為提昇概念體系的有效發展,本研究嘗試以重量概念為主題,分析其發展脈
絡,並融合多元智能理念,建構幼兒科學學習系統。該系統在學習活動方面設計
「探索(Knower)→器械建構(Doer)→問題解決(Dreamer)」三叢集活動,強
調學習情境與學習引導的鷹架性;在評量活動方面則設計「科學能力智能傾向
-工作風格」三向度評估,著重歷程檔案的建構與多層次分析。經科學教育、認
知心理、測驗評量、資深幼教教師等專家評估,一致認為本系統具有多項特色,
並有高度的「向度完整性」、「認知符合度」、「思考挑戰性」、「型式創意性」、「鷹
架流暢性」及「情境合宜性」;其可深化概念認知、提昇過程技能、促進學習動機,
並能及早窺探智能傾向,兼具適切性與效益性。
This aim of this project was to construct a multiple-intelligence-oriented preschool
science learning and assessment system for teaching young children the concept
of weight. Children’s learning activities were designed within the framework of
Knower (exploration), Doer (technological construction), and Dreamer (problem solving),
highlighting the scaffolding function in the learning situation. Assessment was
three-dimensional: the scientific ability, intelligence and working style of young children
were evaluated; there were construction and multiple analyses of students’ portfolios.
This learning and assessment system was evaluated by experts from the fields of
scientific education, cognitive psychology, education assessment and early childhood
psychology, and found to be appropriate and effective. It cam be an effective means for
enhancing young children’s conceptualization ability, procedural skills and learning
motivation, and also facilitate the testing of children’s intelligence potential as early as
possible.
白珮宜、江玉燕、許瑛玿、林詩怡、汪惠玲(2004,12月)。多元智能融入高中校園氣象
觀測課程的研發與實施成效評估。論文發表於國立高雄師範大學主辦之「第二十屆科
學教育」學術研討會,高雄市。
林倩玉(2001)。運用多元智慧教學提昇同儕的互動以自然科教學為例。國立臺北師
範學院數理教育研究所碩士論文,未出版,臺北市。
陳燕珍(譯)(1999)。C. Kamii, & R. DeVries著。幼兒物理知識活動皮亞傑理論在幼
兒園中的應用。臺北縣:光佑。
莊麗娟(2004)。三~六歲幼兒對重量概念的認知:本質認知與保留推理。科學教育學刊,
12(2),159-182。
張滄敏(2001)。多元智慧之主題探索教學行動研究。國立臺北師範學院數理教育研究所
碩士論文,未出版,臺北市。
Baillargeon, R., & Graber, M. (1987). Where is the rabbit? 5.5-month-old infants/ representation
of the height of a hidden object. Cognitive Development, 2, 375-392.
Bar, V., Zinn, B., Goldmunts, R., & Sneider, C. (1994). Children’s concepts about weight and
free fall. Science Education, 78(2), 149-169.
Black, P., & Hughes, S. (2003). Using narrative to support young children’s learning in science
and D&T. In D. Davies & A. Howe (Eds.), Teaching science and design and technology in
the early years (pp. 38-50). London: David Fulton.
Bredekamp, S., & Rosegrant, T. (1992). Reaching potentials: Appropriate curriculum and assessment
for young children (Vol. 1). Washington, DC: National Association for the Education
of Young Children.
Brown, A. L., Ash, D., Rutherford, M., Nakaguwa, K., Gordon, A., & Campione, J. C. (1993).
Distributed expertise in classroom. In G. Saloman (Ed.), Distributed cognition: Psychological
and educational considerations (pp. 188-228). Cambridge, UK: Cambridge University
Press.
Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning.
Educational Researcher, 18, 32-41.
Carson, D. (1995). Diversity in the classroom: Multiple intelligences and mathematical problem
– solving. Pro-Quest Dissertation and Theses, AAT9616884.
Carvalho, A. M. (2004). Building up explanations in physics teaching. International Journal of
Science Eeducation, 26(2), 225-237.
Charlesworth, R., & Lind, K. K. (1999). Math and science for young children. New York: Delmar.
Dehaene, S. (2001).The cognitive neuroscience of numeracy: Exploring the cerebral substrate,
the development, and the pathologies of number sense. In S. M. Fitzpatrick & J. T. Bruer
(Eds.), Carving our destiny: Scientific research faces a new millennium (pp. 41-76). Washington,
DC: J. H. Press.
DeLoache, J. S. (1987). Rapid change in the symbolic functioning of very young children. Science,
238, 1556-1557.
