Hypermedia AI in education and mathematics.pptx

this is about ai in education

1. Use of AI-Based Hypermedia in Mathematics Learning by Dr. Muhammad Khair Noordin

2. Definition of AI-Based Hypermedia AI (Artificial Intelligence) based hypermedia is an interactive multimedia system that utilizes artificial intelligence technology to present learning content dynamically and adaptively. This system consists of components such as text, graphics, audio, video and animation which are connected to each other through hypertext navigation. Artificial intelligence allows these systems to understand user needs and preferences, then adjust content and interactions in real-time.

3. Benefits of Using AI-Based Hypermedia Personalization of Learning By utilizing artificial intelligence, hypermedia can dynamically adjust content and presentation based on individual student profiles and needs. This can increase engagement and learning effectiveness. Interactive Feedback AI-based hypermedia systems can provide fast, personalized feedback, helping students understand their difficulties and directing them to the right solutions. This can motivate students and enhance the learning experience. Learning Data Analysis Hypermedia AI can collect and analyze learning data in real-time, enabling the identification of patterns and insights into student learning processes. This can help teachers adapt teaching strategies and provide better support. Learning Data Analysis With AI capabilities, hypermedia can reach more students efficiently, reducing teacher workload and enabling more flexible and affordable learning.

4. Characteristics of AI-Based Hypermedia Interactive and Responsive AI-based hypermedia has an interactive and responsive interface, allowing users to actively interact with content and get instant feedback. The system can adjust appearance and content based on user actions, creating a more engaged and effective learning experience. Adaptive and Personalized Hypermedia AI can adapt to students' individual needs, providing customized content and learning methods based on their learning style, level of understanding and learning progress. This system can provide relevant recommendations and feedback to maximize learning effectiveness. Smart Assistant Support Hypermedia AI is equipped with intelligent virtual assistants that can provide contextually relevant guidance, advice and support. These assistants can help students understand concepts, answer questions, and identify areas that need more attention, thereby promoting a more effective learning experience.

5. AI-Based Hypermedia Components User Interface The main component of AI-based hypermedia is an interactive and easy-to-use user interface. This interface makes it easy for users to navigate, interact, and receive adaptive feedback based on their preferences and needs. Artificial Intelligence Module At the heart of AI-based hypermedia are artificial intelligence modules that analyze data, understand user needs, and serve content accordingly. This module uses machine learning algorithms to continuously learn and improve the user experience. Dynamic Content AI-based hypermedia delivers dynamic content tailored to each user. This content can be text, images, videos, or other multimedia elements that are selected and organized automatically based on an analysis of user needs and preferences. Analytics and Adaptation AI-based hypermedia systems continuously collect and analyze data about user interactions. This information is used to customize the learning experience, recommend relevant content, and effectively optimize learning.

6. Development of AI Hypermedia Based Teaching Media 1 Planning Identify needs, target users, and learning objectives. 2 Content Selection Choose material that is appropriate and has educational value. 3 AI integration Apply artificial intelligence technology to enhance the learning experience. 4 Trials Evaluate and improve teaching media before implementation. The development of AI hypermedia-based teaching media involves several key stages. First, carry out design by identifying needs, target users, and learning objectives to be achieved. Second, choose appropriate content and have high educational value. Third, integrating artificial intelligence technology to enhance interactive and adaptive learning experiences. Fourth, carry out trials and evaluations to ensure the teaching media functions well before implementation.

7. Utilization of AI-Based Hypermedia as an Assessment Instrument 1 Adaptive and Personalized AI-based hypermedia can adapt content and assessment questions based on individual student profiles and abilities, providing a more personalized and effective learning experience. 2 Advanced Data Analysis AI systems can analyze student response data in depth, identify patterns, difficulties and potential, then provide accurate feedback and learning recommendations. 3 Interactive Assessment Process Students can interact dynamically with hypermedia elements, such as simulations, animations and quizzes, so that assessments become more interesting and meaningful.

8. Challenges and Obstacles to Implementing AI-Based Hypermedia Although AI-based hypermedia offers many benefits in mathematics learning, there are several challenges and obstacles that must be faced in its application. One of the main challenges is the need for adequate technological infrastructure, including hardware, software and stable internet connectivity. Additionally, developing quality hypermedia content that meets students' needs requires significant time, expertise and resources. Teachers must also have skills in using technology and designing hypermedia-based learning in order to use it effectively. Another challenge is ensuring the security and privacy of student data and maintaining the quality of interactions between students and AI systems. Another obstacle is the relatively high cost of procuring and maintaining AI-based hypermedia technology.

9. Conclusions and Recommendations Conclusion The use of AI-based hypermedia in mathematics learning has proven effective in increasing student understanding and engagement. This technology provides interactive content, personalization, and feedback that supports a more effective learning process. Development Potential In the future, the integration of AI-based hypermedia with more sophisticated artificial intelligence technology opens up many opportunities for the development of more innovative and adaptive teaching media and assessment instruments. Recommendation Adequate support and investment from stakeholders is needed to expand the adoption of this technology in schools. In addition, increasing the digital literacy of teachers and students is also important to maximize the benefits of AI-based hypermedia.