SlideShare ist ein Scribd-Unternehmen logo
1 von 13
DEPARTMENT OF BIOLOGY
             FACULTY OF SCIENCE AND MATHEMATICS
               UNIVERSITI PENDIDIKAN SULTAN IDRIS


                            SSI 3013
     INFORMATION AND COMMUNICATION TECHNOLOGY IN SCIENCE


                      SEMESTER 1 2012/2013


          STELLA: SIMULATION IN TEACHING AND LEARNING



NO             STUDENT’S NAME                MATRIC NUMBER
1.    VIVIANA VELENTHIA MICHEAL              D201010XXXXX




                       LECTURER’S NAME
                         AZMI IBRAHIM


              DATE OF SUBMISSION: 3 DECEMBER 2012
CONTENT                                                                         PAGE

1.0   Introduction                                                               1


2.0   Simulation in education                                                    2

      2.1   STELLA software and example of its usage in teaching and learning    3
            2.1.1 The Pendulum Experiment                                        3


3.0   The Benefit of using simulation in teaching and learning                   5

      3.1   Motivate the students                                                5
            3.1.1 Allow experiment exploration                                   5
            3.1.2 Provide risk free environment                                  6

      3.2    Allow students to analyze data and predict future outcome           7

      3.3    Students can practice problem solving skills                        7


4.0   Computer simulation in Science education                                   8

      4.1    Help students visualize “invisible” science process                 8

      4.2    Teacher has more time to interact with students                     8


5.0   Limitations of simulations                                                 9


6.0   Conclusion                                                                 10



      Reference
1.0    Introduction

       Simulation. In a glance, this word is may thought be most familiar among those guys who
work with the computers. What is simulation actually? And who can use simulation? According
to the Oxford English Dictionary, simulation is “the technique of imitating the behaviour of
some situation or system (Economic, Mechanical etc.) by means of an analogous model,
situation, or apparatus, either to gain information more conveniently or to train personnel."
Hartmann (1996) define simulation as “a process which mimics the relevant features of a target
process”. From the educational perspective, Diana Laurillard in “Rethinking University
Teaching”2 states: “A computer-based simulation is a program that embodies some aspect of the
world, allows the user to make inputs to the model, and displays the results.”

       In other words, simulation is indeed a method to represent complex relations in an easier
way and in lesser time. Simulation can be performed by anyone in many areas. They just need
the software or tools to run it. In educational purpose, commercial, financial, logistics, health or
research purpose, simulation can be applied. Even children can perform simulation as their tools
of learning. In this essay, we are going to focus on the use of simulation in education as a method
in teaching and learning process.
2.0    Simulation in education

       Simulation is not something that new in education. It has been practiced for many
decades as a tool supporting the traditional approach of learning. Throughout this time, education
continues to evolve to meet the society demand of this globally changing world. Most of the
students nowadays have been exposed to the high technology gadgets such as smart phone, tabs,
and video games since their young age. Therefore, in education the traditional chalk and talk and
mere lecture method will give students the perspective that learning is a boring, classic, and less
interesting process. For that reason, many simulations software have been developed for
educational purposes.

       The main goal of traditional teaching method is to achieve the learning objectives and to
maximize student’s content knowledge. Students are also trained to memorize the knowledge so
that they can recall the knowledge during exam. Other than can make student feel stressed and
bored, this old method also doesn’t require students problem solving and thinking skill. Not to
say that old method cannot be used anymore; in fact the old method has produced many great
scientist and thinker. But the new method of simulation should be integrated into the teaching
and learning process as the new generation needs the new the environment of learning that suit
their curious high-tech mind.

       Simulation can be used in many subjects in school. The easiest example is in science
subject which require many experimentations. One example of the simulation software suitable
for learning science is the STELLA software. This software is user friendly and also suitable for
student’s age user.
2.1    STELLA software and example of its usage in teaching and learning

       STELLA is software developed by isee system. According to the product info of
STELLA, this software allow user to communicate with the simulation to understand how a
system works, what goes in, how the system is impacted, and what are the outcomes. A common
characteristic in simulation is that user can control or manipulate the parameter in the simulation
and see how the result is.

