行動學習評量與成效分析－以高職電腦軟體應用乙級課程為例

全文

(1).

(2) 1.

(3) . 1 2 1 2

(4) {kung,joey,m9456017}@mail.npust.edu.tw. $ %

(5) E-learning

(6) !M-learning" # $ % & ' ( ) * + ,-. / 0 1 2 3 4 5 6 7 89 : ; < = 7 Personalized and Adaptive Mobile Learning System, PAML > ? @ A B AG !C D E F G H I G JK 7 JL M N O P Q R S T 7 $ US T ,-. / * V W X% YZ[ \ ] 1 > ^ _ ` W a = + b, 2 > ^ _ ` W a = Q R c d , 3 A B e_ ` a = W f g Uh i $ U, 4j M 7 g k l m n ,o p. > q b% r s t u v w A B xy z { C q bo p |} ~ N e ! ZY o h i $ |U , ] l m n. $ =. Q. R $. U. Abstract With the popularity of mobile networks and the increased computing capability of mobile appliances, the mobile learning with provision of multimedia presentation and multiparty interaction operation certainly becomes the main trend of the Electronic learning. The thesis improves the previously developed system, which is the Personalized and Adaptive Mobile Learning SystemPAML, to design the mobile learning system using AG technology and mobile appliances. This thesis achieves the further assessment analyses and learning analyses for students to prove the effectiveness of this study. The main goals of thesis are the following four items.1Design the suitable mobile learning procedure for the specific courses. 2 Design the effective assessment mechanism for the specific courses.3Apply the designed mobile learning procedure and mechanism to different attributed courses to improve the learning effectiveness. 4 Evaluate and analyze the performance of the designed the mobile learning system. The experimental course is class B of Computer Software Application Technicians for the. . ! " #. Senior Vocational School. The evaluated results prove that students really improve the learning performance under the assisting of the designed mobile learning system.. Keywords: Mobile Learning System, Learning Effectiveness, Learning Satisfaction, Web-Based Formative Assessment. 1. & ' ' ! ) P $ % g o B 4 5 , ' ¡ ¡ ¢ £ _ e U-biquitous LearningU-Learning¤ % ¥ !¦ § ¨ ©\ ª « V ¬ e 2003 ® NICI ¯ ° ± ² ³ ´ h µ ¶· ¸ A B ¹ > º M-Taiwan[1]»¼ ³ * ½ ¾ % ¶ ¿ À » ¶N Á » ¶»[9]Â Ã E M-Learning Ä W 3 !Å Æ Ç È É , Æ Ç !Ê ( ) Ë Ì Í ; ©9 k 7 A Î Ï Ð !Æ Ç A B ,e$ % ± Ñ Æ Ç ± ( Ò 6 Ë V L M $ Um Ó P ©Ô Õ ÖY6 $ U× Ø@ eÙ-4 5 > 6 7 ` P E F G H I G q bÚ Â O Q R S T Û Ü Ý Þ Õ Öm Ó , -4 5 6 * V W eD > r s t u v w A B xy z { C q bJS T 6 0 1 2 3 4 5 £ > 6 9 : ; < = 7 Personalized and Adaptive Mobile Learning System, PAML [3] $ % ß + ) 7 Stream Mobile Learning System, SML J

(7) B SML 7 . > Q R + bY à Zá ¼ 9 * V W X]1 Ý 5 N eO Ä â h ã $ Uä2 Ý 5

(8) B D E F G H I G q bh i $ U6 × Øä 3Ý 5 7 l m n 7 l m n ,. 2. ( ) * 2.1 .

(9) ÖYt u , - ( ) $ o ¶ »å E-LearnigÂ æ ç Æ è W [10],Æ + b?? ? 2] é ` Ô P ê ¨ ë ì ` Ô ,íî Öï % ¶t ð » electronic learning ¶t ð ñ w » electronic media based learning å ¶ ! C ò Ò ». technology-based learning ó t u ô. õ t ð ñ ö ÷ E F å!ä ' ø ù % ¶ »å¶ »Ä ó ú B û !ü ý Ä û å þ YP Á [4], # $ % ' g ª { Ó g ÷ _ ` Y Ö× ØeD Â _ ` 6 Y Ä ! mobile ! " computingô Ä ´ ? 1 Æ ò ) Æ + b? e

(10) 6 [11], íD e!C A B % % 6 © ¾ = = S ü . à anytimeanywhere,j 6 í 0 ! " í#[5] $ % ? # 1, ;. B C. ` Æ. à. #1 . . . . í#.

