利用問題導向學習法於工程動態影像模擬之教學 期末報告 ·...

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國立臺灣大學教學發展中心教學改進研究計畫 利用問題導向學習法於工程動態影像模擬之教學 期末報告 計畫主持人:康仕仲 研究人員:莊智仁、蔡宛庭 執行單位:國立臺灣大學土木工程學系 三十一

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  • ii

    Problem-based learning

    Blender

    33.361.1%

  • iii

    ..............................................................................................................................1

    .....................................................................................................................4

    2.1 ...................................................................................................................4

    2.2 ...................................................................................................................5

    2.3 ...................................................................................................................6

    2.4 ...................................................................................................................6

    .....................................................................................................................8

    3.1 ...............................................................................................8

    3.2 .........................................................................................................10

    3.3 .........................................................................................................11

    ...........................................................................................................12

    4.1 ........................................................................................................12

    4.2 ................................................................................................................14

    4.3 ...................................................................................................................16

    .......................................................................................................23

    5.1 ..........................................................................................................................23

    5.2 ..........................................................................................................................24

    ....................................................................................................................................26

    ............................................................................................................................27

    ................................................................................................................................29

  • 1

    Problem-based learning,

    PBL

    (

    1.2)

    (Merrill,2002)

  • 2

    Blender

    Blender

    -

    Problem-based learning 1.2( 1.1)

    Blender Blender

    (Leinhardt,& Steele,

    2005)

    1.1 Blender

  • 3

    1.2 Blender

  • 4

    2.1

    2.1()()

    ()

    Blender

    Blender

    Blender

    Blender

    () Blender

    (1)

    (2)

    ()

  • 5

    2.1

    2.2

    96 97 Blender

    96 97

    2.1

    BlenderBlender10(

    )23()

  • 6

    2.1 Blender

    3

    3

    3

    3

    Blender

    2.3

    1. Blender:

    2. :3(111)

    3. : 9616(142)97

    35(29123)

    2.4

    2.2

    1. 200858

    2. 20088

    3. 96BlenderBlender

    200846

    4. 97Blender20081120091

    5. 2008620091

  • 7

    2.2

    2008 2009

    4 5 6 7 8 9 10 11 12 1 2

    96 Blender

    97 Blender

  • 8

    3.1

    Blender96

    97

    96

    3.1

    3.1 Blender()

    1 3

    ()

    ()

    2 3

    3 3

    IPO

    (Path)

    4 3

    (Path)

    (Infor WindowWorld Window )

    97

  • 9

    (1)

    -(2)-(3)-(4)-

    ()

    3.23.1

    3.2Blender

    1 3

    ()

    ()

    2 3

    ()

    3 3

    IPO

    (Path)

    4 3

    (Armature)

  • 10

    3.1

    3.2

    3.2

    (b) (a)

    (c) (d)

  • 11

    3.2

    3.3

    Blender

  • 12

    Blender

    Blender

    96

    97

    4.1

    Blender

    ()

    (a)

    (b)

    BlenderBlender

    (Modeling)(Material)(Animation)(Game Engine)

    Blender

    (a)(b)(c)

    (d)(e)

    (b)~(d)

    1 3 5

    (e)42

    0

    10

  • 13

    T

    T

    T (independent samples T test)

    T T

    T

    p 0.05

    T

    T (pair-samples T test)

    T

    (analysis of variance, ANOVA)

    F p 0.05

    F *

    (Correlation )

    correlation coefficient

    +1.00-1.00A

    BA

    B

  • 14

    4.2

    4.19735

    162.2

    9774.29%9668.75%

    4.1

    Frequency Percent Valid

    Percent

    Cumulative

    Percent

    97 Valid 29 82.9 82.9 82.9 1 2.9 2.9 85.7 2 5.7 5.7 91.4 3 8.6 8.6 100.0 Total 35 100.0 100.0

    96 Valid 14 87.5 87.5 87.5 2 12.5 12.5 100.0 Total 16 100.0 100.0

    Frequency Percent Valid Percent Cumulative

    Percent

    97 Valid 6 17.1 17.1 17.1 17 48.6 48.6 65.7 11 31.4 31.4 97.1 1 2.9 2.9 100.0 Total 35 100.0 100.0

    96 Valid 5 31.3 31.3 31.3 4 25.0 25.0 56.3 5 31.3 31.3 87.5 2 12.5 12.5 100.0 Total 16 100.0 100.0

    6.

    Frequency Percent Valid Percent Cumulative Percent

    97 25 71.43 71.43 71.43

    10 28.57 28.57 100

    Total 35 100 100

    96 10 62.5 62.5 62.5

    6 37.5 37.5 100

    Total 16 100 100

    8.

