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Topics
What is adaptive learning?
How do adaptive learning platforms work?
What benefits do adaptive learning platforms offer?
What factors should I consider when choosing an adaptive learning platform?
How do AI and machine learning contribute to adaptive learning?
Are there free trials or demo versions available?
Which adaptive learning platform is best suited for corporate training versus higher education?
What are some limitations of adaptive learning platforms?
Learning doesn’t look the same for everyone. Some students move quickly, while others need more time. That’s where adaptive learning comes in. It utilizes AI to tailor lessons to each individual's learning style. The goal is to make learning more effective by adjusting the content as you progress, based on your learning needs.
In this blog, we’ll look at 8 platforms making waves in 2025. These tools help students stay on track and support teachers as well. Many of them work with tools schools already use, making it easier to offer learning that fits each student.
• Personalized Learning: Adaptive learning utilizes AI and data-driven methods to tailor educational experiences that improve student engagement and course outcomes.
• Individualized Feedback: By analyzing adaptivity factors—such as learner behaviors, performance metrics, and content preferences—these platforms offer targeted support.
• Diverse Solutions: Top platforms such as Whatfix, EdApp, 360Learning, Adaptemy, Knewton Alta, Realizeit, Pearson Interactive Labs, and Smart Sparrow offer specialized functions for both corporate training and academic settings.
• Continuous Improvement: These systems deliver real-time learning analytics and feedback to help educators and trainers refine instructional methods.
Adaptive learning systems are innovative educational tools that utilize artificial intelligence and machine learning to deliver personalized learning experiences tailored to each student. These systems aim to tailor the learning process to individual students' needs, abilities, and learning styles, allowing them to learn at their own pace.
By continuously analyzing student data, adaptive learning systems can dynamically adjust the content, difficulty, and pacing of the material to suit each learner's unique profile.
The potential of adaptive learning technologies to revolutionize education lies in their ability to create customized learning paths. These paths are designed to address the specific strengths and weaknesses of each student, ensuring that they receive the support they need to succeed.
Whether in a classroom setting or through online courses, adaptive learning systems provide a flexible and responsive learning environment that caters to the diverse needs of individual students.
Adaptive learning technology focuses on delivering personalized experiences by allowing instructors to adapt instruction based on real-time data. Through sophisticated data collection and AI algorithms, adaptive systems analyze learner performance and dynamically update the educational content to meet the needs of each student.
As a result, students receive immediate feedback and targeted remediation—which fosters higher levels of engagement and improved learning outcomes. This personalized approach—emphasized by real-time feedback and adjustable pacing—has proven to elevate both academic performance and workplace training efficiency.
• Assessment: The system starts by evaluating a learner's current knowledge and skills through their student answers.
• Personalization: AI algorithms adjust the curriculum on-the-fly based on student answers. For instance, if a learner is struggling with a concept, additional support materials, quizzes, or multimedia resources are delivered immediately.
• Feedback Loop: As learners progress, real-time feedback refines the instructional path, enabling them to reach mastery before moving on to more advanced topics.
• Predictive Analytics: Many platforms use predictive tools to forecast future learning needs based on past performance—enabling proactive interventions.
Adaptive learning platforms assess multiple variables, including:
• Learner Behavior: Tracking time spent on modules and interaction types helps in reviewing learner behaviors.
• Performance Metrics: Using assessment scores and completion rates to evaluate learner's performance and adjust content difficulty.
• Knowledge Mastery: Identifying gaps so that remediation is immediately provided.
• Learner Preferences: Factoring in styles and content formats that work best for individual users.
These combined factors enable a highly personalized learning journey that is both efficient and engaging.
Whatfix is considered one of the best adaptive learning platforms for enterprise applications, excelling at delivering interactive, context-sensitive guidance. Its adaptive capabilities now include step-by-step digital flows, in-app tips, and customizable task lists that adjust based on user actions.
Latest Updates:
• Recent reviews highlight a robust customization framework and responsive support, with estimated monthly pricing in the $1,200–$2,000 range for enterprise clients.
EdApp (also recognized as SC Training) leverages AI to create tailored microlearning experiences.
Key Features:
• An extensive library of pre-built, interactive courses with gamified elements.
• Features such as "Brain Boost" use spaced repetition to enhance retention.
Pricing & Ratings:
• Rated around 4.7/5 and offers a free self-authored plan for basic use.
360Learning stands out for its collaborative approach to learning by integrating AI-powered recommendations and social features.
Key Features:
• Collaborative course creation tools that empower in-house experts to co-create content.
• AI-driven analytics to create personalized learning paths.
Pricing:
• Pricing starts at approximately $8 per user per month.
Based in Dublin and founded in 2012, Adaptemy provides an adaptive learning engine that integrates seamlessly with existing learning management systems.
Key Points:
• Provides detailed learner profiles and curriculum mapping using xAPI standards.
• Ideal for both educational institutions and corporate training initiatives.
Funding & Status:
• A seed-funded, VC-backed company with a compact team, continually innovating in AI-driven adaptive learning.
Knewton Alta is renowned for its adaptive courseware for higher education, particularly in math, science, and economics.
Key Features:
• Personalized learning paths that continuously adjust based on student performance.
• Detailed analytics dashboards enable instructors to monitor progress and identify areas for improvement. These dashboards enable instructors to understand how learners engage with the course materials, allowing them to refine and improve their educational content.
Pricing Updates:
• For individual learners, courses are priced at approximately $44 per course for a two-year access period, while institutional pricing may vary.
