lucy telseminar

ZOO-WISE: Designing a Web-Based Science Inquiry Task: 

ZOO-WISE: Designing a Web-Based Science Inquiry Task Lucy Avraamidou & Richard Duschl Feb 19, 2004

Purpose of the Task: 

Purpose of the Task This web-based inquiry science task deals with animal conservation and engages learners in constructing evidence-based claims about whether a species meets the extinction criteria and should be placed on the Red List of threatened animals

Activities: 

Activities Use of mythical animals to illustrate the Red List Criteria - mythical animals have distinct characteristics and are connected with each of the criteria Examination based upon the Red List Criteria of five case studies: wolf, oryx, fox, snail, and rhino - make a claim about whether those are critically endangered, endangered or vulnerable and explain why with the use of evidence Engaging in dialogue through communication of claims and evidence to support them -argumentation

Theoretical Framework: 

Theoretical Framework Engage in scientific practices and develop an understanding about scientists’ work: collect data, interpret data, represent data, use data to develop claims and communicate claims to others Engage in epistemological conversations about data transformations: use evidence to support claims and justify how specific evidence supports a claim

Problem Based Learning: 

Problem Based Learning Types of Knowledge Declarative what we know Procedural how we know Systematic why we believe Strategic thinking about thinking Goals of Science Learning Conceptual/Cognitive Knowing and Thinking Epistemological Choosing & Deciding Social Representing & Communicating

Slide6: 

Conversations Around Data-Texts - Data Texts Raw Data Selected Data or Evidence Patterns & Models of Evidence Explanations of Patterns & Models - Data Transformations T1 - what data count, are worth using T2 - what patterns & models to use T3 - what explanations account for patterns & models

Wise Display Page: 

Wise Display Page

Wise Alert: 

Wise Alert

Kinds of Data: 

Kinds of Data

An Imaginary Field Trip: 

An Imaginary Field Trip

Wise Evidence: 

Wise Evidence

Wise Note: 

Wise Note

Wise Hint: 

Wise Hint

Wise Evidence-Based Claims: 

Wise Evidence-Based Claims

Wise SenseMaker: 

Wise SenseMaker

Links to Web Sites: 

Links to Web Sites

Wise Discussion: 

Wise Discussion

Ideas for Research: 

Ideas for Research What is the role of technology in bridging formal and informal contexts of learning? What view of science is portrayed through zoo-wise? In what ways (if any) does the design of the environment support science learning? What is the nature/quality of the evidence-based claims developed by students within zoo-wise? In what ways does zoo-wise support interaction and communication of ideas amongst students?