Driver, R., Guesne, E., & Tiberghien, A. (1993). Some features of children’s ideas and their implications
for teaching. In R. Driver, E. Guesne, & A. Tiberghien (Eds.), Children’s ideas in
science (pp. 193-201). Philadelphia: Open University Press.
Galili, I., & Bar, V. (1997). Children’s operational knowledge about weight. International Journal
of Science Education, 19, 317-340.
Gardner, H. (1983). Frames of mind: The theory of multiple intelligence. New York: Basic
Books.
Gelmen, R. (2005). Mathematical and scientific cognitive development. A workshop summary.
Retrieved March 10, 2005, from http://www.nap.edu/openbook/0309095034/html/5.html
Ginsburg, H. P., & Golbeck, S. L. (2004). Thoughts on the future of research on mathematics
and science learning and education. Early Childhood Research Quarterly, 19, 190-200.
Goodnough, K. (2001). Multiple intelligences theory: A framework for personalizing science
curricula. School Science and Mathematics, 104(4), 180-193.
Grieshaber, S., & Diezmann, C. (2000). The challenge of teaching and learning science with
young children. In N. J. Yelland (Ed.), Promoting meaningful learning (pp. 87-94). Washington,
DC: National Association for the Education of Young Children.
Haley, M. H. (2004). Learner-centered instruction and the theory of multiple intelligences with
second language learners. Teachers College Record, 106, 163-180.
Helm, J. H., & Beneke, S. (2003). The power of projects. New York: Teachers College Press.
Howe, A. C. (1996). Development of science concepts within a Vygotskian framework. Science
Education, 80(1), 35-51.
Howe, A., & McMahon, K. (2003). Assessing young children’s learning in science and D&T. In
D. Davies & A. Howe (Eds.), Teaching science and design and technology in the early
years ( pp. 51-69). London: David Fulton.
Kelly, C. A. (2000). Reaching to the standards. Science and Children, 37(4), 30-32.
Krechevsky, M. (1998). Project spectrum: Preschool assessment handbook. New York: Teachers
College Press.
Landry, C. E., & Forman, G. E. (1999). Research on early science education. In C. Seefeldt (Ed.),
The early childhood curriculum (3rd ed., pp. 133-158). New York: Teachers College Press.
Lazear, D. (1999). Multiple intelligence approach to assessment. Tucson, AZ: Zephyr Press.
Linn, M. C. (1977). Scientific reasoning: Influences on task performance and response categorization.
Science Education, 61, 357-365.
McMahon, S. D., Rose, D. S., & Parks, M. (2004). Multiple intelligences and reading achievement:
An examination of the teele inventory of multiple intelligences. Journal of Experimental
Education,73, 41-52.
Piaget, J. (1972). The child’s conception of physical causality. London: Routledge and Kegan.
Puntambekar, S., & Kolodner, J. L. (2005). Toward implementing distributed scaffolding: Helping
students learn science from design. Joural of research in science teaching, 42(2),
185-217.
Raffin, D. S. (1996). Brain-compatible learning and instruction: Bloom’s taxonomy, multiple
intelligences, cooperative learning, integrated instruction. Pro-Quest Dissertation and Theses,
AAT9622835.
Roesch, D. E. (1997). An ethnographic qualitative study of the perspectives of English teachers
on the use of multiple intelligences theory in the high school classroom. Pro-Quest Dissertation
and Theses, AAT9803812.
Schmidt, P. P. (1999). KWLQ: Inquiry and literacy learning in science. Reading teacher, 52,
89-92.
Shepardson, D. P., & Jackson, V. (1997). Developing alternative assessments using the benchmarks.
Science and Children, 35(2), 34-40.
Siegler, R. S. (1981). Developmental sequences within and between concepts. Monographs of
the Society for Research in Child Development, 46(2), 1-74.
Skamp, K. (1996). School science and mathematics. Bowling Green, 96, 247-254.
Vangilder, J. S. (1995). A study of multiple intelligence as implemented by a Missouri school.
Pro-Quest Dissertation and Theses, AAT9608005.
Vygotsky, L. (1986). Though and language (A. Kozulin, Trans.). Cambridge, MA: Harvard
University Press. (Original work published 1934)
Worth, K., & Grollman, S. (2003). Worms, shadows, and whirlpools. Portsmouth, NH: Heinemann.
Wynn, K. (1992). Addition and subtraction by human infants. Nature, 358, 749-750.