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Journal of Education and Practice www.iiste.org
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online)
Vol.4, No.10, 2013
127
Application of Analytical Hierarchy Process (AHP) in the
Curriculum
Davood Mirzaei1
Mohamd reza Neyestani 2
Mohammd hossein Heydari*3
Salman Darabi4
1. MA Student, Department of Educational Administration, University of Isfahan, Isfahan, Iran.
2. Assistant Professor, Department of Educational Administration, University of Isfahan, Isfahan, Iran.
3. Assistant Professor, Department of Educational Administration, University of Isfahan, Isfahan, Iran.
4. MA student, Department of Educational Planning, Faculty of Educational Sciences and Psychology,
University of Isfahan, Isfahan, Iran.
* E-mail of the corresponding author: mhheidari1353@gmail.com
Abstract
AHP model as one of the most efficient techniques and as a comprehensive system designed to the multi-criteria
decisions possibility of formulating provides natural complex to hierarchy. This model is a simple calculation on
the matrix that begins for identifying and prioritizing the elements of decision making. Curriculum is a process
including: identifying goals, choosing content, teaching, and learning strategies. The programmer is inevitable to
decision making in each of these stages. In many of stages of the curriculum, to considering political, social and
economic factors, decision making is become difficult. We can use the AHP model in these situations (or normal)
and also convert them to adapting with humans mind and nature in simple form. In other words, Analytical
Hierarchy Process calculates levels of decisions adjusting and judge about being good and bad or acceptable and
unacceptable choices. Thus, this article study application of AHP model in curriculum and introduces it as an
adequate way for decision-making in curriculum process. At last this study indicates application of AHP model
in an example according to teaching-learning strategy.
Keywords: Curriculum, Analytical Hierarchy Process, selecting content, teaching - learning strategies,
identifying goals
1. Introduction
Nowadays dynamic implementation of educational systems and its favorable continuity is influenced by quality
of planning strongly. The curriculum considered as the most important component of educational systems in
every countries. Based on the importance of this, the process of curriculum planning attends literature of
curriculum to itself (Fathi, 2006). This needs decision making as the continuous process in terms of its quality
and methods. Decision making has comprehensive territory in terms of planning and different groups strive to
influence it participation in the curriculum-related decisions (Gouya and Izadi, 2002). In the curriculum process,
starts with circles of assessment and finally leads to review, the planner and related-factors should participate in
decision making processes. There are some factors that lead to difficulties in each step of decision making
process and difficult the correct decisions making. Indeed, it is needed to another factor to choose favorable
Journal of Education and Practice www.iiste.org
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online)
Vol.4, No.10, 2013
128
option and decision, because of multi-criteria decisions and lack of human’s mental balance in order to choosing
the best option.
In the nowadays complex and advanced world, the correct and timely decision making has very important and
determinant role in the quality and successfulness of each project. There are some factors such as number of
measures, data complexity, and environmental dynamics, that difficult issue of decision making. The
hierarchically decisions provide which resolutions that have short-lived and are ineffective that based on Toffler
die before birth (Narimani, 2009). If the uncertainly dimension of human beings decisions don’t consider, its
results could lead to misdirection. Some of our daily terms such as probably and maybe that we use them in our
daily dialogues refer to different levels of uncertainly (Tsaur et al., 2002).
The curriculum plan is a rational and logical process that should perform correctly and consciously. Also it is
should remember that curriculum is the results of decision making about the following issues: goal statement,
choosing and organizing content, learning style and educational experiences, choosing and organizing areas of
curriculum. The planner should decide about needs, culture, and philosophy, ideology of life, learner psychology,
and innovation in order to develop purposes. Also they should develop especial, assessable, accessible, and
timely purposes. The curriculum should answer some questions in terms of choosing content such as, how the
content chosen? In other words what are the criteria of choosing content? Whether the issue is beneficial?
Whether the role of issue is important in excellence of curriculum society? And generally an overall criteria
should is meaning, reliability, social belonging, beneficial, learning competency, and interest. The content that is
based on the society needs is very important. These needs include political, social, communicational, economical,
rationality, technological, morality, beliefs, and aesthetics that each of needs could priories based on its status
and is more important than others (Rezvanfar, 2008).
If the criterion of decision making is more and more, then the problem wills more complex. Also adoption of a
decision requires accepting its outcomes. If the technical, economical, and social outcomes of the curriculum
decision are more, then this problem being consider more important. When number of criterion and complexity
of decision are more than a threshold level, then human’s mind unable to consider all of its dimensions and their
relationships with each other simultaneously (Hale et al., 1382). Therefore utilization of techniques of decisions
especially analytical hierarchical process (AHP) in curriculum planning is inevitable.
There are many internal and external studies that conducted through AHP and much of its application is in terms
of management, geographic, economics, and engineering. Nazemi and others (2010) in their study entitled
“application of combinative model AHP and SWOT in high educations strategic planning” utilized these
methods to evaluation of internal and external factors and the weight of each factor calculated through QSB. The
results of this study indicated that the strengths, opportunity, threats, and weakness are more important than other
factors in strategic planning and environmental analysis. Abtahi and Torabian (2010) in their study entitled “the
examination of realization of high education through AHP” described utilization of AHP models in terms of high
educations and finally identified effective factors and measures on goals. Mehregan and others (2008) in their
study entitled “offering multi-dimensional model in order to allocating teachers to primary schools through
MODM, they also utilized fifteen measures in order to allocating teachers, they also utilize AHP in order to
Journal of Education and Practice www.iiste.org
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online)
Vol.4, No.10, 2013
129
measuring weights. Hoseynzade (2011) utilized AHP and DEA in order to evaluating performance of high
educational centers in Sistan va Baluchistan province and then identified the most important inputs and outputs.
