• 검색 결과가 없습니다.

A Study on the Effect of the New Teaching Strategy Facilitating Reflective Thinking in the Learningof the Particulate Nature of Matter       

N/A
N/A
Protected

Academic year: 2021

Share "A Study on the Effect of the New Teaching Strategy Facilitating Reflective Thinking in the Learningof the Particulate Nature of Matter        "

Copied!
11
0
0

로드 중.... (전체 텍스트 보기)

전체 글

(1)

Printed in the Republic of Korea

     

   

−  −

  

 

(2000. 2. 14  )

A Study on the Effect of the New Teaching Strategy Facilitating Reflective Thinking in the Learning

of the Particulate Nature of Matter

Do Wook Kim

Department of Science Education, Kongju National University of Education, Kongju 314-711, Korea

Received February 14, 2000)

 .        !, " #$ % & '

()*+ , -./  -./01 #$23 4 516   01 7 8 9:; <=2>    :? @A. :?B 78 9:; <=2>    CD EF9; G01 HIJ K, 78 9:; <=2>    L

;     F  @A.     01 1) 

 M- N2O PQ % R  , 2)  'S T UVW XY  ' 9 Z  [\] ^_, 3)  `] 'J K a , -./  -./01 #$2>

% R  P Fb] cd ^_, 4) -. 'S T  Ge01 ' f1 -. J 9:

g  Ge Jhi 4i jG Ge01 /2>% R   D] 4A.   G e    78 9:; <=2> jG Ge    L; FJ N

 jG Ge   ] k)]lmn, opmn,  -./ q8ra, Ysmn  t L u01 vwxA. N1yz { 4   |}J 29_ jG Ge

   ~]   Ge(M€M Ge)  ‚Jhi 9:  u] ƒ„…,  

 †2‡ 'J  jG Ge /2O 9:S 4aˆ l ‰A u]A.

ABSTRACT. The purpose of this study was to design the new teaching strategy based on the particulate model facilitating the reflective thinking (RE-PM) in the learning of the particulate nature of matter, and to investigate the effect of the new teaching strategy in compare with the traditional teaching strategy (TS-PM) after treating with new teaching strategy on preliminary teachers of elementary school. The problems of traditional teaching strategy are as follows: 1) Most of students didn't think the particulate model connected with practical material.

2) Most of students have a tendency of the rote memory on learning of the traditional particulate model. 3) The ratio of changing the view of continuous matter into the view of particulate nature of matter was very low, after learning the particulate model using of the traditional teaching strategy. The new teaching strategy facilitating the reflective thinking was more effective on the understanding of particulate nature of matter and the driving of moti- vation than the traditional teaching strategy in the learning of the particulate nature of matter.

(2)

 

   

$  /'    _ cd |}

A. $   AŠ: 4 $ k), ‹, ]Œ y_ dŽg M1 [€S 4:,  01 /S 4 ‘2 ’+  M€]v /

l {i= M€N 01 “ /S

` p2’+  ”, , ]•, – —_

 J $ ˜™01 š› : 4A. E;

n $  œZ | ‘Y*  6Œ’_ Y*

-.] ‘2’+  ž! !Ÿ g% ™G]v M

€N(E: Y* y – •a 9] /+, Y*

y – ¡¢ /+ D); p2’+  J

$ ˜™01 š›J ]Œ01,  £

¢ l 8B u]A. $  œZ y

] ]ŸJ œZ]Y T P | G¤  ¥

ŸJ š› " ]l % R  [\] 4i $

i¦§ : ¨p`i  [\] 4A.1

p2’+  AŠi% _ M ‘2 ’ +  AŠi% u Fl žn cd ©:, U ª žA: “ [€ : /S `Y T , « _ P] p2’+ J $ ˜™ M

¬¨  ™G 9] /+; ]l % R  [\]

40­, ]ŸJ /+; ]l % R  [d y

P_ $ %® 'S T ”Ž; ]l YžA

 UVW Y+01 XY ¯ BA.

¥Ÿf1 p2’+  J $ ˜™

—] 'g “ [€S ` °G k)

' ¯ g±IY ²l 'g 2Q GG

¢]v, ³° 9:; l ¥ °G k) [€

S 4aˆ a–i´ JA. F³, _³, _ “

 [€S ` °G k) 'g žA µ¯ [€ : ]lS 4aˆ a¶ 4 ~

01,  †  F³, _³,  9Z J 2F  +,hi ·A. ¸a¹_ ºk) '

 ³p '01 ]»Y ²J  01 F³;

¼½V“1 ]ZJ AAAB †q :? : ¥

ZL l ’¾ ž:J ¿ 4A.2¸a¹_ $

  œZ |   k) /h œZ(E:

ºk)) 'S T 'g ž³ : 4 -./

] À Á\ pÂA: J ¿ 4A. Ã -./_ 

' ()*+1 /Äh K,' À Á\

pIf1  -./ Å¿±¯ Æ% RJ '

 ºk) Å¿Ç  k)01 ' % RJ A. ȅ $  œZ |   k) / h œZ Å¿±¯ g±IY ²l '

-./ , -./ l %ÉÊ ˟

AÌ   -./ l %ÉÊ (˟A Ì01 #$2> u] Í Î} A. Fig. 1_ -./

 9 ÏÐr ƒ 'r vwÑ u ]A.

