ED-MEDIA 1999 Proceedings Book - Association for the ...

ED-MEDIA 1999 Proceedings Book - Association for the ... ED-MEDIA 1999 Proceedings Book - Association for the ...

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Design of Web-based Learning Environments: Integrating curriculum, technology, and professional development approaches James D. Slotta and Marcia C. Linn Graduate School of Education, University of California at Berkeley 4523 Tolman Hall Berkeley, CA 94720-1670 slotta@socrates.berkeley.edu Philip Bell College of Education University of Washington 322 Miller Hall Box 353600 Seattle, WA 98195 pbell@u.washington.edu Panel Topic Summary An increasing number of learning environments are successfully engaging students in authentic inquiry while also promoting meaningful learning about central concepts in a discipline. These efforts are characterized by some common characteristics: • Computer-based activities are embedded in curriculum sequences, so computers become a learning partner, rather than a medium for direct instruction or a generic tool • Instructional frameworks inform the design process and provide a connection back to our theoretical understanding of learning • Innovations are designed and refined through multiple iterations by collaborating design partnerships that include teachers, educational researchers, technologists, and domain experts (e.g., scientists) • Professional development for teachers emerges as an integral component of research and development work. This involves new technologies and materials, and typically the creation of dedicated "on-line communities." Over the past fourteen years, our own research program has focused on promoting middle and high school students' integrated understanding of science through the use of carefully designed and technology-rich curriculum (Linn, 1995). This effort has resulted in a framework for designing instruction called Scaffolded Knowledge Integration (SKI), as well as several computer-based learning environments, including: • The Computer as Learning Partner Project (CLP) > • The Knowledge Integration Environment (KIE) > • The Web-based Integrated Science Environment (WISE) The software and curriculum used within these learning environments has included on-line lab-books to support reflection during experimentation, electronic coaches and guidance to offer conceptual hints, Internet-based discussion tools to help students exchange ideas, on-line design libraries to support the sharing of design resources, computer-based argument editors to enrich discussions during classroom debate activities, and any number of different interface designs which provided procedural scaffolding to students as they progressed through these online activities. Throughout this extensive history, the elaboration and refinement of our instructional framework has been an enduring focus and product of the work. With every new semester in the classroom, we have continued to refine this framework, together with our understanding of how to design effective curriculum activities, and our knowledge of how to support teachers who wish to adopt our curriculum and technology. This panel examines the principles of this framework, describes how they are being applied to design new formats for Web-based instruction in science, and explains how the framework can promote professional development for both pre-service and in-service teachers. Technology can be used catalyze a shift toward new instructional practices in classrooms, but not without careful attention to issues of curriculum, assessment, and learning.

Toward a framework for instruction with technology Marcia C. Linn, University of California at Berkeley Based on over a decade of research in the Computer as Learning Partner project, The Scaffolded Knowledge Integration (SKI) framework guides the design of effective, technology rich learning environments (Linn, 1995; Linn & Hsi, in press). My research targets scientific understanding, with particular focus on preparing students to become lifelong science learners in a complex, changing world. In this panel, I describe how the Scaffolded Knowledge Integration framework can guide decisions made by instructional designers. This process has succeeded in our Computer as Learning Partner Project and Knowledge Integration Environment Project (Bell, Davis and Linn (in press), and is currently guiding our work in two new projects: The Web-based Integrated Science Environment (WISE) and Science Controversies On-line: Partnerships in Education (SCOPE). An effective framework for instructional design should respond to a wide range of questions: How can we help students gain lifelong learning skills What kinds of guidance do students need in order to best succeed in the activities we design How do we capitalize on the social aspects of classrooms too often ignored by instruction An instructional framework should integrate the findings from abstract theories and detailed experiments into principles that can effectively guide the design of learning technologies and curriculum. I define knowledge integration as the dynamic process of connecting, distinguishing, organizing, and structuring models of a particular scientific phenomenon. I use the term "model" loosely to refer to patterns, templates, views, ideas, theories, and visualizations. In general, learners bring multiple models of the phenomenon to any intellectual situation and regularly revise and reconnect their ideas. For example, if one wishes to instruct students in the area of heat and temperature, a quick review of the vocabulary around these concepts suggest a broad range of models available to students. Students may believe that heat and temperature are interchangeable, based on verbal formulations such as "turn up the heat" and "turn up the temperature." Or they may distinguish heat from temperature, for example, remarking that temperature refers to all of the possible degrees on the thermometer whereas heat refers to the degrees near the top of the thermometer. In general, students bring a multitude of models to any situation and engage in a dynamic process of selecting among them to deal with particular problems or social interactions. Rather than viewing multiple models as a problem, we see this as an opportunity for students to gain a rich understanding of the learning process and of the distinction between scientific and everyday problem solving. The Scaffolded Knowledge Integration framework helps designers create materials that invite students to develop a deeper, more connected understanding of scientific phenomena. This view of students as “seeking connections” and instruction as “fostering knowledge integration” stands in contrast to the conventional model of learners as receiving information and of instruction as providing information. To design for knowledge integration, we articulate four major tenets of our framework: Making Science Accessible: To enable students to connect new ideas to their existing knowledge, we must assess their baseline understanding and design materials that connect to this knowledge. Effective instruction provides opportunities for students to evaluate scientific evidence according to their own understanding, to articulate their own theories and explanations, and participate actively in principled design. This might involve using models of phenomena that are more accessible to students than the normative scientific models (Linn & Songer, 1991). Making Thinking Visible: To model the process of knowledge integration teachers and software can illustrate the wrong paths and confusions typical of scientific reasoning. To design instruction, we also need to help students make their own thinking visible (e.g., Collins, Brown and Holum, 1991; Linn and Songer, 1991; Slotta and Linn, in press). Promoting Lifelong Science Learning: To prepare students for autonomous, lifelong science learning we start with small but independent student activities that require sustained reasoning. To make such projects authentic, we draw on students existing knowledge and incorporate scientific evidence that students find personally relevant. In our Computer as Learning Partner project, we found that electronic coaches could helps students use such evidence productively. Electronic coaches, carefully designed, can be just as effective and more efficient than some forms of human coaching. Providing Social Supports for Learning: Science learning is rarely performed in isolation from ones peers; rather, peer exchange is often vital to learning. (e.g., Brown and Campione, 1990; Vygotsky, 1987). Science projects should be designed to foster collaborative work, both because this will be an important skill for students throughout their lives, and also because it is an efficient means of learning how others connect ideas. Designing an effective social context for learning involves guiding the process of social interaction. Hearing ideas in the words of peers, validating each others' ideas, and asking questions of peers can all foster links and connections among ideas when carefully designed.

