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A Smart Curriculum for Middle-School Science Instruction: A Web-Based<br />

Curriculum Integrat<strong>in</strong>g Assessment and Instruction<br />

Cognition and Technology Group at Vanderbilt<br />

Vanderbilt University<br />

United States of America<br />

vyenj@ctrvax.vanderbilt.edu<br />

Abstract: This paper discusses a model of <strong>in</strong>tegrated <strong>in</strong>struction and assessment called<br />

SMART (Special Multimedia Arenas for Ref<strong>in</strong><strong>in</strong>g Th<strong>in</strong>k<strong>in</strong>g). SMART <strong>in</strong>volves <strong>in</strong>teractive<br />

use of the <strong>in</strong>ternet and multimedia software. The <strong>in</strong>ternet serves 3 important functions: It acts<br />

as a <strong>format</strong>ive assessment tool by provid<strong>in</strong>g <strong>in</strong>dividualized feedback to students, creates a<br />

learn<strong>in</strong>g community by display<strong>in</strong>g data submitted by participat<strong>in</strong>g classrooms; and promotes<br />

discussion and reflection on important concepts. We discuss design features of the SMART<br />

model, <strong>in</strong>clud<strong>in</strong>g the <strong>in</strong>ternet tools, and describe an example from middle-school science.<br />

A primary focus of current research on alternative assessment <strong>in</strong>volves the <strong>in</strong>vestigation of<br />

performance assessments for summative purposes, <strong>in</strong> particular for school- and system-level accountability<br />

[Baker & O’Neill 1994]. In this context, researchers have largely been concerned with the psychometric<br />

properties of performance assessments, notably, with issues that have arisen with respect to scor<strong>in</strong>g, reliability,<br />

and validity.<br />

While these issues are important, this paper concerns a different, often overlooked, function of<br />

assessment--to <strong>in</strong>form ongo<strong>in</strong>g <strong>in</strong>struction and learn<strong>in</strong>g. There are several reasons for our focus on <strong>format</strong>ive<br />

assessment[1]. One derives from our goal to transform classrooms <strong>in</strong>to excit<strong>in</strong>g learn<strong>in</strong>g communities that<br />

encourage students to achieve high levels of learn<strong>in</strong>g. We assume that teachers will make better <strong>in</strong>structional<br />

decisions by engag<strong>in</strong>g <strong>in</strong> <strong>format</strong>ive assessment, lead<strong>in</strong>g to improved student learn<strong>in</strong>g. We also assume that<br />

students will learn more and learn more deeply if they rout<strong>in</strong>ely engage <strong>in</strong> reflection and revision [Brown<br />

1987].<br />

In addition, <strong>format</strong>ive assessment is fundamental to the new standards for <strong>in</strong>struction recommended<br />

by groups such as the [National Research Council 1996] and the [National Council of Teachers of Mathematics<br />

1989]. These standards, based on social constructivist pr<strong>in</strong>ciples of learn<strong>in</strong>g, emphasize the importance of<br />

teach<strong>in</strong>g <strong>in</strong> ways that promote deep understand<strong>in</strong>g by students. Learn<strong>in</strong>g is no longer viewed as the accretion<br />

of new <strong>in</strong><strong>format</strong>ion. Instead, it is viewed as trans<strong>format</strong>ional process where<strong>in</strong> concepts slowly evolve. In this<br />

milieu, teachers are be<strong>in</strong>g asked to adopt a more "cognitive" stance to teach<strong>in</strong>g, for example, to be aware of the<br />

preconceptions that their students br<strong>in</strong>g to new learn<strong>in</strong>g situations, to teach <strong>in</strong> ways that make students'<br />

th<strong>in</strong>k<strong>in</strong>g "visible" to other students and to help students reflect on and reconcile their conceptions with those of<br />

others. Formative assessment is an important part of this new repetoire of teach<strong>in</strong>g behaviors.<br />

In this paper we discuss a model of <strong>in</strong>tegrated <strong>in</strong>struction and assessment that we call SMART<br />

(Special Multimedia Arenas for Ref<strong>in</strong><strong>in</strong>g Th<strong>in</strong>k<strong>in</strong>g). SMART <strong>in</strong>volves <strong>in</strong>teractive use of the <strong>in</strong>ternet and<br />

multimedia software for assessment and <strong>in</strong>struction. In SMART the <strong>in</strong>ternet functions as both a teach<strong>in</strong>g tool<br />

and an assessment tool. We first describe design features of the SMART model, and then discuss an example<br />

from the area of science. In this context we elaborate on details of the tools we developed for the <strong>in</strong>ternet.<br />

----------------------------------------------------------------------<br />

[1] We use the term "<strong>format</strong>ive assessment" to refer to reflective practices by both teachers and students. Formative<br />

assessment by students is synonymous with self-assessment activities where students reflect on their conceptions.<br />

Formative assessment by teachers <strong>in</strong>volves ongo<strong>in</strong>g monitor<strong>in</strong>g of students' knowledge and skills for purposes of<br />

<strong>in</strong>structional decision-mak<strong>in</strong>g.<br />

EVOLUTION OF THE SMART MODEL<br />

The current SMART model derives from close to 10 years of research with students and teachers on<br />

ways to motivate and assess exceptional learn<strong>in</strong>g [Barron, Vye, Zech, Schwartz, Bransford, Goldman,<br />

Pellegr<strong>in</strong>o, Morris, Garrison, & Kantor 1995] [Cognition and Technology Group at Vanderbilt 1994]. Our<br />

<strong>in</strong>itial work focused on mathematics, and was concerned with an approach to <strong>in</strong>struction that we call<br />

"anchored <strong>in</strong>struction." In anchored <strong>in</strong>struction, teach<strong>in</strong>g and learn<strong>in</strong>g are focused around complex problems

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