The metrification of teaching: student evaluation of teaching in the United States, Germany and Colombia

2021 ◽  
pp. 1-21
Author(s):  
Pedro Pineda ◽  
Tim Seidenschnur
2019 ◽  
Vol 15 (2) ◽  
pp. 77
Author(s):  
Bassey Ubong ◽  
Mercy O. Okpor

In some institutions of higher learning, one of the approaches to successful governance is through student assessment of teachers, dubbed Student Assessment of Faculty or Student Evaluation of Teaching and extensively used in the United States of America (USA). In schools and colleges, the usual largest bloc and primary stakeholders are the students. Students should therefore assess teachers for the purpose of improving the system for all stakeholders including themselves. Teaching is a service in a marketing framework and where it is offered, the buyer is in the best position to assess the offering for better performance. This paper advocates for student assessment of their teachers at the end of each teaching cycle and suggests a basket of approaches to reduce the dissonance that accompanies the exercise where applied. A template is suggested in the paper.


Author(s):  
Bob Uttl

AbstractIn higher education, anonymous student evaluation of teaching (SET) ratings are used to measure faculty’s teaching effectiveness and to make high-stakes decisions about hiring, firing, promotion, merit pay, and teaching awards. SET have many desirable properties: SET are quick and cheap to collect, SET means and standard deviations give aura of precision and scientific validity, and SET provide tangible seemingly objective numbers for both high-stake decisions and public accountability purposes. Unfortunately, SET as a measure of teaching effectiveness are fatally flawed. First, experts cannot agree what effective teaching is. They only agree that effective teaching ought to result in learning. Second, SET do not measure faculty’s teaching effectiveness as students do not learn more from more highly rated professors. Third, SET depend on many teaching effectiveness irrelevant factors (TEIFs) not attributable to the professor (e.g., students’ intelligence, students’ prior knowledge, class size, subject). Fourth, SET are influenced by student preference factors (SPFs) whose consideration violates human rights legislation (e.g., ethnicity, accent). Fifth, SET are easily manipulated by chocolates, course easiness, and other incentives. However, student ratings of professors can be used for very limited purposes such as formative feedback and raising alarm about ineffective teaching practices.


2013 ◽  
Vol 83 (4) ◽  
pp. 598-642 ◽  
Author(s):  
Pieter Spooren ◽  
Bert Brockx ◽  
Dimitri Mortelmans

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