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CEILS Journal Club – Scientific Teaching Scholar: Philip B. Stark, UC Berkeley

November 2, 2018 @ 2:00 pm - 3:00 pm

CEILS Visiting Scientific Teaching Scholar: Professor Philip B. Stark

Professor of Statistics
Associate Dean of Mathematical and Physical Sciences
University of California, Berkeley

“Student Evaluations of Teaching: Managing Bias and Increasing Utility”

 

 

 

Here is a set of resources related to this event:

  1. Professor Stark’s slides from the talk: https://www.stat.berkeley.edu/~stark/Seminars/setUCLA18.htm#1
  2. UC Berkeley’s guide for “Documenting Teaching Effectiveness”: https://teaching.berkeley.edu/resources/documenting-teaching-effectiveness
  3. UC Berkeley’s guide to peer review of course instruction, including a Peer Review Form: https://teaching.berkeley.edu/peer-review-course-instruction
  4. The website that lets you see how frequently students use certain terms to describe faculty in various disciplines: http://benschmidt.org/profGender

 

Student evaluations of teaching (SET) are widely used in academic personnel decisions as a measure of teaching effectiveness. Observational evidence shows that student ratings vary with instructor gender, ethnicity, and attractiveness; with course rigor, mathematical content, and format; and with students’ grade expectations. Surveys show that students deliberately falsify ratings. Randomized experiments show that SET are negatively associated with objective measures of teaching effectiveness and biased against female instructors by an amount that can cause more effective instructors to get lower SET than less effective instructors: SET is more strongly associated with students’ grade expectations and instructor gender than with objective measures of learning. Gender bias affects how students rate even “objective” aspects of teaching, such as how promptly assignments are graded. It is not possible to adjust for the bias, because it depends on many factors, including course topic and student gender. Students are uniquely situated to observe some aspects of teaching and they can provide information that helps instructors improve pedagogy–but SET items need to be selected and interpreted cautiously. For the purposes of evaluating teaching quality–and even to determine whether particular things transpired (e.g., whether the instructor explained the grading policy)–SET are unreliable and subject to strategic manipulation by faculty and by students. Relying on SET for employment decisions disadvantages protected groups. Universities have started to reduce or eliminate using SET for employment decisions; recent litigation and arbitration have led to rulings that could influence more universities do the same.

Details

Date:
November 2, 2018
Time:
2:00 pm - 3:00 pm
Event Categories:
,

Organizer

CEILS
Website:
www.ceils.ucla.edu

Venue

Hershey Hall 158
801 Hilgard Ave
Los Angeles, CA 90095 United States
+ Google Map

Details

Date:
November 2, 2018
Time:
2:00 pm - 3:00 pm
Event Categories:
,

Organizer

CEILS
Website:
www.ceils.ucla.edu

Venue

Hershey Hall 158
801 Hilgard Ave
Los Angeles, CA 90095 United States
+ Google Map