LEARNING Gregory J. Kelly and Richard E. Mayer, Section Editors

Authentic Inquiry: Introduction to the Special Section CLARK A. CHINN, CINDY E. HMELO-SILVER Department of Educational Psychology, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA Received 1 January 2000; revised 8 December 2000; accepted 15 March 2001 INTRODUCTION This special section of four papers explores the issue of authentic scientific inquiry. Our basic premise, presented in the first paper by Chinn and Malhotra, is that many inquiry activities found in schools fail to capture important characteristics of authentic scientific inquiry. By authentic inquiry, we mean the activities that scientists engage in while conducting their research (Dunbar, 1995; Latour & Woolgar, 1986). Chinn and Malhotra present an analysis of key features of authentic inquiry, and show that most of these features have not been incorporated into most inquiry tasks designed for use in schools. Their analysis points to the importance of three research goals: (a) to develop more complex inquiry tasks that incorporate more of the features of authentic scientific inquiry, (b) to investigate reasoning strategies that are effective on these more complex tasks, and (c) to investigate instructional techniques that succeed at helping students learn effective reasoning strategies. Collectively, the remaining three papers in the special section address these three research goals. ° C

2002 Wiley Periodicals, Inc. Sci Ed 86:171 – 174, 2002; DOI 10.1002/sce.10000

CHARACTERISTICS OF AUTHENTIC INQUIRY Recent science standards have emphasized the importance of helping students learn to engage in authentic scientific inquiry. To achieve this goal, students must have the opportunity to engage in authentic inquiry activities. This raises the question of exactly what an authentic inquiry activity is. It is easy to spot inquiry activities that are obviously inauthentic. Authentic inquiry bears little resemblance to the cookbook labs found in many science Correspondence to: Clark A. Chinn; e-mail: [email protected] Contract grant sponsor: National Science Foundation. Contract grant number: 9875485. ° C

2002 Wiley Periodicals, Inc.

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classrooms (AAAS, 1993) or to the very simple forms of inquiry found in textbooks and other curricula (Germann, Haskins, & Auls, 1996). But what about more innovative inquiry activities, such as activities found in some recent curricula or inquiry activities developed by educational researchers? How authentic are these activities? In which respects are these activities authentic, and in which respects are they not? How can we make inquiry activities in schools more authentic? To answer these questions, there is a need for a detailed analysis of what authentic inquiry is. Existing science standards provide pointers but do not provide detailed analyses. The lead paper by Chinn and Malhotra provides an extensive analysis of the features of authentic scientific inquiry. In the first part of their paper, Chinn and Malhotra analyze characteristics of authentic inquiry, contrasting authentic scientific inquiry with the simple forms of science inquiry found in many science curricula, particularly textbook-based curricula. They present their analysis in the form of two taxonomies, a taxonomy of general reasoning processes that characterize authentic scientific inquiry and a taxonomy of key epistemological features of authentic scientific inquiry. To mention just a few of the reasoning processes, authentic scientific inquiry involves designing complex procedures, controlling for nonobvious confounds, planning multiple measures of multiple variables, using techniques to avoid perceptual and other biases, reasoning extensively about possible experimental error, and coordinating results from multiple studies that may be in conflict with each other. The taxonomies developed by Chinn and Malhotra can be treated as criteria to evaluate inquiry tasks in school curricula. In the second part of their paper, Chinn and Malhotra use their taxonomies to analyze two clusters of tasks: 468 hands-on activities in nine science textbooks written for upperelementary and middle school students and 26 inquiry activities developed by researchers in the fields of education and psychology. They find that textbook tasks share almost none of the features of authentic scientific inquiry. Activities developed by researchers do much better, and some recent activities developed by researchers capture a majority of features of authentic inquiry. But there are still some features of authentic inquiry that are only seldom captured by existing inquiry activities, such as a basic concern with methodological flaws and the use of data that are partially theory-laden. The analysis by Chinn and Malhotra points to the need to develop school inquiry activities that incorporate more features of authentic inquiry, and it provides specific criteria that can guide the development of these activities. More authentic inquiry activities will inevitably be relatively complex and cognitively demanding. Chinn and Malhotra point out that little is known at present about the specific reasoning strategies that successful reasoners employ when engaged in complex, authentic reasoning tasks. Hence, one important goal of research is to identify specific strategies that are effective in authentic inquiry. Another important goal is to investigate methods for helping students learn authentic inquiry. Learning complex inquiry goes far beyond learning to control variables in simple situations, and little is known about the development of reasoning strategies for complex tasks. The remaining four papers in the special section address these research goals. They provide exemplars of tasks that capture key features of authentic inquiry. They provide information about the strategies that successful reasoners use when engaged in such activities, and they investigate instructional strategies designed to scaffold the development of complex reasoning. AUTHENTIC TASKS IN LEARNING AND TEACHING The paper by Hmelo-Silver, Nagarajan, and Day employs an innovative computersimulated experimentation task that captures a great deal of the complexity of authentic