Also it is should remember that there isn’t any internal study in terms of curriculum through AHP.
2. Method of analytical hierarchical process (AHP)
Theoretical fundamentals of analytical hierarchical process (AHP)
The flexible decision making process is a method that transform complex problem to hierarchy and matrixes
with respect to one or more measures. The method of AHP has been used in terms of decision making issues
such as governmental, business, industrial, health, and educational issues (Saaty, 2008), (Raharjo et al., 2009),
(Linkov et al., 2007), (Jyrki et al., 2008), (Forman and Gass, 2001), (Boroushaki and Malczewski, 2008). This is
one of the most efficient methods of multi-criteria decision making techniques that introduced by Thomas L.
Saaty (2008) for the first time and nowadays utilize as one of the systematic approach in order to resolving
multidimensional and complex problems in terms of qualitative data (Vargas, 1990; Lai et al., 1999; Cheng et al.,
2005). AHP includes three steps in order to solving problem (decision making): decomposition, comparative
judgments, and synthesis of priorities (Shyi et al., 2007). This method is based on paired comparisons of factors
and provides examination of different scenarios for planners. This technique is one of the more comprehensive
systems that designed in terms of multi-criteria decision making, because this technique leads to formulation of
complex problem in hierarchical form and then leads to consideration of different qualitative and quantitative
measures in each problem (Saaty, 1986, 1994). The main characteristics of AHP could describe as following: 1)
analytical: this refers to utilizing numbers and figures in inferential analysis, 2) hierarchical: this refers to
decomposition of complex situations with respect to priorities, goals, measures, and options, and 3) process:
refers to this issue that adoption of decision requires multi-criteria examination by different individuals during
different meetings and also apply their viewpoints to resulting (Slahi Sadaghiani, 2001).
Lee and others (2008) described AHP in six steps: 1)defines the unstructured problem and determine goals and
outcomes clearly,2)transforms complex problem trough components of decision to hierarchical structure, 3)
compares measures through paired comparisons between decision’s components, 4) utilizes Eigen values of
comparisons matrix to estimate relative weights of decision components, 5) examines compatibility criteria of
scales to ensure that decision maker’s judgments are integrate, and 6) totalizes relative components of decision
and calculates the final value of options.
Generally the following steps should pass in order to achieving goals (decision making):
The hierarchical structure is a graphic show of actual complex problem that the problem is in itshead and other
levels of it are measures, sub-measures, and options. In this step, we can transform complex problems to simple
form that is compatible with human’s metal and natures through decomposing it (Cimren, 2007). Generally
hierarchical structure maybe consider as one of the following forms (Bowen, 1990; Dyer, 1991; Mau, 2005) 1:
goal- measure- options, 2: goal- measure- sub measure- options.
Overall steps of AHP includes: 1) formation of decision tree or hierarchical structure, 2) formation of paired
comparison matrix for all levels, 3) calculating especial vector for all matrixes, and 4) calculating final weight of
options and ranking them.
Journal of Education and Practice www.iiste.org
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online)
Vol.4, No.10, 2013
130
With respect to existing conditions and characteristics of educational systems in Iran, Maleki (2007) offered the
model with 17 steps to guide practice. These steps include 1) assessment, 2) direct value, 3) determination of
goal, 4) determination of property of goals with educational instruments and activities, 5) choosing content, 6)
organizing content, 7) choosing and organizing learning experiences, 8) choosing teaching-learning strategies, 9)
determination of assessment system, 10) determination of teacher’s role in plan, 11) educational materials, 12)
genesis assessment, 13) broadcasting educational plan, 14) implementation of educational plan, 15) monitoring
and controlling educational plan, 16) final evaluation and 17) reviewing and modifying educational plan.
With respect to this fact that AHP could conduct in each of these steps, two examples of them have been
indicated, in the following sections teaching-learning strategy has been described in details.
1: choosing content: this is the main step in curriculum. There are measures that utilize to choosing content.
Some of these include importance, reliability, interest, benefit, learning competency, flexibility, and attention to
knowledge structure. Each of these measures is prioritized with respect to their importance and their weight and
importance should attend. For instance “importance” introduced as one of the main measures and also has the
most weight in weighting step (Maleki, 2007). There are different methods in order to choosing content such as
empirical method, analytical method, agreement method, and arbitration method. In these, methods of group
discussion focused such as planner’s viewpoint and analysis to choosing content and this helps to individual's
participation in terms of choosing content. For instance, in the arbitration method, individual’s (planner) judges
and finally evaluation conduct based on individual and collective viewpoints and group discussion. Therefore
these strategies are based on mental judgment and the content is complex and comprehensive and the decision
couldn’t conduct based on decision making mentality and inevitably to utilization of scientific methods
(Rezvanfar, 2008).
2: choosing teaching-learning strategy:curriculum planners and teachers choose different methods of teaching
with respect to different factors. Some of these factors include curriculum goals, necessary learning experiences,
student’s interest, learning principles, facilities, resources, and instruments (Maleki, 2007). Also there are some
factors that have more weight in this step such as curriculum goals and comprehensive interest.
