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instructional_design:structural_learning [2011/02/08 16:09]
jpetrovic created
instructional_design:structural_learning [2011/03/16 11:47]
jpetrovic [What is structural learning theory?]
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-===== Structural Learning =====+====== Structural Learning ​Theory ======
  
-Structural learning theory is one of the [[cognitivism|cognitivist]] perspectives on instructional design proposed by [[http://​www.scandura.com/​|Joseph Scandura]] in 1970s. Scandura'​s theory suggests human knowledge is consisted of rules. 
  
-Each rule, according to has domain, range and operation as its parameters. **Domain** refers to its **applicable inputs**, **range** refers its **expected outputs** and **operation** reffers to the **procedure on the inputs**. New rules are learned through application off higher to lower order rules.+===== General =====
  
-In accordance with structural ​learning theory, first step in instructional design ​or learning ​is **definition ​of the problem domain through structural analysis**. Problem domain can be both well- and ill-defined (when rules are quite simple, yet there is no direct complete solution like chess, or poetry writing)In case of an ill-defined ​domain, ​it should be divided into well-defined sub-domains which generate at least one rule. Domain sets the inputs ​and desired outputs for problem solving.+Structural ​learning theory ​is one of the [[learning_paradigms:​cognitivism|cognitivist]] perspectives on instructional design ​proposed by [[http://​www.scandura.com/​|Joseph Scandura]] in 1970s. Scandura'​s theory suggests human **knowledge ​is** consisted ​of **rules** which are to be learnedThose rules are determined by parameters ​of **domain**, **procedure**, and **range**.
  
-Domain definition ​is followed by **construction of hierarchy of rules** ​for well-defined ​domainsRules should ​be explained ​on prototype problemsbut can also leave some **gaps** in problem solving ​procedure, which **are then converted into higher-order ​problems** containing gap rules. Higher-order rules are then used to fill the gapbut can also validate lower level rules.+ 
 +===== What is structural learning theory? ===== 
 + 
 +Structural learning theory suggests that structures (problems) that a learner must learn, need to be formed as **rules** ​performed on a **domain**. 
 + 
 +A domain here is defined ​as a set of characterizing **inputs** and **outputs**Inputs and outputs can be anything, even a process, an idea or a concept. For example: 
 + 
 +  * list of verbs (input) -> present participles (output). 
 + 
 +Operations performed ​on given inputs are called rulesand they generate unique outputs. Rules can contain different levels of abstraction and are always defined with three parameters:​ 
 + 
 +  ​* **domain** - its allowed **inputs**,​ 
 +  * **range** - its expected outputs, and 
 +  * **procedure** - the sequence of **operations** to perform **on the inputs**. 
 + 
 +For example: a rule //form present participle//​ has the domain of all English verbsthe range of present participles and the procedure of adding "​-ing"​ ending to the verb. 
 + 
 +Rules can be simplified into **lower-order rules** (//atomic components//​) ​which represent most basic concepts learner needs to know when dealing with a problem from given domain. By combining these atomic components and application of more complicated to lower order rules new **higher-order ​rules** are derived. Higher-order rules are rules which can have other rules as inputs or outputs (for example mathematical theorems) and they can be used to solve complex problems in the whole domain. 
 + 
 +Structural learning theory further attempts to identify components crucial for solving the given problem and is based on the procedure called //​structural analysis//. Structural analysis is performed in the following steps: 
 + 
 +  - The first step is to identify problem domain inputs and outputsor even only outputs (representative problems). 
 +  - Rules should be defined and explained on each representative problem. Problem domain ​can be both well- and ill-defined((An ill-defined domain is one in which rules are quite simple, yet there is no direct complete solution like chess, or poetry writing.)). In case of an ill-defined domain, it should be divided into well-defined sub-domains which can generate at least one solution rule. 
 +  - Each solution rule should be converted into a new higher-order problem and new higher-order rules for solving them. 
 +  - Redundant rules should be eliminated and the whole process repeated until simple enough rules are reached.
  
 An important part of the theory is also **prior knowledge (rules)** of the learner, that will **enable construction of new rules**. This knowledge can be examined by instructor, that can be both human or artificial. An important part of the theory is also **prior knowledge (rules)** of the learner, that will **enable construction of new rules**. This knowledge can be examined by instructor, that can be both human or artificial.
  
-Structural ​learning theory's applications have been made in **mathematics** ​and **language learning**.+===== What is the practical meaning of structural ​learning theory? ===== 
 + 
 + 
 +===== Criticisms ===== 
 + 
 + 
 +===== Keywords ​and most important names ===== 
 + 
 ===== Bibliography ===== ===== Bibliography =====
  
-[[http://​web.cortland.edu/​frieda/​id/​IDtheories/​4.html|Structural Learning Theory.]]+[[http://​web.cortland.edu/​frieda/​id/​IDtheories/​4.html|Instructional Design Theory Database Project: ​Structural Learning Theory.]] ​Retrieved March 15, 2011.
  
 [[http://​www.odu.edu/​educ/​roverbau/​Class_Websites/​761_Spring_04/​Assets/​course_docs/​ID_Theory_Reps_Sp04/​Scandura_Chapman.pdf|Scandura,​ J. M. Structural learning theory. Instructional Design Theories and Models: An Overview of Their Current Status: p215–245. 1984.]] [[http://​www.odu.edu/​educ/​roverbau/​Class_Websites/​761_Spring_04/​Assets/​course_docs/​ID_Theory_Reps_Sp04/​Scandura_Chapman.pdf|Scandura,​ J. M. Structural learning theory. Instructional Design Theories and Models: An Overview of Their Current Status: p215–245. 1984.]]
instructional_design/structural_learning.txt · Last modified: 2023/06/19 18:03 (external edit)