高職生數位落差現況調查之研究
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(3) jacky@shute.kh.edu.tw
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(6) =6 7 . . x=>. @X. V. Abstract The focus of this research was on the digital divide among the vocational high school students and their factors of digital divide. Using purposive-random sampling, a number of vocational high school senior students among 14 high schools in Kaohsiung filled out this questionnaire. The results of this study include: (1) Students with different background and the learning-environments of vocational education had differentia on “the information and communication technologies (ICTs) access”, “the Internet access” and “the behavior of web usage”. (2) For students different in ethnicity, family situation, family income, parent’s highest education level, parental support in web usage and the experience gained from web-based course, there was a remarkable differentia on the analysis of “their attitude toward information from the web”. (3) For students different in school type (public/private), along with the types of information posted from the school website (such as school activities, grades,. preparation materials for classes provided by the school, etc…), there was remarkable differentia on the analysis of “their attitude toward information from the web”. (4) For students different in gender, ethnicity, family state, family income, parent’s education level, parents’ support in web usage, and the experience gained from web-based course, there was remarkable differentia on the analysis of information literacy. (5) For students different in school type (public/private), along with the types of information posted from the school website (such as school activities, grades, preparation materials for classes provided by the school, etc…), there was remarkable differentia on the analysis of information literacy. (6) “Their attitude toward information from the web” as a direct effect on their information literacy. Keywords: Digital Divide, Information literacy, Webbased course. 1. *{ |} ~ 1# # 1 p # { 9 1 # =1 KW { b 6 7 ¡ 7 1 (Information & Communication Technologies, ¢ £ ICTs){ ;¤ =¥ ¦ § ¨ ¤ 0© ª « ¤ { 1 ¬ #$ ® ¯ ° ±6 7 p ² ³ Y ´ µ ¶ O ]· O ¸ #¹ º » ³ 6 7 ¼ 2 [ ½ #¾ ¿À Á xÂà Ä9 ¼ 6 7 xÅ* 2 d Æ ÇÈ É !Ê % 6 7 p ³b . 6 7 xO Ë Ì #¾ ¿ÍÎ ] Ï 6 7 :;V W 6 7 x, -=HI 0 !. / #Ð Ñ Å]DÒÓ³Ô 6 7 A ;Õ ¤ # ]Ö ¬ ( × Ð Ø #Ù Ú (Û ½ Ü 2002)±Ý Þ Q Ð Ñ , . /=1 2 3 4 0 > @6 7 [ \ KW 6 7 xß6 7 :;àá B#D$ ~®
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(68) 5 H I=HIL Mw =HN P*Â ® =HN QR S B> T U V Ww # þ ý ] ´ d > @#¤ e ³ w 8 . . t ä8. 33 4 22 % & . ° r ´ ´ ¶ 17.555}}} 2.198Ç 0.760 30.117ÇÇÇ 5.585 17.981ÇÇÇ 12.087Ç 38.355ÇÇÇ 9.938 19.242Ç 17.211Ç 55.069ÇÇÇ 9.655Ç 1.394. xB#Dv. a . 16.165. 2.466. 67. :. 24.057}} }20.322} }}20.279}} }21.397} }}21.239} } } 9.655 }. e. 9 . 42.865}} }31.299} }}71.682}} }23.277} }} 5.958. 1.394. / o. }} 4.026} 19.720}. 2.184. . Ü 9, -. / o e 67 xB] ^ _ D Ü. 4-4-11 Ð Ñ 5v w <= 5F G<=5HIJ K<=5HIL M<=5HN O P<=5HN QR S B> #T U V W<05> @X V Y Z< , -. / o e 567 x<B :. ^ _ v #Dî± j #, -. / ³ ¦ l67 xDB~, ã ¸ # . 4.5 6 7 8 9 : ; - 4 5 1. 2 3. 10 ' ( 9. . ç è É è. 4. o e. 67. :. !. . ; B#Dv. ) * + , . - .. % ü. þ É ü ý. PDA. 11.011Ç 0.011. 0.740. 1.018. 0.012. 2.522. 9.40Ç. 2.087. ý. 33.77ÇÇÇ 1.993. / 0 1 . 2 2 4. Ð. % & r . ã. . . . . . . .