(11). . . .

(12). N. . N. . Y. ?2 , -. . ) Æ. . + b?. 2.3 2.2

(13) t u CAI Ä Yt ©÷ Æ ( ) ê _ Ä B ' Æ ò ) t u Æ >. (©) Æ ò ). Computer Assist Instruction u ' P Æ & N ,' B ' ©( ) Æ _ ) * ©( ) Æ ,YZ+ q bY Æ > C q bY, - ) t u . ÷ t u Æ ( ) Y ~ , Æ. t u. . Æ. . £ / Æ ò ) t u Æ % h i t u 9 ý ; Æ U|eÆ 0 1 2 º ¢ Å w 0 1 S 3 $ 9 ð æ Í Jh 4 j 5 6 7Ê j 8 { 9 : ; < = ©S > [8] Æ + b? ? 1 £ @ , Æ. () , -. o % g. ). t u. . Æ. Q R Ä Æ bS K V ©T ' U V j j K V X Y e bZ [ \ ò Æ à ( Ò J ] Ä Æ 6 K V ^ _ ,` a b % Q R c d B ( NJÌ ( e f < g h o i j k l m R X nY íS T 4 o ©7 á b[14],p q r ¢$ UQ R s % ©÷ Q t F b u ; = v e f Ì ( i ' Q R j U |JÚ Ã I % q bYÆ ( N0 1 w x [8], F bÄ j by z [17] ¢. { i YS T $ % $ UQ t x | ù % F bQ R [14][15], W. . , - ) t u Æ Ä h 4 j ©9 A B CYD à E F © G % H åI J H å bK % U|,K eD Ê j M L M NO P à å Q à % H et u R Q Õ. Æ. 3. ! " + , 4 5 W M r s. > 4 5 + xy q b} ¢N S % T N¢N P ~ m n ,. % Õ ÖÚ Â N e Ä â g & w 4 5 W bJd B 7 o I N¢t u v w A B B ë SML 7 äo p > N ¼ ° P S ° Æ JP Q R ä x S 3 O ª i P S T n Õ Öj l m n 7 l.

(14) 3.1 w x 4 5 W SML 7 ´ S % 9 S ]v w q b > w 7 T C´ - ö w 7 ? ? 3, -4 5 6 Ä Y I % g GPSWiFi WLAN õ ( ) P Ü SML 7 P Ü 7 6 3 J 2 P à -7 < A ¿ . eLMSmLMS ô eLCMSmLCMS ¿ h 4 < Æ è ,. ? 4 SML 7. ? 3 SML 7 . . . ?. SML 7 * V Ä 0 1 9 : ; < = 7 6 _ ) Ã e* V ô PAML Ä A ³ ü h 4 j e AG T CZ ß + ¿ P ` Ô é ` Ô JeÅ w * V Â [ 9 £ ° $ , 0 1 ¿ ß + ¿ < A ¿ ô AG T C,0 1 ¿ * V B D ô l 0 1 äß + h 4 Ì ñ w ß + ; Æ è ô ¿ À ä< A ¿ o t j B 6 L M _ ` h 4 < 0 1 Ê j _ B Ë 0 @ { ¾ B _ ` P äAG T Ch 4 ` Ô T C,. 3.2 -4 5 + bS % ÷ ( ) [13][16]©% ¾ ` Ô + b?? ? 4ä % ß + é ` Ô + b?? ? 5j Ú Â P Ü SML 7 2 Â < A ¿ Adaptive Learning Server7 o t 6 ü \ ò à < g i nÂ j 5 6 \ W åC å d B Æ ò ) t u Æ NC d B , - ) t u Æ NC q b -7 ß + ¿ Media Server AG !C ¡ U|,. 5 SML . . . . . . <¾ `. < .