¥ÒÓ, P ¯  -./ g±IY ² ! $   !Ÿ g% /, M€ N;

š›   «] 2 : 4%, 

 'J P G01  -./ q8 : 4 P J ‚œÔ V9N_ 

-./ q8 : 4 P Fb] cd ÕA

u ž: : 4A.2-7¸a¹_ k) /ÄB ¼

½ _  'J P] 516 ™G

 l Ó q 9Z % R :, -.

,01 ž /01 hփ‡A u ž: :

4A.2 P] † g%: 4 , -.

/_ P “/ ×Q  ØÙ¯ yÚ  7 n, M †_ P ێ V; U2J Ü

×Q01 p 4 , -./ ݎ: ×Q

%Q 7h [da 4  ʃ]a

ˆ } J u]A.  '  P] ž³ : 4 , -./  †2‡ '  

 ÞjI Gß©Z J ' K !Ÿ g

% ³q -. J àk)01 vwv¯ BA.

|Û r] aB ]K C, |D, 

 $    `] 'J P

| G¤ g , -./ ¥1 ž³ : 4

Fig. 1.      2.

(3)

u ž! N1yz    -'  ] 4A u PQS 4A.

¥Ž:    -'  žA P

] g%: 4 , -./  -./0 1 #$23 4 L  -'   -

' á kÏ] Î} A  ®S 4A.

    J ¼½ ; âãžn, 

 ‰ ˜G äå ¥Ž‘v, æa, TP, çèz é„ê]ë D01 2   ] $ k)  ' L]…: ž: : 40v,8-13 78 9:;

<=2O , -./  -./01 #

$23 4   J  cd yìJ Mr]A. P] † g%: 4 , - ./  -./01 #$2>Y ²l í g% / 2 Fl 9:  78 9:g Î} A. ȅ žA L01  -./

g±IY ²l 78 9:; <=2> u] c d |} f1 78 9:; <=23 4 

] cd Î} A: S 4A. ȅ  78 9:; <=2> 516   -'  :? :,    -

'  F : JA.

   

' , -./  -./01 #

$23 4:, – /Äh  ($)  œ Z ' žA L 78 9:; <=2>

  -'  :? :  

  -'  F : JA. œ Z ’î$ n Aï —A.

1)      JA.

2) " #$ % & ' ()*+ ,

-./  -./01 #$23 4 51 6    :?JA.

3)     516 

 01 :?J 78 9:; <=2> 

   L; FJA.

 

   

 j ðñ J 9 9K ò9 š+

1 M2 @:, HI  K ó]; ôƒžõ0­,

Fig. 2 vwö ÷ó  ! M2 @A.

    

G_ dŽv… |y %~ aø ù¨% ² I : 4  3ú P | II;

ûJ P 32› G01 @A. EF ò9(pilot test) 1998ú 9ü-1998ú 10ü M2 @:, ò 9– †HI 1999ú 3ü-4ü M2 @A.

  

     78

 9:; <=2>    J P

 PQ V9 Y ² ! ¸a¹] 10ý01 k ÏJ ‘    78 9:;

<=2>    J .%’; 9Z @A. ¥Ž:  -./ q8 ra; V9 Y

²l Novick Nussbaum,3 ¸a¹2]  -.

/ V9 Y ² ! 9ZJ š%; þ: ! ‘

 -./ q8 ra V9%’; 8 ! 9Z @:, 8J V9% w¤8_  g 3  l w¤8 rÊõA. 9 ò9 9ZJ ‘

 -./ q8 ra V9%’ 12k ý01 8

@:, 9K ò9  9ZJ u_ 3k ý01 8 @0­ QQ ý_ :*, ÿ*, Y* -. J -./ ôƒžY ²J ý]A. P  N

Fig. 2.  .

(4)

 r8 ~01  ! k) ³q  @ 0­, †  K k) #$ SAS 1¥ ] Z ! ôƒžõA.

  

   ! "#$ %&' () 1)    01 'J P

| G¤ g  M- N2O PQ % R  ] 4A. à jG Ge   †2

‡ 'J  N2O PQ % R  

 pJA.

ý 1_    01 'J [

€] 4:, 78 9:; <=2>  

 'J [€] ` P G01 

 ‘ -._ ”1 8hi 4A %® É6

] 4g?’ J N; 2J u]A. ý 1 J P_ í “É6] 4A.”:  @ A. jJ P ¯ ý 2 J N; Table 2 2 @A. ‘-    'J K jGP ,  -  ¯ B [d - ]

àÇ ] 4g?’ J P N, J

P_ í à±% &õA:  @A.

