TECH provides you with a 100% online methodology, based on free access to content and personalization of learning’’

Augmented Reality and Virtual Reality have great potential to improve the quality of education by making learning more interactive, immersive and personalized. These technologies can increase students' motivation, while preparing them to face the challenges of the working landscape.

For example, future surgeons can practice procedures in a safe virtual environment before doing so on real patients. Along these lines, such technologies allow students to visualize abstract and difficult-to-understand concepts in a clearer way. An example would be 3D graphics of mathematical equations.

In this context, TECH has developed a groundbreaking study that will focus on innovations and emerging trends in AI for Education. Designed by a well-versed faculty, the syllabus will analyze various methods to foster interactive learning, promoting knowledge retention. Likewise, the syllabus will provide advanced tools to develop projects such as educational games.

On the other hand, the didactic materials will provide the keys to evaluate the impact of the academic plans through various measurement mechanisms. In addition, teachers will acquire an ethical awareness of the treatment of sensitive data in educational centers. They will also become aware of the impact of AI on cultural diversity and gender equity. It should be noted that the program includes real case studies, which will bring the professional closer to the reality of teaching assistance.

To reinforce these contents, the methodology of this program reinforces its innovative character. TECH offers a 100% online educational environment, tailored to the needs of professionals seeking to advance their careers. It also relies on the Relearning methodology, based on the repetition of key concepts to fix knowledge and facilitate learning. In this way, the combination of flexibility and a robust pedagogical approach makes it highly accessible.

You will be prepared to overcome any ethical challenges during the processing of sensitive data in the educational environment’’

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

Looking to quickly resolve your students' questions? Develop the most effective chatbots for student assistance thanks to this program’’

The program’s teaching staff includes professionals from the sector who contribute their work experience to this specializing 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 course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will perform the most ethical treatments to ensure the privacy of sensitive data in the educational context"

The Relearning system applied by TECH in its programs reduces the long hours of study so frequent in other teaching methods"

This Postgraduate diploma will address AI projects in the educational field, based on a theoretical-practical approach. In this way, the syllabus will cover concepts such as machine learning, neural networks and natural language processing. In addition, it will offer a range of technologies, such as augmented reality or predictive analytics. In this way, teachers will investigate the latest trends to integrate them into the classroom and improve the teaching experience. The materials will also delve into the application of ethical principles, data policies and current legislations to use Artificial Intelligence responsibly.

You will master emerging Artificial Intelligence technologies to optimize educational environments and foster interactive learning’’

Module 1. Development of Artificial Intelligence Projects in the Classroom

1.1. Planning and Design of AI Projects in Education with Algor 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 Developing Educational Projects: TensorFlow Playground
1.2.2. Tools for Educational Projects in History
1.2.3. Tools for Educational Projects in Mathematics; Wolfram Alpha
1.2.4. Tools for Educational Projects in English: Grammarly

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 AI Projects in Specific Subjects

1.4.1. Mathematics and AI: Thinkster Math
1.4.2. History and AI
1.4.3. Languages and AI: Deep L
1.4.4. Other Subjects: Watson Studio

1.5. Project 1: Developing Educational Projects Using Machine Learning with Khan Academy

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: Integrating Intelligent Agents into Educational Platforms with Knewton

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 with Qualtrics

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

1.10. Analysis and Continuous Improvement of AI in Education with Edmodo Insights

1.10.1. Current Projects
1.10.2. Commissioning
1.10.3. What the Future Holds
1.10.4. Transforming the Classroom 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: ClassDojo and Seesaw
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 with Wysdom AI and SnatchBot

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 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 with Squirrel AI Learning

2.7.1. Current Projects
2.7.2. Commissioning
2.7.3. What the Future Holds
2.7.4. Transforming the Classroom 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. Exploring How Microsoft AI for Accessibility 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. Developing Institutional Policies for the Ethical Use of AI in Education with AI Ethics Lab

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. Exploring Opportunities to Improve Teaching and Learning through Squirrel AI Learning
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 with Teachable Machine by Google
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 with Google Read Along
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

The teaching materials of this program, elaborated by these specialists, have contents that are completely applicable to your professional experiences”