STELLA
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The document discusses a prey-predator simulation model created using STELLA software. It includes graphs showing the populations of mice (prey) and owls (predator) over time under different starting conditions. The simulation allows testing the impact of changes to the system, provides a risk-free way to study dynamic relationships, and helps visualize complex interactions. Some advantages are that it offers an interactive way to explore problems and build higher-order thinking without building physical models, while disadvantages include needing training to use the software and potentially incorporating errors.
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ch3 ict in science mathematics modelling and simulisation
This document discusses the role of information and communication technology (ICT) in science, mathematics, modeling, and simulation. ICT tools are used in modern science and education to make activities easier, access information, and enhance learning. In science and math, ICT allows students to collect data, do presentations, demonstrations, predictions, and interactive learning. Computer modeling and simulation create virtual representations of real-world systems to test and train without risk. They provide cost-effective, flexible tools for research, education, and entertainment.
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Simulation provides several key advantages: it allows investigation of dangerous or critical situations without risk of harm, allows conditions to be varied to understand outcomes, and can speed up or slow down processes to study changes over various time periods. However, simulations also have disadvantages: they can be expensive to develop and conduct, results sometimes require extensive interpretation, and simulations may not perfectly model all factors or produce entirely accurate outcomes. Simulation is applied in many areas including manufacturing, construction, the military, transportation, education, healthcare, and analyzing business and network processes.
Isee system simulation report
Definition of simulation
Simulation is a imitation of the operation of the real world process or system over
time. Simulation involves the generation of an artificial history of the system, and the
observation of that artificial history to draw inferences concerning the operating
characteristics of the real system that is represented.
Simulation is an indispensable problem solving methodology for the solution of
many real world problems. Simulation is used to describe and analyze the behaviour
of a system, ask “ what if” questions about the real system, and aid in the real design
of the system. Both existing and conceptual systems can be modeled with simulation.
A simulator is a device, computer program, or system that performs simulation. A
simulation is a method for implementing a model over time.
There are three types of common uses simulation.
Live simulation is a simulation involving real people operating real system. Military
training events using real equipment are live simulations. They are considered
simulations because they are not conducted against a live enemy. In live simulation,
should provide a similar area area of operation and should be close to replicating the
actual activity.
Virtual simulation is a simulation involving real people operating simulated systems.
Virtual simulations inject Human-In-The-Loop in a central role by exercising motor
control skill, decision skill, and communication skill.
Constructive simulation is a simulation involving simulated people operating
simulated systems. Real people can stimulate or make inputs but are not involved in
determining outcomes. Constructive simulations offer the ability to analyze concept,
predict possible outcomes, stress large organization, make measurement, generate
statistics and perform analysis. A constructive simulation is a computer program. For
example, a military user may input data instructing a unit to move and to engage an
enemy target. The constructive simulation determines the speed of movement, the
effect of the engagement with the enemy and any battle damage that may occur.
Advantages and disadvantages of Simulation
This document discusses simulation and modeling. It notes that simulation involves imitating real world processes or systems using models. The main advantages discussed are that simulation allows learning about systems without having the real system, experimenting with systems that may be too slow, fast, complex, or dangerous to observe directly, and enabling management to foresee issues. Some disadvantages are that model building requires training, results can be difficult to interpret, and simulation can be time-consuming and expensive. The document concludes by giving examples of simulation uses in business, engineering, medicine, and education.
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This document describes a simulation project using STELLA software to model the prey-predator relationship between mice and owls in a palm oil plantation. The document includes the student names and details, an introduction to computer simulation and STELLA software, advantages and disadvantages of simulation, a discussion of three graphs from the STELLA model showing different mice and owl population levels and the resulting impact on palm tree production, and advantages of using STELLA simulations in education.
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This document provides information about a simulation project done using STELLA software. It includes the names and student IDs of three students, the title and lecturer's name. It then outlines the contents of the project report, which includes an introduction to computer simulation, advantages and disadvantages of simulation, an overview of the STELLA software, a discussion of three graphs generated from the STELLA simulation of a prey-predator relationship between mice and owls, and advantages of using STELLA simulations in education. The document concludes by listing references used in the project report.
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This document is a report on computer simulation created by a group consisting of 3 students. It discusses the use of Biosawit simulation and STELLA software to simulate a system involving the relationship between palm, rat, and owl populations. The report includes an introduction to simulation, descriptions of the STELLA programming language and how it was used, aims of the simulation, when simulators are used, applications of simulation, and advantages and disadvantages of computer simulation.