Table 3_ ý 3(‘-    'J K jGP ,  -  ¯ B [d -

] àÇ ] 4g?’  ]³) J P

 N; vwÑ u]A. jGP ,  -

 ¯ B [d - ] à±% & ]³1

 “ ?ž]„ .  ž]% & -.]f1

PQ] v% &õA. -v ”; “ a

`Y T MP /Ä2O PQ Yg iY T

]A. ” 01 ž u] ƒ„Y T PQ % &A”, “”q  É H2O– Á

 H2O; /2>% R”, “AÇ -.]… PQ

”, “1 /] ?”, “- J k)] A±¯

q8hi 4Y à $ 2‡ É6 -_ H-O-H ]Ò k) $ -1 PQ ]% MP ¼ PQv% &A.”, “M P 4i  9-

1 PQJA u_ 4 `  ƒ„…

jGP  ¥ -* ¥1 2Q ' ž

­, ]u] Uª]A…: åñ : ¥¯ !A.”,

“- ¥ v G01 ž: Y T ”, “- l  G1 PQ YžA - J u

 PQJ u —A.” D] 4A. ]ŸJ N

_    01 'J P | G¤ g  M- N2O PQ % R  ] 4 u ž!‰A.

2)    01  ' S T UVW XY  ' 9Z  [\]

^_ ] 4A.

y P]  ; l 'J [€] 4 (”,  D) ¥1 Ys  P] «0v,  ; l 'J [€] `  _  PQ % R :,  'J  Z ‘v Z % R  u0 1 vwxA.

ý 4 ‘ ù– ùg $ 7 n -(  Y)] BA. ] -. ™G žY1 J 

 T i!¯ žj%; ¥"01 ˜™l ž2à’.]

A. ] J P E; Fig. 3 vwœA.

ý 4 J N; -./ ³q1 J N; Table 4 2 @A.   !Ÿ # 7

$l 'J [€] 4 ù, ù, - J

 l J P í  /

 q8 : 4 u01 vwxA.

3)    01  ` ] 'J K a , -./  -./01

#$2>% R  P Fb] cd ^_ ]

4A.

   01  `]

'J P G01  -./ q8 ra;

Table 1. 1(     !"# $

%& '() !#*?) +, -./

-.01 234(5) %

1(!") 2(6")

32 0

100.0 000.0

Table 2.  2(7 8&  , 9 :;<=

> & ?@A B CD 7 8) EFG ) !#*?)

 +, < -./

-.01 234(5) %

1 (EFG") 2 (EFH$ IJ") 3 (KL)

0 0 32 00

0.0 100.000

0.0

(5)

ôƒžY ² ! ‘ -./ q8 ra V9%’1 V9, J N; Table 5– 6 2 @A. ý

ȅ ó]g 40v, ý B1-B9 J *

%&01 F ! žn, C( , / -./)]

37.0%, C&D( , /  Þ , /01

 ]G)g 14.3%, D(Þ ,  / -./:

 /)g 42.3%1 vwxA.

ý B10-12 J * %&01 F !

žn, C( , / -./)g 25.4%, C&D(

, /  Þ , /01 ]G)g

3.2%, D(Þ , / -./:  /)g

60.3%1 vwxA. ]ŸJ N_  

!Ÿ# 7$l 'J [€] 4 -, Y 

 _ Ys %, 'J [€] ` 

  l  -./01 

% R  P Fb] ^_ u ž!­, 

  žA  -./ q82>Ó L

 516    J g Î}

A  ®2O ‰A.

4)    01  ' S T  Ge01 ' f1 -. J 9:

Table 3.  3(‘7 8&  , 9 :;<= > & ?@A B CD  7 8) EFG ) !#*?’ -.) 0) +, <M -./

-.)0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

23

%

3 9.4

5 15.6

1 3.1

2 6.3

2 6.3

1 3.1

3 9.4

2 6.3

1 3.1

4 12.5

1 3.1

1 3.1

1 3.1

1 3.1

1 3.1

3 9.4 0-N-.

1-O PQ)RS. O Q)$ I# )T <U) PV". 7W X Y? Z 3 6K [ \<= ]^_

<U@K* `K [)". # Oa Q# b) RK [ <U@$ I#".

2-1& \c Q$ IJK [

3-*d ^e, *d)$f <Ug Z !".

4-\<= *(h Y? ij& kl$ IaT $% $%a m ij& kn b, <= )o@p -oq 4 !A '( b ) Rr s$ )taf 'uK [)".

5-N%a v @p 4w^e '( b x b)r# <U) y M$ I#".

6-1 'uz H2O{ 4i| H2OX ^}$ ~. "G )r <U, € ) PB".  +, ‚

) "HA 1 !K ƒ „ ^e '(  H-O-H )… ‚ „  <U† ‡)$ \<=ˆ <UW$ I#".

7-‰Š, b +g K‹ mAd '( ) 6"()t Œ ). ŽX M 7X D O  4 !3‘ ’A fM D

M @“” Y? •–g QA —a˜ K‹ mJ& b)"(8c^). \c <=^# )t) ™ša "*F$ I#".

8-,› œ 'ž ŸKg@p !& [# & Q˜ Œ 8& E ¡ —".