  • 15

    Frequency Percent Valid Percent Cumulative Percent

    97 10 28.57 28.57 28.57

    10% 8 22.86 22.86 51.43

    10-40% 10 28.57 28.57 80

    40-60% 7 20 20 100

    Total 35 100 100

    96 6 37.5 37.5 37.5

    10% 2 12.5 12.5 50

    10-40% 4 25 25 75

    40-60% 2 12.5 12.5 87.5

    60-90% 1 6.25 6.25 93.75

    10% 1 6.25 6.25 100

    Total 16 100 100

    48. PBL

    Frequency Percent Valid Percent Cumulative Percent

    97 1 2.86 2.86 2.86

    PBL 3 8.57 8.57 11.43

    PBL 26 74.29 74.29 85.71

    5 14.29 14.29 100

    Total 35 100 100

    96 PBL 2 12.5 12.5 12.5

    PBL 11 68.75 68.75 81.25

    3 18.75 18.75 100

    Total 16 100 100

    49. PBL

    Frequency Percent Valid Percent Cumulative Percent

    97 PBL 29 82.86 82.86 82.86

    10-40% 3 8.57 8.57 91.43

    40-60% 3 8.57 8.57 100

    Total 35 100 100

    96 PBL 11 68.75 68.75 68.75

    10% 2 12.5 12.5 81.25

    10-40% 1 6.25 6.25 87.5

    40-60% 1 6.25 6.25 93.75

    10% 1 6.25 6.25 100

    Total 16 100 100

  • 16

    4.3

    4.2

    4.2 Blender

    N Mean Std. Deviation t p value

    97 34 86.10 10.75 0.46 0.65

    96 14 87.13 4.70

    4.3

    4.1 Blender

    4.3 Blender

    (Modeling)

    (Material)

    (Animation)

    (Game Engine)

    97 2.94 1.97 2.55 1.93

    96 2.44 1.69 2.38 0.76

    0.5 0.28 0.17 1.17

  • 17

    4.1 Blender()

    4.4 2D CAD

    9745.71%

    9656.25%3D Sketch up97

    96

    Blender97

    96

    5

    blender

    4.4

    12. 2D CAD

    Frequency Percent Valid Percent Cumulative Percent

    97 7 20 20 20

    16 45.71 45.71 65.71

    10 28.57 28.57 94.29

    2 5.71 5.71 100

    Total 35 100 100

    96 3 18.75 18.75 18.75

    9 56.25 56.25 75

  • 18

    4 25 25 100

    Total 16 100 100

    13. 3D Sketch up

    Frequency Percent Valid Percent Cumulative Percent

    97 9 25.71 25.71 25.71

    20 57.14 57.14 82.86

    5 14.29 14.29 97.14

    1 2.86 2.86 100

    Total 35 100 100

    96 6 37.5 37.5 37.5

    8 50 50 87.5

    1 6.25 6.25 93.75

    1 6.25 6.25 100

    Total 16 100 100

    14. Blender

    Frequency Percent Valid Percent Cumulative Percent

    97 7 20 20 20

    13 37.14 37.14 57.14

    14 40 40 97.14

    1 2.86 2.86 100

    Total 35 100 100

    96 3 18.75 18.75 18.75

    8 50 50 68.75

    4 25 25 93.75

    1 6.25 6.25 100

    Total 16 100 100

    15. Blender

    Frequency Percent Valid Percent Cumulative Percent

    97 4 11.43 11.43 11.43

    15 42.86 42.86 54.29

    9 25.71 25.71 80

    5 14.29 14.29 94.29

    2 5.71 5.71 100

    Total 35 100 100

    96 4 25 25 25

    8 50 50 75

    1 6.25 6.25 81.25

  • 19

    2 12.5 12.5 93.75

    1 6.25 6.25 100

    Total 16 100 100

    50. Blender

    Frequency Percent Valid Percent Cumulative Percent

    97 2 5.71 5.71 5.71

    40 1 2.86 2.86 8.57

    20 4 11.43 11.43 20

    10 9 25.71 25.71 45.71

    5 16 45.71 45.71 91.43

    1 3 8.57 8.57 100

    Total 35 100 100

    96 40 1 6.25 6.25 6.25

    10 6 37.5 37.5 43.75

    5 9 56.25 56.25 100

    Total 16 100 100

    () Blender

    4.5 Blender

    Blender

    4.5 Blender

    96 97 t p

    Mean Std. Deviation

    Mean Std. Deviation

    9.

