TECHprovides you with a 100% online methodology, based on free access to content and teaching customization"

Augmented Reality can be applied in educational environments to enrich the learning experience of students.  For example, this tool provides students with fully immersive learning trials, allowing them to explore situations that would otherwise be inaccessible. Learners can interact with the content and participate more actively in the teaching process. This implies an improvement in the retention of information and understanding of complex concepts. 

In this context, TECH launches a Postgraduate diploma that will focus on AI as an educational support and resource for interactive learning. The syllabus will delve into the use of facial and emotional recognition technologies, aimed at monitoring the participation and well-being of students. At the same time, the syllabus will delve into the integration of proposals in specific subjects such as Mathematics, Languages and History. In this way, educators will be nourished with innovative resources that will improve their teaching practice and provide dynamic learning processes. The program will also emphasize the challenges in the protection of privacy and confidentiality of student data.

All this will be presented through a high-impact informative compendium, enriched with audiovisual materials, complementary readings and practical exercises developed with the Relearning methodology. In this way, professionals will be confronted with real cases and simulations that will allow them to test their new knowledge, while at the same time learning about the requirements of the professional field.  In addition, the program has a 100% online format, easily accessible from any device with an Internet connection and without pre-established schedules. Therefore, experts will find it easier to combine their daily routine and care work with the updating of their knowledge.

You will learn through real cases and by solving complex situations in simulated learning environments”

This Postgraduate diploma in Artificial Intelligence Technologies in Education contains the most complete and up-to-date educational program on the market. 

• The most important features include:
• The development of case studies presented by experts in Artificial Intelligence Technologies in Education
• The graphic, schematic and practical contents of the book provide theoretical and practical information on those disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies 
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You will ensure the privacy of sensitive data in the educational environment, ensuring the safety of your students"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities. 

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations. 

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will develop advanced methods for student assistance, such as the implementation of chatbots and virtual assistants"

Relearning will allow you to learn with less effort and more performance, getting more involved in your professional specialization"

With a theoretical-practical approach, this program will focus on Machine Learning Technologies in the educational field. Designed by experts in the field, the syllabus will include concepts such as neural networks or natural language processing. At the same time, the syllabus will provide students with a wide range of technological resources, among which augmented reality and predictive analytics stand out. In this way, teachers will optimize their educational projects to improve the students' experience. They will also gain an ethical awareness of data policy and legislations for the responsible use of AI. 

You will effectively employ the most advanced Machine Learning technologies and foster interactive teachings"

Module 1. Development of Artificial Intelligence Projects in the Classroom

1.1. Planning and Design of AI Projects in Education

1.1.1. First Steps to Plan the Project
1.1.2. Knowledge Bases
1.1.3. Design of AI Projects in Education

1.2. Tools for the Development of Educational Projects with AI

1.2.1. Tools for the Development of Educational Projects
1.2.2. Tools for Educational Projects in History
1.2.3. Tools for Educational Projects in Mathematics
1.2.4. Tools for Educational Projects in English

1.3. Strategies for Implementing AI Projects in the Classroom

1.3.1. When to Implement an AI Project
1.3.2. Why Implement an AI Project
1.3.3. Strategies to be Implemented

1.4. Integration of IA Projects in Specific Subjects

1.4.1. Mathematics and AI
1.4.2. History and IA
1.4.3. Languages and IA
1.4.4. Other Subjects

1.5. Project 1: Developing educational projects using machine learning

1.5.1. First Steps
1.5.2. Requirements
1.5.3. Tools to be Used
1.5.4. Project definition

1.6. Project 2: Integration of AI in the Development of Educational Games

1.6.1. First Steps
1.6.2. Requirements
1.6.3. Tools to be Used
1.6.4. Project definition

1.7. Project 3: Development of Educational Chatbots for Student Assistance

1.7.1. First Steps
1.7.2. Requirements
1.7.3. Tools to be Used
1.7.4. Project definition

1.8. Project 4: Integration of Intelligent Agents in Educational Platforms

1.8.1. First Steps
1.8.2. Requirements
1.8.3. Tools to be Used
1.8.4. Project definition

1.9. Evaluating and Measuring the Impact of AI Projects in Education

1.9.1. Benefits of Working with AI in the Classroom
1.9.2. Actual Data
1.9.3. IA in Classroom
1.9.4. AI Statistics in Education

1.10. Analysis and Continuous Improvement of AI in Education Projects

1.10.1. Current Projects
1.10.2. Commissioning
1.10.3. What the Future Holds
1.10.4. Transforming the Aulas 360

Module 2. Innovations and Emerging Trends in AI for Education

2.1. Emerging AI Tools and Technologies in Education

2.1.1. Obsolete AI Tools
2.1.2. Current Tools
2.1.3. Future Tools

2.2. Augmented and Virtual Reality in Education

2.2.1. Augmented Reality Tools
2.2.2. Virtual Reality Tools
2.2.3. Application of Tools and their Uses
2.2.4. Advantages and Disadvantages

