教 育 科 學 期 刊 - web.nchu.edu.twweb.nchu.edu.tw/pweb/users/wtsay/research/12229.pdf ·...
Transcript of 教 育 科 學 期 刊 - web.nchu.edu.twweb.nchu.edu.tw/pweb/users/wtsay/research/12229.pdf ·...
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2006(Organization for Economic Cooperation and Development OECD)(Programme for International Student Assessment PISA) 2000 2006 57 1 16 OECD PISA 2009 150 4500 10000 2010 12 7 2009 65 5 6 20 2006 2009 2010 PISA
PISA2006 PISA2009
496 16 495 23
549 1 543 5
532 4 520 12
(OCED)
PISA
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2012 6 23
/2007
Gorges & Kandler, 2012
() ()
() ()
2-1
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2-2
2-3 () ()
()
1. Aiken1970 2. Garfield1977 Garfield (1)(2)(3)(4)(5)
3. 1991(1)
(2)(3)(4)A.B.C.
4. 1992
5. 1994(1)(2)(3)
6. 2003
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7. 2005
()
1. Aiken1976(1)
(2)(3)
(4)(5)
2. Suydam1984
3. Cunningham2004
() 1.
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30
(1) 1983 Fennema-Sherman
(2) 2003
(3) 2006 (4) 2007
(5) 2008
2.
1992
(1) 1988
(2) 1997
(3) 2006
(4) 2007
(5) 2008
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3. (1) 2002
(2) 2008
6~20
()
1995
2003
1997
1986 Coleman1988
()
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1. Cawley1984 2. 1993
3. 2003
4. 20072006
5. Asante2012
()
2000
1. 1995 23 677
10
(1)
(2)(3)(4)(5)(6)
10 8
2. 1997(1)
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(2) 20%
3. 2001 600 80.5%
4. 2001
5. 2003
2003 2003
180 140 110 76.8
2003 300
180 140 110 76.8
2003 6. 2003
7. 2003
8. 2006
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1.
2.
9. 2007
30~40
21 593 593 76 517 87.18
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A 13 16 10 16 22 11 88
B 15 8 14 18 9 20 84
C 10 10 14 11 10 11 66
D 14 16 16 15 9 17 88
E 17 15 13 12 13 21 91
F 13 16 13 16 11 16 85
G 14 18 14 14 13 18 91
96 99 94 102 87 114 593
2010
Likert
12345 5 4
24
20
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peer validity
10
6
6
2010 51
Cronbachs .831 48 66 SPSS Cronbachs .896
SPSS 14.0
()
() t independent t-test
() One-way ANOVA
Scheff Scheff post-hoc comparison
() Pearsons product-moment correlation
593
593 100%
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517 87.18
()
50.7262 49.3255 11
262 50.7
255 49.3
517 100.0
()
172 33.3
170 32.9
175 33.8
517 100.0
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80.3415
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415 80.3
79 15.3
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7 1.4
517 100.0
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84.5437
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178 34.4
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517 100.0
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2003
65.2337
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45 8.7
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202 39.1
517 100.0
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()
0~0.50.5~177.7402
0~0.5 270 52.2
0.5~1 132 25.5
1~1.5 63 12.2
1.5~2 30 5.8
2 22 4.3
517 100.0
()
74.3384
0 384 74.3
1~3 90 17.4
4~6 35 6.8
7~10 8 1.5
517 100.0
48 Likert 5
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1.
16.10% 17.60% 35.40% 25.50% 5.40%
2.
10.40% 24.80% 16.40% 30.20% 18.20%
3.
7.20% 11.20% 39.50% 29.20% 13.00%
4.
16.20% 26.50% 32.30% 17.40% 7.50%
5.
18.80% 31.90% 32.50% 11.60% 5.20%
6.
26.30% 32.10% 22.20% 12.60% 6.80%
7.
13.30% 21.30% 40.80% 18.40% 6.20%
8.
12.00% 18.00% 33.50% 23.20% 13.30%
9.
18.60% 30.40% 26.90% 16.10% 8.10%
10.
8.30% 7.40% 21.90% 37.90% 24.60%
11. 22.40% 29.00% 31.50% 12.20% 4.80%
12.
11.80% 19.70% 36.90% 19.90% 11.60%
13.
4.80% 5.40% 21.10% 36.20% 32.50%
14.
7.20% 10.40% 26.70% 36.00% 19.70%
15.
17.20% 30.80% 30.40% 14.10% 7.50%
()
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16.
6.20% 16.20% 34.80% 29.00% 13.70%
17.
6.60% 15.70% 41.40% 23.20% 13.20%
18.
7.40% 14.10% 29.20% 34.40% 14.90%
19.
19.10% 30.90% 30.20% 12.40% 7.40%
20.
6.40% 12.40% 30.40% 33.10% 17.80%
21.
7.00% 11.80% 31.10% 33.10% 17.00%
22.
12.60% 13.00% 32.90% 27.10% 14.50%
23.