The hierarchical structure of this instance includes following steps (based on fig 1, 2):
Level 1: is the head of hierarchical and its main goal is to choose content (fig 1) and choose teaching-learning
strategy (fig 2)
Level 2:this level includes measures such as importance, reliability, interest, benefit, learning competency,
flexibility, and attention to knowledge structure (fig 1), and curriculum goals, necessary learning experiences,
student’s interest, learning principles, instruments, resources, and facilities (fig 2).
Level 3: this level includes options and has three contents (fig 1). These include exploratory learning, speech,
and role playing (fig 2). The hierarchical structure of paired comparison matrix conducts for all levels done after
formation of decision tree or hierarchical structure. Then calculation of especial vector done for all matrixes and
finally their weights measure and their ranks calculate.
[Insert Fig1 about here]
[Insert Fig 2 about here]
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ISSN 2222-1735 (Paper) ISSN 2222-288X (Online)
Vol.4, No.10, 2013
131
2-3: weighting factors: in the AHP, measure of weighting to each informational unit is based on which role that
this unit plays in this layer, and the most weight is for which layer that has maximum effect in determination of
goal (Lopez and others, 1991) (table 1).
[Insert Table 1 about here]
2-4: Development of paired comparison matrixes and normalization of factors
In order to weighting effective factors in prevention of addiction and judging them based on their importance,
paired comparison matrixes and normalization of factors with rate 9 for measures and rate 36 for options have
been developed. In the next step, values of each of paired comparison matrixes’ columns were pluralized and
each component in paired matrixes divided to its column. This is done in order to normalization of paired
comparison matrixes (see equation 1). Then average of components in each row of normalized matrixes
calculated that finally weight vector has been developed (see equation 2).
Equation 1: equation 2:
M= number of columns, n= number of rows, aij= paired comparison matrix rij= normalized matrix and W=
weigh of options
2-5: determination of factor’s final rate (priorities and preferences): in order to this, the principle of
hierarchical combination has been used that leads to identifying prioritized vectors based on the all judgments in
all hierarchical levels (Moreno et al., 2005; Bertolini et al., 2006) (equation 3).
Equation 3:
VH= final rate of option, WK= eight of each measure, gij= weight of options with respect to measures
Examination of compatibly or incompatibly of system
Controlling compatibly of system is one of the important advantages of AHP. In other words, amount of system
compatibly could measure and judge about its favorably or unfavorably and its acceptance or inacceptance. In
order to measuring rate of compatibly, paired comparison matrix (A) multiply with weight vector (W), then good
estimation of λmax W has been calculated, in other words A×W= λmax W. then amount of incompatibly
measure calculated through equation 4 (Ghodsipour, 2008: 71-73).
Equation 4:
Equation 5:
[Insert Table 2 about here]
If the rate of incompatibly is 0.1 or less than it, compatibly of system is acceptable, but if this is more than 0.1,
decision makers should review in their judgments and modify it (Dey et al., 2000).
Journal of Education and Practice www.iiste.org
ISSN 2222-1735 (Paper) ISSN 2222-288X (Online)
Vol.4, No.10, 2013
132
In the following section, an example of choosing teaching-learning strategy through AHP has been described.
The results of paired comparison of choosing teaching-learning strategy and prioritizing these factors have been
offered at the table 3 and 4 and in fig 3 and 4.
[Insert Table 3 about here]
[Insert Fig 3 about here]
[Insert Table 4 about here]
The final weight of choosing teaching-learning strategy in AHP calculated from multiplying measure’s weight in
option’s weight. The results of these indicated in equations 6, 7, 8, 9, 10, and 11 and fig 4.
Equation 6: weight of exploratory learning (0.45 * 0.118) + (0.448* 0.201) + (0.277* 0.681) = 0.3321
Equation 7: Weigh of speech (0.261 * 0.118) + (0.095* 0.201) + (0.277* 0.681) = 0.2389
Equation 8: Weigh of role playing (0.058 * 0.118) + (0.273* 0.201) + (0.072* 0.681) = 0.1114
[Insert Fig 4 about here]
3. Conclusion
Today, because of multiplicity of standards, diversity of needs, interests of students, variety of teaching –
learning methods, the effect of social, political and economic factors, diversity of content, lesson planning has
become changed into a complex system.
So, planners should pay enough attention to the efficiency and effectiveness of their programs. Due to a wrong
and nonscientific decision, Programs may be performed incorrectly and doesn’t have necessary efficiency.
Whatever lesson planning is more logical and subtly, the result would be more logical.
Curriculum is a rational, reasonable and responsible process and should be done carefully and intelligently .In
program planning specifically curriculum planning, Speculation and guess has no place.
Thus, all aspects of the decisions and the criteria of planning and its factors should be considered and the best
options to choose according to scientific method, especially in the selection of content and teaching- learning
strategies.
In this selection, Analytical Hierarchy Process can be the most efficient method because in this process,
according to scientific method, Objectives and sub criteria are selected and prioritized.
However, this method can be used in any phase of lesson planning but the best usage is in a situation that there
are many criteria and selecting is difficult.