Report simulation
This document discusses simulation and modelling software called STELLA. It provides an overview of STELLA's features and how it can be used to simulate systems over time. It also describes the benefits and limitations of using simulations for education. Simulations can increase understanding, provide hands-on learning, and test designs without physical implementation. However, they may oversimplify details and require significant computing resources for complex simulations. Overall, simulations are a useful tool that can enhance the teaching and learning process.
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ch3 ict in science mathematics modelling and simulisation
This document discusses the role of information and communication technology (ICT) in science, mathematics, modeling, and simulation. ICT tools are used in modern science and education to make activities easier, access information, and enhance learning. In science and math, ICT allows students to collect data, do presentations, demonstrations, predictions, and interactive learning. Computer modeling and simulation create virtual representations of real-world systems to test and train without risk. They provide cost-effective, flexible tools for research, education, and entertainment.
Simulation
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Isee system simulation report
Definition of simulation
Simulation is a imitation of the operation of the real world process or system over
time. Simulation involves the generation of an artificial history of the system, and the
observation of that artificial history to draw inferences concerning the operating
characteristics of the real system that is represented.
Simulation is an indispensable problem solving methodology for the solution of
many real world problems. Simulation is used to describe and analyze the behaviour
of a system, ask “ what if” questions about the real system, and aid in the real design
of the system. Both existing and conceptual systems can be modeled with simulation.
A simulator is a device, computer program, or system that performs simulation. A
simulation is a method for implementing a model over time.
There are three types of common uses simulation.
Live simulation is a simulation involving real people operating real system. Military
training events using real equipment are live simulations. They are considered
simulations because they are not conducted against a live enemy. In live simulation,
should provide a similar area area of operation and should be close to replicating the
actual activity.
Virtual simulation is a simulation involving real people operating simulated systems.
Virtual simulations inject Human-In-The-Loop in a central role by exercising motor
control skill, decision skill, and communication skill.
Constructive simulation is a simulation involving simulated people operating
simulated systems. Real people can stimulate or make inputs but are not involved in
determining outcomes. Constructive simulations offer the ability to analyze concept,
predict possible outcomes, stress large organization, make measurement, generate
statistics and perform analysis. A constructive simulation is a computer program. For
example, a military user may input data instructing a unit to move and to engage an
enemy target. The constructive simulation determines the speed of movement, the
effect of the engagement with the enemy and any battle damage that may occur.
Advantages and disadvantages of Simulation
This document discusses simulation and modeling. It notes that simulation involves imitating real world processes or systems using models. The main advantages discussed are that simulation allows learning about systems without having the real system, experimenting with systems that may be too slow, fast, complex, or dangerous to observe directly, and enabling management to foresee issues. Some disadvantages are that model building requires training, results can be difficult to interpret, and simulation can be time-consuming and expensive. The document concludes by giving examples of simulation uses in business, engineering, medicine, and education.
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This document describes a simulation project using STELLA software to model the prey-predator relationship between mice and owls in a palm oil plantation. The document includes the student names and details, an introduction to computer simulation and STELLA software, advantages and disadvantages of simulation, a discussion of three graphs from the STELLA model showing different mice and owl population levels and the resulting impact on palm tree production, and advantages of using STELLA simulations in education.
Stella
This document provides information about a simulation project done using STELLA software. It includes the names and student IDs of three students, the title and lecturer's name. It then outlines the contents of the project report, which includes an introduction to computer simulation, advantages and disadvantages of simulation, an overview of the STELLA software, a discussion of three graphs generated from the STELLA simulation of a prey-predator relationship between mice and owls, and advantages of using STELLA simulations in education. The document concludes by listing references used in the project report.
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This document is a report on computer simulation created by a group consisting of 3 students. It discusses the use of Biosawit simulation and STELLA software to simulate a system involving the relationship between palm, rat, and owl populations. The report includes an introduction to simulation, descriptions of the STELLA programming language and how it was used, aims of the simulation, when simulators are used, applications of simulation, and advantages and disadvantages of computer simulation.
Report simulation
This document discusses simulation and modelling software called STELLA. It provides an overview of STELLA's features and how it can be used to simulate systems over time. It also describes the benefits and limitations of using simulations for education. Simulations can increase understanding, provide hands-on learning, and test designs without physical implementation. However, they may oversimplify details and require significant computing resources for complex simulations. Overall, simulations are a useful tool that can enhance the teaching and learning process.
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This document discusses simulation and the STELLA software package. It provides an introduction to simulation and explains that simulation allows investigation of a system's behavior over time by developing a model. STELLA is introduced as a modeling software that uses diagrams and charts to help users visualize relationships between variables in a system. The document then discusses advantages of simulation such as testing changes without disrupting systems and disadvantages such as potential oversimplification.
