CONVERSATIONS AND VISUALIZATIONS

EDPSYCH 575

Explores the theoretical foundations and practical use of learning analytics for instructional design. Preparation for professional practice with hands-on experience designing learning environments modeled to predict success and retention. Focuses on understanding the ways in which learning analytics can be used to develop experiences and environments that support strategic learning outcomes.

EDPSYCH 560

Presents introductory research procedures in the social sciences, including the exploration of theoretical foundations and practical use of basic tools and programs needed for quantitative and qualitative data analysis. Examines how different methodologies can complement or compete with the other, and showcases how pertinent quantitative and qualitative methods are applied in the field of learning analytics with particular emphasis on data about - and therefore issues in - learning environments such as classrooms, online courses, apprenticeships and internships, museum exhibits, after school programs, and other formal and informal educational contexts.

EDPSYCH 525

Application of data mining techniques to large educational datasets to gain important insights into how people learn. Examines the spectrum of prevalent learning analytics methods and applications, from institutional effectiveness, to classroom-level interventions, to standardized assessments, and beyond.

EDPSYCH 695

Introduces guest speakers who specialize in applying learning analytics in a variety of professional environments and to a variety of time-sensitive topics (spanning between the student-level within a classroom, institutional effectiveness at a university, educational technology development, national standardized assessments, and beyond). Engage in a comprehensive consulting project that pairs student teams with a learning organization of their choice to design and produce a consulting report to be presented to key stakeholders. Builds on knowledge and skills learned in prior courses and requires application of program concepts in authentic contexts.

EDPSYCH 360

Examines the practice of data science in educational contexts, examining how we draw meaning and make decisions on the basis of data related to students, teaching, formal education systems, and informal learning environments. Focuses on developing fundamental skills for actively working with and interpreting educational data related to students, teaching, formal education systems, and informational learning environments., including: transforming, combining, and effectively summarizing data; creating meaningful graphical representations of data; creating formal models based on data; and communicating findings from data analysis. Develop skills by writing computer code to create reproducible data analysis reports. After introducing foundational data science skills, work through a series of real-world case studies that provide an opportunity to practice, expand, and further refine the skills and to make connections to subject-matter knowledge in the context of education.