(15). >+ b? Ô. > . . 3.3 q b+ bÄ w t u N ò ) t u » > ,t u v w A B xy k L g ¢ { k £ ¤ ¥ ¦ § Â Æ ¨ > 2 © Q > c . õ ª - ª g ) « Ö . ÷ - S < Æ ò ) t u Æ ( ) j Â K ¬ l Öy P ê ; $ E F , ¶Æ z {. (©) Q R > Q R d B ® = Q R % * Y $ R ä3 j % S T $ U 6 w x Ä Y j o £ Q 6 $ ¯ I % S T äO j % Õ ÖÃ 7 M D 6 ° ± Y $ = Q R ² S S T bM $ U° ± , £ / $ = Q R ² S \ B ³ ´ õ : £ h 6 Q S ( ) [2]]7 µ 2 J w x N ¶ I · B ¸ > ¶æ Q S (Item Score, IS)» Q S ( ) ? Z] £ / $ = Q R ² S \ B ³ ´ õ : £ h 6 Q S ( ) [2]]7 µ 2 J w x N ¶ I · B ¸ > ¶æ Q S (Item Score, IS)» Q S ( ) ? Z] =. Q.

(16) (©) o p. ……………...¹ ) 1 ê £ g W IS O J ® º ' $ ² S (Accumulated Score, AS)? Z£ @ ( b) n % » Isn % ¼ n ¶æ Q S (IS)» ]. ………………..¹ ) 2 -4 5 w 7 > Ü ¬ æ Ã ¾ 6 % 9 : % Î æ Í £ g ¿nÀ 100 ² S 1. ü = Q eÎ j Á Â. 0 Q S > ( ) S _ ½ 0 ² S æ Í 6 ® 6 æ Ã ¹ ) ? Z]. . M H. -4 5 I M H % Î g 96 Ø N er A B xy z { k £ £ g Û t u v w A B 6 w A B Ý y z { Þ ß , Ã M H Yà xÝ ¼ á % Æ NSML 7 N SML 7 . %. #2 o p. Õ Ö × ©r s l Ù Ú V j t u v w £ j eP o p 6 3 f ª q b Ü Q t u v ¢Ã N { % 4 5 æ S ° S ý W Y 6 Ê Æ Æ N? # 2, Ô. ¼. S °. #. .…………….¹ ) 1 ……………..¹ ) 3. 4. - . / 0 . /. 3.4 () T. CZC. , -. ). +. b. Y SML 7 z ° c d ¢ q H I bz Ä Å D 7 ß + ¿ j 5 6 é ` Ô Æ z Ä 6 H I ß + s ÇK ¬ È H I b à É È ,B SML 7 ¾ Ê ¾ Ë AG Venue Client Ì ¨ P H I Æ @ ¤ äå ` ¾ R Q ` Æ ò ,È b j ¢È I Í Q S nÂ Æ ¨ ~ Ä â H I bg Î K ¬ H I È nÂ Æ ¨ P o H I Q R ,. () C Q. R >. C Q R Ä d B o I Q R % * Y $ Q R äê C $ = Q R ² S Ü ¬ æ Q S ¾ æ ©Ï Ð o I Q S ê ² S % ¶ © ° £ g Ï Ð Ñ £ Q ² S Ã ¾ 6 % 9 : Î ° 6 ® % Î ° £ g j 6 æ % ¿nÀ 100 ² S 1 Á Â Ã ¹ ) ? Z] ………………..¹ ) 4 =. 3.5 . . . Ò x -4 5 o p Æ Ý Þ 1Ý 5 N 2Ý 5

(17) B h ã $ U6 7 l m. SML 7 > g ³ K ]©% 8â G t u JB ä% q b8E F G H I G q bJK , Ã 7 H I. > Ê ã ä M D B -7 ° ± ² S K V ,. 4.1 ! " (©) 7 ´. T. S. -7 å · ´ e Microsoft Windows Server 2003 ¿ i ¦ ¿ B Microsoft SQL Server 2000 0 ´ D Microsoft Windows Server 2003 ß + ¿ ö æ ç Yè v HTML ASP % * O é i ¦ l 7 ´ J ê N ë ì J IIS6.0 g I Web Server,. () 7 Ê. S. T. -7 w Ê = S $ í ³ 7 7 S î Z](1)Adaptive Learning Server < A ¿ < A ¿ Z [ o t B j . L M _ ` h 4 < 0 1 à _ S ,(2)q b l 7 d B Çï l , ) q b l 7 Z [ C q b6 ± 0 ôð ñ õ l À ,,(3) 7 Ã 7 ………………..¹ ) 3 % 7 w æ Í ò ó ô q b * V Ä Y` õ Ç( ) $ % h 4 j K ö ö ,(4) p 7 L M p 7 w Æ ¨ { ¤ ¥ ÷ µ j e p 6 4 5 W ª / Ó Ý Þ > ¾ Q à ) ^ _ \ ò Jy z p |Æ ¨

