ARI5555 - Artificial Intelligence for Educators

MQF Level

Duration and Credits

Semester 2

5 ECTS

Mode of Study

Part-Time Evening

AI is revolutionising education, offering new opportunities for personalised learning, data-driven decision-making, and innovative teaching strategies. This unit provides educators and education officers with a comprehensive understanding of AI鈥檚 role in transforming learning environments. Participants will explore key AI concepts, including machine learning, natural language processing, and adaptive learning technologies, while gaining hands-on experience with AI-driven tools designed for education. The unit examines the impact of AI on curriculum development, student assessment, and administrative efficiency, equipping educators with practical skills to enhance both teaching and institutional management. Beyond its applications, the unit delves into the ethical and legal dimensions of AI in education, addressing critical issues such as data privacy, algorithmic bias, and the responsible use of AI-powered technologies. Educators will learn to critically assess AI鈥檚 influence on pedagogy and ensure that its integration aligns with educational best practices. Additionally, the unit provides insights into how AI is shaping the future of education, preparing participants to adapt to emerging trends and innovations. Through a combination of theoretical knowledge, case studies, and hands-on projects, this unit empowers educators to become AI-literate leaders who can effectively integrate intelligent systems into teaching and learning. By the end of the program, participants will be equipped with the skills to harness AI鈥檚 potential while maintaining ethical standards, fostering student engagement, and driving educational innovation. Whether used to support personalised learning, automate administrative tasks, or enhance student outcomes, AI has become an essential tool for modern education, and this unit ensures that educators are prepared to navigate its evolving landscape with confidence and expertise.

Main Reading List

The AI classroom : the ultimate guide to artificial intelligence in education Daniel Fitzpatrick, 2023

Supplementary Reading List

The AI infused classroom : inspiring ideas to shift teaching and maximize meaningful learning in the world of AI Holly Clark, 2023
AI for Educators : learning strategies, teacher efficiencies, and a vision for an artificial intelligence future Matt Miller, 2023

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Study-unit Aims

The aim of this study-unit is to equip educators and education officers with the knowledge and skills to effectively integrate Artificial Intelligence (AI) into teaching, learning, and educational management. It provides a comprehensive understanding of AI鈥檚 applications in education, including personalised learning, data-driven decision-making, and curriculum enhancement, while also addressing ethical, legal, and pedagogical considerations. By blending theory with hands-on experience, the unit empowers participants to leverage AI responsibly, ensuring its effective and ethical use to enhance student engagement, streamline administrative tasks, and drive educational innovation.

Learning Outcomes: Knowledge and Understanding

By the end of the study-unit the student will be able to:

Explain the fundamental concepts of Artificial Intelligence (AI) and its role in modern education, including machine learning, natural language processing, and adaptive learning technologies.
Analyse the impact of AI on teaching, learning, and educational management, assessing its benefits, challenges, and potential implications for educators and students.
Understand the ethical, legal, and societal considerations of AI in education, including issues related to data privacy, algorithmic bias, and responsible AI use in schools and institutions.
Evaluate various AI-driven tools and technologies used in education, identifying their strengths, limitations, and appropriate applications in different learning environments.
Explore emerging trends and future developments in AI for education, preparing for advancements that may further shape teaching methodologies, student engagement, and institutional decision-making.

Learning Outcomes: Skills

By the end of the study-unit the student will be able to:

Critically assess and apply AI-driven tools in educational settings, selecting appropriate technologies to enhance teaching, learning, and administrative processes.
Analyze and interpret AI-generated data for informed decision-making, using insights from learning analytics to improve student engagement and educational outcomes.
Communicate complex AI concepts effectively to diverse audiences, including educators, students, policymakers, and stakeholders, fostering informed discussions on AI in education.
Develop problem-solving and adaptive thinking skills, enabling the effective integration of AI into various teaching methodologies while addressing challenges and limitations.
Demonstrate ethical reasoning and responsible AI use, ensuring compliance with legal regulations, data privacy standards, and fairness in AI applications within education.

Non EU Applicants:

EUR425

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