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Effective Evaluation Of Teaching And
LearningSTEPHEN BRADFORTH
ADAM LEIBOVICHWILL DICHTELTOBY SMITH
ANDREW FEIGJIM MARTIN
FUNDED BY RCSA AS PART OF THE COTRELL SCHOLARS COLLABORATIVE
Effective Evaluation of Teaching and Learning (EETL) - Searching for New Approaches to R1 STEM Teaching Evaluation
Premise: student evaluation is not an effective way to promote excellent teaching
Seek: new but easily implementable metrics need to be identified (menu of choices appropriate to different institutions)
Strategy: Align with AAU Undergraduate STEM Education Initiative
Output: workshop, white paper
Project funded: Aug. 20122 year scope
Project Progress Conference call to establish detailed
work plan and milestones
Involvement of AAU fellow, Kristen Hodge
Each investigator made contact with leaders in area of Teaching Evaluation
Meetings with campus organizations such as Centers for Excellence in Teaching, Education Faculty, Administrators responsible for current evaluation
Creation of a primer on previous projects
1.75 day meeting of investigators in Washington, DC in early November
Consultants
Diane O’Dowd (HHMI Professors Group)
James Fairweather
Linda Slakey
Noah Finkelstein
Charles Henderson
Jay Labov
Matthew Hora
Robert Mathieu
Gisele Ragusa
Project Progress
DC meeting established:
Narrowed down list of effective approaches that project would like to learn more about
Detailed survey prepared addressed at CS Scholars, CCSA awardees and department chairs
Timeline for workshop, grant applications, paper submission: possible locations, dates, grid of invitees and promotion
Project Progress
December-January:
Finalization of Survey
Institution Review Board submission for authorization of survey (future use for publication requires human-subject approval)
Survey sent out mid-January
Collection and analysis of results
Survey
Asked about:
Current Methods Used to Gauge Teaching Effectiveness, under evaluation of student learning and Faculty teaching effectiveness and Academic Program Effectiveness
Perception of Desirability of Several Best Practices for Assessment of Teaching Effectiveness
Data can be examined by discipline, faculty rank and institution type, and size of academic program.
Response rate (1 week out)
Chairs (124 surveyed): 30%
CCSA (776 surveyed): 16%
CS (243 surveyed): 6% response
TOTAL RESPONSES: 215
Current Practice: student learning assessments used
4: Used Always3: Used Often2: Used Sometimes1: Used Rarely0: Never Used
Current Practice: student learning assessments used
4: Used Always3: Used Often2: Used Sometimes1: Used Rarely0: Never Used
Current Practice: methodologies to evaluate faculty teaching
4: Used Always3: Used Often2: Used Sometimes1: Used Rarely0: Never Used
Current Practice: methodologies to evaluate faculty teaching
4: Used Always3: Used Often2: Used Sometimes1: Used Rarely0: Never Used
Current Practice: assessing majors program for student learning
4: Used Always3: Used Often2: Used Sometimes1: Used Rarely0: Never Used
Current Practice: assessing majors program for student learning
4: Used Always3: Used Often2: Used Sometimes1: Used Rarely0: Never Used
Tracking Alumni Job Placement
s
Relative Survey Response
… but is performed infrequently!
What methodologies are used to determine the effectiveness of the overall curriculum and the student learning outcomes from the curriculum?
EETL project
Connections with
AAU initiative
CS Collaborative Think and Do Tank
HHMI Professor initiative
Next steps
Add investigator from Physics (as defined by survey responses or our wish-list
Follow up survey participants who have particular interesting suggestions
Submit proposal to NSF-DUE for additional workshop funding to expand reach
Finalize workshop, issue invites
Complete white paper after workshop