(18) B -7 6 $ U] ø ` Ô ù k åé ` $ ¯ ú ,(5)ß + eO Ä â h ã $ U, 7 Â Æ ¨ 2 ¢ q bz Ä S ý Ç% < D E F G H I G q b â G t u ô PDA Æ WMV s × Ø, 3Ý 5 j M Çn´ D ß + ¿ 4 j Æ K ¬ n , ,(6)F bû z 7 7 B ü ý c d Z ?.

(19) y z N e B ¸ * V y z N M Æ è þ õ h 4 Æ ¨ ú N p $ ¯ F by z õ Õ ÖN æ Í B ,(7)AG 7 7 6 ` Ô Ä A B WEB-AG !C %

(20) 6 ` Ô s B j # s ³ » JZ AccessGrid b) ( B ã 2 J H I AG T C( e AG Z` Ô Ã Ê

(21) â G t u , [. D. - S T e_ ` $ U × - T z { $ ]$ Ø H0 ä$ H1 Q à x ? #4 3. , ØB . 3 #4£. O. ) ZÛ £ N exv k p ( Nd B $ M 3 O % $ ¯ L g × O % $ ¯ g & × Ø @ ,. $ . 6 ¯. $. M. -tz . {. 4.2 # $ ! " -4 5 g 96 Ø Û £ N f bj $ ª ~ p Ã Q o -% 96 ,-4 5 B SPSS10.0 > P S T ,. Æ w. (©) - i S. o p g U } v. Â °. Y $ z { |Q ? Z . ¼ 3 O $ ¯ g & × ØO D 3 f g ª ,. ý. . r. T. . . . . i. Y î = > #S T ¢ S (N) S (%)#@ Ú YÕ Ög - i ü = ? # 3 £ @ ,. . % -6 . U. 68.00. £. N. - . ü = i. 62.74. 70.00 60.00 50.00. . #3 Û. o p S.

(22). 68.10. . 9. #. 32.32. 40.00. 31.55. 30.81. 30.00 20.00 10.00 0.00. E. . . ?7 . ?. o. A p. g. B. t ª. ? 6Þ ß Ü Q " µ N = S g & u å í _ # ° ± o p . g t u $ % Ð T C A M D E ; ° ô M ; ° ° § A á y ! " = , . 3.5. 2.5 2.0 1.5. 2.002.00. 2.00 2.00 1.90 1.71. 1.911.85. 1.64 1.44. (¼) _ - $ N Y £ @ , `. T U Õ Ö S. ,. ). _. ` × . . . 3O. $. ¯. Y ?#@ ? ? 7 ° ;° (37.19) >E ;° (36.55) > o p 6 SML 7 M ;° B Æ N ° M ;° e ± ! ( ) c Z B E ;° Y h i N c P ê. 2.77. 2.71. 2.47 2.12. . $. '? h i × Ø % (30.42) B E ;° #% K B #% K D L g ± ! P * $ ¯ #%. M. ¯. °. Z C $ U , ) Z Û £ Ø B k p ( N , ) M Û £ N . 6. × N d B ° ±. D B ,. Ø S T e x v C í å ? # 5. 3.16. 3.00 3.0. M. . 2.00 1.97. #5 C. 2.00 1.84 1.87 1.74. 1.39. 1.29. $. ¯. å . . . í. #. 1.97 1.94 1.35. 1.0 0.5 0.0. . .

(23) ! * ! + * - . ! + . () _ ` ØS T. ,. . . . ". #. $. %. &. *. . . . . . . . . . ,. . . . . ' ( ) . Â. . ? 6 - i S T ? ) Z $ U3 O 6. $ ×. p ¯ ;°. D. C Ä Ã _ W S T N (59.68) > . a. D H I G q bã V O ( 3 'O Y j O £ Q å $ ¯ #% % M ;° (64.84) >E ° (31.76)Y ?#@ ? ? 8, +.

