Introduction to Instructional Design

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Instructional Design Introduction Compiled by Dr Zahari Hamidon

Transcript of Introduction to Instructional Design

Page 1: Introduction to Instructional Design

Instructional DesignIntroduction

Compiled by Dr Zahari Hamidon

Page 2: Introduction to Instructional Design

Objective

Justification for Instruction

Basis of ID

ID: Definition

Types of ID Models (Ritchey, 1986)

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Justification for Instruction

• “But I already know that”

• “I don’t need to know that”

• Our goal is to instruct as effectively and as efficient as possible only as long as the need exist – until each student can perform as desired. (Mager, 1995; Kemp, Morrison & Ross, 1998)

• Our job is to help people to grow.(Mager, 1995:5)

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ID based on:Kemp,Morrison & Ross (1998:2)

1 Learning theories

2 Information technology

3 Systematic analysis

4 Management methods

Seels & Glasgow(1998:1)

1. Psychology

2. Systems Approach

3. Communication

Mager (1995:10)

1. Management

2. Performance technology

3. Instruction

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ID: Definition

• “the science of creating detailed specifications for development, evaluation and maintenance of situations which facilitate the learning of both large and small units of subject matter (Ritchey, 1986:9)

• … it is useful to have a basic understanding of curriculum and its relationship to Instructional Design. Developing curriculum is often considered the starting point for instruction (Kemp, Morrison & Ross, 1998:2)

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Types of ID Models (as described by Ritchey, 1986)

• Two kinds of model identified by Harre(1960)– Micromorph• Physical, visual replicas– Eg planetarium and computer simulation– Flowcharts

– Paramorphs• Symbolic models, typically using verbal description– Eg How you describe ‘cold’ in words?

– Paramorph – genarally catergorized into 3 category:• Conceptual model• Procedural model or• Mathematical model

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Conceptual modelVerbal description of a view realityMore likely supported by experience

Procedural modelStraight forward – describe how to perform the taskBased on knowledge of what creates a successful productKnowledge is typically either exeprienced-based or is

derived from another related theory or model

Mathematical modelDescribe the relationships between various components

of a situationTo devise a precise formula, one must have a great deal

of data from similar experiences, so the exact relationships can be determined.

(Ritchey, 1986)