2.1.1 The pendulum experiment

       Here is one example of STELLA application in a physics experiment, the pendulum. By
manipulating the parameter such as length of string, mass of bob, and initial displacement,
student can see the result or outcome in the form of graph.




                                                              -       The first graph of the pendulum
                                                                      oscillation
                                                              -       String length 0.5cm
                                                              -       Manipulated variable: length of string
                                                              -       Constant variable: mass of bob, initial
                                                                      displacement




                                                                  -    Second and third graph is added
                                                                  -    String length 1.0cm, and 1.5cm.
                                                                  -    Manipulated variable: length of string
                                                                  -    Constant variable: mass of bob, initial
                                                                       displacement
                                                                  -
-       The first graph of the pendulum oscillation
                                                           -       Initial displacement: 0.5cm, 1.0cm, 1.5cm
                                                           -       Manipulated variable: length of string
                                                           -       Constant variable: mass of bob




                                                               -     The graphs of the pendulum oscillation
                                                               -     Mass of bob: 0.5g, 1.0g, 1.5g
                                                               -     Manipulated variable: mass of bob
                                                               -     Constant variable: length of string, initial
                                                                     displacement




       From the graphs, it can be seen that student can manipulate the variables however they
want. In this case, student can manipulate the length of string, mass of bob, and the initial
displacement. When different value is selected, once the student hit “run”, another different
curve of graph is formed. After several trial performed, students can see the trend or pattern of
the graph formed. In addition, students also will know if a parameter is not affecting the result of
experiment. Even after manipulating the value of the parameter, same curve of graph will be
formed. It will just overlap with the existing graph; for example is the parameter of mass of bob
in graph 3. Three values of mass were used but only one curve of graphs is formed. Furthermore,
simulation also allows students to repeat the experiment over and over again until they
understand the experiment.
3.0    The benefit of using simulation in teaching and learning

       Simulations can be powerful active learning experiences. Finding suitable simulation
exercises is a challenge in some fields and integrating them into the content and objectives of the
course requires careful planning and execution. However, this extra work is justified given what
a good simulation can accomplish in class.




3.1    Motivate the students

The purpose of an educational simulation is to motivate the learner to engage in problem solving,
hypothesis testing, experiential learning, schema construction, and development of mental
models (Winn & Snyder, 1996; Duffy & Cunningham, 1996).

Using simulation in teaching and learning is really an effective method to motivate students and
to gain their interest towards learning. Simulation can motivate students in several ways. It
includes the ability of simulation to create a risk free environment and allow students to explore
the simulation.




3.1.1 Allow experiment exploration

       Since the students nowadays are very familiar with the computers and games, using
simulation enhance their interest and motivation to learn. They need the environment of learning
that requires them to explore which suit their curious high-tech mind.

       Simulations allow students to interact with the simulations. Most simulations are
designed with a flexible architecture that allows their variables to be altered. Therefore, students
can change any parameter in the simulation and observe how the simulated outcomes changes.
By directly modifying a model, students can experiment with the behavior of the models in a
number of different scenarios. By doing a simulation too, students can relate it with the content
knowledge and with the real life.
The main goal of simulation is to allow the motivated students to have a deeper
understanding of the experiment or model they simulate. With the animated outcomes such as
graph plotting, charts, relations, and diagram, students will have a better picture of the process.
Other than that, of course animated and interesting interface of the simulations can attract the
students’ interest to learn.




