
  • Ability to reuse content across audiences
  • Reduced reliance on manual intervention

For Institutions and Organizations

  • Scalable delivery across diverse audiences
  • Stronger alignment between learning and strategic goals
  • Improved accountability and impact measurement

Personalized Learning in Practice: Beyond Traditional Education

K–12 and Higher Education

Common implementations include:

  • Mastery-based progression
  • Adaptive instructional tools
  • Competency-based degree programs

Professional, Association, and Continuing Education

In adult learning environments, personalization often includes:

  • Role- or specialty-based learning paths
  • Personalized content recommendations
  • Adaptive assessments tied to competency gaps
  • Flexible delivery formats (asynchronous, blended, microlearning)

In regulated professions, like healthcare, the education still needs to align with the requirements to earn continuing education like those established by ACCME.

The LMS as the Backbone of Personalized Learning

Personalized learning can not exist without the technology to support the scaling of personalization to many learners.

Contemporary LMS platforms enable personalization by putting all the learner data (especially healthcare related) together and serving the courses to help the learner based on their specific needs.

Key LMS capabilities include:

  • Modular content architecture
  • Rule-based learning paths
  • Conditional access and progression
  • Learner segmentation and role-based experiences
  • Performance tracking and analytics

By using technology, it allows organizations to scale to different audiences, departments or member types.

How LMS Features Enable Personalization at Scale

Learning Paths and Rules Engines

Automated rules guide learners based on role, performance, or credential requirements.

Adaptive and Diagnostic Assessments

Assessments identify gaps and direct learners to targeted content.

Data and Analytics Dashboards

Program teams gain visibility into learner progress, outcomes, and engagement.

Automation and Recommendations

Learners receive timely, relevant next steps without manual oversight.

Credentialing and Compliance Integration

For CE programs, LMS integrations ensure personalized learning aligns with reporting and accreditation requirements (e.g., PARS, CPE Monitor).

Personalized Learning in Credentialed and Regulated Education

In continuing education, personalization is as much about governance as it is about instruction.

Organizations must manage:

  • Multiple learner profiles
  • Credit types and certification rules
  • Longitudinal learner records
  • Reporting to accrediting bodies

Personalized learning in these environments often includes:

  • Credential-aware learning paths
  • Credit-based recommendations
  • Organization-level reporting and audits
  • Learner dashboards tied to compliance goals

How OasisLMS Supports Personalized Learning

OasisLMS is built for organizations delivering professional, continuing, and credentialed education, where personalization must coexist with scale and oversight.

OasisLMS supports personalized learning through:

  • Flexible, rule-based learning paths by role, organization, or learner profile
  • Conditional content access tied to performance or credentials
  • Robust learner and organizational reporting
  • Support for partial credit claiming and credential tracking
  • Integrations with certification and accreditation systems

This enables organizations to design learner-centered experiences while maintaining the governance, reporting, and compliance required in professional education environments.

Common Challenges and How to Address Them

Design Complexity

Personalization requires upfront planning and pathway mapping.

Data Strategy

Organizations must define which metrics matter and why.

Technology Alignment

Systems should support learning strategy, not dictate it.

Equity and Access

Personalization must expand opportunity, not limit it.

Successful programs treat personalized learning as a long-term capability, not a feature toggle.

Getting Started with Personalized Learning

A strategic approach includes:

  1. Defining success metrics
  2. Segmenting learner audiences
  3. Designing flexible learning pathways
  4. Aligning LMS capabilities with goals
  5. Iterating based on data and outcomes

Final Thoughts

The shift to personalized learning in adult education means the days of one size fits all is over.

For institutions, associations, and professional education providers, personalization offers a way to scale education while increasing the effectiveness of the learning outcomes. To accomplish this successfully the company must have the right technology and methodology in place.

With thoughtful design and a capable LMS, personalized learning becomes not just possible, but sustainable.

 

Sam Hirsch

Vice President, Sales and Marketing

Sam Hirsch is the Vice President of sales and marketing at 360 Factor. He has helped over 250 associations find the right LMS for their organization.

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