    1 2 0.73

    2 0.97 0 0.24

    2 2.31 0.95

    2.43 0.92 0.42 0.85

    3 2.06 0.85

    2.14 0.65 0.37 0.47

    4 2.94 0.77

    3.06 0.91 0.46 0.19

    5 2.25 0.86

    2.4 1.01 0.52 0.72

    6 2.63 0.96

    2.43 0.92 -0.7 0.95

    7 2.69 1.01

    2.8 0.8 0.43 0.2

    8 2.06 0.77

    1.89 0.72 -0.8 0.86

    9 1.63 0.72

    1.6 0.55 -0.14 0.12

  • 20

    10 2.63 0.72

    2.71 0.93 0.34 0.22

    11 1.88 0.81

    1.91 0.78 0.16 0.89

    12 1.81 0.66

    2 0.73 0.88 0.75

    13 2.94 1

    2.71 0.93 -0.78 0.96

    10. Blender

    1 2.19 0.83

    2.77 1.09 1.9 0.86

    2 2.88 0.96

    3 0.87 0.46 0.38

    3 3.38 0.89

    3.34 0.91 -0.12 0.4

    4 2.44 0.89

    2.69 0.99 0.86 0.69

    5 2.44 0.89

    2.83 1.01 1.32 0.38

    6 3.13 0.96

    3.06 0.91 -0.24 0.92

    7 2 0.52

    1.89 0.72 -0.57 0.09

    8 1.69 0.6

    1.89 0.87 0.83 0.57

    9 2.56 0.89

    2.66 0.94 0.34 0.94

    10 2.88 0.81

    2.69 0.87 -0.74 0.29

    11 2.56 0.89

    2 0.64 -2.56 0.01

    12 2.06 0.77

    2.46 1.07 1.33 0.04

    :

    () Blender

    Blender

    4.6

    Blender

    4.6Blender

    N Mean Std. Deviation Correlation

    97 35 2.31 0.54 0.61*

    Blender 35 2.6 0.63

    96 16 2.29 0.54 0.76*

    Blender 16 2.52 0.57

    *p

  • 21

    Blender

    4.7

    Blender

    4.7

    N Mean Std. Deviation t

    97 29 2.3 0.58 -0.34

    6 2.38 0.37

    Blender 29 2.67 0.63

    1.41

    6 2.28 0.57

    96 14 2.36 0.55 1.27

    2 1.85 0.33

    Blender 14 2.55 0.57

    0.58 2 2.29 0.77

    *p < 0.05

    Blender

    4.8Blender

    4.8 Blender

    96 97 t P value

    Mean Std. Deviation

    Mean Std. Deviation

    1 2.56 1.09

    2.86 0.69 0.99 0.01

    2 2.88 1.09

    3.2 0.76 1.23 0.31

    3 3.25 0.93

    3.11 0.93 -0.48 0.67

    4 2.75 0.86

    3 0.97 0.88 0.75

    5 3.63 0.72

    3.37 0.65 -1.26 0.74

    6 3.75 0.68

    3.37 0.65 -1.91 0.98

    7 3.44 0.96

    3.29 0.71 -0.63 0.26

    8 3.75 0.86

    3.66 0.64 -0.43 0.25

    9 3.13 0.89

    2.91 0.82 -0.83 0.68

  • 22

    10 3.38 0.96

    3.17 0.79 -0.8 0.23

    11 3.69 0.95

    3 0.94 -2.42 0.47

    12 3.63 1.15

    3.09 0.92 -0.0125 0.12

    13 2.38 1.09

    2.2 0.8 -0.65 0.18

    14 2.88 1.02

    2.69 0.83 -0.7 0.53

    :

    ()

    4.9

    4.9

    ()

    97 (17)

    (9)

    96 (9)

    (5)

    () BlenderPBL

    4.1080%Blender

    PBL

    4.10 BlenderPBL

    Frequency Percent Valid Percent Cumulative Percent

    97 30 85.71 85.71 85.71

    5 14.29 14.29 100

    Total 35 100 100

    96 13 81.25 81.25 81.25

    3 18.75 18.75 100

    Total 16 100 100

  • 23

    Blender

    96

    97Blender

    5.1

    Blender

    96

    33.397

    61.1

    5.15.2

    5.1 (Armature)

  • 24

    5.2 (Game Engine)

    5.2

    1.

    (Lab)

    (Lab)

    2.

    (5.3)

    Guidance

    Reference

  • 25

    5.3 blender

  • 26

  • 27

    1. Campbell, M., & Cheng, H. H. (2007). Teaching computer-aided mechanism design

    and analysis using a high-level mechanism toolkit, Computer Applications in

    Engineering Education, 15(4), 277-288.

    2. Djordjevic, J., Nikolic, B., Borozan, T., & Milenkovi , A. (2008). CAL2: Computer aided learning in computer architecture laboratory. Computer Applications in

    Engineering Education, 16(3), 172-188.

