Developing HDFS Learning Goals September 2017

Process Review HDFS programs across the country  Define department-level core competencies (i.e. learning goals) Define assessment and milestones for core competencies Identify strengths and weaknesses of current HDFS curricula Map courses and learning experiences to learning outcomes

This month Identify desired results Determine acceptable evidence Plan learning experiences

How will our Learning goals reflect our core values? Social justice Interdependence Multiculturalism and globalization Diversity and inclusion Collaboration and civility Recognition of multiple contexts of human development Interdisciplinary work

What does it mean to be aN HDFS scholar? Our learning goals should: Represent a “big idea” having enduring value beyond the classroom Reside at the heart of the discipline Offer potential for engaging students (and recruiting new students to the department)

Example structure: Purdue Students are expected to understand and apply: Theory Research Methods Intervention

Potential Domains Theory Methods Applied Translational Research Intervention Research Research Ethics Social Justice, Multiculturalism & Diversity and Inclusion Policy Professional Development Teaching Scientific Communication

Refining learning goals With your neighbors, review example learning goals. Indicate which learning goals you prefer. Refine text, as needed. Are there goals missing? If so, please add.

Next Month Identify desired results Determine acceptable evidence Plan learning experiences

Questions?

Purdue Students are expected to understand and apply: Theory basic tenets of influential developmental and family studies theories and emerging theoretical and conceptual frameworks (e.g., behavioral genetics and developmental neuroscience) theoretical and conceptual frameworks utilized in empirical developmental and family studies research processes and mechanisms that promote development and change the use of scientific methods to inform and advance theory

Purdue Research Methods univariate and multivariate data analytic techniques, including: correlation and regression (e.g., hierarchical multiple regression and logistic regression), factor analysis (e.g., exploratory, confirmatory) and ANOVA (e.g., repeated measures, MANOVA) up-to-date approaches for analyzing mediation, moderation and interdependence and for interpreting results of these analyses specific analytic techniques for answering specific types of research questions and for drawing appropriate inferences from results explain the strengths and limitations of measurement (e.g., reliability, validity) and research designs (e.g., correlational, experimental, quasi-experimental; cross- sectional vs. longitudinal), quantitative methods and related analysis strategies to the study of human development and family studies.

Purdue Intervention research designs for assessing intervention effectiveness critical elements in intervention research ethical and responsible conduct of intervention research (including attention to research with vulnerable populations) empirical and theoretical foundations of interventions (either existing or newly designed), including hypothesized mechanisms of change, and appropriate research for assessing effectiveness of a specific intervention