Many groups are involved in curriculum planning (interested, competent, influential) which their cooperation
improves the quality of programs and the carelessness of their ideas would reduce the efficiency and
effectiveness of the programs. It shows the personal and non-scientific decision making. While in Analytical
Hierarchy Process (AHP), cooperation of them and even their influence is considered. So AHP as a suitable
method can help to select the right decisions in all phases and Procedures of curriculum planning process.
4. References
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Table 1: weighting factors based on priority
Priorities (oral judgment) Value
Highly preferred, highly important, or highly favorable 9
preferred, important, or very strongly favorable 7
Preferred, important, or strongly favorable 5
Relatively preferred, relatively important, or relatively favorable 3
preferred, important, or similar favorable 1
Priorities between strongly distances 2,4,6,8
Table 2:I.I.R values for random matrixes
N 1 2 3 4 5 6 7 …
I.I.R 0 0 0.58 0.9 1.12 1.24 1.32 …
Table 3: paired comparison matrix, its normalization, and estimation of weight to choosing teaching-
learning strategy
Interest Learning Speech Role Learning Speech Role Estimation
of weight
Exploratory
learning
1 3 6 0.650 0.510 0.610 0.710
Speech 0.333 1 5 .250 .350 0.350 0.230
Role 0.166 0.2 1 0.100 0.140 0.040 0.060
Sum 1.986 4.967 16.5 1 1 1 1
Rate of incompatibly= 0.0023, compatibly of matrix is acceptable
Table 4: paired comparison matrix, normalization, vector of measure’s weight
Vector of
weight
Facilities Goals Interest Facilities Goals Interest Measures
0.117 0.200 0.090 0.175 0.200 0.500 1 Interest
0.203 0.111 0.150 0.200 0.250 1 2 Goals
0.680 0.689 0.760 0.625 1 4 5 Facilities
1 1 1 1 1.45 5.5 8 Sum
Rate of incompatibly= 0.0017, compatibly of matrix is acceptable
Journal of Education and Practice www.iiste.org
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Vol.4, No.10, 2013
136
Journal of Education and Practice www.iiste.org
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137
(facilities importance interest )
exploratory leaning role playing Speech
Fig 4: the final weight of choosing teaching-learning strategy and their priorities

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Application of analytical hierarchy process (ahp) in the curriculum

  • 1. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.4, No.10, 2013 127 Application of Analytical Hierarchy Process (AHP) in the Curriculum Davood Mirzaei1 Mohamd reza Neyestani 2 Mohammd hossein Heydari*3 Salman Darabi4 1. MA Student, Department of Educational Administration, University of Isfahan, Isfahan, Iran. 2. Assistant Professor, Department of Educational Administration, University of Isfahan, Isfahan, Iran. 3. Assistant Professor, Department of Educational Administration, University of Isfahan, Isfahan, Iran. 4. MA student, Department of Educational Planning, Faculty of Educational Sciences and Psychology, University of Isfahan, Isfahan, Iran. * E-mail of the corresponding author: mhheidari1353@gmail.com Abstract AHP model as one of the most efficient techniques and as a comprehensive system designed to the multi-criteria decisions possibility of formulating provides natural complex to hierarchy. This model is a simple calculation on the matrix that begins for identifying and prioritizing the elements of decision making. Curriculum is a process including: identifying goals, choosing content, teaching, and learning strategies. The programmer is inevitable to decision making in each of these stages. In many of stages of the curriculum, to considering political, social and economic factors, decision making is become difficult. We can use the AHP model in these situations (or normal) and also convert them to adapting with humans mind and nature in simple form. In other words, Analytical Hierarchy Process calculates levels of decisions adjusting and judge about being good and bad or acceptable and unacceptable choices. Thus, this article study application of AHP model in curriculum and introduces it as an adequate way for decision-making in curriculum process. At last this study indicates application of AHP model in an example according to teaching-learning strategy. Keywords: Curriculum, Analytical Hierarchy Process, selecting content, teaching - learning strategies, identifying goals 1. Introduction Nowadays dynamic implementation of educational systems and its favorable continuity is influenced by quality of planning strongly. The curriculum considered as the most important component of educational systems in every countries. Based on the importance of this, the process of curriculum planning attends literature of curriculum to itself (Fathi, 2006). This needs decision making as the continuous process in terms of its quality and methods. Decision making has comprehensive territory in terms of planning and different groups strive to influence it participation in the curriculum-related decisions (Gouya and Izadi, 2002). In the curriculum process, starts with circles of assessment and finally leads to review, the planner and related-factors should participate in decision making processes. There are some factors that lead to difficulties in each step of decision making process and difficult the correct decisions making. Indeed, it is needed to another factor to choose favorable
  • 2. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.4, No.10, 2013 128 option and decision, because of multi-criteria decisions and lack of human’s mental balance in order to choosing the best option. In the nowadays complex and advanced world, the correct and timely decision making has very important and determinant role in the quality and successfulness of each project. There are some factors such as number of measures, data complexity, and environmental dynamics, that difficult issue of decision making. The hierarchically decisions provide which resolutions that have short-lived and are ineffective that based on Toffler die before birth (Narimani, 2009). If the uncertainly dimension of human beings decisions don’t consider, its results could lead to misdirection. Some of our daily terms such as probably and maybe that we use them in our daily dialogues refer to different levels of uncertainly (Tsaur et al., 2002). The curriculum plan is a rational and logical process that should perform correctly and consciously. Also it is should remember that curriculum is the results of decision making about the following issues: goal statement, choosing