    3. E. Mart, D. G., & Huang, C. J. (2006).A PBL Experience in the teaching of computer graphics. Medical Education, 25(1), 95-103.

    4. Hmelo-Silver, C. E. (2004). Problem-based learning: what and how do students learn? Educational Psychology Review, 16(3), 235-266.

    5. Leinhardt, G., & Steele, M. (2005). Seeing the complexity of standing to the side: instructional dialogues. Cognition and Instruction, 23(1), 87-163.

    6. Licea, G. J., Jurez, R., Martnez, L. G., & Aguilar, L. (2008). Developing programming tools to reach a deeper understanding of advanced programming

    concepts. Computer Applications in Engineering Education, 16(4), 305-314.

    7. Mandal, P., & Wong, K. K., & Love, P. E. D. (2000). Internet-supported flexible learning environment for teaching system dynamics to engineering students.

    Computer Aid engineering education, 8(1), 1-10.

    8. Merrill, M. D. (2002). A pebble-in-the-pond model for instructional design. Performance Improvement, 41(7), 39-44.

    9. Mias, C. (2008). Electronic problem based learning of electromagnetics through software development. Computer Applications in Engineering Education, 16(1),

    12-20.

    10. Nair, K. U. (2001). Adaptation to creation: progress of organizational learning and increasing complexity of learning systems. Systems Research and Behavioral Science,

    18(6), 505-521.

    11. Oliver, J., & Prim, M. (2005). Mixed-project-based learning methodology in computer / electronic engineering. SIGITE Conference 2005, 291-294.

    12. Prince, K. J. A. H ., van Eijs, P. W. L. J., Boshuizen, H. P. A., van der Vleuten, C. P. M., & Scherpbier, A. J. J. A. (2005). General competencies of problem-based learning

    (PBL) and non-PBL graduates. Medical Education, 39(4), 394-401.

  • 28

    13. Redondo, M. A., & Bravo, C. (2005). DomoSim-TPC: collaborative problem solving to support the learning of domotical design. Computer Applications in Engineering

    Education, 14(1), 9-19.

    14. Schmidt, H. G., Vermeulen, L., & van der Molen, H. T. (2006). Longterm effects of problem-based learning: a comparison of competencies acquired by graduates of a

    problem-based and a conventional medical school. Medical Education, 40(6),

    562-567.

    15. Wolfram, A., & Stefan, H. (2002). Problem-based learning versus lecture-based learning in a course of basic pharmacology: a controlled, randomized study. Medical

    Education, 33(2), 106-113.

    16. Yapp, C. H. W., & See, A. K. B. (2008). Teaching image processing: a two-step process. Computer Applications in Engineering Education, 16(3), 211-222.

  • 29

    Blender

    (Blender)

    2008 5

    1.

    2.

    3.

    4. project 3 95 95~90 90~80 80~70 70

    5. 1()23

    6. ?

    7. ?

    8.

    10% 10-40% 40-60% 60-90%

    10%

    9.

  • 30

    (1)

    (2)

    (3)

    (4)

    (5)

    (6)

    (7)

    (8)

    (9)

    (10)

    (11)

    (12)

    (13)

    blender

    10. Blender

    (1) Blender

    (2) Blender

    (3) Blender

    (4)

    (5) Blender

    (6)

    (7)

    (8)

    (9)

    (10)

    (11)

    (12) Blender

  • 31

    11. Blenderd

    (1)

    (2)

    (3)

    (4)

    (5)

    (6)

    (7)

    (8)

    (9)

    (10)

    (11)

    (12)

    (13)

    (14)

    12. 2D CAD ?

    13. 3D sketch up

    ?

    14. Blender

    ?

    15. blender

  • 32

    16. Blender

    Blender

    17. ()

    18. (g:move)r:rotate

    s:scale

    19. subsurf

    20.

    21.

    22.

    23. Subdivide

    24. Bevel

    25. k-key (Knife)

    26. ( Clouds

    Wood Magic Noise )

    27.

    28. (

    Logo)

    29.

    30.

    31. ( or ..)

    32. (Wireframe)

    33. Shift + P Render

    34. Parent

    35.

    36. IPO curve

    37. IPO curve

  • 33

    38. parent

    39.

    40. cyclic

    41. Armature Bone

    42. Physics Engine

    43. Game Engine

    44. Game Engine (

    )

    45. G

    46. Fields:

    (Blender )

    Problem-based learning

    47. blender ?

    48. ?

    49.

    10% 10-40% 40-60% 60-90%

    10%

    50. blender

    40 20 10 5

    1

    51. blender