A NOVICE IS NOT A LITTLE EXPERT — Key Concepts and Teaching Implications
Key idea
- A novice does not simply have less knowledge than an expert; they think differently and organize knowledge differently.
- Expertise involves both more knowledge and a qualitatively different way of using it to solve problems.
Core concepts
- Problem representation:
- Experts categorize problems using deep physics principles and underlying laws (e.g., conservation laws).
- Novices categorize problems by surface features and problem descriptors (e.g., keywords like friction, gravity).
- Schemata:
- Knowledge stored as rich, interconnected schemata in long-term memory.
- Experts possess deep, generalized schemata; novices have simpler, often incomplete schemata.
- Landmarks and categorization:
- Experts recognize problem types by landmarks and states, not just by descriptive terms.
- Novices rely on superficial features and try to match surface cues to past problems.
- Prior knowledge and problem solving:
- Prior knowledge shapes how problems are perceived and solved; deeper knowledge enables quicker, more accurate solutions.
- Deep conceptual knowledge guides problem solving, while surface feature knowledge guides initial interpretation for novices.
Key findings from Chi, Feltovich & Glaser (1979)
- Reading and interpretation differ: experts interpret in terms of underlying principles; novices focus on wording and surface details.
- Categorization differences:
- Experts: deeper, principle-based categorization.
- Novices: description-based categorization.
- Solution strategies:
- Experts link problems to correct solution strategies via deep laws.
- Novices take longer to connect problem to a solution due to lack of deep links.
How experts categorize problems (summary)
- When confronted with a new problem, experts think about the physical conditions and apply appropriate laws before selecting a strategy.
- Prior knowledge acts as a scaffold that accelerates correct categorization and solution planning.
Differences between experts and novices (Table 6.1 interpretation)
- Problem categorisation:
- NOVICES: problem-specific categorisation based on surface features.
- EXPERTS: deeper, generalized categorisation based on underlying physical laws.
- Use of prior knowledge:
- NOVICES: limited schemata; rely on description cues.
- EXPERTS: rich schemata; interpret states and apply laws.
- Approach to solving:
- NOVICES: connect problems to features and described elements.
- EXPERTS: link problems to core principles and solution strategies.
Schemas and concept organization
- SCHEMA: cognitive framework that organizes knowledge for understanding and solving problems.
- Types of knowledge:
- CONCEPTUAL KNOWLEDGE: deep understanding of concepts and principles.
- LANDMARKS: features used to classify and interpret problems (helps with problem matching).
- Role of schemata in learning:
- Beginners have rudimentary schemata; their problem-solving is less efficient.
- Experts have extensive schemata enabling rapid recognition and accurate categorization.
Assimilation and accommodation (Piaget)
- Assimilation: incorporating new knowledge into existing schemata.
- Accommodation: altering schemata to fit new knowledge.
- Misconceptions arise when schemas are incomplete or incorrect; teaching should modify these schemata gradually.
Educational implications
- Beginners are not mini-experts:
- They think differently and require different instructional approaches.
- Epistemology is not pedagogy:
- Teaching methods effective for experts may not work for novices and can be harmful (expertise reversal effect).
- Differentiation from early on:
- Tailor instruction to the learner's prior knowledge and cognitive state.
- Use think-aloud protocols to reveal students’ thinking and miscomprehensions.
- Curse of knowledge:
- Highly knowledgeable instructors may forget the novice perspective and skip essential steps.
Instructional design tips (practical)
- Worked examples with fading guidance:
- Gradually remove steps as learners gain competence (guidance fading).
- Avoid abrupt shifts from worked examples to problems for novices; prefer gradual reduction of support.
- Differentiation in reading and problem-solving tasks:
- Provide pathways that align with students’ current schemata.
- Encourage explicit thinking about problem categorization and solution strategies.
- Activating prior knowledge:
- Connect new content to what students already know; assess and correct misconceptions.
How to use this in teaching
- Do not assume novices are simply smaller versions of experts.
- Differentiate early in the learning process based on prior knowledge and skill level.
- Make thinking processes explicit to help students build correct schemata.
- Create learning activities that help students recognize underlying principles, not just surface features.
Takeaways (from the chapter)
- Beginners aren’t little experts; they think and know differently.
- Children see and learn differently from adults; teaching must reflect this.
- A teaching approach for experts will often fail for beginners; differentiate early.
- Differentiate at an early stage and tailor to prior knowledge.
- Epistemology of the expert is not the proper pedagogy for the learner.
- Beware the curse of knowledge: instructors may forget the novice perspective.
Suggested readings (references)
- Chi, M. T. H., Feltovich, P. J., & Glaser, R. (1979). Categorization and Representation of Physics Problems by Experts and Novices. Cognitive Science, 5, 121–152.
- De Groot, A. D. (1946, 1965). Think/Thought processes in chess; Thought and Choice in Chess.
- Kalyuga, Chandler, & Sweller (1998). Levels of Expertise and Instructional Design.
- Piaget (1952). The Origins of Intelligence in Children; Assimilation & Accommodation.
- Sweller, Ayres, Kalyuga, & Chandler (2003). The Expertise Reversal Effect.
- Schneider & Shiffrin (1977). Controlled and Automatic Human Information Processing.
- Kennedy (1995). Debiasing the Curse of Knowledge in Audit Judgment.