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Master of Through practical assignments and generative technologies. Students EDUT550 AI-Enhanced Digital EDUT575 Human-Centered AI Doctor of
collaborative projects, students
will explore principles of instructional
and Pedagogical Theories
Literacies for Educators
Education in will learn to leverage technology design, create engaging and Credit Hours: 3 Credit Hours: 3 Philosophy
Educational to create dynamic, effective, and inclusive e-learning experiences, Prerequisite: EDUT510, EDUT530 Prerequisite: EDUT500
accessible learning environments.
and evaluate their effectiveness
Technologies and using learning analytics. Ethical and This course empowers educators This course explores the intersection (Ph.D.) in
societal considerations in technology
to navigate and implement AI in
of human-centered artificial
AI Core Courses adoption are also addressed to promoting digital literacy. Students intelligence (HCAI) and pedagogical Education
ensure equitable and sustainable
educational practices. will explore AI for content creation, theories, focusing on designing AI-
driven educational experiences that
data visualization, and fostering
PRE-CORE EDUT500 Artificial Intelligence critical thinking while addressing the prioritize human cognition, ethics,
*For students who lack prior in Education: Foundations and societal and ethical dimensions of AI accessibility, and inclusivity. Students EDUP601 Advanced Research
Methods in Education I
qualifications in Education Futures (Online) EDUT530 Learning Analytics in digital education. will critically examine constructivist,
related industries disciplines Credit Hours: 3 and Data-Driven Decision behaviorist, and connectivism Credit Hours: 3
Prerequisite: No pre-requisite Making learning frameworks in the context Prerequisite: -
of adaptive learning systems,
EDUC501(PC) Teaching This course examines foundational Credit Hours: 3 EDUT560 Ethics, Equity, and AI personalized learning environments, This course introduces doctoral
Foundations Managing and emerging aspects of AI in Prerequisite: EDUT520 Governance in Education and AI-augmented instruction. students to the foundational
Classrooms, Designing education, focusing on adaptive This course explores the role of Credit Hours: 3 The course also integrates ethical concepts of educational research,
Curricula, and Assessing learning systems, intelligent tutoring, learning analytics and data-driven Prerequisite: EDUT540, EDUT550 considerations, cognitive load theory, focusing on theoretical aspects of
Learning and AI-driven curriculum design. decision-making in improving and equity-driven AI adoption in qualitative, quantitative, and mixed-
Credit Hours: 3 credit Equivalent Students will evaluate ethical educational outcomes. Students This course explores the ethical, education. methods research methodologies.
equitable, and governance
Prerequisite: None implications, societal impacts, and will learn to collect, analyze, and dimensions of integrating AI in EDUT580 Thesis (Research) Students will explore the
the transformative potential of AI interpret data to inform teaching philosophical underpinnings of these
This course provides foundational technologies in shaping future practices, identify learning gaps, and education. Topics include responsible Credit Hours: 6 methods, ethical considerations, and
AI practices, equity in access and
knowledge and skills essential for educational landscapes. predict learner success. The course outcomes, governance frameworks, Prerequisite: All Prior Courses critical theoretical frameworks. The
effective teaching. It focuses on emphasizes ethical considerations, and ethical decision-making. course emphasizes understanding
classroom management strategies, accessibility, and the use of advanced Students will critically analyze the In this culminating course, students research paradigms and
curriculum design principles, and EDUT510 AI in Adaptive tools for data visualization and societal impact of AI technologies design and execute a capstone methodologies without practical
assessment methods to promote Instructional Design reporting. Students will engage in and design practical frameworks project addressing real-world software application, providing a
learning. Students will explore hands-on projects to apply data to promote ethical AI practices in educational challenges through AI robust theoretical foundation for
theories of learning, strategies for Credit Hours: 3 analytics to real-world educational educational settings. integration. Guided by advisors, advanced study.
fostering an inclusive classroom Prerequisite: EDUT500 challenges. students implement action research,
environment, and tools for evaluating This course will benefit from analyze results, and contribute
educational outcomes. Through This course explores the integration practical leadership case studies to advancements in AI-powered EDUP605 Curriculum and
of learning theories with AI-driven
interactive activities and case studies, EDUT540 Emerging Educational and policy-making frameworks for AI educational practices. Instructional Design
this course equips students with design principles to create adaptive Technologies and AI Trends implementation in education.
practical skills to create engaging and instructional strategies. Students Credit Hours: 3
structured learning experiences. will engineer intelligent learning (online) Prerequisite: No prerequisite
systems, investigate learner data Credit Hours: 3
EDUC502(PC) Educational for personalized learning, and EDUT570 AI for Accessibility and This course explores the practical
Technology Essentials Theory appraise the ethical considerations Prerequisite: EDUT500 Inclusion applications of educational
and Practice of deploying such systems in diverse This course explores emerging Credit Hours: 3 philosophy in designing and
Credit Hours: 3 credit Equivalent educational contexts. educational technologies and Prerequisite: No pre-requisite implementing effective teaching,
learning, and curriculum strategies.
Prerequisite: None EDUT520 Designing AI trends, emphasizing their This course focuses on leveraging AI Through inquiry-based learning
Technology-Enhanced Learning transformative potential in teaching, technologies to promote accessibility and real-world scenarios, students
This course introduces students to Environments learning, and administration. It
foundational concepts and tools in covers adaptive learning systems, AI and inclusion in education. Students will critically analyze educational
educational technology. It covers Credit Hours: 3 in administrative processes, ethical will explore assistive AI tools, theories, articulate personal teaching
Universal Design for Learning (UDL)
philosophies, and design innovative
the theoretical underpinnings of Prerequisite: No pre-requisite considerations, and speculative
technology integration in education, future trends. Students will critically principles, and strategies to address curricula that align with diverse
philosophical perspectives.
explores key digital tools for teaching This course focuses on designing analyze the integration of AI in diverse learner needs. Ethical
and learning, and examines the and implementing technology- education and design innovative considerations and future trends in
impact of technology on student enhanced learning environments solutions for contemporary accessible AI-driven solutions are
also emphasized.
that leverage cutting-edge tools and
engagement and outcomes. challenges.
platforms, including adaptive and
Abu Dhabi University | Postgraduate Catalog 2026 - 2027 Abu Dhabi University | Postgraduate Catalog 2026 - 2027