This course focuses on qualitative research theories, methods, and frameworks in the social sciences. Students design research studies, practice data collection and analysis, and evaluate how qualitative approaches address complex social issues. Emphasis is placed on applying critical thinking and ethical reasoning, interpreting real-world data, and communicating findings effectively through written and oral formats. Prerequisites: SSC 101

In this course, students will examine gender, sexuality, and intersectionality through key social science theories and frameworks. Students analyze how cultural, political, and economic structures shape gender roles and inequalities across diverse societies. The course also explores strategies for advancing equity, while emphasizing the influence of diversity and intersecting identities on lived experiences. Case studies and social science data provide opportunities to apply ethical reasoning and critical analysis to contemporary gender issues. Prerequisites: SSC 101.

In this course, students will explore how science and technology shape, and are shaped by, social, cultural, and economic forces. Students examine contemporary issues such as artificial intelligence, digital platforms, and emerging technologies through social science theories, case studies, and real-world data. There is an emphasis on ethical and cultural contexts, quantitative analysis of real-world data, and the application of AI tools for social science research. Prerequisites: SSC 101

In this course, doctoral students will explore the helping relationship in the context of performance psychology to enhance performance in self and others. The curriculum includes foundational topics like selecting theoretical orientations and identifying consulting fundamentals. Students will also explore relevant issues regarding ethics, supervision, and referral. Importantly, students will learn how to use consulting skills in a variety of performance domains.

This course explores organizational continuity and exercise design as part of the larger emergency management cycle. Students will examine the terminology, processes, and components associated with organizational continuity. Students will also gain experience with components of exercise planning and design as part of the continuous improvement process.

The MATLT Capstone course allows students to integrate the knowledge and skills gained throughout their program into a comprehensive, technology-driven project. Students will examine educational theory and research to design innovative teaching and learning experiences that effectively leverage technology. The course emphasizes evaluating the impact of technology on teaching and learning outcomes and applying best practices in educational technology. Through the development of a final project, students will demonstrate their ability to integrate theory, research, and technology to enhance educational practices and create meaningful learning experiences for diverse learners. 

This course is designed to help educators and administrators understand how artificial intelligence (AI) can improve school operations and student outcomes while addressing ethical considerations. Students will explore how AI can be used for tasks like scheduling, tracking student progress, and supporting teachers in their work. The course focuses on practical, real-world applications of AI that are easy to implement and manage, along with strategies for ensuring fairness, privacy, and transparency. Students will also learn how to build trust and collaboration with teachers, parents, and the school community when introducing AI-driven initiatives. Prerequisites: EDT 650

This course immerses students in the transformative use of artificial intelligence within the fields of education, teaching, and learning. Participants will examine how artificial intelligence can personalize instruction, automate assessment, support differentiated learning, and enhance educational content design. Through a human-centered lens, students will design solutions that address real classroom needs, emphasizing ethical responsibility, equity, and positive student outcomes. Prerequisites: EDT 650

This course introduces the core concepts of artificial intelligence (AI) in educational settings. This course explores the principles of AI and current applications in teaching, learning, and administration. Students will critically examine the benefits and challenges of AI integration while addressing ethical considerations such as bias, privacy, and responsible use. By the end of the course, learners will gain a foundational understanding of how AI can enhance educational practices and decision-making.

This course focuses on best practices for designing online courses that align with curriculum goals and meet diverse student needs. Students will learn how to structure courses, create clear learning objectives, and develop engaging content using instructional design principles tailored for virtual settings. Prerequisites: EDT 600