Difference between revisions of "Consistent Language"

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If students become frustrated when elements in the problem are written inconsistently, use the same language throughout the problem.
Use terms, images, notations, and other problem elements consistently throughout the learning activity.


==Context==
==Context==
Students are asked to answer a problem on an online learning system. The system allows students to request for hints to help them solve the problem. Teachers design problems, and their corresponding hints.  
Students are asked to answer problem-solving activities on an online learning system to practice a skill. They are practicing problems with the [[Try_it_yourself | Try It Yourself]] design pattern. The system also provides students with support through feedback such as [[Differentiated_feedback | Differentiated Feedback]], [[Worked_examples | Worked Examples]], and others.  


==Problem==
==Problem==
Students become frustrated when elements in the problem are written inconsistently.
Students are easily confused when terms, figures, or other elements of the problem or hint are used inconsistently.


==Forces==
==Forces==
#'''Working memory.''' Working memory can only hold a limited amount of information over a short period of time especially if it is new information. Cognitive load increases as more information is held in the memory while performing a task<ref name="Sweller2004">Sweller, J. (2004). [http://link.springer.com/article/10.1023%2FB%3ATRUC.0000021808.72598.4d Instructional design consequences of an analogy between evolution by natural selection and human cognitive architecture]. Instructional science, 32(1-2), 9-31.</ref>.  
#'''Working memory.''' Working memory can only hold a limited amount of information. Adding extraneous information unnecessarily increases cognitive load required to store information<ref name="Sweller2004">Sweller, J. (2004). [http://link.springer.com/article/10.1023%2FB%3ATRUC.0000021808.72598.4d Instructional design consequences of an analogy between evolution by natural selection and human cognitive architecture]. Instructional science, 32(1-2), 9-31.</ref>. For example, using the × and  symbols interchangeably to indicate multiplication will require students to remember both symbols<ref>Polya, G. (2014). [https://books.google.com/books?hl=en&lr=&id=X3xsgXjTGgoC&oi=fnd&pg=PP2&dq=How+to+Solve+It:+A+New+Aspect+of+Mathematical+Method:+A+New+Aspect+of+Mathematical+Method&ots=t6Pq_QrLr8&sig=DHb05lc8EcMqffgK60RWUSK0boQ#v=onepage&q=How%20to%20Solve%20It%3A%20A%20New%20Aspect%20of%20Mathematical%20Method%3A%20A%20New%20Aspect%20of%20Mathematical%20Method&f=false How to Solve It: A New Aspect of Mathematical Method: A New Aspect of Mathematical Method]. Princeton university press.</ref>.  
#'''Split-attention effect.''' Unnecessary processing of information imposes a cognitive load that interferes with learning. High cognitive load impairs performance, which could increase the difficulty of a learning task<ref name="Sweller2004"/>.  
#'''Split-attention effect.''' Unnecessary processing of information adds cognitive load that interferes with learning<ref name="Sweller2004"/>. For example, two different figures are used in the problem statement and in the hint, but they mean the same thing. This requires the student to compare and contrast the figures before using them to make inferences.  
#'''Affect.''' When students experience too much difficulty or get stuck in trying to solve a problem, they are likely to disengage from the activity<ref>D’Mello, S., and Graesser, A. (2012). [http://www.sciencedirect.com/science/article/pii/S0959475211000806 Dynamics of affective states during complex learning]. Learning and Instruction, 22(2), 145-157.</ref>.
#'''Limited resources.''' Student attention and patience is a limited resource<ref>Arnold, A., Scheines, R., Beck, J.E., and Jerome, B. (2005). [http://www.aaai.org/Papers/Workshops/2005/WS-05-02/WS05-02-009.pdf Time and attention: Students, sessions, and tasks]. In Proceedings of the AAAI 2005 Workshop Educational Data Mining (pp. 62-66).</ref><ref>Bloom, B.S. (1974). [http://psycnet.apa.org/journals/amp/29/9/682/ Time and learning]. American psychologist, 29(9), 682.</ref>). Students may give up if they are overwhelmed by too many extraneous tasks they need to manage while learning.
#'''Limited resources.''' Student attention and patience is a limited resource possibly affected by pending deadlines, upcoming tests, achievement in previous learning experiences, motivation, personal interest, quality of instruction, and others<ref>Arnold, A., Scheines, R., Beck, J.E., and Jerome, B. (2005). [http://www.aaai.org/Papers/Workshops/2005/WS-05-02/WS05-02-009.pdf Time and attention: Students, sessions, and tasks]. In Proceedings of the AAAI 2005 Workshop Educational Data Mining (pp. 62-66).</ref>.  


