91100 91 100 46 108 31
The Reading Tasks on Chinese Modern Essays of College Entrance Examination2002-2011 Shih-Hung You National Taiwan University of Science and Technology Abstract This project consists two parts. The first part analyzed the structures of reading tasks on Chinese modern essays on the General Scholastic Ability Test, the Department Required Test, and the four-year TVE (The Technological and Vocational Education) college entrance examinations, including 46 texts and 108 items. The second part analyzed examineesperformances on different reading texts and aspects of reading. Keywords: Reading Assessment, Chinese Test Items, The General Scholastic Ability Test, The Department Required Test, The Four-Year TVE (The Technological and Vocational Education) College Entrance Examination Shih-Hung You, Associate Professor, Department of Humanities and Social Science, National Taiwan University of Science and Technology 32
93 101 98101 2010 PISA 2006 PIRLS 2006 1 PISA 2006 57 16 PIRLS 2006 45 222009 PISA 2009 68 23 1 4 2010 2 1 PISA Organisation for Economic Cooperation and Development, OECD The Programme for International Student Assessment 15 PIRLS International Association for the Evaluation of Educational Achievement, IEA Progress in International Reading Literacy Study9 10 2 2010 12 19 PISA PISA 33
reading comprehension test stimulus multiple-choice test item2008194 2011 3 91 100 91 90 83 90 99 3 34
93 (A) (B) (C) (D) (A) (B) (C) (D) 35
99 91 98 97 (A) (B) (C) (D) (A) (B) (C) (D) 36
(A)(B) (C) (D) 94 (A)(B) (C)(D) 96 2011 PISA PISA 97 37
93 1 91 100 93 221 46 108 11 12 1 11 22 7 16 28 70 46 108 10 21 13 28 24 64 47 113 21 43 20 44 52 134 93 221 2 91 100 28.2% 18.7%17.6% 99 100 3 6 2 38
50 14% 38%99 100 38 18 6 3 47.4% 2 2 091 0 0 0 24 0 8 8 24 3 4 7 50 092 0 5 5 23 2 4 6 29 2 6 8 50 093 2 4 6 22 6 2 8 29 7 3 10 50 094 4 2 6 23 0 4 4 24 6 5 11 50 095 0 0 0 23 0 0 0 24 4 9 13 50 096 2 2 4 23 0 0 0 24 9 5 14 50 097 2 2 4 23 2 2 4 24 7 9 16 50 098 4 2 6 23 0 2 2 24 11 8 19 50 099 4 2 6 23 4 2 6 24 12 6 18 38 100 4 2 6 23 2 4 6 24 9 9 18 38 22 21 43 230 16 28 44 250 70 64 134 476 39
46 108 http://www.ceec.edu.tw 91 100 46 46 PIRLS 2006 NAEP 4 2006 PIRLS PIRLS PISA 2008 4 National Assessment of Educational Progress, NAEP 4 8 12 40
2011 PIRLS 46 PISA 2010 continuous text non-continuous text mixed text multiple text 46 F.B. 2000314 41
PISA PISA 1 abcde PISA 2008 2010 a. b. c. d. e. 1 PISA PIRLS 2006 PISA PIRLS PISAPIRLS PISA PIRLS PISA NAEP 2006 PISAPIRLS NAEP 200682 42
5 NAEP PISA PIRLS PISAPIRLS NAEP 2001 PISA NAEP 91 100 PISNAEP 5 Wolfgang Iser 101-104 43
A (A)(B) (C)(D) 93 Go, Go, Go (A) (B) (C) (D) 98 44
