The AI in Education Graduate Academic Certificate:

As artificial intelligence (AI) is increasingly integrated into all areas of technology, schools and universities are beginning to implement AI-powered tools for personalized learning, administrative efficiency, and academic research. Educators with a strong understanding of AI concepts, ethics and tools are needed to step into AI educational leadership roles. 

Building on the Master of Science degree in Learning Technologies concentration (Artificial Intelligence in Education), the 4-course graduate academic certificate (GAC) AI in Education equips professionals with the expertise to guide institutions in the responsible and effective implementation of AI. Courses provide hands-on experience with AI tools and ensure educators develop the critical thinking skills needed to assess AI’s role in their classrooms and institutions. 

A total of 12 hours, or 4 courses, is needed to complete the certificate:

Required Courses:
LTEC 5701 - Foundations of Artificial Intelligence in Education

Provides a comprehensive introduction to the principles and technologies behind generative AI and its applications in educational settings. Explore foundational concepts, including machine learning, neural networks, large language models, and prompt engineering. Emphasis is placed on how these technologies are used to create interactive and adaptive learning experiences. Through case studies, practical exercises, and prompt-engineering techniques, gain hands-on experience with generative AI tools for educational content creation, assessment, and personalized learning. 

LTEC 5702 - Evaluation of Generative AI Tools in Education

Investigates the transformative potential of Generative AI (GenAI) in educational contexts, emphasizing the analysis and evaluation of existing GenAI applications. Explores the theoretical frameworks that inform the use of GenAI in education, providing students with the tools to critically examine the efficacy, usability, and impact of various GenAI tools and platforms. Through a combination of lectures, case studies, and hands-on evaluations, explore how GenAI applications can enhance teaching and learning experiences and become better equipped to analyze and assess GenAI solutions in diverse educational settings to inform best practices and drive innovation. 

Prerequisite(s): LTEC 5701.

LTEC 5703 - Ethical and Social Impacts of AI in Education

Provides a comprehensive examination of the ethical and social implications of artificial intelligence in education. Students analyze the historical context, current challenges, and future trends related to AI technologies in educational settings. Through critical exploration and discussion, learners engage with ethical dilemmas, social impact, and cultural considerations inherent in AI applications such as adaptive learning systems, smart tutors, and personalized learning environments. Emphasizes the importance of a thoughtful, informed approach to AI integration in education, preparing students to navigate and influence the evolving landscape of AI technologies. 

Prerequisite(s): LTEC 5701.

LTEC 5704 - Generative AI Technologies for Learning and Performance
Explores the design, development, and implementation of Generative AI-powered chatbots to enhance learning and performance in educational settings.  Provides a comprehensive overview of the underlying technologies, including natural language processing (NLP) and machine learning, while focusing on practical applications for improving student engagement, personalized feedback, and instructional support. Through hands-on projects and case studies, gain experience in building effective chatbot systems that facilitate meaningful interactions and promote learner success. 

Prerequisite(s): LTEC 5702.