and organizing content, learning style and educational experiences, choosing and organizing areas of curriculum. The planner should decide about needs, culture, and philosophy, ideology of life, learner psychology, and innovation in order to develop purposes. Also they should develop especial, assessable, accessible, and timely purposes. The curriculum should answer some questions in terms of choosing content such as, how the content chosen? In other words what are the criteria of choosing content? Whether the issue is beneficial? Whether the role of issue is important in excellence of curriculum society? And generally an overall criteria should is meaning, reliability, social belonging, beneficial, learning competency, and interest. The content that is based on the society needs is very important. These needs include political, social, communicational, economical, rationality, technological, morality, beliefs, and aesthetics that each of needs could priories based on its status and is more important than others (Rezvanfar, 2008). If the criterion of decision making is more and more, then the problem wills more complex. Also adoption of a decision requires accepting its outcomes. If the technical, economical, and social outcomes of the curriculum decision are more, then this problem being consider more important. When number of criterion and complexity of decision are more than a threshold level, then human’s mind unable to consider all of its dimensions and their relationships with each other simultaneously (Hale et al., 1382). Therefore utilization of techniques of decisions especially analytical hierarchical process (AHP) in curriculum planning is inevitable. There are many internal and external studies that conducted through AHP and much of its application is in terms of management, geographic, economics, and engineering. Nazemi and others (2010) in their study entitled “application of combinative model AHP and SWOT in high educations strategic planning” utilized these methods to evaluation of internal and external factors and the weight of each factor calculated through QSB. The results of this study indicated that the strengths, opportunity, threats, and weakness are more important than other factors in strategic planning and environmental analysis. Abtahi and Torabian (2010) in their study entitled “the examination of realization of high education through AHP” described utilization of AHP models in terms of high educations and finally identified effective factors and measures on goals. Mehregan and others (2008) in their study entitled “offering multi-dimensional model in order to allocating teachers to primary schools through MODM, they also utilized fifteen measures in order to allocating teachers, they also utilize AHP in order to
  • 3. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.4, No.10, 2013 129 measuring weights. Hoseynzade (2011) utilized AHP and DEA in order to evaluating performance of high educational centers in Sistan va Baluchistan province and then identified the most important inputs and outputs. Also it is should remember that there isn’t any internal study in terms of curriculum through AHP. 2. Method of analytical hierarchical process (AHP) Theoretical fundamentals of analytical hierarchical process (AHP) The flexible decision making process is a method that transform complex problem to hierarchy and matrixes with respect to one or more measures. The method of AHP has been used in terms of decision making issues such as governmental, business, industrial, health, and educational issues (Saaty, 2008), (Raharjo et al., 2009), (Linkov et al., 2007), (Jyrki et al., 2008), (Forman and Gass, 2001), (Boroushaki and Malczewski, 2008). This is one of the most efficient methods of multi-criteria decision making techniques that introduced by Thomas L. Saaty (2008) for the first time and nowadays utilize as one of the systematic approach in order to resolving multidimensional and complex problems in terms of qualitative data (Vargas, 1990; Lai et al., 1999; Cheng et al., 2005). AHP includes three steps in order to solving problem (decision making): decomposition, comparative judgments, and synthesis of priorities (Shyi et al., 2007). This method is based on paired comparisons of factors and provides examination of different scenarios for planners. This technique is one of the more comprehensive systems that designed in terms of multi-criteria decision making, because this technique leads to formulation of complex problem in hierarchical form and then leads to consideration of different qualitative and quantitative measures in each problem (Saaty, 1986, 1994). The main characteristics of AHP could describe as following: 1) analytical: this refers to utilizing numbers and figures in inferential analysis, 2) hierarchical: this refers to decomposition of complex situations with respect to priorities, goals, measures, and options, and 3) process: refers to this issue that adoption of decision requires multi-criteria examination by different individuals during different meetings and also apply their viewpoints to resulting (Slahi Sadaghiani, 2001). Lee and others (2008) described AHP in six steps: 1)defines the unstructured problem and determine goals and outcomes clearly,2)transforms complex problem trough components of decision to hierarchical structure, 3) compares measures through paired comparisons between decision’s components, 4) utilizes Eigen values of comparisons matrix to estimate relative weights of decision components, 5) examines compatibility criteria of scales to ensure that decision maker’s judgments are integrate, and 6) totalizes relative components of decision and calculates the final value of options. Generally the following steps should pass in order to achieving goals (decision making): The hierarchical structure is a graphic show of actual complex problem that the problem is in itshead and other levels of it are measures, sub-measures, and options. In this step, we can transform complex problems to simple form that is compatible with human’s metal and natures through decomposing it (Cimren, 2007). Generally hierarchical structure maybe consider as one of the following forms (Bowen, 1990; Dyer, 1991; Mau, 2005) 1: goal- measure- options, 2: goal- measure- sub measure- options. Overall steps of AHP includes: 1) formation of decision tree or hierarchical structure, 2) formation of paired comparison matrix for all levels, 3) calculating especial vector for all matrixes, and 4) calculating final weight of options and ranking them.
