Adaptive learning platforms use Artificial Intelligence and data analytics to create personalized learning experiences. How do you think these platforms can improve the way students learn? How could these features impact education? Could the continuous assessment and real-time adaptation lead to an overly monitored learning environment? As we create AI-generated activities, we need to make sure there is a balance between innovation and privacy in adaptive learning, analyzing them from both pedagogical and organizational perspectives.
Adaptive learning platforms are technologically advanced tools that allow creating personalized learning experiences by using artificial intelligence (AI) and data analytics. Here are some key aspects of adaptive learning platforms:
- Personalized Learning Paths: Adaptive learning platforms tailor the learning experience to each individual’s needs, strengths, and areas for improvement. For example, a math app adjusts the difficulty of problems, providing more challenging questions as learners progress based on their performance.
- Real-Time Adaptation: Learner performance is continuously analyzed, and the content and activities are adapted in real-time. For example, an online language course offers additional practice exercises for grammar topics where the learner shows weaknesses.
- Diverse Content Formats: Adaptive learning platforms often provide content in various formats, such as text, video, and interactive simulations, to cater to different learning styles. For example, a science course includes video lectures, interactive lab simulations, and text-based readings.
- Continuous Assessment and Feedback: These platforms offer ongoing assessments and instant feedback to help learners understand their progress and areas needing improvement. For example, an online coding platform provides immediate feedback on code submissions, highlighting errors and suggesting corrections.
- Data-Driven Insights: Adaptive learning platforms use data analytics to provide insights into learning patterns, helping educators and learners make informed decisions. For example, a dashboard tracks student progress and identifies topics where multiple learners are struggling, allowing instructors to address these areas in more detail.
Example:
SC Training: test
The computer icon below leads to the 30-slide AI-generated (SC Training) presentation Engagement as a UDL Principle.
This set of interactive slides guides you through the core principles of the topic and dynamically provides knowledge checks (opens in a new tab).
So, what you think, have you got better understanding of the concept after going through the presentation slides and the interactive quizzes? Is there anything that is missing in this learning activity?
Practice:
Design a compact learning object using an adaptive learning tool such as SC Training. Evaluate the AI-generated learning object according to pedagogical, social, and technological quality aspects. Share the observations and the URL of the learning object with peers for comments.
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Select a Subject or Topic: Choose a subject or topic you want to teach. This could be anything from a math concept to a historical event or a scientific principle.
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Identify Learner Needs: Understand learner needs related to their level of preparedness, unique interests, cultural affiliations, and identities.
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Design the Learning Object: Consider the following examples for your prompts:
- Math Concept: “Create a learning object that explains the Pythagorean theorem using interactive diagrams and practice problems.”
- Historical Event: “Design a learning object that covers the causes and effects of the French Revolution, including videos and primary source documents.”
- Scientific Principle: “Generate a learning object that demonstrates the principles of Newton’s laws of motion with simulations and real-world examples.”
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Publish the AI-Generated Learning Object: Obtain a public preview link.
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Evaluate the Learning Object:
Pedagogical Aspects:
- Engagement: Evaluate how well the learning object captures and maintains student interest. Look for the use of interactive elements that make learning enjoyable and engaging.
- Differentiation: Assess the variety of content formats included in the learning object. Check if it incorporates text, video, and interactive simulations to cater to different learning styles and needs.
- Feedback: Analyze the quality and timeliness of feedback provided to learners. Ensure that the learning object offers immediate and constructive feedback to help learners understand their progress and areas for improvement.
- Assessment: Evaluate the effectiveness of the assessments included in the learning object. Determine if the assessments accurately measure student understanding and progress, and if they provide meaningful insights into learner performance.
Social Aspects:
- Privacy: Evaluate the measures taken to protect learner privacy. Check for compliance with relevant regulations and the transparency of data usage.
- Ethical Considerations: Assess the ethical implications of using AI in education. Consider the balance between innovation and privacy, and the potential impact on learners’ rights and autonomy.
Technological Aspects:
- Usability: Evaluate the ease of use and accessibility of the learning object. Ensure that it is user-friendly and accessible to all learners, including those with disabilities.
- Data Security: Analyze how the platform handles and secures learner data. Check for robust security measures and protocols to protect sensitive information.
- Adaptability: Assess how well the learning object adapts to individual learner performance in real-time. Look for features that personalize the learning experience based on continuous assessment and feedback.
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Share the description of your designed learning object, indicating the pedagogical, social, and technological aspects it addresses. Provide the URL of the AI-generated learning object and invite peers to comment and provide feedback.
Resources:
- SC Training – Creator tool designed to streamline the creation process of the learning objects that can be accessed anytime, anywhere, on any internet-connected device. Generate course content using AI, which can help brainstorm ideas, reduce research time, and build bite-sized information. Incorporate multimedia, interactive simulations, and quizzes to make learning engaging and fun.
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Meet Khanmigo: Khan Academy’s AI-powered teaching assistant & tutor Khan Academy: Khan Academy uses AI to personalize learning experiences based on individual student performance. It provides tailored practice exercises and instructional videos to help students progress at their own pace. Khan Academy offers free options for AI-powered learning through their platform. They have integrated AI tools like Khanmigo, which is powered by GPT-4, to enhance the learning experience. Khanmigo acts as a personal tutor and teaching assistant, providing personalized support and adapting to the learner’s needs
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Duolingo: leverages AI to adapt language learning exercises to the user’s proficiency level. It offers a gamified learning experience that adjusts the difficulty of exercises based on the learner’s performance.
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Quizlet: uses AI to create adaptive study sets and learning tools. It includes features like flashcards, quizzes, and games that adapt to the learner’s progress and help reinforce learning. Quizlet offers free options for both learners and teachers. Students can access study sets, flashcards, and various learning modes without any cost. Teachers can also use Quizlet to create and share educational resources, and they can engage students with in-class games like Quizlet Live
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