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Approaches to Assessing 
Student Learning 
Redesigned Shirley Allen 
Edu697 
Professor Keith Pressey 
October 6, 2014
Types of Models for measuring 
assessment 
1. Status models 
2. Improvement models 
3. Growth models 
4. Value-added models (Kowalski & Mahoney, 2008)
Status Models 
 take a performance snapshot of student proficiency 
at a particular point 
 uses data to improve teaching and learning 
 shows how on a yearly average, how students are 
preforming
Improvement Model 
 measure changes between defined groups of 
students 
 this uses data to improve teaching and learning is 
by comparing grade levels for prior years 
 Critics feels that such approaches have very 
limited utility
Growth Model 
 track the achievement progress of students’ 
performance change 
 uses data to improve teaching and learning is by 
showing the teacher growth in academic 
achievements within the school year 
 educators need at least two scores for each student 
so that they can measure and compare
Value-added model 
 isolate the specific effects of a particular school, 
program, or teacher on student academic progress 
 uses data to improve teaching and learning is by 
separating things like family life, peers and 
individual influences from a student’s school 
performance 
 shows the student’s growth by the school or 
teacher’s expectation
Theory/Reasoning 
 Teachers should focus on 
students' efforts and not 
on their abilities 
 Students fail, teachers 
should also give feedback 
about effort or strategies 
 Teachers should help 
students’ value effort. 
 Teachers should teach 
students to relish a 
challenge 
 Students succeed, teachers 
praise their 
efforts/strategies, not their 
intelligence 
 A key ingredient in creating 
mastery-oriented students 
 Sustained effort over time is 
the key to outstanding 
achievement 
 Transmit the joy of 
confronting a challenge and 
of struggling to find 
strategies that work
Theory/Reasoning Continues 
 Teachers can help 
students focus on and 
value learning 
 Having the right mind-set 
 Help students think 
about learning, not 
about proving how 
smart they are 
 Grades are important, but 
learning is more 
important 
 Mind-set will help 
students become more 
able over time 
 The effect of this, they 
focus on effort and 
strategies instead of 
worrying that they are 
incompetent when 
setbacks happens
References 
Kowalski, T., Lasley II, T. & Mahoney, J. (2008). 
Data driven decisions and school leadership: Best 
practices for school improvement. Boston: 
Pearson. 
Hopkins, G. (2004). How can Teachers Develop 
Students’ Motivation and Success? Retrieved on 
September 1, 2014, from, 
http://www.educationworld.com/a_issues/chat/cha 
t010.shtml.

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Assessing Student Learning Models

  • 1. Approaches to Assessing Student Learning Redesigned Shirley Allen Edu697 Professor Keith Pressey October 6, 2014
  • 2. Types of Models for measuring assessment 1. Status models 2. Improvement models 3. Growth models 4. Value-added models (Kowalski & Mahoney, 2008)
  • 3. Status Models  take a performance snapshot of student proficiency at a particular point  uses data to improve teaching and learning  shows how on a yearly average, how students are preforming
  • 4. Improvement Model  measure changes between defined groups of students  this uses data to improve teaching and learning is by comparing grade levels for prior years  Critics feels that such approaches have very limited utility
  • 5. Growth Model  track the achievement progress of students’ performance change  uses data to improve teaching and learning is by showing the teacher growth in academic achievements within the school year  educators need at least two scores for each student so that they can measure and compare
  • 6. Value-added model  isolate the specific effects of a particular school, program, or teacher on student academic progress  uses data to improve teaching and learning is by separating things like family life, peers and individual influences from a student’s school performance  shows the student’s growth by the school or teacher’s expectation
  • 7. Theory/Reasoning  Teachers should focus on students' efforts and not on their abilities  Students fail, teachers should also give feedback about effort or strategies  Teachers should help students’ value effort.  Teachers should teach students to relish a challenge  Students succeed, teachers praise their efforts/strategies, not their intelligence  A key ingredient in creating mastery-oriented students  Sustained effort over time is the key to outstanding achievement  Transmit the joy of confronting a challenge and of struggling to find strategies that work
  • 8. Theory/Reasoning Continues  Teachers can help students focus on and value learning  Having the right mind-set  Help students think about learning, not about proving how smart they are  Grades are important, but learning is more important  Mind-set will help students become more able over time  The effect of this, they focus on effort and strategies instead of worrying that they are incompetent when setbacks happens
  • 9. References Kowalski, T., Lasley II, T. & Mahoney, J. (2008). Data driven decisions and school leadership: Best practices for school improvement. Boston: Pearson. Hopkins, G. (2004). How can Teachers Develop Students’ Motivation and Success? Retrieved on September 1, 2014, from, http://www.educationworld.com/a_issues/chat/cha t010.shtml.

Editor's Notes

  1. Kowalski, T., Lasley II, T. & Mahoney, J. (2008). Data driven decisions and school leadership: Best practices for school improvement. Boston: Pearson.
  2. Kowalski, T., Lasley II, T. & Mahoney, J. (2008). Data driven decisions and school leadership: Best practices for school improvement. Boston: Pearson.
  3. Kowalski, T., Lasley II, T. & Mahoney, J. (2008). Data driven decisions and school leadership: Best practices for school improvement. Boston: Pearson.
  4. Kowalski, T., Lasley II, T. & Mahoney, J. (2008). Data driven decisions and school leadership: Best practices for school improvement. Boston: Pearson.
  5. Kowalski, T., Lasley II, T. & Mahoney, J. (2008). Data driven decisions and school leadership: Best practices for school improvement. Boston: Pearson.
  6. Hopkins, G. (2004). How can Teachers Develop Students’ Motivation and Success? Retrieved on September 1, 2014, from, http://www.educationworld.com/a_issues/chat/chat010.shtml.
  7. Hopkins, G. (2004). How can Teachers Develop Students’ Motivation and Success? Retrieved on September 1, 2014, from, http://www.educationworld.com/a_issues/chat/chat010.shtml.