Exam 1_Concepts of instructional design Flashcards

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1
Q

Why do experiential, hands-on materials after basics?

A
  • Context
  • Comprehension, application of theoretical knowledge
  • Prevent reinforcing misconceptions
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2
Q

Guided/explicit instruction

A
  • About 60% of time spent on explanations – once thoroughly rather than to each student individual once they make mistakes
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3
Q

Problem-solving

A
  • Getting from an initial state to a goal state
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4
Q

Different kinds of problems

A
  • Insight problems
  • Transformation problems – sequence of actions bound by rules and restrictions
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5
Q

General problem-solving strategies

A
  • Work for every domain
  • Inefficient
  • E.g. trial-and-error, means-end-analysis
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6
Q

Goal-free effect

A
  • Teach/learn steps of the solution without knowing the goal
  • Avoids means-end-analysis
  • schemata
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7
Q

Functional fixedness

A
  • Phenomenon that it is difficult to come up with a new way to use a tool when a specific function has been assigned to it
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8
Q

Example-based learning

A
  • Studying examples of solutions rather than trying to solve problems
  • Worked example, modelled example, or mixed (e.g. animated example)
  • Based on cognitive, social-cognitive learning theories
  • Whether and how to also incorporate practice problems is relatively inconsequential as long as examples are studied
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9
Q

Scaffolding

A
  • Providing support that is gradually removed as the learner becomes proficient
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10
Q

fading

A
  • reducing the guidance
  • omitting more and more steps from a worked example
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11
Q

Tranfer

A
  • Low road transfer: spontaneous, automatic
  • High road transfer: abstraction of underlying principles, facilitated by expertise
  • Near transfer: only the surface structures are different, the solution is actually the same
  • Far transfer: the solution needs to be adjusted
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12
Q

Schemas

A
  • conceptual frameworks, or clusters of knowledge
  • encode complex generalizations about your experience of the structure of the environment
  • changed through assimilation, accommodation to incorporate new experiences
  • expertise is developed through building increasingly complex schemas from elements of lower-level schemas
  • constitute only a single element in working memory
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13
Q

Expertise reversal effect

A
  • worked example effect is limited to novices, experts tend to do worse with guided instruction
  • If schemas are already in place, instruction aimed at building them leads to redundancy
  • Implication: gradual incorporation of more independent tasks while still providing enough support to minimise cognitive load)
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14
Q

Redundancy effect

A
  • additional information that is not directly relevant to learning, or same information in multiple forms
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15
Q

split-attention effect

A
  • learners need to process more than one source of information simultaneously
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16
Q

modality effect

A
  • using more than one mode of communication increases working memory capacity
  • associated with split attention but offers an alternative technique to reduce cognitive load
  • can lead to redundancy effect
  • modality effect can help overcome the split-attention effect
17
Q

Ill-structured vs well-structured problems

A
  • Well-structured: one solution and one way to get there, initial state, operations and restriction and goal state all clearly defined
  • Ill-structured: some stages unclear, varied approaches possible
18
Q

Wicked problems

A
  • Too ill-defined
19
Q

Self-regulation

A
  • Self-assessment and task selection
  • Self-assessment is notoriously difficult because people tend to overestimate themselves
  • training helps but is not very transferable
20
Q

cognitive theory, analogical reasoning: how schemas guide problem solving: four phases

A
  • encoding of examples – initial schema construction
  • activating relevant analogs (schemas) from memory
  • mapping the new problem to the analog (commonalities and differences)
  • inducing an abstract schema or modifying the initial schema
21
Q

learning process according to Bandura (social cognitive theory)

A
  • cognitive representation of model’s behaviour – outlasts the modelling situation
  • attention on relevant aspects of the model – depends on salience of those aspects as well as characteristics of the model
  • encoding relevant information in memory
  • rehearsal through imitation – quality of imitation depends on quality of cognitive representation and mastery of the component skills
  • motivational processes determine application
22
Q

instructional strategies to practice far transfer by emphasising the underlying principles, abstraction

A
  • self-explanations – understanding the rationale behind the solution
  • interleaved practice – experiencing differences and commonalities between problem categories
  • comparing correct and erroneous examples
  • labelling subgoals
23
Q

imagination effect

A
  • Bandura: “cognitive rehearsal”
  • imagining the material/procedure helps to learn it
  • some prior knowledge required
  • mostly for relatively complex material