9-\c <= !   & ¢ <U,"# b !& 4 6& ‡f Rr :;<=# ‰ £ ‰+ ^U

¤ & Q¥, )b) N¦)"rp §s@p ‰¨A “©". & ‰ª @W +;a Qp ™«K [,  +g

¢ ;¬ <U@KQ"#  +, bf <U, b x".

10-KL

11-& *$p Y? ­, b) ® 1& )o, )t )g¯K [

12-& °& [ 2±œ² PQ)R³ ´

13-8Q"# sµ¶ ·K@#hf ŸC& ¸K [

14- 1¬# 7* Q)$ I  <U) kl$ I#".

15-\c ¹º@# »¼# ½^»¼)K [ <U) ¾A W$ I#". :; <= Oa  4 !# ½^»¼)".

Fig. 3. 4 +, <M -.Ž.

Table 4.  4 +, -./X 7¿, /

-.01 234(5) %

C C & D D

00 00 32

00.0 00.0 100.00 C: >¤ À , C& D: >¤ À Á

>¤ Àa Â);¬, D: Á> ¤ À 

(¢¤ À)

(6)

g  Ge Jhi 4i jG Ge01 /2>% R  ] 4A.

‘-. n à± ñi; PQv 1 i ž2 à’ J  N(Table 7); l žn, P

| 19.0%g ‘’…:  :, 14.3%g ‘ÿ*, Y

*, :*’1  0­, 9.5%g ” '1 

A. QQ  ³q Ge1 l žn, 

 Ge(Scientific Context: S) Zi1 J P_

47.6%]:, jG Ge(Everyday Context: E)01 

J P Fb_ 14.4%]:,  Ge jG

Ge  í 9Z  Zi(S&E)1 J P F b_ 28.6%]A.

]– —_ N1yz ô 4  

   01  

 01 G¤ Y‡ 'J P | G¤  M ¬¨  M€™G(‘2 ’+ ™G) (”,

, ]•, ) J $ ˜™(p2 ’+

˜™) /+; ]l % R  [\] 4A ,

P y]  J $ ˜™ ]l

% R  [\] 40­, $ %® 'S T U

VW Y+01 XY  [\] 4 D] 4A.

     

 516   01 8

 ']Œ k)#$; ²J †q J  ( ; l14-16 78 9:; <=2>: jG

Ge /2O  g±I (RE- PM: Reflective Thinking & Everyday Context-Particle

Model)  :? @A. 78 9:; <=2

>   _,  M- N 23 4  _ i)  g? 

 ³p' S 4:, j7$S 4 

_ i)  g?  -./01 ˟

AÌ #$23 4  _ i)  

g? J ~?01 :?B u]A.

Table 5.  B1-B9 +, -. +,  7¿/(ÂÃ)

B1 B2 B3 B4 B5 B6 B7 B8 B9 ÄÅ

N C DC&

D E

0 47.6 38.1 14.3 0

0 4.8 85.7 9.5 0

0 9.5 81.0 9.5 0

0 76.2 19.0 4.8 0

0 42.9 23.8 19.0 14.3

0 57.2 19.0 4.8 19.0

0 52.4 19.0 23.8 4.8

0 14.3 57.2 19.0 9.5

9.5 28.6 38.1 23.8 0

1.06 37.0 42.3 14.3 5.3 B1: ƝÇ, B2: È4 , B3: Â É#, B4: ˜aB ÊË, B5: %Ì, B6: Í, B7: ÎÏÐ, B8: ш > ÒK, B9:

ÓÔkÕ Ö×, C: >¤ À , C& D: >¤ À Á>¤ Àa Â);¬, D: Á>¤ À

(¢¤ À), E: KL, N: N-.

Table 6.  B10-B12 -. +,  7¿/(ÂÃ

)

B10 B11 B12 ÄÅ

N C D C&D

E

4.8 38.1 47.6 4.8 4.8

4.8 19.0 61.9 4.8 9.5

4.8 19.0 71.4 0 4.8

4.8 25.4 60.3 3.2 6.37 B10: Ɲ > !# Ør˒ P ÒK, B11: ;Ù Ø r˒ P ÒK, B12: *Ú^ Ør˒ P ÒK, C: >

 À , C&D: >¤ À Á>¤ À a Â);¬, D: Á> ¤ À (¢¤  À), E: KL, N: N-.

