IN5524 – Applications of Artificial Intelligence in Education (powered by GPT)

About

This course offers students the opportunity to explore how artificial intelligence can impact teaching, learning, and management in educational environments. The course covers the theoretical foundations of AI, its various applications in education, the design of AI solutions, and the ethical aspects involved. Through a semester-long project, implemented with Chat GPT, students develop an understanding of how AI can be applied ethically and effectively to improve educational processes and promote more personalized and efficient learning. The course includes the following specific (SC) and generic (GC) competencies:

• SC1: Identify, analyze, and diagnose the different elements of complex problems that arise in organizations, which are key to solving them.
• SC2: Conceive and design solutions that create value to solve problems of organizations, using knowledge from operations management, information and communication technologies, finance, economics, and marketing.
• SC3: Create business opportunities through entrepreneurship.
• GC6: Act responsibly and honestly, critically accounting for one’s own actions and their consequences, within the framework of respect for human dignity and the care of the social, cultural, and natural environment.

Course Content

1. Introduction to artificial intelligence in education:
   Definition of artificial intelligence.
   Importance of artificial intelligence in education.
   Evolution of artificial intelligence in education.
2. Theories and models of learning in higher education:
   Theories and models of learning in higher education, with a focus on engineering and science.
   Approaches to learning, self-efficacy, and self-regulation.
   Challenges of online and digital education.
3. Theoretical foundations of artificial intelligence:
   Theories and models of artificial intelligence.
   Machine learning and deep learning.
   Neural networks and learning algorithms.
4. Ethics and responsibility in the use of artificial intelligence in education:
   Biases and discrimination in AI.
   Privacy and data security.
   Social and legal responsibility in the implementation of AI solutions.
5. Applications of artificial intelligence in education:
   Personalized tutoring and recommender systems.
   Automated assessment and immediate feedback.
   Predictive models and educational data analysis.
   Virtual assistants and chatbots.
   Governance of AI in educational organizations.
6. Design and development of AI solutions in education:
   Selection of AI tools and techniques.
   Design of algorithms and machine learning models.
   Implementation and evaluation of AI solutions.