3.1.2 Provide risk free environment

        There is nothing like risk free environment in the real life. In fact, failure is seen as a
necessary experience for learning. However, in school, one of the factors that make students
feels lazy to learn something is that because they fed up of being wrong and to fail without the
chance to improve. This is mostly because of the time constraint in carrying out experiment in
school. Cost involving the materials and set up of the experiment also caused the experiment
cannot be done repeatedly. By using simulation, students do not come to fear failure. If they fail,
simulation provides them with the chances to go back and modify their strategy until they have
achieved a successful result. Therefore they will be motivated to learn and treasure more
knowledge. Consequently, failure will become part of the learning process that will lead to
students’ improvement in that area of knowledge, not the end of their involvement in it.

        Using simulation also allow students to improve the skills of learners in a way that does
not affect actual outcomes. There are situations where the materials used and skills performed
may affect health and risk the safety of the students as well as the apparatus or materials
involved. When in real life the cost of failure is often extremely high, simulation can be an
advantage. Simulation allows students to carry out the simulated experiment and allow them to
fail occasionally in their course of their learning process but not affecting them in the real world.
3.2    Allow student to analyze data and predict future outcome

       Simple analysis to predict something can be done by anyone. However, as the complexity
of the analysis increases, so does the need to employ computer-based tools. One of the tools is
simulation. With all the necessary study data, simulation can be useful in predicting the future
outcome.

       In real life no one can predict the future accurately, but we still can study the pattern for
the highest probability that it will occur. By using simulation, students can study the trend of the
outcome whenever they manipulate any variable. The outcome for example in the form of graph
is usually observed over time. When the simulation is run several times, students can see the
trend of the change in the graph. Take the graph from the pendulum experiment, it can be seen
that the graph have certain pattern and the next graph can be predicted.

       Analyzing and predicting data using simulation can enhance students’ thinking skills and
also problem solving skill. Other than that, this process also can give student the introduction on
how to do a research, which they will do in their higher level of education later.




3.3    Student can practice problem solving skills

       Learning will be more meaningful when students can relate what they study with the real
world situation. Simulation is tools that can make students feel closer to the real world. It is
probably impractical to consider transforming every classroom setting into a situated learning
environment. However, it is possible to bring some of the benefits of situated learning into the
conventional classroom setting by using simulation. Simulations facilitate situated learning by
providing interactive practice of real-world skills, focusing on the essential elements of a real
problem or system.

       Problem solving skill is an important skill that everybody should acquire. Students can
develop this skill through real life experience, and training. One of the other ways to develop this
skill is through learning with the assistance of simulation. In simulation, there are often scenario-
based problems that reflect a situation the learner would encounter in the real world. The
simulation presents the environment, authentic information sources and the tools to let the
student solve the problem and test their knowledge.




4.0    Computer simulation in science education

       In science education, computer simulation is used because simulations are simplified
versions of the natural world. They are usually used to represent the experiment that is hard to be
carried out in laboratory because of the factor of time, safety, and cost.




4.1    Help students visualize “invisible” science process

       Sometimes, students are hard to understand science concept that literally cannot be seen
through the lens of their eyes. Therefore, they need some visualization to help them see and
understand the phenomena or processes of the science concept. That is why simulation is
integrated in teaching and learning science. To help students visualize and get a big picture of
what they are learning. Processes that usually need simulation to visualize are the process that is
too small to view such as the reproduction of bacteria, too big such as the tectonic shifting, too
fast such as chemical reactions, too slow such as evolution, too far such as the movement of
planets in the outer space, or too dangerous such as nuclear reactions.




4.2    Teacher has more time to interact with students

       Obviously, simulations are very convenient to use. They are safe to use, save time and
help deep understanding in students. Other than that, simulations also give more time to teacher
to interact with students instead of dealing with the management of the experimental setup. With
this quality time, teacher can deliver more detailed knowledge to students while at the same time;
the students also can experience and visualize the real world through simulation.
5.0     Limitation of simulation

        Although that simulation is seen having a good potential to be integrated in school in the
future, right now there are still some limitation in it. First, not every teacher is familiar with
simulation. To use simulations in class could be a burden to them as they need long time to
explore the simulation. When the teachers do not really know how to use a simulation, they tend
to spend more time trying to explore the simulation. This could later lead to an environment of
unsure teacher and confused students. Therefore, without expertise in using simulation, it can be
rather wasting time than saving time as it should be.

