fixed and sliding goals in education?
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G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 20111
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
Fixed and Sliding Goals in Education?
A tiny example of a famous systems insight, applied to education
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 20112
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
Striving to Reach an Achievement Goal
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 20113
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
Striving to Reach an Achievement Goal
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 20114
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
Striving to Reach an Achievement Goal
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 20115
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
Striving to Reach an Achievement Goal
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 20116
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
Striving (But Falling a Bit Short)
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 20117
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
Where Does the Goal Come From?
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 20118
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
Where Does the Goal Come From?
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 20119
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
A Flexible Goal Can Slide
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 201110
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
Sliding Goals in Sophistication of School Texts?School Texts Have Gotten Simpler Over Time
• The most difficult readers were generally published before 1918. By modern standards, Professor McGuffy’s pre- and post-Civil War readers were very difficult.
• Average sentence length of 1963-91 books was shorter than that of 1945-1962 books.
• Mean length dropped from 20 to 14 words, “the equivalent of dropping one or two clauses from every sentence”
• Wording of schoolbooks after 1963 for 8th graders was as simple as that in books used by 5th graders before 1963
• Wording of 12th grade texts after 1963 was simpler than the wording of 7 th grade texts before 1963.
• Today’s mean sixth, seventh, and eighth grade readers are simpler than fifth grade readers were before World War II.
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 201111
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
Could Declining Sophistication of Texts Account for Declining SAT Verbal Scores?
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 201112
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
Sliding Goals in School Texts?
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 201113
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
A Formal Model to Fit to the Data
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 201114
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
Historical and Simulated SAT Verbal Scores
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 201115
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
The Endogenous Point of View
Causal forces (school texts?) are not exogenous but feed back upon themselves
“System as cause”
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 201116
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
The “X/N” Matrix
Striving for understanding and
leverage, but failing
Achieving understanding and
leverage
Accepting fate, Predicting, Preparing
Confused, Misguided, Misguiding
Exogenous EndogenousTrue (Predominant) State of Affairs
Exog
enou
sEn
doge
nous
Pred
omin
ant M
ode
of A
naly
sis
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 201117
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
School Texts Studies• Marilyn Jager Adams, Advancing our Students’ Language and
Literacy, The Challenge of Complex Texts, The American Educator 34, 4 (winter 2010-11)
• Hayes, Wolfer & Wolfe (1996), Schoolbook Simplification and Its Relation to the Decline in SAT-Verbal Scores, American Educational Research Journal 33 (2): 498-508.
• http://www.soc.cornell.edu/hayes-lexical-analysis/schoolbooks/Papers/HayesWolferAndWolf1996.pdf
G. P. RichardsonAAAS STEM Meeting, Nov 9-10, 201118
Rockefeller College of Public Affairs and PolicyRockefeller College of Public Affairs and PolicyUniversity at AlbanyUniversity at Albany
Optimal Parameters for SAT Fit• Maximum of simulations/optimizations found at:• Pressure to devote time and effort elsewhere = 7.99971• Time to act on gap = 17.2977• *Time to adjust goal = 37.935• Simulations = 25138• Optimizations = 107• Pass = 3• Payoff = -711.039• ---------------------------------• The final payoff is -711.039
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