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Creators/Authors contains: "Clement, John J"

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  1. Ippoliti, E; Sterpetti, F (Ed.)
    This chapter first consolidates a set of important heuristic strategies used for constructing innovative scientific models from three books, including studies in the history of genetics and electromagnetism, and an expert think-aloud study in mechanics. Twenty-four strategies are identified, most of which are field-general. Patterns in their use suggest a partially organized hierarchy of interconnected strategies and substrategies, contrary to the view that heuristics are simply tried in random order. Strategies at four different size and time scale levels are described, including larger Modeling Cycle Phases of model generation, evaluation, and modification, each of which can utilize many smaller Tactical Heuristics as substrategies, e.g., analogy, or testing predictions from the model. These in turn can utilize Grounded Imagistic Processes, such as imagistic mental simulation, an important alternative to deduction for evaluating a model by running it. The framework links higher level, serially organized processes with lower level, imagery-based processes. Its intermediate degree of organization is neither anarchistic, nor fully algorithmic. Possible benefits of organization are narrowing the search space involved and balancing sources of model construction and criticism for productive creativity. Unorganized, spontaneous processes are also discussed, along with their possible benefits. 
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    Free, publicly-accessible full text available August 31, 2026
  2. Abstract Reasoning patterns found in Galileo’s treatise on machines, On Mechanics, are compared with patterns identified in case studies of scientifically trained experts thinking aloud, and many similarities are found. At one level the primary patterns identified are ordered analogy sequences and special diagrammatic techniques to support them. At a deeper level I develop constructs to describe patterns that can support embodied, imagistic, mental simulations as a central underlying process. Additionally, a larger hypothesized pattern of ‘progressive imagistic generalization’—Galileo’s development of a model or mechanism that becomes more and more general with each machine while still being imagistically projectable into many machines—provides a way to think about his progress toward a modern explanatory model of torque. By unpacking his arguments, we gain an appreciation of his skillful ability to foster imagistic processes underlying scientific thinking. 
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  3. Examination of matched whole class and small group discussions during use of an interactive physics simulation revealed that in the whole class discussions there was more time spent on important concepts, more time spent addressing student conceptual difficulties, and more episodes providing support for using visual features of the simulations. Abstract: This study investigates student interactions with simulations, and teacher support of those interactions, within naturalistic high school classroom settings. Two lesson sequences were conducted, one in 11 and one in 8 physics class sections, where roughly half the sections used the simulations in a small group format and matched sections used them in a whole class format. Unexpected pre/post results, previously reported, had raised questions about why whole class students, who had engaged in discussion about the simulations while observing them projected in front of the class, had performed just as well as small group students with hands-on keyboards. The present study addresses these earlier results with case studies (four matched sets of classes) of student and teacher activity during class discussions in one of the lesson sequences. Comparative analyses using classroom videotapes and student written work reveal little evidence for an advantage for the small group students for any of the conceptual and perceptual factors examined; in fact, if anything, there was a slight trend in favor of students in the whole class condition. We infer that the two formats have counter-balancing strengths and weaknesses. We recommend a mixture of the two and suggest several implications for design of instructional simulations. 
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  4. This second edition of Charles Camp and John Clement's book contains a set of 24 innovative lessons and laboratories in mechanics for high school physics classrooms that was developed by a team of teachers and science education researchers. Research has shown that certain student preconceptions conflict with current physical theories and seem to resist change when using traditional instructional techniques. This book provides a set of lessons that are aimed specifically at these particularly troublesome areas: Normal Forces, Friction, Newton's Third Law, Relative Motion, Gravity, Inertia, and Tension. The lessons can be used to supplement any course that includes mechanics. Each unit contains detailed step by step lesson plans, homework and test problems, as well as background information on common student misconceptions, an overall integrated teaching strategy, and key aspects of the targeted core concepts. This edition has a number of substantial changes based on teacher input. A number of the lessons are adaptable for college level courses as well. Evaluations using pre-and post-tests have shown large gain differerfces over control groups. 
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