        Other limitation of simulation is that simulation can cause students to lack in manual
science process skill which is also important in the real life. If learning process depends too
much on simulations, students will not be able to handle manual process experiment
successfully. In science experiment, the way of measuring substance, how to handle the
apparatus, how to use microscope, correct way of taking reading; all of these are essential as a
basic scientific skills. Lacking on these skills can cause difficulty to students when they need to
do real scientific experiment or research later in their real life.

        Simulation can give result, analyze data, and mimics the real world process; but
simulation cannot develop students’ emotional and intuitive awareness of the importance of what
they have learned. Since simulation can simplify many of the students’ work, students tend not to
appreciate the knowledge and the value they gain.

        Other limitation of simulation is computer simulation cannot react to unexpected 'sub-
goals' which the student may develop during a learning process. These sub-goals would be
brought up during a teacher-student interaction but they remain unsaid during the individual
student use of a simulation.
6.0    Conclusion

       Simulation is a powerful tool in assisting the teaching and learning process in school.
They provide interesting and exciting mode of learning to the new generation students. Not only
to attract the students’ interest, simulation also promoted constructivism learning to students.
Through simulation, students can explore the content of the simulation. They have the freedom
to change any parameter in the simulation and observe the result. Students can construct
themselves to gain their knowledge when they try to understand and justify their observation of
the results. Through simulation too, the impossible to do experiment is also made possible in
simulation to give students better visualization and understanding. In shorts, with the use of
simulation, students can be motivated to learn and learning will be an interesting and fun.

       Since there are still limitations in applying simulation in education, many aspects should
be considered before applying simulation in a class. Teachers need to be trained, not only so that
they can use simulation to aid their teaching process; but also to let them know when to apply
simulation wisely in teaching and learning session. Although the technology is very important,
some of manual skills are also not less important. Integrating simulations in teaching and
learning is supposed to give advantages, and complete what is incomplete in the old method; not
to suppress the benefit of old teaching and learning method can provide to students.
Reference

Kevin B Korb, The Philosophy of Computer Simulation, Clayton School of Info Tech Monash

       University, retrieved on November 11, 2012 from
       http://www.csse.monash.edu.au/~korb/lmps.pdf



Ruth Thomas, What are Simulation?-The JeLSIM Perspective, retrieved on November 11, 2012

       from http://www.jelsim.org/resources/whataresimulations.pdf



Michael Magee, (2012), Simulation in Education, Alberta Online Learning Consortium

       Calgary AB, retrieved on November 12, 2012 from http://www.ccl-
       cca.ca/pdfs/StateOfField/SFRSimulationinEducationJul06REV.pdf



Dylan Marks, (2012), Commentary on Simulation in Education, retrieved on November 13, 2012

       from http://www.stanford.edu/class/symbsys205/
       commentaryonsimulationineducation.htm

M.K. Akinsola (2007), The Effect of Simulation-Games Environment on Students Achievement
      in and Attitudes to Mathematics in Secondary Schools, The Turkish Online Journal of
      Educational Technology, Vol 6(3), retrieved on November 16, 2012 from
      http://www.tojet.net/articles/v6i3/6311.pdf

Les M. Lunce, (2006), Simulations: Bringing the benefits of situated learning to the traditional
       classroom, Journal of Applied Educational Technology, Vol 3(1) retrieved on November
       16, 2012 from
       citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.93.8969&rep=rep1&type=pdf

Weitere ähnliche Inhalte

Ähnlich wie STELLA Simulation Software for Teaching Pendulum Experiment

Ähnlich wie STELLA Simulation Software for Teaching Pendulum Experiment (20)