Table 7.  5(@˜ EFH# s X <UW# +  Q

^F) +, -. /

-.01 % ;Û7Ü

0 1 2 3 4 5 6 7 8 9 100 110

9.5 19.00

9.5 14.30

4.8 4.8 4.8 9.5 4.8 4.8 4.8 9.5

S S S S & E

E E S & E

S S & E

E S & E 0-N-., 1-7, 2-ÝÜ(Þß, 4à, ØÔFH, DrÕ, áà, à, â‰ãä, 4à), 3-å£, K£, p£, 4-7, 5-Ð, 6-æ, 7-*Ô(7ç), è*Ô, 8-N<, 9-é , 10-ê 11-ÒK S:  ;Û, E: :; ;Û, S&E:  ;Û :;

;Û ë o@# o

(7)

*¨+ q17 YCl 516   

] %,D ³Ï2O 78 9:; <=23 4ï š›S 4A. 'g , -./

(C1) ž³ : 4 [d ‘2’+  $ ™G (R1)_ ]lS 40v, p2’+  ™G(R2)_

µ¯ ]lS `A. ȅ , -./(C1)

p2’+  ™G(R2)9] ,D 1] ³Ïh:, ]

ŸJ ,D 1 lù  r  , -./(C1)

  -./(C2)9] ,D 3] ³Ïh: , D 3 lN Y ²l ' 78 9:; l , -./(C1)   -./(C2)01 k ) #$ ¯ BA.

]:  Ge   (TS- PM) J E; Fig. 5 2 @:, 78 9:;

<=2>: jG Ge /2-   

(RE-PM) J E; Fig. 6 2 @A.

]:  Ge   (TS- PM) E  ù– ùg 7l Yg h

$7 g±ä T 'g ž³ : 4 ¼k)

(C1: ù -., ù -., Y -.  ! 

'g ž³ : 4 , -./) ‘2 ’+

 $ ™G(R1: ‘2 ’+  ž]% &

M- ù, ù, Y) 2 % &:, 

k)(C2:  -./ !Y ù  ,

ù  , Y  ) p2 ’+ 

 $ ™G(R2: M-] ƒ. G/ $Ú-›

ù, ù, Y) 2 Y T , -.

/ ž³ : 4 ' [d ' %

V œ 4 , -./ 78 9:;  J ³p ' % R :, ñ0¾ 516 '

(!Y Fig. 5 2B rž); % V œ 12> Y+ ' ¯BA. ]– —] Y+

01 'J [d  Fig. 5 2B rž pa

±n ¥" Ys  '] jiöA. ]ŸJ  '_ i) 'g ”ùYß; Ô¶ T J #a M

- ] ` ¿v2 ”ùYß V, 34

”ù Yß Se, ]56 ”ùYß Y; UVW Y +01 XY  ' —_ '] jiv¯ BA.

78 9:; <=2>: jG Ge /2-

  (RE-PM) E  ù– ùg 7l Yg h $7 g±ä T ñ0¾ M-] ƒ. G/ $Ú-› ù, ù,  Y; Zi1 2  ]:  Ge 

   A±¯, ‘2 ’+  $ ™ G(R1: ‘2 ’+  ž]% & M- ù,

ù, Y) p2 ’+  $ ™G(R2: p2

’+  ù , p2’+  ù, p2 ’ +  Y) 2 2l 7018 ,

-./ ž³ : 4 ' [d a '

% V œ 4 , -./ 78 9:

; l 'g ž³ : 4 ¼k)(C1: ù - ., ù -., Y -.  ! 'g ž³ : 4 , -./)  k)(C2: 

 -./ !Y ù  , ù  , Y   )01 k) #$  '] jiv

¯ S 4A. ] T ‘2 ’+  $ ™G(R1) _  Ge  ‘2 ’+a 1 % 78

9:; <=2>: jG Ge /2- 

 (RE-PM)  'g ]p g%: 4:,

' ¯ Â9J jG Ge ‘2’+; ]Zl

'g ³p ' ’; Æ: 4aˆ @A (Fig. 6).

]:  Ge   (TS-

Fig. 4.ìºí ¤$ îï 1.

Fig. 6.ð pX ñò^}p :; ;Û ^ó ¢

8 4 Âô(RE-PM) Ž.

Fig. 5.Âõ)p  ;Û ¢8 4Âô(TS-PM) Ž.

(8)

PM) ; AÇ E; Fig. 7 2 @:, 78 9 :; <=2>: jG Ge /2-   (RE-PM) E; Fig. 8 2 @A.

]:  Ge   (TS- PM) ; AÇ E; Fig. 7 2 @:, 78 9 :; <=2>: jG Ge /2-   (RE-PM) E; Fig. 8 2 @A.

]:  Ge   (TS- PM) E  - ’ g% G(:*, ÿ*, Y* G

); g±ä T 'g ž³ : 4 ¼k)(C1:

:*G -(<ï), ÿ* G -, Y* G -(

Y)  ! 'g ž³ : 4 , - ./) ‘2 ’+  $ ™G(R1: ‘2 ’+

 M- <ï, -, Y) 2 % &:, 

 k)(C2:  -./ !Y - 

) p2 ’+  $ ™G(R2: M-] ƒ. G / $ Zi -, :*, ÿ*, Y*)  2 Y T , -./ ž³ : 4 '

[d ' % V œ 4 , -./

 78 9:; J ³p ' % R :, ñ0¾ 516 '(!Y Fig. 7 2B r

ž); % V œ 12> Y+ ' ¯B A. ]– —] Y+01 'J [d  Fig. 7  2B rž pa ±n ¥" Ys  ']

jiöA.

