Development and evaluation of a city-wide wireless weather sensor network

Educational Technology and Society

Volumn 13, Issue 3, 2010, Pages 270-280

  Chang, Ben ^a   Wang, Hsue Yie ^b   Peng, Tian Yin ^c   Hsu, Ying Shao ^d  

^a NATIONAL CHIAYI UNIVERSITY   (Taiwan)

^b NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^c NATIONAL TAIWAN NORMAL UNIVERSITY   (Taiwan)

^d National Normal Taiwan University   (Taiwan)

Author keywords

Taipei weather science learning network; Weather science learning; Wireless weather sensor network

Indexed keywords

EID: 77958109237     PISSN: 11763647     EISSN: 14364522     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. AAAS (1993). Benchmarks for science literacy, New York, NY: Oxford University Press.
2. Akyildiz, I., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communications Magazine, August, 102-114.
3. Blumenfeld, P. C., Soloway, E., Marx, R., Krajcik, J. S., Guzdial, M., & Palincsar, A. (1991). Motivating project-based learning: Sustaining the doing, supporting the learning. Educational Psychologist, 26, 369-398.
4. Chang, B., Wang, H. Y., & Lin, Y. S. (2009). Enhancement of mobile learning using wireless sensor network. IEEE Learning Technology Newsletter, 11 (1&2), 22-25.
5. CSMEE & NRC (2000). Inquiry and the national science education standards: A guide for teaching and learning, Washington, DC: National Academy Press.
6. Edelson, D. C., Gordin, D. N., & Pea, R. D. (1999). Addressing the challenges of inquiry-based learning through technology and curriculum design. The Journal of the Learning Sciences, 8(3&4), 391-450.
7. Jonassen, D. H., Peck, K. L., & Wilson, B. G. (1999). Learning with technology: A constructivist perspective, New York: Prentice Hall.
8. Krajcik, J., Blumenfeld, P. C., Marx, R. W., Bass, K. M., Fredericks, J., & Soloway, E. (1998). Inquiry in project-based science classrooms: Initial attempts by middle school students. The Journal of the Learning Sciences, 7 (3-4), 313-350.
9. Linn, M. C. (2003). Technology and science education: Starting points, research programs, and trends. International Journal of Science Education, 25 (6), 727-758.
10. Linn, M. C., Songer, N. B., & Eylon, B. S. (1996). Shifts and convergences in science learning and instruction. In Calfee, R. & Berliner, D. (Eds.), Handbook of educational psychology (pp. 438-490), Riverside, NJ: Macmillan.
11. National Research Council (1996). National science education standards, Washington, DC: National Academy Press.
12. National Research Council (2000). Inquiry and the national science education standards: A guide for teaching and learning, Washington, DC: National Academy Press.
13. Official of Teaching and Learning (n.d.). 2002-2009 official scientific inquiry scoring guide, Retrieved May 5, 2010, from http://inside.otl.pps.k12.or.us/.docs/pg/400/rid/15123/f/sciinqu_bk3eng.pdf.
14. Sandoval, W. A. (2001). Students' uses of data as evidence in scientific explanations. Paper presented at the annual meeting of the American Educational Research Association, April, Seattle, WA.
15. White, B. Y. (1993). ThinkerTools: Causal models, conceptual change, and science education. Cognition and Instruction, 10 (1), 1-100.
16. White, B. Y., & Fredriksen, J. R. (1998). Inquiry, modeling, and metacognition: Making science accessible to all Students. Cognition and Instruction, 16 (1), 3-118.