3.90% 5.40% 23.00% 43.50% 24.20%
24.
19.30% 21.90% 21.90% 19.10% 17.80%
25.
4.80% 5.60% 26.90% 30.40% 32.30%
26.
28.00% 28.20% 30.00% 6.80% 7.00%
1.
33.80% 28.80% 23.60% 9.70% 4.10%
2.
16.80% 22.80% 38.30% 15.90% 6.20%
3.
18.20% 27.10% 39.30% 10.80% 4.60%
4.
14.10% 22.80% 35.80% 18.80% 8.50%
1.
21.70% 34.00% 27.70% 10.30% 6.40%
()
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2.
7.50% 10.30% 30.00% 36.20% 16.10%
3.
7.00% 11.40% 32.70% 29.80% 19.10%
4.
6.20% 9.70% 37.70% 31.10% 15.30%
5.
13.90% 19.90% 39.30% 15.90% 11.00%
6.
5.40% 11.40% 41.20% 31.70% 10.30%
7.
4.40% 5.20% 33.10% 41.40% 15.90%
8.
27.90% 41.40% 23.80% 3.70% 3.30%
9.
12.00% 16.20% 41.00% 19.30% 11.40%
10.
10.80% 22.60% 51.30% 10.80% 4.40%
11.
25.60% 37.50% 23.80% 9.70% 3.90%
12.
5.20% 5.80% 33.30% 37.10% 18.60%
13.
8.90% 13.00% 49.90% 19.00% 9.30%
14.
4.80% 9.70% 48.90% 26.10% 10.40%
15.
7.00% 12.80% 48.70% 21.30% 10.30%
16.
35.00% 31.10% 22.80% 7.20% 3.90%
17.
15.30% 28.60% 27.10% 18.20% 10.80%
18.
10.30% 11.40% 34.40% 22.80% 21.10%
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()
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tANOVA ()
t t t p
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5 7 5 4 55-52
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ANOVA F p
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3.31 .54 517
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http://www.fdc.gov.tw/dp.asp?mp=1 1997
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http://www.lihpao.com/?action-viewnews-itemid-64731 1988
19925619-688
Aiken, L. R. Jr. (1970). Attitude toward mathematics. Review of Educational
Research, 40(4), 551-596. Asante, K. O. (2012). Secondary students attitudes towards mathematics. Ife
Psychologia, Retrieved from: http://www.readperiodicals.com/201203/2613272641.html
Baron, R. A., & Byme, D. (2003). Social psychology. Boston, MA: Allyn and Bacon. Cawley, J. F. (1984). Developmental teaching of mathematics for the learning
disabled. Rockville, MD: Aspen Systems. Coleman, J. S. (1988). Equality of educational opportunity. Salem, N. H.: Ayer. Cunningham, R. F. (2004). Problem posing: An opportunity for increasing student
responsibility. Mathematics and Computer Education, 38, 83-89. Garfield, J. B. (1977). An investigation of junior high school students attitudes
toward components of Mathematics. (Unpublished masters thesis). State University of Minnesota.
Gorges, J., & Kandler, C. (2012). Adults' learning motivation: Expectancy of success, value, and the role of affective memories. Learning & Individual Differences, 22 (5), 610-617.
Suydam, M. N. (1984). Attitude toward mathematics. Arithmetic Teacher, 12, 56-59.
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2003
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A Study on Mathematic Learning Attitude and Relating Factors of the Junior High School Students at Distant Areas in Changhua
County
Yi-Ru Wu Changhua County Yuan-Dou Junior High School
Teacher
Wenrong Tsay Graduate Institute of Professional Development for Educators, National Chung
Hsing University Associate Professor
Lin-Tsang Lee Department of Applied Mathematics, National Chung Hsing University
Professor
Abstract The purpose of this study was to investigate the conditions of mathematical
learning of junior high students among the distant schools in Chang-Hua County. Mathematical learning attitudes interrelationship with background factor, family support, and learning environment became research concerns. 517 valid samples answered the questionnaire. Several statistical procedures were employed in data analyses, including descriptive statistics, independent sample t-test, One-way ANOVA, Pearsons product moment correlation. The findings are as follows. 1. Junior high students in distant schools rarely review mathematic contents. 2. Parents in distant schools rarely care their childrens mathematical learning. 3. Junior high students in distant schools have a positive acknowledgement of
mathematical learning environment of their schools. 4. Different background variables produce significant difference in students
mathematical learning attitude. In other words, (1) Gender has no significant difference on mathematical learning attitude. (2) Mid-SES students have a significant different attitude in mathematical learning
comparing to those low-SES students. (3) Students with cram-school assistance outperform those without in mathematical
learning attitude. 5. The higher the family support and mathematical learning environment, the better
the mathematical learning attitude junior high students have Finally, based upon the findings, several suggestions are provided to teachers,
parents, and further research.
Keywords: Distant Junior High School, Mathematical Learning Attitude, Family Social Economical Status, Family Support, Mathematical Learning Environment.