Comparing expert and novice understanding of a complex system from the perspective of structures, behaviors, and functions

By C. Hmelo‐Silver, Merav Green Pfeffer. Cognitive Sciences, 2004

549 citations recorded by the source corpus.

Subfields: Developmental and Educational Psychology, Education, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/9dd9279f826ed8fb55a2d41461b4b88b9903d296

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In Developmental and Educational Psychology

In Education

In Experimental and Cognitive Psychology

Citations in the corpus

Arrows in Comprehending and Producing Mechanical Diagrams (2006, background): “Comprehending functional processes is especially difficult for novices, but essential for experts in many domains (e.g., Hmelo-Silver & Pfeffer, 2004; Suwa & Tversky, 1997).”
The challenges of teaching and learning about science in the twenty-first century: exploring the abilities and constraints of adolescent learners (2012, background): “Fortunately, studies of problem solving skills and creativity have been vibrant areas of research for decades and much is known about how to support these skills (Duschl & Grandy, 2008; Hmelo-Silver, 2004; Hmelo-Silver & Pfeffer, 2004; Kind & Kind, 2007; Mayer, 1998; Sternberg, 1999).”
Educating the Developing Mind: Towards an Overarching Paradigm (2011, background): “Interestingly, several scholars proposed variants of these schemes as a means for guiding learning and problem solving in fields as different as engineering (Kalyuga et al. 2010) and biology (Hmelo-Silver and Pfeffer 2004).”
Identifying Essential Epistemic Heuristics for Guiding Mechanistic Reasoning in Science Learning (2018, methodology): “Guided by these commitments, we synthesize existing frameworks for capturing mechanistic reasoning (e.g., Hmelo-Silver & Pfeffer, 2004; Russ et al., 2008; van Mil, Boerwinkel, & Waarlo, 2013; Wilensky & Resnick, 1999), drawing on core epistemic components from each that allow us to identify and…”
Structure, behavior, and function of complex systems: The structure, behavior, and function modeling language (2008, background): “Hmelo-Silver and Pfeffer (2004) have recommended use of interactive environments that enable construction of SBF models to support learning about complex systems.”
Inventing a “Mid Level” to Make Ends Meet: Reasoning between the Levels of Complexity (2008, background): “Hmelo-Silver and Pfeffer (2004) have proposed a framework for exploring and designing learning environments to support students’ understanding of complex systems: Structures, Behaviors, and Functions (SBF).”
Bringing "High-level" Down to Earth: Gaining Clarity in Conversational Programmer Learning Goals (2022, background): “The SBF framework is a general framework for knowledge of designed artifacts, used in cognitive science [8], the learning sciences [13], and design science [10].”
Keeping It Too Simple: How the Reductive Tendency Affects Cognitive Engineering (2004, background): “6,7 In particular, they have implications for our own understanding of the nature of complex sociotechnical systems .”
Fish Swim, Rocks Sit, and Lungs Breathe: Expert-Novice Understanding of Complex Systems (2007, methodology): “This representation was developed in artificial intelligence to support reasoning about designed systems such as electrical circuits and heat exchangers (Goel et al., 1996; Weld, 1983) but only recently has been applied to natural systems (Hmelo et al., 2000; Hmelo-Silver & Pfeffer, 2004).”