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This document discusses the benefits of using STELLA simulation software in education. It provides an example of a STELLA simulation involving the relationship between rat population, owl population, and palm oil production. The summary is:
1) STELLA simulation allows students to manipulate parameters and observe how outcomes change, helping students better understand relationships between variables.
2) Running simulations repeatedly increases student motivation and curiosity to explore topics.
3) Simulations help students make more accurate predictions about experiments compared to traditional methods, and enhance problem solving skills.
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The document discusses the use of simulation software Stella in education. It provides an example of using Stella to model the relationship between owl and rat populations and the impact on palm oil resources. The summary explores the benefits and disadvantages of using simulations in education. Simulations allow experimenting and understanding variable relationships at a lower cost compared to real experiments. However, they require expensive software and trained teachers. They also may not reflect real-world consequences of mistakes.
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1. The document discusses the use of Stella simulation software for educational purposes. Stella allows students to dynamically model complex systems and explore how changing variables affects outcomes.
2. Using simulations like Stella is beneficial for student learning as it motivates students and helps them better understand concepts that would be difficult or impossible to demonstrate in real life. Students can observe systems over time and predict how changing parameters impacts results.
3. Stella provides opportunities for active, self-directed learning as students can freely experiment with models and receive immediate feedback on their changes. This supports different learning styles and helps students transfer knowledge to new situations.
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This document discusses using simulations and modeling in teaching and learning. It provides an example of using the STELLA simulation software to model natural selection. The model simulates foxes preying on rabbits, with faster rabbits being more likely to escape and reproduce. The simulation shows rabbit populations increasing over years as the "speed bias" favoring faster rabbits is increased. Simulations allow students to make predictions and explore concepts like natural selection in an interactive way. They can help students better understand topics that may be difficult to demonstrate directly.
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This document discusses using the STELLA simulation software to model predator-prey dynamics. It provides background on predator-prey theory and describes using STELLA to simulate the interaction between snowshoe hares and lynx over time. The simulation allows users to manipulate variables and observe their impact on predator and prey populations. It finds that STELLA engages students by allowing them to actively experiment with models and better understand complex systems through visualization of dynamic changes over many years.
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This document provides information about a practical report on the STELLA simulation software. STELLA allows users to construct dynamic models that simulate biological systems using stocks, flows, converters and connectors. The report discusses three graphs generated using STELLA that model the relationship between rat and owl populations and palm oil production. The graphs demonstrate how increasing rat populations and decreasing owl populations impact palm oil yields over time. STELLA provides an engaging learning tool but also has disadvantages like requiring computer access and training to use.
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This document provides information about a practical report on the STELLA simulation software. STELLA allows users to construct dynamic models that simulate biological systems using stocks, flows, converters and connectors. The report discusses three graphs generated using STELLA that model the relationship between rat and owl populations and palm oil production. The graphs demonstrate how increasing rat populations and decreasing owl populations impact palm oil yields over time. STELLA provides an engaging learning tool but also has disadvantages like requiring computer access and training to use.
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This document discusses simulation and the use of Stella software for simulation. It contains information on the group members conducting the simulation, an introduction to simulation and its functions. The document also includes original and modified graphs from the simulation. It discusses the functions of simulation in future learning, including compressing time frames and studying complex systems. The disadvantages of computer simulations are mentioned, such as limitations in understanding physical systems. The conclusion emphasizes the benefits and disadvantages of computer simulations for teaching and learning.
Soumya
Computer simulation is the use of a computer program to model a real-world system. The program contains mathematical equations that replicate the system's functional relationships. Running the program produces data that shows how the modeled system would behave over time. Simulations can also take the form of computer graphics animations. Key features of computer simulation include an interactive computer model of a system and the ability to experiment by changing model inputs. Examples include modeling theories of cognition, modeling organic molecule reactions, and fluid dynamics simulations. Computer simulation allows studying systems without building them and enables experimenting with different conditions efficiently. However, simulations can be difficult and expensive to construct and may require expert help to interpret results.
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The document discusses using the STELLA simulation software to model natural selection. It begins with an overview of simulation and modeling. It then discusses using STELLA specifically to model a rabbit population undergoing natural selection from fox predators. The model shows the average rabbit speed increasing over generations as slower rabbits are preyed upon more. The document analyzes the results and shows how they support Darwin's theory of natural selection. It concludes that STELLA is an effective teaching tool that can increase student understanding and motivation by allowing them to predict population changes over time.