78 9:; <=2>: jG Ge /2-

  (RE-PM) E  - ’ g%

G; g±ä T M-] ƒ. G/ $ Zi

 :* G -, ÿ* G -, Y* G -

 Zi1 2  ]:  Ge 

   A±¯, ‘2 ’+  $ ™G (R1: ‘2 ’+  M- <ï, -, Y)

p2 ’+  $ ™G(R2: p2’+  :* G

 <ï , p2’+  ÿ* G -, p2 ’+  Y* G Y ) 2

2l 7018 , -./ ž³ : 4  ' [d a ' % V œ 4 ,

 -./ 78 9:; l 'g ž³ : 4 ¼k)(C1: <ï, ÿ* G -, Y -.

 ! 'g ž³ : 4 , -./)

 k)(C2:  -./ !Y - 

)01 k) #$  '] jiv¯ S 4A (Fig. 8).

 *+ ,- .  ! "#$(TS- PM), / +0 123+ 4 . 

 ! "#$(RE-PM) 5, 6"

1) 78 9:; <=2> (RE-PM)

 HI K  -./ q8ra V9 N

78 9:; <=2> (RE-PM) 

 HI K  -./ q8ra V9 N;

Table 8 2 @A. ý B13, B14, B15 J

 N; J N  P]  -./

 q8 : 4 u01 vwxA. ]ŸJ N 7 Fig. 7. Âõ)p  ;Û ¢8 4Âô(TS-PM) Ž.

Fig. 8. ð pX ñò^}p :; ;Û ^ó ¢

8 4 Âô(RE-PM) Ž.

Table 8. RE-PM 4 Âô œl 9 ¢  1 3 •

/

-.01  B13  B14  B15 C

C & D D

0 (0 0.0) 0 (0 0.0) 32 (100.0)0

00 (000.0) 00 (000.0) 32 (100.0)

00 (000.0) 00 (000.0) 32 (100.0) C: >¤ À 

C&D: >¤ À Á>¤ Àa Â);¬

D: Á> ¤ À (¢¤ À)

 B13: 0X k^ 4öa ÷+—& [ ‰øa ùú g Q^F?

 B14: ûr) )Ë WF# K£X k^ 4öa ÷ +—& [ ‰øa ùúg Q^F?

 B15: ü3X k^ 4öa ÷+—& [ ‰øa ù úg Q^F?

(9)

8 9:; <=2>   ] 

-./ q8 ¯ Ó cd L  

u ž!‰A.

2) 78 9:; <=2> (RE-PM)

 HI K, ‘  Ge   (TS-PM) 78 9:; <=2> jG

Ge   (RE-PM) | i ~]

k) ]l t L]…: PQ g?’ J 

N; Table 9 2 @A. J P íg

]:  Ge    žA 7 8 9:; <=2>: jG Ge  

] L]…:  @A.

78 9:; <=2> (RE-PM) 

 HI K, ‘TS-PM RE-PM | i  ~]

t ¨p4g?’ J N; Table 9 2

@A. J P | 84.4%g   Ge

    žA 78 9:; <=2>

jG Ge   ] t ¨p4A:

 @A.

78 9:; <=2> (RE-PM) 

 HI K, ‘TS-PM RE-PM | i  ~]

 Ys Ó t L]…: PQ g?’

J N  J P | 84.4%g 

  Ge   žA 78 9 :; <=2> jG Ge   ]

t L]…:  @A.

78 9:; <=2> (RE-PM) 

 HI K, ‘P ¯  g±I¯ h

T TS-PM RE-PM | i ~ ¼= >g?’

J N  J P | 96.9%g 78

 9:; <=2> jG Ge  

 ¼= >A:  @A.

78 9:; <=2> (RE-PM) 

 HI K, ‘ý 10(TS-PM RE-PM | i ~

 ¼= >g?’ J  ]³) J  N

; Table 10 2 @A. RE-PM~ ¼=  ]³1 “TS-PM M -W   T ŎY i¦dv RE-PM [dH? M- @ Éd¯ h n MP  GY Y µA.”, “ƒ ¯ TS-PM H? g±ÂAn -. k k)01 ô¯hi É6 u MP  PQS ` u]A.”, “RE- PMH? g±A´ M- /2O PQS 4 u ]A.”, “M- @ +2O g±Af1 ƒ]

t ÂB× MJ G C¯ l f1 t Y

01 YsBA.”, “TS-PM_ DU k) ]Œ

Y] i  ,]v 2€% , ¼ Z] 

³1dv MP ¼ iY $]… †] ƒ ] ^_ E F: 4 u —A. ¥Ÿv RE-PM 1 Édn $] G H] ƒ. MP  ÏIS 40­ JK gL¯, ³M¯ PQS 4A.”, “TS- PM ]Œ n I|J N ! MP Z]

h% & u —A. y; ²J 1 pg 4 A.” D] 40­, ]ŸJ N_ RE-PM ~]

 ~ žA L]… u ž!‰A.

‘78 9:; <=2>   ] 

Œ -./ q8 Ó aO] hg?’ J

P N ‘aO] hA’…: J P]

100%1, ]ŸJ N 78 9:; <=2>

  ] Œ -./ q82>

Ó L  ~ u01 l 4A.