Design of Web-based Learning Environments: Integrating curriculum,<br />

technology, and professional development approaches<br />

James D. Slotta and Marcia C. Linn<br />

Graduate School of Education, University of Cali<strong>for</strong>nia at Berkeley<br />

4523 Tolman Hall<br />

Berkeley, CA 94720-1670<br />

slotta@socrates.berkeley.edu<br />

Philip Bell<br />

College of Education<br />

University of Washington<br />

322 Miller Hall Box 353600<br />

Seattle, WA 98195<br />

pbell@u.washington.edu<br />

Panel Topic Summary<br />

An increasing number of learning environments are successfully engaging students in au<strong>the</strong>ntic inquiry while also<br />

promoting meaningful learning about central concepts in a discipline. These ef<strong>for</strong>ts are characterized by some<br />

common characteristics:<br />

• Computer-based activities are embedded in curriculum sequences, so computers become a learning partner,<br />

ra<strong>the</strong>r than a medium <strong>for</strong> direct instruction or a generic tool<br />

• Instructional frameworks in<strong>for</strong>m <strong>the</strong> design process and provide a connection back to our <strong>the</strong>oretical<br />

understanding of learning<br />

• Innovations are designed and refined through multiple iterations by collaborating design partnerships that<br />

include teachers, educational researchers, technologists, and domain experts (e.g., scientists)<br />

• Professional development <strong>for</strong> teachers emerges as an integral component of research and development work.<br />

This involves new technologies and materials, and typically <strong>the</strong> creation of dedicated "on-line communities."<br />

Over <strong>the</strong> past fourteen years, our own research program has focused on promoting middle and high school students'<br />

integrated understanding of science through <strong>the</strong> use of carefully designed and technology-rich curriculum (Linn,<br />

1995). This ef<strong>for</strong>t has resulted in a framework <strong>for</strong> designing instruction called Scaffolded Knowledge Integration<br />

(SKI), as well as several computer-based learning environments, including:<br />

• The Computer as Learning Partner Project (CLP) ><br />

• The Knowledge Integration Environment (KIE) ><br />

• The Web-based Integrated Science Environment (WISE) <br />

The software and curriculum used within <strong>the</strong>se learning environments has included on-line lab-books to support<br />

reflection during experimentation, electronic coaches and guidance to offer conceptual hints, Internet-based<br />

discussion tools to help students exchange ideas, on-line design libraries to support <strong>the</strong> sharing of design resources,<br />

computer-based argument editors to enrich discussions during classroom debate activities, and any number of<br />

different interface designs which provided procedural scaffolding to students as <strong>the</strong>y progressed through <strong>the</strong>se online<br />

activities. Throughout this extensive history, <strong>the</strong> elaboration and refinement of our instructional framework has<br />

been an enduring focus and product of <strong>the</strong> work. With every new semester in <strong>the</strong> classroom, we have continued to<br />

refine this framework, toge<strong>the</strong>r with our understanding of how to design effective curriculum activities, and our<br />

knowledge of how to support teachers who wish to adopt our curriculum and technology.<br />

This panel examines <strong>the</strong> principles of this framework, describes how <strong>the</strong>y are being applied to design new <strong>for</strong>mats<br />

<strong>for</strong> Web-based instruction in science, and explains how <strong>the</strong> framework can promote professional development <strong>for</strong><br />

both pre-service and in-service teachers. Technology can be used catalyze a shift toward new instructional practices<br />

in classrooms, but not without careful attention to issues of curriculum, assessment, and learning.

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