2.3. Conversational AI for Educational Support and Interactive Learning

2.3.1. Conversational AI, Why Now?
2.3.2. AI in Learning
2.3.3. Advantages and Disadvantages
2.3.4. Applications of AI in Learning

2.4. Application of AI for Improving Knowledge Retention

2.4.1. AI as a Support Tool
2.4.2. Guidelines to Follow
2.4.3. AI Performance in Knowledge Retention
2.4.4. AI and Support Tools

2.5. Facial and Emotional Recognition Technologies for Tracking Learner Engagement and Well-Being

2.5.1. Facial and Emotional Recognition Technologies on the Market Today
2.5.2. Uses
2.5.3. Applications
2.5.4. Margin of Error
2.5.5. Advantages and Disadvantages

2.6. Blockchain and AI in Education to Transform Educational Administration and Certification

2.6.1. What is the Blockchain
2.6.2. Blockchain and its Applications
2.6.3. Blockchain as a Transformative Element
2.6.4. Educational Administration and Blockchain

2.7. Emerging AI Tools to Enhance the Learning Experience

2.7.1. Current Projects
2.7.2. Commissioning
2.7.3. What the Future Holds
2.7.4. Transforming the Aulas 360

2.8. Strategies for Developing Pilots with Emerging AI

2.8.1. Advantages and Disadvantages
2.8.2. Strategies to be Developed
2.8.3. Key Points
2.8.4. Pilot Projects

2.9. Analysis of Successful AI Innovation Cases

2.9.1. Innovative Projects
2.9.2. Application of AI and its Benefits
2.9.3. AI in the Classroom, Successful Cases

2.10. Future of AI in Education

2.10.1. AI History in Education
2.10.2. Where is AI going in the Classroom?
2.10.3. Future Projects

Module 3. Ethics and legislation of Artificial Intelligence in Education

3.1. Identification and Ethical Treatment of Sensitive Data in the Educational Context

3.1.1. Principles and Practices for the Ethical Handling of Sensitive Data in Education
3.1.2. Challenges in Protecting the Privacy and Confidentiality of Student Data
3.1.3. Strategies for Ensuring Transparency and Informed Consent in Data Collection

3.2. Social and Cultural Impact of AI in Education

3.2.1. Analysis of the Effect of AI on Social and Cultural Dynamics in Educational Environments
3.2.2. Exploration of how AI can Perpetuate or Mitigate Social Biases and Inequalities
3.2.3. Assessing the Social Responsibility of Developers and Educators in the implementation of AI

3.3. AI Legislation and Data Policy in Educational Settings

3.3.1. Review of Current Data and Privacy Laws and Regulations Applicable to AI in Education
3.3.2. Impact of Data Policies on Educational Practice and Technological Innovation
3.3.3. Development of Institutional Policies for the Ethical Use of AI in Education

3.4. Assessing the Ethical Impact of AI

3.4.1. Methods for Assessing the Ethical Implications of AI Applications in Education
3.4.2. Challenges in Measuring the Social and Ethical Impact of AI
3.4.3. Creating Ethical Frameworks to Guide the Development and Use of AI in Education

3.5. Challenges and Opportunities of AI in Education

3.5.1. Identification of Major Ethical and Legal Challenges in the Use of AI in Education
3.5.2. Exploration of Opportunities for Improving Teaching and Learning through AI
3.5.3. Balancing Technological Innovation and Ethical Considerations in Education

3.6. Ethical Application of AI Solutions in the Educational Environment

3.6.1. Principles for Ethical Design and Deployment of AI Solutions in Education
3.6.2. Case Studies on Ethical Applications of AI in Different Educational Contexts
3.6.3. Strategies for Involving All Stakeholders in Ethical AI Decision-Making

3.7. AI, Cultural Diversity and Gender Equity

3.7.1. Analysis of the Impact of AI on the Promotion of Cultural Diversity and Gender Equity in Education
3.7.2. Strategies for Developing Inclusive and Diversity-Sensitive AI Systems
3.7.3. Assessment of how AI can Influence the Representation and Treatment of Different Cultural and Gender Groups

3.8. Ethical Considerations for the use of AI Tools in Education

3.8.1. Ethical Guidelines for the Development and Use of AI Tools in the Classroom
3.8.2. Discussion on the Balance between Automation and Human Intervention in Education
3.8.3. Analysis of Cases where the use of AI in Education has Raised Significant Ethical Issues

3.9. Impact of AI on Educational Accessibility

3.9.1. Exploration of how AI can Enhance or Limit Accessibility in Education
3.9.2. Analysis of AI Solutions designed to Increase Inclusion and Access to Education for All
3.9.3. Ethical Challenges in Implementing AI Technologies to Improve Accessibility

3.10. Global Case Studies in AI and Education

3.10.1. Analysis of International Case Studies on the Use of AI in Education
3.10.2. Comparison of Ethical and Legal Approaches in Different Educational Cultural Contexts
3.10.3. Lessons Learned and Best Practices from Global Cases in AI and Education

You are looking at a flexible university program that is compatible with your most demanding daily responsibilities. Enroll now!”