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KUAS 報報報 報報報報 報報報 報報 報報報報報報報報報報報報報報報報報報 報報報報報報報報報報報報報報報報報報報報報報報報 報報報報報報報報報報報報 報報報報101 報 4 報 14 報

學習風格在數位學習環境中對學習成效及學習態度之影響- 以餐管科中式點心教學為例

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學習風格在數位學習環境中對學習成效及學習態度之影響- 以餐管科中式點心教學為例. 報 告 者:龔聰莉 指導老師:李明聰 教授 單 位:高雄應用科技大學觀光與餐旅管理研究所. 報告日期: 101 年 4 月 14 日. 報告網要. 研究背景與動機. 數位 相較於傳統教學,不單只在工具層面不同,更代表一種新的訓練和教育方式。 二十一世紀是以「腦力」決定勝負的時代。面對環境的快速變化,懂得掌握知識動向, 運用科技工具幫助學習 ,快速且有效的達成學習目的及提高學習成效,將會成為勝負關鍵因素之一。. 研究目的. - PowerPoint PPT Presentation

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1

101414KUAS2##4KUAS

5KUAS6

KUAS7KUAS#E-LearningE-LearningE-LearningE-Learning

9KUASEmamipourEsfandabad(2010)(Learning style)BrownKnight(2000)10KUAS()Kolb(1984)(Experiential learning theory)(Learning Style Inventory, LSI)(Diverger)(Assimilator)(Converger)(Accommodator)

11KUAS()HoneyMumford(1986)(Reflector)(Theorist)(Pragmatist)(Activist)Kolb(1984)HoneyMumford(1986)12KUAS13KUAS(1991)14KUAS(self-efficacy)15KUAS (Technology Acceptance Model, TAM)Davis(1989)(TRA)( Perceived Usefulness)( Perceived Ease of Use)TAM

16KUASChengSu(2012)(2006)(1)(2)

17KUASRahimiHassani(2012) (1996)

18KUAS19#

20KUAS-1 A.40 B.12 C.10 D.6 6

21KUAS-2() A.5 B.11 A.10 B.10 C.10

22KUAS(315)

23KUAS201112

24KUAS2011122531530095.2 %

25KUASSPSS 12.0tOne-Way ANOVA Pearsons Correlation 26KUAS#28KUAS29KUAS3022.7KUAS31KUAS32KUAS33KUAS -34KUAS -35KUAS -36KUAS 37

40~492.5%0.0% 2.5%50~595.0%0.0% 5.0%60~6912.5%1.6%10.9%70~7955.0%16.5%38.5%80~8915.0%48.6%33.6%9010.0%33.3%23.3%(1)(2)(3)(4)KUASPearsons Correlation()()()38KUASPearson39pp0.121*0.0360.190**0.0010.0970.0920.0970.0940.0900.1200.230**0.000-0.149**0.010-0.0830.151*p < 0.05**p < 0.01KUASPearson400.1000.0800.0900.1400.322**0.000-0.0810.1600.154**0.0070.220**0.0000.227**0.0000.120*0.038-0.159**0.006-0.124*0.0300.159**0.0060.0640.266*p < 0.05**p < 0.01KUASPearson410.347**0.0000.461**0.0000.0820.1580.406**0.0000.289**0.0000.194**0.001**p < 0.01KUAS t t 42KUAS t 43t p (Sig.)-0.280.29-5.195.000**-0.230.24-4.119.000****p < 0.01KUAS t 44tp(Sig.)-0.320.33-6.006.000**-0.080.09-1.450.1480.03-0.030.548.584**p < 0.01KUAS t 45tp(Sig.)-0.100.05-1.225.2220.43-0.194.768.000**()()**p < 0.01KUAS t tp(Sig.)0.19-0.092.515.013*0.04-0.020.470.6390.02-0.010.266.79146()()**p < 0.05KUASOne-Way ANOVA Scheffe(One-Way ANOVA)47KUAS48F

p (Sig.)

5-6(a)7-8(b)9-10(c)11(d)-0.290.08-0.060.242.320.0750.040.15-0.08-0.071.033.378*p < 0.05**p < 0.01KUAS49Fp(Sig.)Scheffe5-6(a)7-8(b)9-10(c)11(d)0.25-0.090.06-0.181.638.181-0.390.13-0.180.549.158.000**d>a0.450.04-0.140.003.328.020*a>c*p < 0.05**p < 0.01115-65-69-10KUAS50*p < 0.05**p < 0.01F

p (Sig.)

Scheffe5-6(a)7-8(b)9-10(c)11(d)-0.08-0.06-0.120.888.997.000**d>a,b,c0.030.08-0.05-0.040.311.8181110KUAS51Fp(Sig.)Scheffe5-6(a)7-8(b)9-10(c)11(d)0.21-0.390.020.457.325.000**d>a,b-0.150.00-0.161.0513.771.000**d>a,b,c0.350.15-0.25-0.106.216.000**a>c*p < 0.05**p < 0.01115-67-811105-69-10KUAS52Fp(Sig.)Scheffe(a)(b)(c)(d)(e)0.049-0.4430.139-0.9590.0004.663.003**c>a,b,d,e0.0030.230-0.015-0.1330.0000.147.932*p < 0.05**p < 0.01KUAS53Fp(Sig.)Scheffe(a)(b)(c)(d)(e)0.0500.160-0.057-1.0990.0005.766.001**b>a,c,d,e0.008-0.148-0.089-0.0880.0000.081.971-0.028-0.271-0.0720.7060.0002.371.071*p < 0.05**p < 0.01KUAS54Fp(Sig.)Scheffe1(a)2-3(b)4-5(c)6-7(d)8(e)0.2430.0950.066-0.379-0.1872.636.0340.770-0.078-0.1840.0690.1134.182.003**a>b,c,d*p < 0.05**p < 0.0112-34-56-7KUAS55Fp(Sig.)Scheffe1(a)2-3(b)4-5(c)6-7(d)8(e)0.4700.015-0.1630.070-0.1571.857.1180.7740.0340.151-0.460-0.3357.349.000**a>b,d,e-0.377-0.088-0.2130.6630.1357.414.000**d>a,b,c*p < 0.05**p < 0.01 12-36-786-75KUAS56

tRtR4.5400.000**0.2047.4080.000**0.204-0.8660.3870.1487.0800.000**0.1480.0600.9530.0704.6900.000**0.0706.2070.000**0.1382.9440.003**0.1381.8690.0630.018-1.3660.1730.018**p < 0.01KUAS57

tRtR5.1500.000**0.2167.4420.000**0.21613.7290.000**0.50210.5040.000**0.5027.1640.000**0.1662.7620.006**0.1661.2820.2010.2429.6600.000**0.2426.2940.000**0.1392.9110.004**0.139**p < 0.01KUAS#

59KUAS

60KUAS

61KUASPearson62KUAS (1) (2) (3) (4) (5) (6)

63KUAS164KUAS2

65KUAS3(1)(2)(3)66KUAS67!

KUAS

H1,H2,H3,H4

H5,H6

H7,H8

H9