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Assessment
- 1. Assessment David Kniola, Ph.D. Assistant Director Office of Academic Assessment
- 4. Rising tension within and between Internal and External
- 5. Where might we be headed?
- 8. Transparency Framework National Institute for Learning Outcomes Assessment (NILOA) http://www.learningoutcomeassessment.org/TransparencyFrameworkIntro.htm
- 11. Analytics
- 16. Within the next 15 years
Editor's Notes
- In the year 2020….predicting the future after it happens.
- As you are watching this…think about a university. What if these technologies were available at a university? What if we could do these things with our data?
- Internal: (1) VP’s and the President’s commitment to assessment; (2) Deans’ perception of value in student learning outcomes; (3) linking assessment with budget and resource allocation decisions; and, (4) faculty’s willingness to participate in the assessment. How will budget reductions impact these? External: Expectations of students/parents, Fed, and accreditation agencies (professional and regional) with regard to student learning assessment will likely not lessen. Focus will move toward institutional assessment to improve graduation (i.e., retention) and demonstrate quality and value.
- Defining “excellence” and paths to excellence. Searching for ways to measure student learning.
- Idea of transparency…move towards being more public with results of our assessments.
- This is somewhat getting away from assessment…but it further shows the need to define learning in conjunction with figuring out ways to measure it.
- Leads us to analytics. We know these companies operate on empirical data not hunches. They are very sophisticated and can “predict” and guide behavior.
- Retention of our students will be critical without lowering standards of quality. Data can help us better understand the student experience.
- An ontology describes the concepts and relationships that are important in a particular domain, providing a vocabulary for that domain as well as a computerized specification of the meaning of terms used in the vocabulary.
- Students already sit in class and Google everything we say to make sure it is “correct” (according to Wikipedia).
- An interdisciplinary “meeting of the minds”: instructional design, learning technologies, brain science, education, psychology, computer science, systems engineering, OAA, CIDER, others…