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experimentation. Most computer-simulated experimentation tasks developed for students have demanded only that learners control several straightforward variables. The simulation employed by Hmelo-Silver et al. is much more complex. Students plan sophisticated manipulations that involve interactions among key variables. Because variables interact with each other, students need to make complex sets of inferences required to appropriately control variables and interpret the results. Because of the delicate balance between positive and negative outcomes in these trials, students cannot just look at an end result; they need to examine patient histories to see these effects and to understand when to discontinue treatments to avoid irreversible negative outcomes. The Oncology Thinking Cap (OncoTCAP) Clinical Trial wizard provides the opportunity for students to experience many of these characteristics of real clinical trials while providing support for learning about authentic inquiry. Little is known about the reasoning strategies that successful reasoners use on complex experimentation tasks that go beyond the simple control of variables. Hmelo-Silver, Nagarajan, and Day analyze the strategies that successful and less successful reasoners use; this analysis provides insights into the kinds of strategies that could be taught to students when they are engaged in realistic experimentation. Their results are very important to understanding the kinds of reasoning that we want to help students develop as they learn to work with complex reasoning tasks. Shimoda, White, and Frederiksen employ an inquiry task that affords great opportunities for authentic reasoning. They ask students to design a study to test two hypotheses about the best way to learn a list of words. This task has the potential to immerse students into much of the rich theoretical complexity of actual psychological research on memory. For instance, complex issues of control (e.g., counterbalancing) and methodological soundness can arise as students design experiments, and deep theories can be developed that go beyond the superficial features of experiments. Thus, this activity affords highly complex reasoning, which raises the issue of how to scaffold students’ reasoning as they attempt to engage in such a task. Shimoda, White, and Frederiksen have developed an elegant means of scaffolding reasoning in their computer-based SCI-WISE system. SCI-WISE engages students in a sixstep inquiry cycle, which helps the students manage the complexity of authentic reasoning by introducing them to criteria for evaluating their reasoning. Their system of scaffolding holds great promise as a way of providing support to students engaged in complex, authentic reasoning. The final paper in this special section is by Toth, Suthers, and Lesgold, who have investigated the use of complex evidence evaluation tasks in the classroom. In their task, students are presented with evidence bearing on issues such as the cause of the dinosaur extinctions at the end of the Cretaceous period, and they try to decide which theory is better supported by the evidence. A key feature of authentic inquiry that is captured by this task is the need to coordinate alternative theories with many sources of evidence, some of which are or seem to be in conflict. As with the task developed by Shimoda, White, and Frederiksen, there is a danger that the students will be overwhelmed by the complexity of such tasks, and so Toth, Suthers, and Lesgold develop and test two different techniques of providing scaffolding. One technique is to provide students with a representational tool that enables them to organize evidence and theoretical hypotheses within diagrammatic representations. The other is based on the approach embodied in SCI-WISE; students evaluate their own and others’ work according to a rubric of criteria for reasoning. Their study provides empirical support for the use of diagrammatic representations. In summary, Chinn and Malhotra call for the development of inquiry tasks that come closer than many current tasks to invoking the reasoning that scientists employ when they engage in authentic inquiry. They also provide specific criteria to guide the development of these tasks. Together, the authors of the last four papers have responded to the need for more authentic

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inquiry tasks by developing tasks incorporating important features of authentic inquiry that are often absent from inquiry tasks in schools. They have created more authentic contexts and have provided scaffolding to allow learners to deal with the complexity of authentic experimentation. The authors provide important information about what reasoning strategies are effective on complex, authentic reasoning tasks and what instructional approaches can scaffold the development of the complex reasoning strategies that are needed on these tasks. We hope that this set of papers will stimulate further educational inquiry on the topic of authentic scientific reasoning. REFERENCES American Association for the Advancement of Science (AAAS), Project 2061 (1993). Benchmarks for science literacy. New York: Oxford University Press. Dunbar, K. (1995). How scientists really reason: Scientific reasoning in real-world laboratories. In R. J. Sternberg & J. E. Davidson (Eds.), The nature of insight (pp. 365 – 395). Cambridge, MA: MIT Press. Germann, P. J., Haskins, S., & Auls, S. (1996). Analysis of nine high school biology laboratory manuals: Promoting scientific inquiry. Journal of Research in Science Teaching, 33, 475 – 499. Latour, B., & Woolgar, S. (1986). Laboratory life: The construction of scientific fact (2nd ed.). Princeton, NJ: Princeton University Press.

Authentic inquiry: Introduction to the special section

Most computer-simulated experimentation tasks developed for students have demanded only that ... characteristics of real clinical trials while providing support for learning about authentic inquiry. Little is known ... 365–395). Cambridge, MA:.

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