  • 4. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.4, No.10, 2013 130 With respect to existing conditions and characteristics of educational systems in Iran, Maleki (2007) offered the model with 17 steps to guide practice. These steps include 1) assessment, 2) direct value, 3) determination of goal, 4) determination of property of goals with educational instruments and activities, 5) choosing content, 6) organizing content, 7) choosing and organizing learning experiences, 8) choosing teaching-learning strategies, 9) determination of assessment system, 10) determination of teacher’s role in plan, 11) educational materials, 12) genesis assessment, 13) broadcasting educational plan, 14) implementation of educational plan, 15) monitoring and controlling educational plan, 16) final evaluation and 17) reviewing and modifying educational plan. With respect to this fact that AHP could conduct in each of these steps, two examples of them have been indicated, in the following sections teaching-learning strategy has been described in details. 1: choosing content: this is the main step in curriculum. There are measures that utilize to choosing content. Some of these include importance, reliability, interest, benefit, learning competency, flexibility, and attention to knowledge structure. Each of these measures is prioritized with respect to their importance and their weight and importance should attend. For instance “importance” introduced as one of the main measures and also has the most weight in weighting step (Maleki, 2007). There are different methods in order to choosing content such as empirical method, analytical method, agreement method, and arbitration method. In these, methods of group discussion focused such as planner’s viewpoint and analysis to choosing content and this helps to individual's participation in terms of choosing content. For instance, in the arbitration method, individual’s (planner) judges and finally evaluation conduct based on individual and collective viewpoints and group discussion. Therefore these strategies are based on mental judgment and the content is complex and comprehensive and the decision couldn’t conduct based on decision making mentality and inevitably to utilization of scientific methods (Rezvanfar, 2008). 2: choosing teaching-learning strategy:curriculum planners and teachers choose different methods of teaching with respect to different factors. Some of these factors include curriculum goals, necessary learning experiences, student’s interest, learning principles, facilities, resources, and instruments (Maleki, 2007). Also there are some factors that have more weight in this step such as curriculum goals and comprehensive interest. The hierarchical structure of this instance includes following steps (based on fig 1, 2): Level 1: is the head of hierarchical and its main goal is to choose content (fig 1) and choose teaching-learning strategy (fig 2) Level 2:this level includes measures such as importance, reliability, interest, benefit, learning competency, flexibility, and attention to knowledge structure (fig 1), and curriculum goals, necessary learning experiences, student’s interest, learning principles, instruments, resources, and facilities (fig 2). Level 3: this level includes options and has three contents (fig 1). These include exploratory learning, speech, and role playing (fig 2). The hierarchical structure of paired comparison matrix conducts for all levels done after formation of decision tree or hierarchical structure. Then calculation of especial vector done for all matrixes and finally their weights measure and their ranks calculate. [Insert Fig1 about here] [Insert Fig 2 about here]
  • 5. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.4, No.10, 2013 131 2-3: weighting factors: in the AHP, measure of weighting to each informational unit is based on which role that this unit plays in this layer, and the most weight is for which layer that has maximum effect in determination of goal (Lopez and others, 1991) (table 1). [Insert Table 1 about here] 2-4: Development of paired comparison matrixes and normalization of factors In order to weighting effective factors in prevention of addiction and judging them based on their importance, paired comparison matrixes and normalization of factors with rate 9 for measures and rate 36 for options have been developed. In the next step, values of each of paired comparison matrixes’ columns were pluralized and each component in paired matrixes divided to its column. This is done in order to normalization of paired comparison matrixes (see equation 1). Then average of components in each row of normalized matrixes calculated that finally weight vector has been developed (see equation 2). Equation 1: equation 2: M= number of columns, n= number of rows, aij= paired comparison matrix rij= normalized matrix and W= weigh of options 2-5: determination of factor’s final rate (priorities and preferences): in order to this, the principle of hierarchical combination has been used that leads to identifying prioritized vectors based on the all judgments in all hierarchical levels (Moreno et al., 2005; Bertolini et al., 2006) (equation 3). Equation 3: VH= final rate of option, WK= eight of each measure, gij= weight of options with respect to measures Examination of compatibly or incompatibly of system Controlling compatibly of system is one of the important advantages of AHP. In other words, amount of system compatibly could measure and judge about its favorably or unfavorably and its acceptance or inacceptance. In order to measuring rate of compatibly, paired comparison matrix (A) multiply with weight vector (W), then good estimation of λmax W has been calculated, in other words A×W= λmax W. then amount of incompatibly measure calculated through equation 4 (Ghodsipour, 2008: 71-73). Equation 4: Equation 5: [Insert Table 2 about here] If the rate of incompatibly is 0.1 or less than it, compatibly of system is acceptable, but if this is more than 0.1, decision makers should review in their judgments and modify it (Dey et al., 2000).
