1. Developing HDFS Learning Goals
September 2017

2. 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

3. This month Identify desired results Determine acceptable evidence
Plan learning experiences

4. 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

5. 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)

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

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

8. 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.

9. Next Month Identify desired results Determine acceptable evidence
Plan learning experiences

10. Questions?

11. 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

12. 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.

13. 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