Simulation Report
Simulation ReportSimulation Report
Simulation Report
 
Esei stella
Esei stellaEsei stella
Esei stella
 
Stella esei
Stella eseiStella esei
Stella esei
 
Stella esei
Stella eseiStella esei
Stella esei
 
Stella
StellaStella
Stella
 
Stella
StellaStella
Stella
 
Report stella simulator
Report stella simulatorReport stella simulator
Report stella simulator
 
Simulation report
Simulation reportSimulation report
Simulation report
 
Bungee jumping
Bungee jumpingBungee jumping
Bungee jumping
 
Bungee jumping
Bungee jumpingBungee jumping
Bungee jumping
 
Q3 q4 teachers guide v1.0
Q3 q4 teachers guide v1.0Q3 q4 teachers guide v1.0
Q3 q4 teachers guide v1.0
 
Stella software WORD
Stella software WORDStella software WORD
Stella software WORD
 
Stella
StellaStella
Stella
 
Stella
StellaStella
Stella
 
Science module 4 th grading
Science module 4 th gradingScience module 4 th grading
Science module 4 th grading
 
Report simulation
Report simulationReport simulation
Report simulation
 
Stella full report
Stella full reportStella full report
Stella full report
 
Stella Report
Stella ReportStella Report
Stella Report
 
Report: Stella simulation
Report: Stella simulationReport: Stella simulation
Report: Stella simulation
 
Pendulum investigation 1
Pendulum investigation 1Pendulum investigation 1
Pendulum investigation 1
 

