數位典藏環境中多元智能與學習風格的學習成效之研究





















































































































































































































































































































































































































































































penghen.tsai@msa.hinet.net jerome@mail.stu.edu.tw tyhuang@mail.npue.edu.tw

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Abstract

The digital archive of Taiwan Technology Antique and Industrial Technique was the instruction materials integrated with the fields of science, technology and society in this experimental instruction. The learning effect was assessed via performance assessment and was to investigate the effect of multiple intelligence and learning style. The results were as follows: (1) The learning effect of the advantaged students in multiple intelligence was significant superior; (2) The positive students in emotional dimension gained significant learning effect; (3) The predictive factors were the emotional dimension and logical mathematical intelligence in online searching task and developing higher cognitive level, and the interpersonal intelligence was the predictive factor in artifact assessment.

Keywords: Digital archives, Multiple intelligence, Learning style, Performance assessment.

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Mean Std. Mean Std. Mean Std.

B 24 134.83 18.65 41.21 19.07 78.67 10.69 G 123 131.56 22.15 32.61 18.85 78.94 10.45 b L 21 127.00 22.37 20.48 12.40 77.85 8.72 B 31 141.46 7.91 43.55 18.34 80.39 9.54 G 108 131.59 20.57 31.77 18.39 79.31 10.31 _ `  _{L 29 120.28 29.69 22.38 15.29 74.97 10.09} B 32 136.72 13.76 37.69 16.40 80.53 8.76 G 108 132.25 19.78 32.52 19.86 78.17 10.67 d Ö L 28 122.39 31.96 25.43 15.93 79.04 10.16 B 22 136.68 13.02 41.18 17.84 81.41 7.75 G 126 131.56 21.66 31.63 18.59 78.82 10.35 ý ž n þ _{L 20 125.10 28.02 26.90 19.67 75.50 11.39} B 27 136.56 14.72 38.22 17.65 81.41 5.16 G 115 131.83 20.84 32.88 19.47 78.66 10.93  ' L 26 124.50 29.25 23.73 14.69 76.46 10.69 B 30 139.27 11.21 43.23 15.67 81.80 7.27 G 112 129.96 23.08 31.51 19.08 79.51 10.32 k l m n _{L 26 128.88 23.27 23.23 15.89 72.04 10.24} B 30 138.70 12.75 40.20 17.29 80.77 7.70 G 113 132.55 20.37 33.03 19.06 78.92 10.76 ø  L 25 117.84 29.59 19.68 13.44 75.64 10.09 B 31 132.90 15.50 32.48 16.05 77.97 10.21 G 113 131.02 23.24 34.20 19.85 78.70 10.34     _{L 24 131.67 21.63 23.25 15.28 80.08 10.06}

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Mean Std. Mean Std. Mean Std.

P 19 133.79 17.77 39.26 20.06 78.58 8.73 M 126 130.78 22.78 31.71 19.15 78.86 10.53 = > N 23 133.26 18.80 29.91 15.70 78.39 10.14 P 25 141.92 6.99 44.44 15.77 81.36 7.68 M 115 132.23 20.07 32.83 18.70 79.44 10.73 VW N 28 118.96 30.00 19.39 14.17 73.64 8.62 P 28 128.57 25.23 28.82 15.27 76.11 10.97 M 112 131.00 22.19 31.88 18.52 79.85 9.99 # $ N 28 136.18 14.71 37.57 22.85 77.07 10.11 P 28 130.14 17.53 28.04 16.50 76.04 10.23 M 110 132.08 22.87 32.90 18.34 79.41 10.20 „ N 30 130.40 21.28 34.20 22.71 78.93 10.28 PE[ X \ X UMEë® R \ X UNEX \ X   

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[4] D. L. Nuttall, “Performance Assessment: The message from England.” Educational Leadership, 49(8), pp.54-57, 1992.

[5] F. T. Hofstetter, Internet literacy. McGraw-Haii Irwin, 2001.

[6] H. Gardner, Frames of Mind: The Theory of Multiple Intelligences, New York: Basic, 1983. [7] H. Gardner, Intelligence Reframed: Multiple

Intelligences for the 21st Century, New York: Basic, 2000.

[8] J. Schacter, K. Gregory, W. K. Chung, & A. Dorr, “Children’s Internet searching on complex problem: performance and process analysis.” Jasis, 49(9), pp.840-849, 1998.

[9] M. E. Diez, & C. J. Moon, “What do we want students to know? And other important questions.” Educational Leadership, 49(8), pp.38-41, 1992. [10] P.W. Airasian, Assessment in the classroom.

New York: McGraw-Hall, 1996.

[11] R. Dunn, & K. Dunn, Teaching elementary students through their individual learning styles: Practical approaches for grades 3-6, Boston: Allyn and Bacon, 1992.

[12] R. L. Linn, & N. E. Gronlund, Measurement and Assessment in teaching 7th _{ed., Englewood Cliffs,}

NJ: Prentice-Hall, 1995.

[13] Y.J. Lee, “Concept Mapping Your Web Searches: A Design Rationale and Web-enabled Application.” Journal of Computer Assisted Learning, 20, pp.103-113, 2004.

[14] Y. Kafai, & M. J. Bates, “Internet Web-Searching Instruction in the Elementary Classroom: Building a Foundation for Information Literacy.” School Library Media Quartely, 25, 2, pp.103-111, 1997.