(24) 3 4 (. . [1] M ·¸. 64.84 70.00. 59.68. 50.00. . 31.76. 40.00 30.00. . . . . ?8 C. . $ ¯. °. $ ê . T C & . ([) . 7. . m nS. M ;° E ; Ä g & #% K D E ;° E ;T C ñ 7 j % - Ã ] . % . Ä l. n \ 7 . . T. [4] ; ? ? “ % ¸ & ' ¨”?@ A ¼ 30 :¼ 92-106 ì2004, [5]. ! " “$ : D]¨ ³ @ E 2000,. ! K “L M N O M-Taiwan > º ” 48-50 ì2005,. [7] J. Õ. # 6 . [3] ; ~ < “9 : ;< = c d 6 > ´ ”Ô Õ ! ³ l 7 = > . /2005,. l m. nS T. ”$ :. B. C ,·. [6] F G H “t u Æ > , ) ”Æ Ç t ð > c I ` ¼ 27-33 ì1996,. . c U. l. . Ö E ;° M ;° N M D SML l m nB B ~ J ¢ | x S T | ? # 6 £ @ ,- ~ £ Q . n % 0.8857N M D l m n N Å w ê Ò ` m å % 2.13 Y g $ m n r Å w N å % 1.85, M ;° ñ M SML 7 q b2 © 1 Á ` m Ò K D E ;° / M D SML 7 l m nf § 0 D E ;° 1 Y M SML bl m n× Ø ³ , %. . . '?. î x B SML 7 ¯ SML 7 M D C B M ;° M ;T C M & K D > - , M ;g $ U B $ U , Â. º. [2] ³ ð ´ ³ ´ ³ 3 4 5 Ñ 6 “_ ` $ = Q R , ) M N 6 U 7 Q 8 ” Æ Ç 9 ¼ 12 ¼[:¼ 469-490 ì 2004,. 20.00 10.00 0.00. >. http://www.nici.nat.gov.tw/content/application/nici /general/guest-cnt-browse.php?cnt_id=371 ® ¥ . ¨¹ ¯ ° 2004,. 60.00. #. ¦ Y t u ¼ 303 :¼. [8] p q r “P * Q È $ U Q R 6 4 5 ” ·¸ ¨ ¤ ³ * ! Æ Ç 4 5 £ = > . /2002, [9] ` a “Æ Q R R ø ( N ” D 5 S T * óÆ R l ·D]¨ ³ @ E ¼ 393-422 ì 1996, [10] U V W “, - ) t u Æ q bv w ¨”Æ ! ñ w ¼ 42 :¼ 50-54 ì 1998, [11] X Y ? Z I [ \ ] “ 6 { Ó V ¬ ”Æ ! ñ w ¼ 70 :¼ 4-14 ì 2004, [12] X ß ! ^ _ ? “PDA e A B ” 5 ` õ ¼ 46 :¼ 153-159 ì2004,. 5. 12 - 4 O D E F 3Ý näJ Ò O Q à - 4 j e H SML q b bY l m. 5. . â. G. . 5. x. 4. x 5 I. Ý Þ 0 1 ? Z ] 1Ý 5 N h ã $ U , 2Ý 5

(25) B H I G q bh i $ U 6 × 7 l m n 7 5 | % Ò x o p > P T Y ~ l m n i S SML 7 o Y h E F G q b $ U J. 7 M D h i H I G E g × Ø H I G q bK D E F 5 6 SML 7 g 2 2 k 7 l m n,. * V. Ä. S 6. G $ U - 4 n. e. Ø , l m Æ T ã

(26) B F G G q k . [13] Chang, C.Y., Sheu, J.P. & Chan, T.W. “Concept and design of Ad Hoc and Mobile classrooms,” Journal of Computer Assiisted Learning, 19, pp.336-346, 2003. [14] Gibson E. J., Brewer P. W., Dholakia A., Vouk M. A., & Bitzer, D. L., “A comparative analysis of web-based testing ang evaluation system,” http://renoir.csc.ncsu.edu/MRA/Reports/WebBased Testing.html, 1995. [15] Mick O'Leary, “Distance Learning and Libraries,” Online. pp.95-96, July/August 2000. [16] Sparapani, E. F., “Portfolio assessment:A way to authentically monitor progress and evaluate teacher preparation,” ERIC ED398195,1 996. [17] Vavrus, L. “Put portfolios to the test,” Instructor,100, pp.48-53,1990.. . . . . . . . .

(27)