STELLA Simulation Software for Teaching Pendulum Experiment

  • 1. DEPARTMENT OF BIOLOGY FACULTY OF SCIENCE AND MATHEMATICS UNIVERSITI PENDIDIKAN SULTAN IDRIS SSI 3013 INFORMATION AND COMMUNICATION TECHNOLOGY IN SCIENCE SEMESTER 1 2012/2013 STELLA: SIMULATION IN TEACHING AND LEARNING NO STUDENT’S NAME MATRIC NUMBER 1. VIVIANA VELENTHIA MICHEAL D201010XXXXX LECTURER’S NAME AZMI IBRAHIM DATE OF SUBMISSION: 3 DECEMBER 2012
  • 2. CONTENT PAGE 1.0 Introduction 1 2.0 Simulation in education 2 2.1 STELLA software and example of its usage in teaching and learning 3 2.1.1 The Pendulum Experiment 3 3.0 The Benefit of using simulation in teaching and learning 5 3.1 Motivate the students 5 3.1.1 Allow experiment exploration 5 3.1.2 Provide risk free environment 6 3.2 Allow students to analyze data and predict future outcome 7 3.3 Students can practice problem solving skills 7 4.0 Computer simulation in Science education 8 4.1 Help students visualize “invisible” science process 8 4.2 Teacher has more time to interact with students 8 5.0 Limitations of simulations 9 6.0 Conclusion 10 Reference
  • 3. 1.0 Introduction Simulation. In a glance, this word is may thought be most familiar among those guys who work with the computers. What is simulation actually? And who can use simulation? According to the Oxford English Dictionary, simulation is “the technique of imitating the behaviour of some situation or system (Economic, Mechanical etc.) by means of an analogous model, situation, or apparatus, either to gain information more conveniently or to train personnel." Hartmann (1996) define simulation as “a process which mimics the relevant features of a target process”. From the educational perspective, Diana Laurillard in “Rethinking University Teaching”2 states: “A computer-based simulation is a program that embodies some aspect of the world, allows the user to make inputs to the model, and displays the results.” In other words, simulation is indeed a method to represent complex relations in an easier way and in lesser time. Simulation can be performed by anyone in many areas. They just need the software or tools to run it. In educational purpose, commercial, financial, logistics, health or research purpose, simulation can be applied. Even children can perform simulation as their tools of learning. In this essay, we are going to focus on the use of simulation in education as a method in teaching and learning process.
  • 4. 2.0 Simulation in education Simulation is not something that new in education. It has been practiced for many decades as a tool supporting the traditional approach of learning. Throughout this time, education continues to evolve to meet the society demand of this globally changing world. Most of the students nowadays have been exposed to the high technology gadgets such as smart phone, tabs, and video games since their young age. Therefore, in education the traditional chalk and talk and mere lecture method will give students the perspective that learning is a boring, classic, and less interesting process. For that reason, many simulations software have been developed for educational purposes. The main goal of traditional teaching method is to achieve the learning objectives and to maximize student’s content knowledge. Students are also trained to memorize the knowledge so that they can recall the knowledge during exam. Other than can make student feel stressed and bored, this old method also doesn’t require students problem solving and thinking skill. Not to say that old method cannot be used anymore; in fact the old method has produced many great scientist and thinker. But the new method of simulation should be integrated into the teaching and learning process as the new generation needs the new the environment of learning that suit their curious high-tech mind. Simulation can be used in many subjects in school. The easiest example is in science subject which require many experimentations. One example of the simulation software suitable for learning science is the STELLA software. This software is user friendly and also suitable for student’s age user.
  • 5. 2.1 STELLA software and example of its usage in teaching and learning STELLA is software developed by isee system. According to the product info of STELLA, this software allow user to communicate with the simulation to understand how a system works, what goes in, how the system is impacted, and what are the outcomes. A common characteristic in simulation is that user can control or manipulate the parameter in the simulation and see how the result is. 2.1.1 The pendulum experiment Here is one example of STELLA application in a physics experiment, the pendulum. By manipulating the parameter such as length of string, mass of bob, and initial displacement, student can see the result or outcome in the form of graph. - The first graph of the pendulum oscillation - String length 0.5cm - Manipulated variable: length of string - Constant variable: mass of bob, initial displacement - Second and third graph is added - String length 1.0cm, and 1.5cm. - Manipulated variable: length of string - Constant variable: mass of bob, initial displacement -
  • 6. - The first graph of the pendulum oscillation - Initial displacement: 0.5cm, 1.0cm, 1.5cm - Manipulated variable: length of string - Constant variable: mass of bob - The graphs of the pendulum oscillation - Mass of bob: 0.5g, 1.0g, 1.5g - Manipulated variable: mass of bob - Constant variable: length of string, initial displacement From the graphs, it can be seen that student can manipulate the variables however they want. In this case, student can manipulate the length of string, mass of bob, and the initial displacement. When different value is selected, once the student hit “run”, another different curve of graph is formed. After several trial performed, students can see the trend or pattern of the graph formed. In addition, students also will know if a parameter is not affecting the result of experiment. Even after manipulating the value of the parameter, same curve of graph will be formed. It will just overlap with the existing graph; for example is the parameter of mass of bob in graph 3. Three values of mass were used but only one curve of graphs is formed. Furthermore, simulation also allows students to repeat the experiment over and over again until they understand the experiment.