  • 6. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.4, No.10, 2013 132 In the following section, an example of choosing teaching-learning strategy through AHP has been described. The results of paired comparison of choosing teaching-learning strategy and prioritizing these factors have been offered at the table 3 and 4 and in fig 3 and 4. [Insert Table 3 about here] [Insert Fig 3 about here] [Insert Table 4 about here] The final weight of choosing teaching-learning strategy in AHP calculated from multiplying measure’s weight in option’s weight. The results of these indicated in equations 6, 7, 8, 9, 10, and 11 and fig 4. Equation 6: weight of exploratory learning (0.45 * 0.118) + (0.448* 0.201) + (0.277* 0.681) = 0.3321 Equation 7: Weigh of speech (0.261 * 0.118) + (0.095* 0.201) + (0.277* 0.681) = 0.2389 Equation 8: Weigh of role playing (0.058 * 0.118) + (0.273* 0.201) + (0.072* 0.681) = 0.1114 [Insert Fig 4 about here] 3. Conclusion Today, because of multiplicity of standards, diversity of needs, interests of students, variety of teaching – learning methods, the effect of social, political and economic factors, diversity of content, lesson planning has become changed into a complex system. So, planners should pay enough attention to the efficiency and effectiveness of their programs. Due to a wrong and nonscientific decision, Programs may be performed incorrectly and doesn’t have necessary efficiency. Whatever lesson planning is more logical and subtly, the result would be more logical. Curriculum is a rational, reasonable and responsible process and should be done carefully and intelligently .In program planning specifically curriculum planning, Speculation and guess has no place. Thus, all aspects of the decisions and the criteria of planning and its factors should be considered and the best options to choose according to scientific method, especially in the selection of content and teaching- learning strategies. In this selection, Analytical Hierarchy Process can be the most efficient method because in this process, according to scientific method, Objectives and sub criteria are selected and prioritized. However, this method can be used in any phase of lesson planning but the best usage is in a situation that there are many criteria and selecting is difficult. Many groups are involved in curriculum planning (interested, competent, influential) which their cooperation improves the quality of programs and the carelessness of their ideas would reduce the efficiency and effectiveness of the programs. It shows the personal and non-scientific decision making. While in Analytical Hierarchy Process (AHP), cooperation of them and even their influence is considered. So AHP as a suitable method can help to select the right decisions in all phases and Procedures of curriculum planning process. 4. References Abtahi, Sayyed Hoseyn, Tourabian, Mohsen, (2010), the Examination of High Education’s Goals with AHP, Journal of research in Educational Systems, 8(4), pp 31-60.
  • 7. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.4, No.10, 2013 133 Bertolini, M., & Braglia, M., (2006). Application of the AHP methodology in making a proposal for a public work contract. Boroushaki, S., & Malczewski, J., (2008). Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS. Computers & Geosciences, vol. 34(4), Pp.399–410. Bowen, W.M., (1990). Subjective judgments and data environment analysis in site selection, Computer. Environment and Urban Systems, Vol. 14, Pp. 133-144. Cheng, S.-C., Chou, T.-C., Yang, C.-L., & Chang, H.-Y., (2005). A semantic learning for content-based image retrieval usinganalytical hierarchy process. Expert Systems with Applications, vol. 28,Pp.495–505. Cimren, E., Catay, B., Budak, E., (2007). Development of a machine tool selection system using AHP. International Journal of Advanced Manufacturing Technology, vol. 35, Pp. 363–376 Dey, P.K., Ramcharan, E.K., (2000). Analytic hierarchy process helps select site for limestone quarry expansion in Barbados. Journal of Environmental Manage Dyer, R.F., & Forman, E.H., (1991). An analytical approach to marketing decisions, Prentice Hall, USA Fathi, Kourosh, (2006), the examination of Implementer of Different Styles of Decision Making in School’s Curriculum, Journal of Curriculum studies, Vol 1, pp 27-48. Forman, E. H., & Gass, S. I., (2001). The analytical hierarchy process—an exposition. Operations Research, Vol. 49(4), Pp. 469–487. Gouya, Zahra, Izadi, Samad, (2002), the Teacher’s Status in decisions making levels of Curriculum, Journal of Human Sciences, Alzahra University, 12 (42), pp 125-147. Ghodsipour, Hasan, (2008), the Analytical Hierarchal Process, Tehran, Amirkabir university press, 5th edition. Hale, Hasan, Makouyi, Ahmad, Dabaghi, Azade, (2003), Offering the Mathematical Model and Software to Helping Decision making in order to choosing wife, Journal of Women’s research, 5(2), pp 57-80. Hoseynzade Saljoughi, Mohamadjavad, (2001), Evaluation of High Education’s Performance, Journal of Modirsaz, 6 (3,4), pp 75-87. Jyrki, W., Dyer, J. S., Fishburn, P. C., Steuer, R. E., Zionts, S., & Deb, K., (2008). Multiple criteria decision making, multi attribute utility theory: Recent accomplishment sand what lies ahead. Management Science, vol. 54(7), Pp. 1339–1340. Lai, V. S., Trueblood, R. P., & Wong, B. K., (1999). Software selection: Acase study of the application of the analytical hierarchy process to these lection of multimedia authoring system. Information and Management, vol. 36, Pp. 221–232. Lee, A. H.I., Chen, W.C., & Chang, C.J., (2008). A fuzzy AHP and BSC approachfor evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Systems withApplications, vol.34, Pp. 96–107. Linkov, I., Satterstrom, F. K., Steevens, J., Ferguson, E., & Pleus, R. C., (2007). Multi criteria decision analysis and environmental risk assessment for nonmaterial’s. Journal of Nan particle Research, vol. 9(4), Pp.543–554. Lopez, H., J & Zink, J,A., (1991). GIS-assisted Modeling of mass Movements Itc. Journal, vol. 199, Pp. 1-4.
