The relation between problem categorization and problem solving among experts and novices
By P. T. Hardiman, R. Dufresne, Jose P. Mestre. 1989
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Manu Kapur
- Susan Rundell Singer
- Samuel B. Day
- Robert L. Goldstone
- Natalie R. Nielsen
- Jose P. Mestre
- J. Elizabeth Richey
- Karl A. Smith
Citations in the corpus
- Productive failure in mathematical problem solving (2010, methodology): “Based on past research, I did not expect students, who were novices with respect to the targeted content of rate and speed, to use the most effective representations and domain-specific methods for solving the problems nor did I expect them to be successful in their problem-solving efforts (Chi et a”
- Comparing Four Instructional Techniques for Promoting Robust Knowledge (2015, background): “…of domains, including computer programming, physics , geometry, medicine, literature, and dance (Adelson 1981; Allard and Starkes 1991; Chi et al. 1981; Hardiman et al. 1989; Koedinger and Anderson 1990; McKeithen et al. 1981; Schmidt and Boshuizen 1993; Schoenfeld and Herrmann 1982; Zeitz 1994).”
- The Import of Knowledge Export: Connecting Findings and Theories of Transfer of Learning (2012, background): “Of course, experts are not completely immune to the influence of surface features (eg, Blessing & Ross, 1996 ; Hardiman, Dufresne, & Mestre, 1989 ).”
- Conceptual problem solving in high school physics (2015, unknown): “underlying principle [25] and to solve problems.”
- Discipline-Based Education Research: Understanding and Improving Learning in Undergraduate Science and Engineering. (2012, background): “Hegarty et al.’s (2010) self-report data from scientists, engineers, and others suggest that large-scale spatial ability may be particularly important in the geosciences, whereas small-scale spatial ability may be particularly important in engineering.”
- Representation in Teaching: Inferences From Research of Expert and Novice Teachers (2003, background): “One aspect of cognition central to this review is that of representation (Adelson, 1981; Chase & Simon, 1973; Chi et al., 1981; Hardiman et al., 1989; Schoenfeld & Herrmann, 1982) and it can be defined as the mental construction, preservation, and interpretation of information of real world object…”
- Looking Beyond Content: Skill Development for Engineers (2008, background): “The research literature on problem solving (Hsu, Brewe, Foster and Harper, 2004) notes that one of the main problems novice problem solvers in physics have is in classifying problems appropriately – for example knowing whether to bring Newton’s second law or energy conservation to bear (Chi, Feltovi”
- Cognitive Aspects of Learning and Teaching Science. (2001, background): “For example, problem categorization tasks (Chi et al., 1981; Hardiman et al., 1989) are useful for helping students identify and discuss the underlying concept(s) that can be applied to solve problems.”