Supporting Knowledge Acquisition: Cognitive Foundations and Didactic Tools
Recap of the Previous Session: Learning Processes and Strategies
Definition of Learning:
Learning is defined as a process tied to experience that leads to permanent changes in knowledge or behavior.
These changes are not necessarily positive (one can learn incorrect things) and are not always intended (incidental learning).
Learning requires an interaction between a person and their environment.
Physical maturation (internal development) is explicitly excluded from the definition of learning.
The Three-Phase Model of Learning:
Pre-actional Phase: Occurs before the task. The learner filters the task through two filters:
Filter 1: Can this be handled by existing routines automatically?
Filter 2: If not, what resources are available? (Self-efficacy, energy, emotions). If positive, goals and plans are set.
Actional Phase: The learner applies strategies.
Cognitive and metacognitive strategies are used to process information.
Volitional strategies are used for self-regulation, concentration, and maintaining the will to learn.
Learning quantity is measured by the time invested.
Post-actional Phase: Evaluation of the result.
Assessment of quality and quantity.
Emotional reaction (satisfaction or anger) occurs based on the result, which triggers a new pre-actional phase.
Cognitive Learning Strategies:
Repetition Strategies: Simple strategies like reading aloud or word-for-word copying. Aimed at keeping info in the working memory or anchoring facts in long-term memory. Less effective for complex understanding.
Elaboration Strategies: Linking new info to existing knowledge in long-term memory. Includes paraphrasing and finding examples.
Organization Strategies: Reducing complexity to make info easier to process. Includes MindMaps, graphics, and structures.
Metakognitive Strategies: Steering the process through planning (sub-goals, work steps), monitoring (actual vs. target comparisons), and regulation (adapting strategies based on progress).
Information Processing and the Three-Memory Model
General Concept: Information processing comprises complex memory processes including attention, memorization, practice, forgetting, remembering, and reasoning. The foundational model (Atkinson & Shiffrin, 1968) distinguishes three registers.
1. Sensory Register (Sensory Memory):
Takes in massive amounts of stimulus data through sensory organs (hearing, sight, touch, smell).
Capacity: Huge capacity but extremely short storage duration.
The Bottleneck (Attention): Only stimuli given selective attention pass into the next memory stage. Non-attended stimuli fade immediately.
Factors influencing attention: Task complexity, cueing (bolding, underlining), prior knowledge/experience, individual attention span, and self-monitoring strategies.
2. Working Memory (Short-term Storage):
This is the cognitive "workbench" where new knowledge is actually generated through reasoning and comparison with prior knowledge.
Duration: Information is stored only temporarily.
Capacity: Limited to approximately 7 2 information units (the magic number/memory span).
Components:
Central Executive: Controls and steers information processing and storage.
Phonological Loop: Repeats verbal/auditory information for maintenance (e.g., repeating a phone number).
Visuospatial Sketchpad: Visualizes information in a spatial context.
Episodic Buffer: Integrates spatial and temporal information into episodes.
3. Long-Term Memory (LTM):
Capacity: Virtually unlimited.
Duration: Content is practically permanent, though "inert knowledge" (knowledge that exists but cannot be retrieved) is a common problem.
Sub-systems:
Episodic Memory: Personal situations/events (e.g., first day of school).
Semantic Memory: General concepts, facts, schemas, and definitions.
Procedural Memory: Scripts for actions (e.g., riding a bike, setting a table). These are often executed implicitly and automatically.
Declarative Knowledge Structure:
Stored as a network of Propositions (statements with subject, predicate, and object, e.g., "Vitamin C fights colds"), Schemas (generalized definitions/concepts based on experience, like the concept of "Dog"), and Images/Graphics.
Cognitive Load Theory (CLT)
Core Principle: Because Working Memory is limited but crucial for high-level reasoning, its capacity must be protected from unnecessary burden.
Three Determining Factors:
Complexity/Difficulty of Material: This is often fixed (e.g., a mathematical derivative function).
Learner Prerequisites: Intelligence, prior knowledge, and learning strategies of the individual.
Material Design: This is the variable teachers can change to ensure cognitive load is used effectively for understanding rather than deciphering the medium.