(69). 1067 1 : É ý ] ¾ á 1 2 3 4 o e · , -ó = #ý ]. Dj ³ ê ý ] , -ó = ¹ 1 4 #y z Ü. : 3. ]. 11 ' ( ) * ° r ç. ´. + , 3 . 0.881. è É è. ´. ¶. 2.139. 4 2 2 % &. 4 . Î. Ï . 0.584. . ã r. 3.069. 13.94Ç 15.72ÇÇÇ 10.19Ç. ´. 0.004. 1.95. 11B> ¾ ¿ ¾ á . Ñ S ^ B> ¾ ¿ BÒ ¦ lDÍ Ð ¦ lB> ¾ ¿ B#D Ü. B 2. 2.25. Ü. 13 Ð Ñ 5 ! `J <=5 `<=5 ! > a b c d e f g h 7 i < =5 ! > a j ' k , -lm<=5 ! > a b c n o 2 p q <05 ! r 8 s t u #> @X V < 1 2 3 4 o e 567 x<B : ^ _ v #Dî± j #1 2 3 4 ³ ¦ l67 xDB~, ã ¸ # ü ! ! [ > @A ; ØÎ ° ½ k 8 ° ] o ° Ï Ð 67 xB#J . `#Ð ! `J. 4.6 . / 0 1 2 3 < = !. 12 ' ( ) * + , 5 6 7 8 9 : 2 2 % &. * 5Q> @67 [ \ #KW<³ ê y 567 x< ¼ Ý Q ¾ V ¿ $% Y Z} +. u
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(71) ´ µ. u " ü ý ´ ¶ ´ ¶ r ´ ï } ` ö 2.870Ç 0.460 1.586 1.205 26.543ÇÇÇ 26.451ÇÇÇ 3.202Ç 12.057ÇÇÇ. ç è É è. 67 j \. Ü. 12ó = > ? > @#A ; ¾ á `#Ð Ñ S ^ ó = > ? > @#A ; B ¦ lDÅ ! `J º > ? > @¸ g #» B B] D. Ò R. 14 = > R · ¸ U 0.786. . 1. 1. 2 3. 4. o e. 67. 13 . ç è. b é 3.693ÇÇÇ a>b . a ` è ANOVA . ç ´ a 0. t ä8 . ç ´ a 0. t ä8 . ç ´ a 0. t ä8. tÆ å æ ê ë ì ^. tÆ æ ¼ ú û . ç ù a 0. å. tÆ æ. . ? 4 @ A . R2 . . . R2. 0.618. ! ". 0.594. ¯ #. 0.93. . +. O ,. %. 9 %. í õ. î ï. ð. `. ö . . ÷. ~ . ´ ¶. â. ¢ ` è 7.849ÇÇÇ a>b, a>c. ñ b ! 5.456ÇÇÇ a>b ô b ! 4.357ÇÇÇ a>b ø b ! 2.624Ç a>b b ! 2.106Ç a>b. B 4 C D = > % & @ A . u % & ' 189.464 3 1268.469 1981 1457.934 1984. 16 = >. u. u % 63.155 0.604. B 4 C D. ¯ " . U B/ ! ¯ " # Æ 0.03580 0.518 -. c. å. . t ä8. è b. è FÆ Scheffe ê ë ì ^ í . tÆ å æ ê ò ó. $. É. tÆ å æ. t ä8. 15 = > . ; < $ % &. a . [. xB#Dv. . z u. x a 67 [ \ j ; v b 67 W c 67 [ \ j ì v . ô. . . Þ. U. 0 1 : 0 1 ò 2 0 1 ò 3 : ò. F( ) * : 98.630ÇÇÇ 0.000. = > E ¯. . " . U Beta ~ . t 0.069ÇÇÇ. 0.400. 0.108. 0.391. 3.712ÇÇÇ. 0.135. 0.023. 0.132. 5.780ÇÇÇ. 0.513. 0.129. 0.506. 3.977ÇÇÇ. ¾ V ¿ + 67 x 0.391 67 [ \ j ; v ½ 0.132 67 [ \ j ô W 0.506 67 [ \ j ì v 0.0358 ¾ V ¿ 0 u Y ¾ #[ \ Ü. 14E0 ¦ #[ \ Ü 16î. 15=16 j 567 [ \ j ; v <=567 [ \ j ô W<0567 [ \ j ì v < ", o e Q567 x<# 3 . ^ _ ¨ 5 (F=98.630, P<0.001) ± ", o e j ] · 3 567 x<$~® ¿ ; 0 v #u Y þ 0 ¦ . . . . . . . .
