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IS THERE A ROBOT IN THIS CLASS?
THE MECHANIZATION OF STUDENT, TEACHER, AND TEXT IN THE WRITING
CLASSROOM
@JasonCKTham
DEFINITION
Automated essay scoring (AES) is the use of
specialized computer programs to assign grades to
essays written in an educational setting. It is a method
of educational assessment and an application of
natural language processing. Its objective is to classify
a large set of textual entities into a small number of
discrete categories, corresponding to the possible
grades – for example, the numbers 1 to 6. Therefore,
it can be considered a problem of statistical
classification.
Is There a Robot in This Class?: The Mechanization of Student, Teacher, and Text in the Writing Classroom
Is There a Robot in This Class?: The Mechanization of Student, Teacher, and Text in the Writing Classroom
The transferability of skills and
cost to how students perceive
writing…
THE APPEAL
“More information analysis than regurgitation… to
assess students’ writing and reasoning abilities.”
“Partially replacing human graders with computer
grading programs could help make those tests
cheaper, and get results back to students and
teachers faster.”
THE NEW “DEEP BLUE
VS. KASPAROV”
Is There a Robot in This Class?: The Mechanization of Student, Teacher, and Text in the Writing Classroom
“The results
demonstrated that
overall, automated
essay scoring was
capable of producing
scores similar to
human scores for
extended-response
writing items with
equal performance for
both source-based and
traditional writing genre.
6
9
States
Software
Is There a Robot in This Class?: The Mechanization of Student, Teacher, and Text in the Writing Classroom
Any student who can read can be
taught to score very highly on a
machine-graded test.
A DOUBLE-EDGED
SWORD
Is There a Robot in This Class?: The Mechanization of Student, Teacher, and Text in the Writing Classroom
Agreement with human ratings is not necessarily
the best or only measure of students’ writing
proficiency (or the evidence of proficiency in an
essay)…
The limitation of human scoring as a yardstick for
automated scoring is underscored by the human
ratings used for some of the tasks in this study, which
displayed strange statistical properties and in
some cases were in conflict with documented
adjudication procedures.
If you go to a business school or an engineering
school, they’re not looking for creative writers.
They’re looking for people who can communicate
ideas. And that’s what the technology is best at
evaluating.
Wait, what?
ON MECHANIZING
THE WRITING
CLASSROOM
Teach students to think rhetorically
about literacy and their writing.
Propel research on humanistic
pedagogy and AES programs
Advocate for the true purposes
of writing
CCCC Position Statement on Teaching, Learning,
and Assessing Writing in Digital Environment
Standards for the Assessment of Reading and Writing
(rev. ed., 2009)
Framework for Success in Postsecondary Writing
(2011)
Framework for 21st Century Curriculum and
Assessment (2008, 2013)
CONCLUSION
THANK YOU!
@JasonCKTham

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Is There a Robot in This Class?: The Mechanization of Student, Teacher, and Text in the Writing Classroom

  • 1. IS THERE A ROBOT IN THIS CLASS? THE MECHANIZATION OF STUDENT, TEACHER, AND TEXT IN THE WRITING CLASSROOM @JasonCKTham
  • 2. DEFINITION Automated essay scoring (AES) is the use of specialized computer programs to assign grades to essays written in an educational setting. It is a method of educational assessment and an application of natural language processing. Its objective is to classify a large set of textual entities into a small number of discrete categories, corresponding to the possible grades – for example, the numbers 1 to 6. Therefore, it can be considered a problem of statistical classification.
  • 5. The transferability of skills and cost to how students perceive writing…
  • 7. “More information analysis than regurgitation… to assess students’ writing and reasoning abilities.”
  • 8. “Partially replacing human graders with computer grading programs could help make those tests cheaper, and get results back to students and teachers faster.”
  • 9. THE NEW “DEEP BLUE VS. KASPAROV”
  • 11. “The results demonstrated that overall, automated essay scoring was capable of producing scores similar to human scores for extended-response writing items with equal performance for both source-based and traditional writing genre.
  • 14. Any student who can read can be taught to score very highly on a machine-graded test.
  • 17. Agreement with human ratings is not necessarily the best or only measure of students’ writing proficiency (or the evidence of proficiency in an essay)… The limitation of human scoring as a yardstick for automated scoring is underscored by the human ratings used for some of the tasks in this study, which displayed strange statistical properties and in some cases were in conflict with documented adjudication procedures.
  • 18. If you go to a business school or an engineering school, they’re not looking for creative writers. They’re looking for people who can communicate ideas. And that’s what the technology is best at evaluating.
  • 21. Teach students to think rhetorically about literacy and their writing.
  • 22. Propel research on humanistic pedagogy and AES programs
  • 23. Advocate for the true purposes of writing
  • 24. CCCC Position Statement on Teaching, Learning, and Assessing Writing in Digital Environment Standards for the Assessment of Reading and Writing (rev. ed., 2009) Framework for Success in Postsecondary Writing (2011) Framework for 21st Century Curriculum and Assessment (2008, 2013)