Example Application: Small children need full working memory capacity just to decode letters/syllables. Fluent readers have automated these "low-hierarchy" skills, freeing their working memory for comprehension.
Supporting Knowledge Acquisition (Teaching-Learning Process Model)
Education can support the cognitive side of learning through four specific phases derived from the models by Klauer and Leutner.
1. Informing (Managing Attention)
The goal is to move relevant stimuli through the bottleneck of attention.
Strategies:
Portioning and structuring information (don't present everything at once).
Using clear, short, and stringent sentences.
Highlighting important aspects (color, bold, underlining).
Providing overviews and visual aids (diagrams/graphics).
2. Information Processing (Promoting Understanding)
Requires both Elaborative Processes (linking new facts and prior knowledge) and Reductive Processes (identifying central concepts and structuring them).
Elaboration Tools:
Cognitive Modeling: Thinking aloud to show solving processes.
Comparisons and Analogies: Identifying what is similar or different between concepts.
Discussions: Using different perspectives.
Cognitive Activating Questions: Moving beyond simple facts to deep processing (e.g., "What must have happened for $X$ to occur?", "What commonalities do these concepts share?", "What are the consequences?").
3. Storing and Retrieving (Consolidation)
Overlearning: Spending an additional of the initial learning time to solidify the knowledge after it has been mastered.
Distributed Practice: Studying in small units over time is superior to "cramming" (massed practice/bulimia learning).
Contextual Practice: Practicing steps within the context of the whole process.
Reflective Practice: Understanding the logic behind what is being practiced (e.g., realizing that the Lehr-Lern-Prozessmodell is a tool to operationalize support based on learner competence).
4. Transfer (Application)
Analogous Transfer: Applying knowledge to a very similar context (e.g., using a new word processor on a familiar keyboard).
Transfer of Principles: Applying abstract principles to complex, new problems. This is harder and requires practicing with varied text problems and projects.
Models: Using mental models (like the process models discussed) helps solve practical transfer problems later in professional life.
Text Comprehensibility (Gröben et al.)
When providing text-based information, four dimensions of comprehensibility should be followed:
Stylistic Simplicity: Simple grammar, short sentences, active verbs, avoidance of nominalizations and technical jargon where possible.
Semantic Redundancy: Meaningful repetition of central information. While text should not be wordy, sinngemäße (meaning-based) repetition of core concepts helps storage. Technical terms should be repeated literally for precision.
Cognitive Structuring: Designing the text to support thought processes. Using learning goals at the start, summaries, examples, and Advance Organizers.
Cognitive Conflict: Intentionally building in contradictions, surprises, or alternative solutions to stimulate curiosity and deeper information seeking.
Case Study: Clara’s Biological Reasoning
This example illustrates how the memory types interact in the classroom during a lesson on Vitamin C:
Step A (Storage): Clara has existing propositions in LTM: "Vitamin C fights colds" and "White blood cells destroy viruses."
Step B (New Info): Teacher explains: "Vitamin C promotes white blood cell production."
Step C (Spreading Activation): Hearing "Vitamin C" and "white blood cells" triggers/activates the existing nodes in Clara's memory.
Step D (Inference/Reasoning): In the Working Memory, Clara links all three: "Vitamin C fights colds because it promotes white blood cells, which destroy the viruses causing the cold."
Teachers can support this by: Activating prior knowledge at the start ("Remember our talk on blood cells?") and asking activating questions ("What happens if Vitamin C is absent?").
Empirically Validated Didactic Tools (Meta-analysis Findings)
Based on findings from research like Marzano (2001) and John Hattie, the following tools have the highest effect sizes for learning success:
Identifying Commonalities and Differences: Comparing products or processes (High effect size).
Summarizing and Note-taking: Creating logical condensations of material.
Homework and Practice: Especially for automating skills like reading fluency to reduce cognitive load.
Using Models: Visualizing logical structures to guide thinking.
Goal Setting and Feedback: Clear targets and specific guidance on progress.
Hypothesis Testing: Asking students to formulate causal predictions (e.g., "Why does $X$ follow $Y$?").
Advance Organizers: Using visual/verbal frameworks at the beginning of a lesson to structure incoming info.