   

     

  !, " #$ % & ' ()*+

, -./  -./01 #$23 4 516   01 78 9:;

Table 9.  6-9 +, -. /(4w9)

5(%)

  TS-PM ×ý@" RE-PM

 6

 7

 8

 9

0(0.0) 5(5.6) 5(5.6) 0(0.0)

0(0.0) 0(0.0) 0(0.0) 1(3.1)

32(100) 27(84.4) 27(84.4) 31(96.9)

TS-PM: Âõ¤  ;Û ¢8 4Âô

RE-PM: ð pX ñò^}# :; ;Û ¢8

4 Âô

 6: Âõ¤  ;Û ¢8 4Âô(TS-PM)

 ð pX ñò^}# :; ;Û ¢8 4 Âô(RE-PM) þ ™ ÿ) ‚)g  )rp

<U@#*?

 7: TS-PM RE-PM þ ™ 4 ÿ)  ºk!#*?

 8: TS-PM RE-PM þ ™ ÿ) ¢8& K‹@

#h  )rp <U@#*?

 9: a *  <MA ¢8& *HlA 

& [ TS-PM RE-PM þ ™ ÿ& ˆ@#*?

(10)

<=2>    :? @A. :?B 78 9:; <=2>    CD

 EF9; G01 HIJ K, 78 9:;

<=2>    L;  

   F  @A.

    01 1) 

Table 10.  10( 9 +, -.)0) +, <M-./

-.01 234(5) % -.01 234(5) %

0 1 2 3 4 5 6 7

2 7 4 2 1 1 1 1

6.3 21.90 12.50 6.3 3.1 3.1 3.1 3.1

08 09 10 11 12 13 14 15

1 2 5 1 1 1 1 1

3.1 6.3 15.60

3.1 3.1 3.1 3.1 3.1 0-N-.

1-TS-PM# \c & ?—& [ E K DW RE-PM CDœ² \  'DA ˜ \<= ;K@K ¾".

- MA TS-PMœ² *Hn"˜ # € ‚a ÓA '( b& \<= <Uq 4 6& b)". RE- PMœ² *H \ ^_ <Uq 4 !& b)".

- \&  ¼^_ *H T A  n  ÷\, ;& mA g T  |Ka K‹B".

2-TS-PM# )t)K [ ) ;¤ ;; > )Ô ò". ‰ŠW RE-PM )t)K# @W \<= 

?@# £X *$p *Hl˜ n    K 0  )".

- \c & og 4w@K [ :;<=  ¬3X *$p £X Q# O& *$A   kX ™

4 !& b x".

- :;M& ) )oa   kX ™ 4 !p M&  [   <Ug 4 !# & $RA † b x".

3-1& Q“˜  y )g@p K‹q 4 !". )MA# £& )o@# b) K‹  F m& b)". çf  5@# bQ" ;)r3 1& *$p ‚& 5@# b) ".

4-$”S$ „  1& õg )Ô  K [ )g@K* M". \c¤   ¢t¤ <U

& * 4 !3‘ $3g ,".

5-TS-PM# N ‚ )t¤ K7) M  >)W ^$ >ˆ qo) 0DW \<=ˆ `K „)r

# 4w) )M  Ð& !p !# b x". ‰ŠW RE-PMa „) " #) ® \<= $q 4 !a¥ %&

*'A, 0(A <Uq 4 !". TS-PM )t¤ ˜ lþ, )@“ \<= o) P# b x". Ò*X Œ, 8

f k* !".

6-\º  *| ÷+, & QJ& [ k+& ™,".

7-p ‚& - @#Wrp ™,"

8-W <U) >¤ )r# b& Ó 4 !p, W  +, Q# U3X "HA . ,"p <U—".

9-TS-PM x 71a 'D# b Q" RE-PM ÿa @˜ \c £ ÷+r# b)  *'A ™/ò". TS-PM

 1f& WL0p, RE-PM \c{ /   ¾p ºk!& b x".

10-$”S$  TS-PM ÿ& )o, „& g". F1 '( RE-PM ÿ& ?@¥, TS-PM  ÿ +Ÿ RE- PM ÿ& 3¢,"˜ Q" )r <U@¥, RE-PM ÿa ‚& 1^ó 9 TS-PM ÿ& \^,"˜ 

". TS-PMQ"# RE-PM) Ò* !  $Ô& 2 ™«¥   ÷\@A ¤%^3 4 !& b x". ‰…h RE-PM

& 'Dp TS-PM3 M ) & )@". RE-PMÿa $3@˜ Çþ)  y¥ kX 4p ºk!A 4w 5@

r <U,". RE-PM x) q CD :;<= ¢ ‚& <Ug 4 !p, ¢M) 6A “ ) )Ô 7#$X ¾A  )gq 4 !& b x". TS-PM& @# b Q" RE-PM ÿ& —& [  k(p ‰ ^ef @p 8W#

b) Rr ¼> K‹ m& b)".