(A)(B) (C) (D) 99 Alison BenjaminBrian McCallum B 1980 (A) (B) (C) (D) 98 Melinda Wenner 45
(A) (C) (B) (D) 98 (A) (B) (C) (D)92 (A) (B) (C) (D)91 C 46
6 hermeneutic circle1 2 3 7 92 (A) (B) (C) (D) 6 bottom-up model top-down model interactive model 2011 15-17 7 1990 ) 33-37 47
96 (A)(B) (C)(D) 49%B 93 32 X X D ABC PISA 48
Bloom 8 PISA2009 PISA 201176 9 Bloom 10 (A) (B) (C) (D) 97 (A) (B) (C) (D) 100 8 evaluatechecking critiquing 105 2003 1 9 PISA2009 (A)(B)(C) (D) 10 analyze differentiatingrganizingattributing 49
93 (A) (B) (C) (D) 2 E PISA NAEP 50
2 91 (A) (B) (C) (D) (A)(B)(C)(D) 93 51
(A) (B) (C)(D) 100 3 91 100 46 52
PISA 85% 11 46 96 38-40 Rita Carter 98 19-20 99 14-15 99 24-26 Alfred W. Crosby 12 46 3 9 6 24 39 0 0 0 0 1 0 3 4 1 1 1 3 4 91 100 46 11 93 15-17 97 14-15 97 25-26 12 99 99 53
28 62 18 46 64 7 6 11 8 14 93 4 8 16 6 13 14 33 28 62 3 6 1 3 14 37 18 46 11 22 7 16 28 70 46 108 5 91 100 108 49.07% 24.07%14.81% 7.41%4.63% 88% 54
22 63.6% 16 50% 22 31.8% 16 25% 70 44.3% 70 21.4% 6 62.9% 16.13% 11.29% 3.23% 2.17% 30.43%34.78% 30.43% 5 108 0 1 15 16 14.81% 7 4 15 26 24.07% 14 8 31 53 49.07% 0 3 5 8 7.41% 1 0 4 5 4.63% 55
6 2 3.23% 14 30.43% 10 16.13% 16 34.78% 39 62.90% 14 30.43% 7 11.29% 1 2.17% 4 6.45% 1 2.17% 7 8 4 14 7 0 0.00% 1 7.69% 1 3.03% 4 25.00% 2 15.38% 4 12.12% 11 68.75% 7 53.85% 21 63.64% 0 0.00% 3 23.08% 4 12.12% 1 6.25% 0 0.00% 3 9.09% 56
8 0 0.00% 0 0.00% 14 37.84% 3 50.00% 2 66.67% 11 29.73% 3 50.00% 1 33.33% 10 27.03% 0 0.00% 0 0.00% 1 2.70% 0 0.00% 0 0.00% 1 2.70% P P 91 100 108 91 P 9 10 107 9 0.700.74 57
9 16 0.74 13 0.77 32 0.66 61 0.70 6 0.84 3 0.90 37 0.71 46 0.74 32 61 10 91 100 107 0.68 0.64 0.78 0.73 0.71 0.86 0.72 0.70 0.80 0.79 0.64 58
10 16 0.78 26 0.73 52 0.71 8 0.68 5 0.64 52 91 100 P 107 P0.50 11 11 11 9 7 11 9 1 11 94 15 0.40 100 13 0.38 93 36 0.42 93 37 0.44 94 33 0.47 96 28 0.39 96 34 0.43 96 35 0.43 98 22 0.42 99 32 0.47 100 27 0.40 59
91 100 D R DR 22 7 D 0.510.33 5 2 16 5 D 0.450.31 70 21 R 0.590.44 11 10 4 76% 47% 11 91 100 46 108 60
1 PISA 85% 91% 4 2 46 28 62 18 46 3 3 4 3 61
4 188% 7.4% 6.3% 2 5 49.07% 24.07% 3 6 7 11.29% 2.17% 62.9% 16.13%3.23% 62
5 6 63
7 1 8 0.700.74 2 9 64
8 9 65
2000368 66
97 (A) (B) (C) (D) 90% 50% 50% 13 13 99 100 101 67
45% 40% 14 14 98 99 100 68
2006NAEP 13-9 20112011 2012 2 29 http://gaokao.eol.cn/gkdg_6255/20110307/t20110307_584907.shtm 20102012 2 29 http://reading.cw.com.tw/doc/page.jspx?id=40288ab22ce7bf65012cf32837a3000b 2001 39-12 2010 34162-66 2011 2006 NAEP 2005 375-96 1990 20095482-98 2006PIRLS123-9 2000 2003 10594-106 2010 1253-59 PISA 2011 PISA 2009 2008PISA 10632-35 20117 2115-152 1997 69