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Simulations are computerized models that represent real or imagined systems to teach how they work. There are different types of simulations including physical, process, procedural, and situational simulations. Simulations provide students with authentic problems within a context and allow them to manipulate variables and discover rules of interaction. Research shows simulations support learning by making abstract concepts concrete and increasing problem solving abilities. Effective use of simulations involves preparation, student involvement during the simulation, and debriefing discussions afterwards.
Mule event processing models | MuleSoft Mysore Meetup #47
Mule event processing models | MuleSoft Mysore Meetup #47
Event Link:- https://meetups.mulesoft.com/events/details/mulesoft-mysore-presents-mule-event-processing-models/
Agenda
● What is event processing in MuleSoft?
● Types of event processing models in Mule 4
● Distinction between the reactive, parallel, blocking & non-blocking processing
For Upcoming Meetups Join Mysore Meetup Group - https://meetups.mulesoft.com/mysore/YouTube:- youtube.com/@mulesoftmysore
Mysore WhatsApp group:- https://chat.whatsapp.com/EhqtHtCC75vCAX7gaO842N
Speaker:-
Shivani Yasaswi - https://www.linkedin.com/in/shivaniyasaswi/
Organizers:-
Shubham Chaurasia - https://www.linkedin.com/in/shubhamchaurasia1/
Giridhar Meka - https://www.linkedin.com/in/giridharmeka
Priya Shaw - https://www.linkedin.com/in/priya-shaw
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This document discusses the use of computer simulation software called STELLA. It begins by defining computer simulation and explaining how STELLA allows users to build models of complex real-world systems. The document then discusses a case study where STELLA was used to model the relationship between owl and mouse populations in a palm oil plantation. Graphs of the simulation results show how the populations interact over time. The document concludes by explaining how STELLA can help students by increasing motivation, allowing experiment exploration, developing problem solving skills, helping visualize invisible processes, and enabling analysis of data and predictions.
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This document discusses the benefits of using STELLA simulation software in education. It provides an example of a STELLA simulation involving the relationship between rat population, owl population, and palm oil production. The summary is:
1) STELLA simulation allows students to manipulate parameters and observe how outcomes change, helping students better understand relationships between variables.
2) Running simulations repeatedly increases student motivation and curiosity to explore topics.
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2. Using simulations like Stella is beneficial for student learning as it motivates students and helps them better understand concepts that would be difficult or impossible to demonstrate in real life. Students can observe systems over time and predict how changing parameters impacts results.
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2) The simulation uses the STELLA software to model the relationships between population, coconut palms, and statues on the island over time based on different birth rates.
3) By adjusting the birth rate parameter and observing the effects on population, coconut palms, and statues in the graphs generated, students can gain insights into what may have caused the downfall of the Easter Island civilization.
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This document discusses using the STELLA simulation software to model predator-prey dynamics. It provides background on predator-prey theory and describes using STELLA to simulate the interaction between snowshoe hares and lynx over time. The simulation allows users to manipulate variables and observe their impact on predator and prey populations. It finds that STELLA engages students by allowing them to actively experiment with models and better understand complex systems through visualization of dynamic changes over many years.
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The document describes a simulation conducted using STELLA software to investigate factors that influence the period of a simple pendulum. The simulation aimed to study the effects of mass, initial displacement, and string length on the amplitude, period, and frequency. The results showed that mass had no effect on period, initial displacement increased amplitude but not period, and increasing string length directly increased period as the length appears in the period calculation formula. The simulation allowed interactive exploration of variable effects and helped students better understand pendulum motion concepts.
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This document provides information about a practical report on the STELLA simulation software. STELLA allows users to construct dynamic models that simulate biological systems using stocks, flows, converters and connectors. The report discusses three graphs generated using STELLA that model the relationship between rat and owl populations and palm oil production. The graphs demonstrate how increasing rat populations and decreasing owl populations can negatively impact palm oil yields over time. STELLA provides an engaging way for students to explore variables and conduct experiments to better understand complex systems.
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This document provides information about a practical report on the STELLA simulation software. STELLA allows users to construct dynamic models that simulate biological systems using stocks, flows, converters and connectors. The report discusses three graphs generated using STELLA that model the relationship between rat and owl populations and palm oil production. The graphs demonstrate how increasing rat populations and decreasing owl populations impact palm oil yields over time. STELLA provides an engaging learning tool but also has disadvantages like requiring computer access and training to use.
Stella full report
This document provides information about a practical report on the STELLA simulation software. STELLA allows users to construct dynamic models that simulate biological systems using stocks, flows, converters and connectors. The report discusses three graphs generated using STELLA that model the relationship between rat and owl populations and palm oil production. The graphs demonstrate how increasing rat populations and decreasing owl populations impact palm oil yields over time. STELLA provides an engaging learning tool but also has disadvantages like requiring computer access and training to use.