  • 7. 3.0 The benefit of using simulation in teaching and learning Simulations can be powerful active learning experiences. Finding suitable simulation exercises is a challenge in some fields and integrating them into the content and objectives of the course requires careful planning and execution. However, this extra work is justified given what a good simulation can accomplish in class. 3.1 Motivate the students The purpose of an educational simulation is to motivate the learner to engage in problem solving, hypothesis testing, experiential learning, schema construction, and development of mental models (Winn & Snyder, 1996; Duffy & Cunningham, 1996). Using simulation in teaching and learning is really an effective method to motivate students and to gain their interest towards learning. Simulation can motivate students in several ways. It includes the ability of simulation to create a risk free environment and allow students to explore the simulation. 3.1.1 Allow experiment exploration Since the students nowadays are very familiar with the computers and games, using simulation enhance their interest and motivation to learn. They need the environment of learning that requires them to explore which suit their curious high-tech mind. Simulations allow students to interact with the simulations. Most simulations are designed with a flexible architecture that allows their variables to be altered. Therefore, students can change any parameter in the simulation and observe how the simulated outcomes changes. By directly modifying a model, students can experiment with the behavior of the models in a number of different scenarios. By doing a simulation too, students can relate it with the content knowledge and with the real life.
  • 8. The main goal of simulation is to allow the motivated students to have a deeper understanding of the experiment or model they simulate. With the animated outcomes such as graph plotting, charts, relations, and diagram, students will have a better picture of the process. Other than that, of course animated and interesting interface of the simulations can attract the students’ interest to learn. 3.1.2 Provide risk free environment There is nothing like risk free environment in the real life. In fact, failure is seen as a necessary experience for learning. However, in school, one of the factors that make students feels lazy to learn something is that because they fed up of being wrong and to fail without the chance to improve. This is mostly because of the time constraint in carrying out experiment in school. Cost involving the materials and set up of the experiment also caused the experiment cannot be done repeatedly. By using simulation, students do not come to fear failure. If they fail, simulation provides them with the chances to go back and modify their strategy until they have achieved a successful result. Therefore they will be motivated to learn and treasure more knowledge. Consequently, failure will become part of the learning process that will lead to students’ improvement in that area of knowledge, not the end of their involvement in it. Using simulation also allow students to improve the skills of learners in a way that does not affect actual outcomes. There are situations where the materials used and skills performed may affect health and risk the safety of the students as well as the apparatus or materials involved. When in real life the cost of failure is often extremely high, simulation can be an advantage. Simulation allows students to carry out the simulated experiment and allow them to fail occasionally in their course of their learning process but not affecting them in the real world.
  • 9. 3.2 Allow student to analyze data and predict future outcome Simple analysis to predict something can be done by anyone. However, as the complexity of the analysis increases, so does the need to employ computer-based tools. One of the tools is simulation. With all the necessary study data, simulation can be useful in predicting the future outcome. In real life no one can predict the future accurately, but we still can study the pattern for the highest probability that it will occur. By using simulation, students can study the trend of the outcome whenever they manipulate any variable. The outcome for example in the form of graph is usually observed over time. When the simulation is run several times, students can see the trend of the change in the graph. Take the graph from the pendulum experiment, it can be seen that the graph have certain pattern and the next graph can be predicted. Analyzing and predicting data using simulation can enhance students’ thinking skills and also problem solving skill. Other than that, this process also can give student the introduction on how to do a research, which they will do in their higher level of education later. 3.3 Student can practice problem solving skills Learning will be more meaningful when students can relate what they study with the real world situation. Simulation is tools that can make students feel closer to the real world. It is probably impractical to consider transforming every classroom setting into a situated learning environment. However, it is possible to bring some of the benefits of situated learning into the conventional classroom setting by using simulation. Simulations facilitate situated learning by providing interactive practice of real-world skills, focusing on the essential elements of a real problem or system. Problem solving skill is an important skill that everybody should acquire. Students can develop this skill through real life experience, and training. One of the other ways to develop this skill is through learning with the assistance of simulation. In simulation, there are often scenario- based problems that reflect a situation the learner would encounter in the real world. The