(72) R=0.786(. 14)¶ o e 567 x<ã * 0.786Eþ « ¦ R2 * 0.618ü ± ", o e j À 567 x<o D2 # 61.8%þ 567 [ \ j ; v <=567 [ \ j ô W<0 567 [ \ j ì v < ", o e 3 4 5 & ¦ # t g . ^ _ ¨ 5 u w * 3.712(p<0.001) = -5.780(p<0.001) 0 3.977(p<0.001). ± ", o e ] · 3 567 x<. 67 xÁ xp
(73) & p q #¤æ $p 8 m 67 1 #( . 67 Ï Mp * #E(5)ÃÄpk;>@67eBdn o pq p 6( ¾ R. È É >? >@N F no 2 pq ] o °. $ % v , w & X ¢ 2 E(6)> n à ÄH N Ê ç ó = >? >@ { ;ë ñ X V Ü ± Ð º æ $ H N Q 67 1 I Ñ 0 A ;Õ ù Ð w ¬ Y . / H I
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(75) J >@¬ ¡ 7;Ð<} Ñ ;2001.11.15 Ï Ð ? 4 5 ;б ISSN+1609-2503 . (~) , -. / 01 2 3 4 o e 56 7 8 9 : ; <=5> ? > @: ; <05> @A ; % *<BC D. [2] «. (|) FG=HIJ K=HIL M=HN O P=HN QR S B> #T U V W0> @X V Y Z , -. / o e 5Q> @67 [ \ # KW<B] ^ _ D. [3] . (") ! h 7 i = ! b c n o 2 X V 1 #KW<B] (~) . HN O > @X B] ^. `J = ! > a b c d e f g > a j ' k , -lm= ! > a p q 0 ! r 8 s t u > @ 2 3 4 o e 5Q> @67 [ \ ^ _ D. v w =FG=HIJ K=HIL M= P=HN QR S B> #T U V W0 V Y Z , -. / o e 567 x< _ D. () f g h 7 ! > a b c > @X V x<B] ^ !. `J = `= i = ! > a j ' n o 2 p q 0 1 2 3 4 o _ D. !. > k e. !. b c d e , -lm= r 8 s t u 567 . 5.2 @ A *Ï Ð
(76) ! { +(1) & l 67 ` ó = X V # 2 ÃÄ l 67 `. Ê ó = 1 æ # Å X V ¬ Æ Ç È Ä É B ÃÄ. ¡ É æ E µ Ê É Ä ! v ó = 1 f Ë Ì ç 67 { ; # 2 Í Î b Ä !. 67 u > @X V ÃÄ x(2)r 8 0 A & s t. Ê ç æ$ 67 1 #: ; Õ { ; ¤$Å b Q> @67 [ \ #KW067 xE(3)H ë ! 67 1 ¼ ¥ ¦ 8 ¦ × ½ 9 #> @A ; ØÎ R . È É > @' k ! g h 0, -ã ä 7 i æ$ 2 Õ E (4)b p . . <. J . . Õ. Õ. 2001>? ; Â S Î Ö / . [4] . Ö
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(82). © Ü. v ¤. . ó . =. . 0 p. 2004>? >@ 67ß Ò à 1 ¸ 67õ ö Õ Ö / . © ª =« ¬ 1999Â ® ; 0 þ K W & ' Þ < 20 ;{ 67-100. . . . ¸ ?.
(83). S. >@A Ð. [10] Almeida,V., Meira, W. J., Ribeiro, V., And Ziviani, N., “ A Quantitative Analysis of the User Behavior of a Large E-broker” , International Conference on Advance Issues of E-Commerce and Web-Based Information Systems (WECWIS), pp. 38-45, 1999. [11] Conradie, D.P. & Jacobs, S.J., “ Challenges encountered when using ICTs (Information and Communication Technologies) in support of development in rural African communities,” Engineering Management, pp.30-33, 2003. [12] Damarin, S. K., “ The ‘Digital Divide’ versus digital differences: Principles for equitable use of technology in education,“ Educational Technology. 40 (4), pp. 17-22, 2000..
(84) [13] Forrester Research, “ Most Used Sources for Web Addresses,” [Online]URL http://cyberatlas.Internet.com/big_picture/traffic_p atterns/sources.html, 1999. [14] Hargittai, E., "Weaving the Western Web: Explaining difference in Internet connectivity among OECD countries." Telecommunications Policy 23, pp. 701-718, 2003. [15] Haywood, T., “ Global Networks and the Myth of Equality: Trickle down or Trickle away?,” Cyberspace Divide: Equality, Agency and Policy in the Information Society. Edited by Loarder, B. D. Routledge, New York, U.S.A, 1998. [16] Husing, T. and Selhofer, H., “ The Digital Divide Index: A measure of social inequalities in the adoption of ICT,” ECIS: Poland (Conference book), 2002. [17] Marchionini, G., “ A self-organizing semantic map for information retrieval,” in Proc. of 14th ACM/SIGIR Conf., 1991. [18] Tang, R. and Ho, J., “ Towards an Optimal Resolution to Information Overload: An Information Approach” , Proceedings of the 2001 International ACM SIGGROUP Conference on Supporting Group Work, Vol. 2001, September 2001, pp. 91-96, 2001..
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