Supporting inquiry processes with an interactive learning environment: Inquiry island

Journal of Science Education and Technology

Volumn 17, Issue 6, 2008, Pages 610-617

  Eslinger, Eric ^a   White, Barbara ^b   Frederiksen, John ^c   Brobst, Joseph ^a  

^a UNIVERSITY OF DELAWARE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Educational technology; Genetics; Inquiry; Metacognition

Indexed keywords

EID: 56749170672     PISSN: 10590145     EISSN: 15731839     Source Type: Journal    
DOI: 10.1007/s10956-008-9130-6     Document Type: Article

References (25)

1. RD Anderson 2002 Reforming science teaching: what research says about inquiry J Sci Teach Educ 13 1 1 12 10.1023/A:1015171124982
2. Bransford JD, Brown AL, Cocking RR (eds) (2000) How people learn: brain, mind, experience, and school expanded edition. National Academics Press, Washington DC
3. Brewer W, Samarapungavan A (1991) Children's theories versus scientific theories: differences in reasoning or differences in knowledge? In: Hoffman RR, Palermo DS (eds) Cognition and the symbolic processes: applied and ecological perspectives. Lawrence Erlbaum, Hillsdale
4. Brown AL (1987) Metacognition, executive control, self-regulation, and other more mysterious mechanisms. In: Weinert F, Kluwe R (eds) Metacognition, motivation, and understanding. Erlbaum, Hillsdale
5. AL Brown 1990 Domain-specific principles affect learning and transfer in children Cogn Sci 14 107 133
6. Bush K (1997). Genscope inquiry curriculum. Unpublished master's thesis, Graduate School of Education, University of California at Berkeley
7. Carey S (1985) Are children fundamentally different kinds of thinkers than adults? In: Chipman S, Segal J, Glaser R (eds) Thinking and learning skills, vol 2. Lawrence Erlbaum, Hillsdale
8. S Carey R Evans M Honda E Jay C Unger 1989 An experiment is when you try it and see if it works: a study of junior high school students' understanding of the construction of scientific knowledge Int J Sci Educ 11 514 529 10.1080/0950069890110504
9. Dewey J (1938) Experience and education. McMillan, New York
10. DC Edelson 2001 Learning-for-use: a framework for the design of technology-supported inquiry J Res Sci Teach 38 3 355 385 10.1002/1098- 2736(200103)38:3<355::AID-TEA1010>3.0.CO;2-M
11. Eslinger E (2004). Student self-assessment in an interactive learning environment: technological tools for scaffolding and understanding self-assessment practices. Doctoral dissertation, University of California at Berkeley
12. A Keselman 2003 Supporting inquiry learning by promoting normative understanding of multivariable causality J Res Sci Teach 40 9 898 921 10.1002/tea.10115
13. JL Kolodner PJ Camp D Crismond B Fasse J Gray J Holbrook 2003 Problem-based learning meets case-based reasoning in the middle-school science classroom: putting learning by design (TM) into practice J Learn Sci 12 4 495 547 10.1207/S15327809JLS1204-2
14. KE Metz 2004 Children's understanding of scientific inquiry: their conceptualization of uncertainty in investigations of their own design Cogn Instr 22 2 219 290 10.1207/s1532690xci2202-3
15. National Research Council (1996) National science education standards. The National Academics Press, Washington, DC
16. National Research Council (2000) Inquiry and the national science education standards: a guide for teaching and learning. The National Academics Press, Washington, DC
17. National Research Council (2007) In: Duschl RA, Schweingruber HA, Shouse AW (eds) Taking science to school: learning and teaching science in grades K-8. The National Academies Press, Washington, DC
18. Piaget J (1929) The child's conception of the world. Harcourt, Brace, Oxford
19. C Quintana BJ Reiser EA Davis J Krajcik E Fretz RG Duncan 2004 A scaffolding design framework for software to support science inquiry J Learn Sci 13 3 337 386 10.1207/s15327809jls1303-4
20. Schoenfeld AH (1987) What's all the fuss about metacognition? In: Schoenfeld AH (ed) Cognitive science and mathematics education. Erlbaum, Hillsdale, NJ, pp 189-215
21. T Shimoda B White J Frederiksen 2002 Student reflective inquiry: increasing levels of agency through modifiable software advisors Sci Educ 86 244 263 10.1002/sce.10003
22. B White 1993 Thinker tools: causal models, conceptual change, and science education Cogn Instr 10 1 1 100 10.1207/s1532690xci1001-1
23. BY White JR Frederiksen 1998 Inquiry, modeling, and metacognition: making science accessible to all students Cogn Instr 16 1 3 118 10.1207/ s1532690xci1601-2
24. White B, Shimoda T, Frederiksen J (2000) Facilitating students' inquiry learning and metacognitive development through modifiable software advisers. In: Lajoie S (ed) Computers as cognitive tools, volume two: no more walls. Erlbaum, Mahwah, pp 97-132
25. White BY, Frederiksen JR (2005) Modeling, developing, and assessing scientific inquiry skills using a computer-based inquiry support environment. Final report to the National Science Foundation. UC Berkeley (available from the first author)