  • 10. simulation presents the environment, authentic information sources and the tools to let the student solve the problem and test their knowledge. 4.0 Computer simulation in science education In science education, computer simulation is used because simulations are simplified versions of the natural world. They are usually used to represent the experiment that is hard to be carried out in laboratory because of the factor of time, safety, and cost. 4.1 Help students visualize “invisible” science process Sometimes, students are hard to understand science concept that literally cannot be seen through the lens of their eyes. Therefore, they need some visualization to help them see and understand the phenomena or processes of the science concept. That is why simulation is integrated in teaching and learning science. To help students visualize and get a big picture of what they are learning. Processes that usually need simulation to visualize are the process that is too small to view such as the reproduction of bacteria, too big such as the tectonic shifting, too fast such as chemical reactions, too slow such as evolution, too far such as the movement of planets in the outer space, or too dangerous such as nuclear reactions. 4.2 Teacher has more time to interact with students Obviously, simulations are very convenient to use. They are safe to use, save time and help deep understanding in students. Other than that, simulations also give more time to teacher to interact with students instead of dealing with the management of the experimental setup. With this quality time, teacher can deliver more detailed knowledge to students while at the same time; the students also can experience and visualize the real world through simulation.
  • 11. 5.0 Limitation of simulation Although that simulation is seen having a good potential to be integrated in school in the future, right now there are still some limitation in it. First, not every teacher is familiar with simulation. To use simulations in class could be a burden to them as they need long time to explore the simulation. When the teachers do not really know how to use a simulation, they tend to spend more time trying to explore the simulation. This could later lead to an environment of unsure teacher and confused students. Therefore, without expertise in using simulation, it can be rather wasting time than saving time as it should be. Other limitation of simulation is that simulation can cause students to lack in manual science process skill which is also important in the real life. If learning process depends too much on simulations, students will not be able to handle manual process experiment successfully. In science experiment, the way of measuring substance, how to handle the apparatus, how to use microscope, correct way of taking reading; all of these are essential as a basic scientific skills. Lacking on these skills can cause difficulty to students when they need to do real scientific experiment or research later in their real life. Simulation can give result, analyze data, and mimics the real world process; but simulation cannot develop students’ emotional and intuitive awareness of the importance of what they have learned. Since simulation can simplify many of the students’ work, students tend not to appreciate the knowledge and the value they gain. Other limitation of simulation is computer simulation cannot react to unexpected 'sub- goals' which the student may develop during a learning process. These sub-goals would be brought up during a teacher-student interaction but they remain unsaid during the individual student use of a simulation.
  • 12. 6.0 Conclusion Simulation is a powerful tool in assisting the teaching and learning process in school. They provide interesting and exciting mode of learning to the new generation students. Not only to attract the students’ interest, simulation also promoted constructivism learning to students. Through simulation, students can explore the content of the simulation. They have the freedom to change any parameter in the simulation and observe the result. Students can construct themselves to gain their knowledge when they try to understand and justify their observation of the results. Through simulation too, the impossible to do experiment is also made possible in simulation to give students better visualization and understanding. In shorts, with the use of simulation, students can be motivated to learn and learning will be an interesting and fun. Since there are still limitations in applying simulation in education, many aspects should be considered before applying simulation in a class. Teachers need to be trained, not only so that they can use simulation to aid their teaching process; but also to let them know when to apply simulation wisely in teaching and learning session. Although the technology is very important, some of manual skills are also not less important. Integrating simulations in teaching and learning is supposed to give advantages, and complete what is incomplete in the old method; not to suppress the benefit of old teaching and learning method can provide to students.
  • 13. Reference Kevin B Korb, The Philosophy of Computer Simulation, Clayton School of Info Tech Monash University, retrieved on November 11, 2012 from http://www.csse.monash.edu.au/~korb/lmps.pdf Ruth Thomas, What are Simulation?-The JeLSIM Perspective, retrieved on November 11, 2012 from http://www.jelsim.org/resources/whataresimulations.pdf Michael Magee, (2012), Simulation in Education, Alberta Online Learning Consortium Calgary AB, retrieved on November 12, 2012 from http://www.ccl- cca.ca/pdfs/StateOfField/SFRSimulationinEducationJul06REV.pdf Dylan Marks, (2012), Commentary on Simulation in Education, retrieved on November 13, 2012 from http://www.stanford.edu/class/symbsys205/ commentaryonsimulationineducation.htm M.K. Akinsola (2007), The Effect of Simulation-Games Environment on Students Achievement in and Attitudes to Mathematics in Secondary Schools, The Turkish Online Journal of Educational Technology, Vol 6(3), retrieved on November 16, 2012 from http://www.tojet.net/articles/v6i3/6311.pdf Les M. Lunce, (2006), Simulations: Bringing the benefits of situated learning to the traditional classroom, Journal of Applied Educational Technology, Vol 3(1) retrieved on November 16, 2012 from citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.93.8969&rep=rep1&type=pdf