==Solution==
==Solution==
Therefore, use the same language throughout the problem.  
Therefore, use the same language throughout the problem. The term [https://en.wikipedia.org/wiki/Language_(disambiguation) language] is used broadly to include different elements of the problem such as term usage, text formatting, color usage, notations, visual representations, and so forth.


The term [https://en.wikipedia.org/wiki/Language_(disambiguation) language] is used loosely to refer to different aspects of the problem such as term usage, text formatting, color usage, notations, visual representations, and others.


==Consequences==
==Consequences==


===Benefits===
===Benefits===
#Students will keep track of less information in working memory.
#Students need to keep track of less information in working memory.
#Students do not need to spend unnecessary effort to discover the relationship between different representations used in the problem.
#Students do not need to spend unnecessary effort to discover the relationship between different representations used in the problem.
#Students understand problems easier and are more likely to be engaged.
#Straightforward tasks are easier to manage and are less likely to cause students to feel overwhelmed.
#Students with better learning experiences are more inclined to continue learning.


<!--===Liabilities===
===Liabilities===
<-- List of liabilities from applying the solution to the problem Each entry is preceded by an * For example:
#There are some cases when inconsistent problem elements are needed to introduce desirable difficulty<ref>Bjork, R.A. (1994). [http://psycnet.apa.org/psycinfo/1994-97967-009 Memory and metamemory considerations in the training of human beings]. In J. Metcalfe and A. Shimamura (Eds.), Metacognition: Knowing about knowing. (pp.185-205). Cambridge, MA: MIT Press.</ref>. For example, using a different figure in a [[Worked_example | Worked Example]].
# Entry 1
#Students may not learn other representations if they are exposed to the same ones every time.
# Entry 2 -->
#It is more difficult to reuse existing content because it needs to be modified to ensure that it uses a language consistent to the problem.


==Evidence==
==Evidence==
Line 51: Line 48:


===Discussion===
===Discussion===
Shepherds and stakeholders (i.e., data mining experts, ITS experts, and educators) agreed that the problem recurs in online learning systems and the solution could properly address the problem.
Shepherds, writing workshop participants, and learning system stakeholders (i.e., data mining experts, learning scientists, and educators) agreed that the problem recurs in online learning systems and the solution could properly address the problem.


===Data===
===Data===
According to an [[Analysis:Student_affect_and_interaction_behavior_in_ASSISTments#language | analysis of ASSISTments’ data]], frustration correlated with problems that used its elements inconsistently. For example, a math problem dealing with angles used the degree notation inconsistently – “Subtract the given angle from 180°. 180 - 47 = 133.” In another instance, different instructions for inputting the answer were given in the problem and in the hints.
According to an [[Analysis:Student_affect_and_interaction_behavior_in_ASSISTments#language | analysis of ASSISTments’ data]], frustration correlated with problems that used its elements inconsistently. For example, a math problem dealing with angles used the degree notation inconsistently – “Subtract the given angle from 180°. 180 - 47 = 133.”  