11-RE-PM ÿ3 ¾$# I& b)". RE-PM  CD \c Q)# ") ð${ ú ;Û  4 6# 7•X 

/^}# b3 9 b)".

12-TS-PM ÿ ;)p `A ™/$p :r ºk* 2@". ð˜ RE-PM ÿ \& 3¢a )g* ¾

p kž  ¤ 4w) † 4 !& b)".

13- k^»¼X 8& õ@“ c^@# b) )g* 4;q b)".

14- TS-PM ‰ª ·K%)r# <U) ". RE-PM £ 1¬X Q“  ‰ :*X ÷+@K [ )M& *H<

[  K‹) Fr <U,".

15- TS-PM x ÿQ"# k^»¼{ ½^»¼X ^ c^@“ *Hl# b)  & b x".

(11)

 M- N2O PQ % R  , 2)

 'S T UVW XY  ' 9 Z  [\] ^_, 3)  `] 'J K a , -./  -./01 #$2>

% R  P Fb] cd ^_, 4) -.  'S T  Ge01 ' f1 -. J 9 :g  Ge Jhi 4i jG Ge01 /2>% R  D] 4A.

78 9:; <=2>   -' 

 ?_  Ge01 2h  

  -'  Ў jG Ge 

Ge N2O 7018 ' % V , 4

 /Äh ¼k) Gß©Z ! , -./

  -./01 #$23 4aˆ :?J u]A.

  Ge (TS-PM)  

 78 9:; <=2> jG Ge 

(RE-PM)   L; FJ N RE-PM 

] k)]lmn, opmn,  -./ q8 ra, Ysmn  t L u01 vwxA.

78 9:; <=2> (RE-PM)  

 HI K, ‘TS-PM RE-PM | i ~ ¼=

>g?’ J ý , RE-PM~ ¼=  ]³1 “TS-PM_ M -W   T ŎY i¦dv RE-PM [dH? M- @ Éd¯ h n MP  GY Y µA.”, ƒ ¯ TS-PMH

? g±ÂAn -. k k)01 ô¯hi É 6 u MP  PQS ` u]A. “RE-PM H? g±A´ M- /2O PQS 4 u]

A.” D] 4Ó, ]ŸJ N]  

 29_ jG Ge    ~]

  Ge(M€M Ge)  ‚Jhi 9:

 u] ƒ„…,   †2‡ 'J 

 jG Ge /2O 9:S 4aˆ l ‰A

 u]A.

;J  N  ($) D $

 1¥    -' J 5

16 ® #$g Î} ­, 78 9:; <=23 4  (RE-PM  )] žA L

  01 Z 40f1, RE-PM

  J Å¿Ç ]l– Z ~? J % , – P¢] Î} A u 29JA.

   

1. , 1992, 12, 35.

2.       

;   , : 1991.

3. Novick, S.; Nussbaum. J. Science Education 1978, 65, 187.

4. Novick, S.; Nussbaum, J. Science Education 1981, 62, 273.

5.   ! " #$ %&;  

 , : 1989.

6.  '(, )(, (*+  ! " #$

%&;   , : 1991.

7. ; ;  ,- 1996, 15, 305.

8. Anderson, C. W.; Berkheimer, G. D. Matter and Mol- ecules. Teacher’s Guide: Science Book; Institute for Research on Teaching, College of Education, Michigan State University: Occasional Paper, 1988; No 121, 122.

9. ;   1997, 17, 313.

10. ; ;  !; "#$ 

1998, 18, 161.

11. ; ;  !  1999, 19, 128.

12.  ./ !0* 12 345 6%  

;   , : 1997.

13. %&' Anderson 789: ;<1 ,- 6=

>!$ ? @AB  C; (   , )*(: 1997.

14. "+; ,; &-; ;  D EF "

 G H I ?J; )*( ./

01 234: 1999.

15. 56 "K  LMN OP QR SFN &'T U

: 1991.

16. Morris, J. GCSE Chemistry; Unwin Hyman: 1989.

17.789 [\ 1989, 7, 1.

참조

관련 문서

 The Dutch physicist Pieter Zeeman showed the spectral lines emitted by atoms in a magnetic field split into multiple energy levels...  With no magnetic field to align them,

Modern Physics for Scientists and Engineers International Edition,

If both these adjustments are considered, the resulting approach is called a bootstrap-BC a -method (bias- corrected-accelerated). A description of this approach

③ A student who attended Korean course at KNU Korean Language Program and holds TOPIK Level 3 or a student who completed Korean course Level 4 at the KNU Korean Language

Five days later, on 15 January 1975, the Portuguese government signed an agreement with the MPLA, FNLA and UNITA providing for Angola to receive its independence on 11

· 50% exemption from tuition fee Ⅱ for the student with a TOPIK score of level 3 or higher or completion of level 4 or higher class of the Korean language program at the

웹 표준을 지원하는 플랫폼에서 큰 수정없이 실행 가능함 패키징을 통해 다양한 기기를 위한 앱을 작성할 수 있음 네이티브 앱과

_____ culture appears to be attractive (도시의) to the