Complex Cognitive Processes

Defining Complex vs. Simple Cognitive Processes

• Simple Cognitive Processes: These are basic, often automatic mental activities like attention, perception, storing and memory recall (e.g., remembering multiplication tables).
• Complex Cognitive Processes: These require conscious effort and involve understanding, applying, analyzing, synthesizing, and evaluating information. Bloom Taxonomy is based on the ideas of complex cognitive processes.

Concept Formation and Misconceptions

Concept formation is how individuals categorize ideas by identifying shared features.

• Theories of Concept Formation:
  • Rule Theory: Identifying specific features or strict rules (e.g., a triangle must have three sides). This theory relies on defining attributes or specific features that must be present for something to belong to a category. It is most effective for teaching well-defined subjects like geometry or linguistics. For example: A “Proper Noun” must always begin with a capital letter and refer to a specific, unique entity (e.g., Malaysia, Universiti Teknologi Malaysia).
  • Prototype Theory: Comparing new info to a “best example” or typical member (e.g., a sparrow as a “typical” bird). Instead of strict rules, this theory suggests we use a “best example” or a mental average that represents the most common features of a category. New information is compared to this one ideal image. For example: If you think of a “bird,” you likely picture a standard two-legged animal with a beak, wings and can fly. While an ostrich or a penguin is technically a bird, it is further from your prototype.
  • Exemplar Theory: Storing multiple specific instances in memory to categorize new objects. This theory proposes that we store multiple specific instances (exemplars) in our memory rather than just one “best” version. We categorize new objects by comparing them to this collection of known examples. For example: You recognize a Husky as a dog because you have stored memories of many different types of dogs you have seen before, such as a Poodle, Beagle, or Labrador

• Misconceptions: These are invalid concepts constructed from personal experiences. They include naïve Theories, undergeneralization (excluding relevant items), overgeneralization (including irrelevant items) and incorrect analogies.

• Naïve Theories: It develops when individuals develop on their own without formal instruction or guidance from a teacher or expert. They represent a person’s “best guess” for how something works before they learn the scientific or factual reality. Example: A child might believe the wind is caused by trees waving their branches back and forth.
• Undergeneralization: It occurs when an individual’s definition of a concept is too narrow, leading them to exclude items that actually belong in that category. Example: A student may correctly identify mammals as animals, but incorrectly believe that fish or worms are not animals.
• Overgeneralization: This is the opposite of undergeneralization. It happens when an individual’s definition is too broad, causing them to include irrelevant items that do not belong in the category. Example: Assuming that all animals drink water in exactly the same way humans do.
• Incorrect analogies: This involves using a familiar concept to understand a new one, but picking a comparison that is flawed or misleading, resulting in a misunderstanding. Example: Thinking that human memory works exactly like a video camera that records events perfectly.

Key Thinking Processes in Complex Cognitive Processes

• Reasoning: The logical tool used to derive conclusions and evaluate evidence by drawing conclusions via Deductive (general rules to specific conclusions often through syllogism) or Inductive (specific experiences to general rules) methods.
  • Example of syllogism: Major Premise: All men are mortal. Minor Premise: Ali is a man. Conclusion: Therefore, Ali is mortal.
  • Syllogisms are a core part of Critical Thinking because they allow students to “think clearly and logically” to decide what to believe

• Critical Thinking: Systematically examining evidence and analyzing information rather than accepting it at face value.
• Creativity: Generating original and useful ideas. It is characterized by originality, fluency (many ideas), flexibility, and elaboration.
• Decision Making: A complex cognitive process that involves evaluating alternatives and making choices. This process occurs within the broader context of thinking, where information is manipulated and transformed in the working memory. While making decision by evaluating alternatives, it can be hindered by cognitive biases.

• Cognitive biases: Mental shortcuts that influence our thinking when making decisions, often leading to poor judgment. There are several types of cognitive biases:
  • 1) Confirmation Bias
    • This is the tendency to search for, interpret, or prioritize information that confirms your existing beliefs while ignoring contradictory evidence. The Trap: You only “see” what you want to see. Example: A student who believes a teacher dislikes them will fixate on every strict comment the teacher makes but will completely ignore or downplay instances where the teacher praises their work.
  • 2) Hindsight Bias
    • Commonly known as the “I-knew-it-all-along” phenomenon, this is the tendency to believe, after an event has occurred, that you predicted it or that it was obvious. The Trap: It creates a false sense of certainty about the past and can prevent you from learning from actual mistakes. Example: After receiving a failing grade on an exam, a student might claim, “I knew I was going to fail,” even if they were actually quite optimistic before taking the test.
  • 3) Overconfidence Bias
    • This involves an individual overestimating their own abilities, knowledge, or the accuracy of their judgments. The Trap: It often leads to a lack of preparation because the individual feels they have already mastered the task. Example: A student might be so certain they will excel on a math test that they decide not to study at all, only to be disappointed by the actual results.
  • 4) Belief Perseverance
    • This is the tendency to cling to a belief even after the basis on which it was formed has been completely discredited by strong evidence. The Trap: Unlike confirmation bias (which is about seeking info), belief perseverance is about refusing to let go of a belief in the face of direct proof that it is wrong. Example: A student may continue to believe the stereotype that “girls aren’t good at science” even after watching their female classmates consistently excel and outperform others in science projects.

Metacognition and Problem Solving

• Metacognition: Defined as “knowing about knowing“. It involves Knowledge of Cognition (what you know) and Control of Cognition (planning, monitoring, and evaluating your learning).
• Problem Solving: Moving from an initial state to a desired goal.
  • Strategies: Include Algorithms (step-by-step rules) and Heuristics (mental shortcuts like trial and error or working-backwards).
  • Expertise: Experts spend more time planning and have a larger repertoire of strategies than novices

Transfer of Learning

This is the application of previously learned knowledge to new contexts.

• Positive Transfer: Past learning helps solve new problems; includes Near Transfer (similar contexts) and Far Transfer (different contexts).
• Negative Transfer: Past learning hinders new learning (e.g., assuming a higher number always means more value regardless of currency).