  • 8. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.4, No.10, 2013 134 Mau, J., and et al., (2005). Sitting analysis of farm based centralized anaerobic digester systems for distributed generation using GIS. Biomass and Bioenergy, vol. 28, Pp. 591–600. Mehregan, Mohamadreza, Ajali ghashghalajoghi, Mahdi, Sfavie Mirmahalle, Sayyed Rahim, (2009), Offering Multi-purpose Model for Allocating Managers to Primary schools, Journal of education and learning, Vol 97, pp 93-108. Mehr Mohamadi, Mahmood, (2008), the Analysis of Decentralization Policies from Curriculum plans in Iranian High Education: the Opportunities and Neccesacities, Vol 3, pp 1-11. Maleji, Hasan, Curriculum, Payame Andishe Publishers, 9th edition, Iran, Mashhad. Moreno- Jixenez, J.M., and et al., (2005). A spreadsheet module for consistent consensus building in AHP-group decision making. Group Decision and Negotiation ,vol.14, Pp. 89–108. Narimani, Hamide, (2009), the Systematic Approach in Process of Development planning, Journal of Iranian Association Polymer sciences and engineering, Vol 48, pp 1-5. Najafaghayi, Hamid, Kouzechian, Hashem, Azar, Adel, Ehsani, Mohamad, (2002), the Examination of Manager’s decision making styles in Iranian universities, Journal of Movement, Vol 14, pp 93-107. Nazemi, Shamsaldin, Fathi, Ali, Didekhani, Hoseyn, (2010), Application of Combinative Model of AHP and SWOT Analysis in High Education’s Strategic Planning, Journal of Knowledge, Vol 2, pp 76-96. Raharjo, H., Xie, M., & Brombacher, A. C.. (2009). on modeling dynamic priorities inthe analytic hierarchy process using compositional data analysis. European Journal of Operational Research, vol. 194(3), Pp.834–846. Rezvanfar, Masoume, (2008), Curriculum, Journal of Curriculum Growth, 3(3), pp 47-63. Saaty, T. L., (1980). The analytic hierarchy process. New York: McGraw-Hill. Saaty, T. L., (2008). Relative measurement and its generalization in decision making: Why pairwise comparisons are central in mathematics for the measurement of intangible factors, the analytic hierarchy/network process. Review of the Royal Spanish Academy of Sciences, Series A, Mathematics, vol. 102(2), Pp.251–318 Saaty, T.L., (1986). Axiomatic foundation of analytical hierarchy process. Management science, Vol. 31, No. 7. Salehi Sdaghiani, Jamshid, (2001), the Mathematic Approach to AHP, Journal of Management studies, Vol 32, pp 111-136. Salsibel, Nader, (2007), Pass from Iranian Curriculum toward Decentralization in Designing and Determining Curriculum with Focus on School-based Curriculum, Journal of Curriculum studies, 1(4), pp 49-68. Saaty, T.L., (1994). Highlights and critical points in the theory and application of the analytical hierarchy process. European Journal of operational research, Vol. 74, Pp. 426-447. Shyi-Chyi Cheng a , Ming-Yao Chen b, Hong-Yi Chang b, Tzu-Chuan. C., (2007). Semantic-based facial expression recognition using analytical hierarchy process Expert Systems with Applications, vol.33, Pp. 86–95 Tsaur, S. H., Chang, T. Y., & Yen, C. H.,(2002). The evaluation of airline service quality by fuzzy MCDM. Tourism Management, vol. 23, Pp.107–115 Vargas, L.G., (1990.)An overview of the analytic hierarchy process and its applications. European Journal of Operational Research , vol.48, Pp. 2–8.
  • 9. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.4, No.10, 2013 135 Table 1: weighting factors based on priority Priorities (oral judgment) Value Highly preferred, highly important, or highly favorable 9 preferred, important, or very strongly favorable 7 Preferred, important, or strongly favorable 5 Relatively preferred, relatively important, or relatively favorable 3 preferred, important, or similar favorable 1 Priorities between strongly distances 2,4,6,8 Table 2:I.I.R values for random matrixes N 1 2 3 4 5 6 7 … I.I.R 0 0 0.58 0.9 1.12 1.24 1.32 … Table 3: paired comparison matrix, its normalization, and estimation of weight to choosing teaching- learning strategy Interest Learning Speech Role Learning Speech Role Estimation of weight Exploratory learning 1 3 6 0.650 0.510 0.610 0.710 Speech 0.333 1 5 .250 .350 0.350 0.230 Role 0.166 0.2 1 0.100 0.140 0.040 0.060 Sum 1.986 4.967 16.5 1 1 1 1 Rate of incompatibly= 0.0023, compatibly of matrix is acceptable Table 4: paired comparison matrix, normalization, vector of measure’s weight Vector of weight Facilities Goals Interest Facilities Goals Interest Measures 0.117 0.200 0.090 0.175 0.200 0.500 1 Interest 0.203 0.111 0.150 0.200 0.250 1 2 Goals 0.680 0.689 0.760 0.625 1 4 5 Facilities 1 1 1 1 1.45 5.5 8 Sum Rate of incompatibly= 0.0017, compatibly of matrix is acceptable
  • 10. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.4, No.10, 2013 136
  • 11. Journal of Education and Practice www.iiste.org ISSN 2222-1735 (Paper) ISSN 2222-288X (Online) Vol.4, No.10, 2013 137 (facilities importance interest ) exploratory leaning role playing Speech Fig 4: the final weight of choosing teaching-learning strategy and their priorities