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This document discusses simulation and the use of Stella software for simulation. It contains information on the group members conducting the simulation, an introduction to simulation and its functions. The document also includes original and modified graphs from the simulation. It discusses the functions of simulation in future learning, including compressing time frames and studying complex systems. The disadvantages of computer simulations are mentioned, such as limitations in understanding physical systems. The conclusion emphasizes the benefits and disadvantages of computer simulations for teaching and learning.
Soumya
Computer simulation is the use of a computer program to model a real-world system. The program contains mathematical equations that replicate the system's functional relationships. Running the program produces data that shows how the modeled system would behave over time. Simulations can also take the form of computer graphics animations. Key features of computer simulation include an interactive computer model of a system and the ability to experiment by changing model inputs. Examples include modeling theories of cognition, modeling organic molecule reactions, and fluid dynamics simulations. Computer simulation allows studying systems without building them and enables experimenting with different conditions efficiently. However, simulations can be difficult and expensive to construct and may require expert help to interpret results.
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Simulation models allow students to participate in and observe simplified representations of real-world systems and processes over time. The document discusses key advantages and disadvantages of using simulations in education, including that simulations allow experimentation without building physical systems, help uncover unexpected behaviors, and can motivate students. Simulations are as effective as conventional teaching methods for conveying subject matter knowledge and more effective for knowledge retention. The conclusion emphasizes that simulations are a powerful educational tool that give students freedom to explore models and observe results in an interesting and fun way.
Stella
The document discusses using the STELLA simulation software to model natural selection. It begins with an overview of simulation and modeling. It then discusses using STELLA specifically to model a rabbit population undergoing natural selection from fox predators. The model shows the average rabbit speed increasing over generations as slower rabbits are preyed upon more. The document analyzes the results and shows how they support Darwin's theory of natural selection. It concludes that STELLA is an effective teaching tool that can increase student understanding and motivation by allowing them to predict population changes over time.
Simulations
Simulations are computerized models that represent real or imagined systems to teach how they work. There are different types of simulations including physical, process, procedural, and situational simulations. Simulations provide students with authentic problems within a context and allow them to manipulate variables and discover rules of interaction. Research shows simulations support learning by making abstract concepts concrete and increasing problem solving abilities. Effective use of simulations involves preparation, student involvement during the simulation, and debriefing discussions afterwards.
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STELLA
- 1. SIMULATION BY USING STELLA SOFTWARE : PREY-PREDATOR SAMPLE MODEL SBI 3013 INFORMATION AND COMMUNICATION TECHNOLOGY IN BIOLOGY Aisyah Nazurah Binti Mohammad Tamizi D20162075554 Kamilia Binti Salehuddin D20162075561 Suzica Johnny Jusim D20162075560
- 2. Model and Simulation O Model Representation of the construction and working of a system. To test the success of a system To test the effect after system changes O Simulation Operation of model of a system. Can be studied. Can be improved.
- 3. Introduction about STELLA O STELLA – System Thinking Experimental Learning Laboratory with Animation O Introduced by Barry Richmond ( 1985 ) O A software that can be used to stimulate a system over time O Through this software, we can see the effect of a system in a model. O Provide a practical way to visualize on how complex system work.
- 4. The things that you need to know before understanding the graph. O This ecosystem involve about 100 hectare oil palm plantation O Which consist of 138 oil palm tree per hectare. O Each oil palm tree have 10 bunches. O Whole total – 207, 000, 000 palm seed O The prey is mouse ( Peter Pettigrew ) in pink line O The predator is owl ( Hedwig ) in blue line O The red line is for the mighty oil palm tree
- 5. Graph 1 Mouse : 13,000 Owl : 10
- 8. Advantages O It is the best picture to show how the system work over time. O Provide risk free environment. Can repeat the experiment more than 1 time if they failed to get satisfied outcome. (The graph) O Give the students motivation to approach the behavior of a system without building the model. O Simulation develops problem solving and higher thinking skills among students O Build up social manner among students and teacher through interactions. O Allow experiment exploration. ( Student can alter the provided parameter and variables when using it) O Avoid misconception with what their teacher want to teach. Especially in science concept that most students cannot understand well.
- 9. Disadvantages O The teacher need to have a deep learning about this software before teach the students. ( Time consuming to explore the course chosen ) O Some school lack of facilities and equipment. O Students lack with manual science process skills. O Some of simulation need high cost to build up. O Simulation may be error.