Realizeit is a multi-award-winning adaptive learning platform specializing in enhancing training programs through its AI-powered engine. Its AI-powered engine tailors educational experiences by dynamically adjusting content for each learner.
Key Features:
• One-on-one personalized learning paths across text, video, quizzes, and simulations.
• Real-time progress tracking and insights for trainers and managers.
Pricing:
• Pricing is available upon contact with a focus on enterprise-level deployments.
Pearson Interactive Labs transforms science education by providing adaptive, interactive online laboratories.
Key Features:
• Simulated lab environments that offer hands-on virtual experiments.
• Real-time feedback and guided remediation for complex scientific concepts.
Usage:
• Widely used in higher education and professional training to supplement or replace in-person lab sessions.
Originally an independent adaptive learning platform, Smart Sparrow is now part of Pearson.
Key Features:
• A dynamic, drag-and-drop authoring tool that allows educators to create personalized, interactive courseware.
• Emphasis on adaptive feedback and personalized learning paths.
Recent Update:
• Now integrated within Pearson's suite of adaptive solutions, reinforcing its role in customized learning experiences.
| Platform | Primary Focus | Key Strength | Pricing |
|---|---|---|---|
| Whatfix | Enterprise Applications | Interactive guidance | $1,200-$2,000/month |
| EdApp | Microlearning | Gamification | Free plan available |
| 360Learning | Collaborative Learning | Social features | $8/user/month |
| Adaptemy | Education Integration | xAPI standards | Contact for pricing |
| Knewton Alta | Higher Education | Math & Science focus | $44/course (2-year) |
| Realizeit | Workforce Training | Personalized paths | Enterprise pricing |
| Pearson Labs | Science Education | Interactive online laboratories | Contact for pricing |
| Smart Sparrow | Course Authoring | Interactive content | Part of Pearson suite |
Creating adaptive learning experiences involves the strategic use of adaptive learning software and technologies to design and deliver personalized educational content. This process includes several key components: adaptive assessment, adaptive sequence, and adaptive content.
Adaptive assessment is a critical element that adjusts the difficulty level of questions based on a student's responses. This ensures that each learner is challenged appropriately, neither overwhelmed by too-difficult questions nor bored by too-easy ones.
By continuously collecting and analyzing student data, adaptive sequence technology can automatically modify the order in which content is presented. This dynamic adjustment helps maintain an optimal learning path tailored to the learner's progress and needs.
Adaptive content further enhances the learning experience by providing personalized feedback and additional resources tailored to the learner's specific responses. This targeted approach ensures that students receive the support they need exactly when they need it, fostering a more engaging and effective learning process.
Adaptive technology has the potential to significantly improve the learning process by providing personalized learning experiences, timely feedback, and targeted support. Adaptive learning platforms utilize artificial intelligence and machine learning algorithms to analyze student data and adjust the learning content accordingly.
This enables students to learn at their own pace, review concepts as needed, and receive immediate feedback on their performance.
One of the key benefits of adaptive technology is its ability to identify knowledge gaps and provide targeted support to students who need it most. By continuously monitoring student progress, these systems can offer timely and targeted interventions, helping students stay on track and achieve their learning objectives.
Adaptive learning systems, such as intelligent tutoring systems, play a crucial role in this process. These systems provide real-time feedback and support, enabling students to identify their weaknesses and build upon their strengths.
By creating a responsive and adaptive learning environment, educators can ensure that each student receives the individualized support they need to succeed. Leveraging adaptive technology in education ultimately leads to improved learning outcomes, increased student engagement, and a more effective and efficient learning process.
Adaptive teaching methods combine AI-driven personalization with dynamic content delivery to enhance learning through personalised learning. By continuously monitoring learner behavior and performance, these platforms:
• Provide tailored feedback and remediation.
• Enable self-paced learning through personalized pathways.
• Allow instructors to re-focus resources on high-impact teaching moments.
Intelligent tutoring systems offer personalized support to individual learners, utilizing artificial intelligence to simulate the role of a human tutor and tailor instruction to students' unique needs.
This adaptive approach is increasingly essential in both corporate and educational settings to support diverse learning needs and improve outcomes.
When selecting an adaptive learning platform, consider these factors:
• Customization & Integration: Ensure the platform integrates with existing systems (LMS/LXP) and aligns with your training objectives. Adaptive learning solutions should be able to create customized courses tailored to the individual needs of learners.
• User Interface & Experience: A user-friendly design minimizes the learning curve for both learners and instructors.
• Analytics & Feedback: Robust reporting tools and real-time monitoring capabilities are critical for continuous improvement. The platform should offer content that enhances relevant skills by providing personalized guidance.
• Pricing Structure: Determine whether pricing is based on a per-user/month or per-course model, and verify if free trials are offered.
• Security & Compliance: Look for platforms that adhere to strict data privacy standards, which are essential for handling sensitive educational data.
Adaptive learning is transforming education and training by offering personalized, data-driven, and scalable learning experiences. The platforms highlighted—Whatfix, EdApp/SC Training, 360Learning, Adaptemy, Knewton Alta, Realizeit, Pearson Interactive Labs, and Smart Sparrow—each bring unique features and benefits.
By carefully selecting the platform that best aligns with your goals, you can create engaging, efficient, and adaptive learning environments that enhance knowledge retention and performance. Embrace adaptive learning in 2025 to empower your workforce and ensure every learner receives the personalized support they need to succeed.
Note: All numerical pricing and ratings details have been fact-checked as of early 2025 from industry sources and recent product reviews. For the most accurate and up-to-date information, please visit the platforms' official websites or contact their sales representatives directly.