<!--===Applied evaluation===
<!--===Applied evaluation===
<-- Results from randomized controlled trials (RCTs) or similar tests that measures the pattern's effectiveness in an actual application. For example, compare student learning gains in an online learning system with and without applying the pattern. -->
<-- Results from randomized controlled trials (RCTs) or similar tests that measures the pattern's effectiveness in an actual application. For example, compare student learning gains in an online learning system with and without applying the pattern. -->


==Related patterns==
==Example==
Using elements consistently throughout the problem help build a Familiar language<ref>Van Duyne, D.K., Landay, J.A., and Hong, J.I. (2007). [http://dl.acm.org/citation.cfm?id=548998 The Design of Sites]. Prentice Hall, Upper Saddle River, NJ.</ref> for students. When they answer similar problems in the future, they can easily understand them. Less effort will be needed to discover relationships between different representations in the problem.
Most online learning systems adhere to instructional designs, specifically using a Consistent Language. Three notable online learning systems, which were also reported to lead to significantly better student learning, are Cognitive Tutor Algebra <ref>Koedinger, K. R., and Aleven, V. (2007). [http://link.springer.com/article/10.1007/s10648-007-9049-0 Exploring the assistance dilemma in experiments with cognitive tutors]. Educational Psychology Review, 19(3), 239-264.</ref>, Cognitive Tutor Geometry <ref>Aleven, V., Mclaren, B., Roll, I., and Koedinger, K.  (2006). [http://content.iospress.com/articles/international-journal-of-artificial-intelligence-in-education/jai16-2-02 Toward meta-cognitive tutoring: A model of help seeking with a Cognitive Tutor]. International Journal of Artificial Intelligence in Education, 16(2), 101-128.</ref> and ASSISTMents (Heffernan and Heffernan 2014).


==Example==
Figure a shows an example of a problem and its corresponding hints with an inconsistent language. The hint uses a different figure, orientation, and color to represent the angle. Students will need to analyze the hint and relate it to the problem before it can be used to make inferences. Figure b shows an example of a problem and its corresponding hints that uses a consistent figure. It will probably take students less time to process, understand, and utilize these hints to make inferences.
When a teacher designs a problem involving angles, he/she uses the degree notation consistently to refer to angles. The same notation is also used in the hints and instructions associated with the problem.


[[File:Consistent_language_ex.png | center|800px]]
[[File:Consistent_language_ex.png | center|800px]]
==Related patterns==
Use the [[Familiar_language | Familiar Language]] design pattern when selecting the representation for creating a [[Consistent_language | Consistent Language]] to facilitate understanding . It is good practice to use a [[Consistent_language | Consistent Language]] to develop any type of content in an online learning system.





Revision as of 06:36, 12 April 2016


Consistent Language
Consistent language.png
Contributors Paul Inventado, Peter Scupelli
Last modification April 12, 2016
Source {{{source}}}
Pattern formats OPR Alexandrian
Usability
Learning domain General
Stakeholders Teachers
Students
Production
Data analysis Student affect and interaction behavior in ASSISTments
Confidence
Evaluation PLoP 2015 writing workshop
Talk:ASSISTments
Application ASSISTments
Applied evaluation ASSISTments

Use terms, images, notations, and other problem elements consistently throughout the learning activity.

Context

Students are asked to answer problem-solving activities on an online learning system to practice a skill. They are practicing problems with the Try It Yourself design pattern. The system also provides students with support through feedback such as Differentiated Feedback, Worked Examples, and others.

Problem

Students are easily confused when terms, figures, or other elements of the problem or hint are used inconsistently.

Forces

  1. Working memory. Working memory can only hold a limited amount of information. Adding extraneous information unnecessarily increases cognitive load required to store information[1]. For example, using the × and  symbols interchangeably to indicate multiplication will require students to remember both symbols[2].
  2. Split-attention effect. Unnecessary processing of information adds cognitive load that interferes with learning[1]. For example, two different figures are used in the problem statement and in the hint, but they mean the same thing. This requires the student to compare and contrast the figures before using them to make inferences.
  3. Limited resources. Student attention and patience is a limited resource[3][4]). Students may give up if they are overwhelmed by too many extraneous tasks they need to manage while learning.

Solution

Therefore, use the same language throughout the problem. The term language is used broadly to include different elements of the problem such as term usage, text formatting, color usage, notations, visual representations, and so forth.


Consequences

Benefits

  1. Students need to keep track of less information in working memory.
  2. Students do not need to spend unnecessary effort to discover the relationship between different representations used in the problem.
  3. Straightforward tasks are easier to manage and are less likely to cause students to feel overwhelmed.

Liabilities

  1. There are some cases when inconsistent problem elements are needed to introduce desirable difficulty[5]. For example, using a different figure in a Worked Example.
  2. Students may not learn other representations if they are exposed to the same ones every time.
  3. It is more difficult to reuse existing content because it needs to be modified to ensure that it uses a language consistent to the problem.

Evidence

Literature

Peterson and Peterson[6] found that unfamiliar combinations of letters could only be held in memory for a few seconds. In a different study, Miller[7] indicated that working memory could only hold five to nine chunks of unfamiliar information at a time. Learners are more likely to perform better when working memory is not overloaded by unnecessary information[1].

Discussion

Shepherds, writing workshop participants, and learning system stakeholders (i.e., data mining experts, learning scientists, and educators) agreed that the problem recurs in online learning systems and the solution could properly address the problem.

Data

According to an analysis of ASSISTments’ data, frustration correlated with problems that used its elements inconsistently. For example, a math problem dealing with angles used the degree notation inconsistently – “Subtract the given angle from 180°. 180 - 47 = 133.”


Example

Most online learning systems adhere to instructional designs, specifically using a Consistent Language. Three notable online learning systems, which were also reported to lead to significantly better student learning, are Cognitive Tutor Algebra [8], Cognitive Tutor Geometry [9] and ASSISTMents (Heffernan and Heffernan 2014).

Figure a shows an example of a problem and its corresponding hints with an inconsistent language. The hint uses a different figure, orientation, and color to represent the angle. Students will need to analyze the hint and relate it to the problem before it can be used to make inferences. Figure b shows an example of a problem and its corresponding hints that uses a consistent figure. It will probably take students less time to process, understand, and utilize these hints to make inferences.

Consistent language ex.png

Related patterns

Use the Familiar Language design pattern when selecting the representation for creating a Consistent Language to facilitate understanding . It is good practice to use a Consistent Language to develop any type of content in an online learning system.


References

  1. 1.0 1.1 1.2 Sweller, J. (2004). Instructional design consequences of an analogy between evolution by natural selection and human cognitive architecture. Instructional science, 32(1-2), 9-31.
  2. Polya, G. (2014). How to Solve It: A New Aspect of Mathematical Method: A New Aspect of Mathematical Method. Princeton university press.
  3. Arnold, A., Scheines, R., Beck, J.E., and Jerome, B. (2005). Time and attention: Students, sessions, and tasks. In Proceedings of the AAAI 2005 Workshop Educational Data Mining (pp. 62-66).
  4. Bloom, B.S. (1974). Time and learning. American psychologist, 29(9), 682.
  5. Bjork, R.A. (1994). Memory and metamemory considerations in the training of human beings. In J. Metcalfe and A. Shimamura (Eds.), Metacognition: Knowing about knowing. (pp.185-205). Cambridge, MA: MIT Press.
  6. Peterson, L. and Peterson, M. (1959). Short-term retention of individual verbal items. Journal of Experimental Psychology 58: 193–198.
  7. Miller, G.A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review 63: 81–97.
  8. Koedinger, K. R., and Aleven, V. (2007). Exploring the assistance dilemma in experiments with cognitive tutors. Educational Psychology Review, 19(3), 239-264.
  9. Aleven, V., Mclaren, B., Roll, I., and Koedinger, K. (2006). Toward meta-cognitive tutoring: A model of help seeking with a Cognitive Tutor. International Journal of Artificial Intelligence in Education, 16(2), 101-128.