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Module 1 : Cause and Effect - Observing
Module 1 : Cause and Effect - Observing
Term 1 Weeks 1 - 8
Term 1 Weeks 1 - 8
Observation instigates all scientific experimentation. Investigative scientific processes can only be applied to phenomena that can be observed and measured. Detailed observations motivate scientists to ask questions about the causes and the effects of phenomena they observe. In this way, science continues to progress and enhance the lives of individuals and society by encouraging a continued search for reason and understanding.
Students explore the importance of observation and the collection of quantitative and qualitative data in scientific investigations. They conduct their own practical investigation, either individually or collaboratively, which is used to demonstrate the importance of making detailed and accurate observations, determining the types of variables and formulating testable scientific hypotheses.
In this module, Students focus on developing hypotheses that arise from their observations and evaluate these in order to gather, select and process appropriate qualitative and quantitative data.
Module 2 : Cause and Effect - Inferences and Generalisations
Module 2 : Cause and Effect - Inferences and Generalisations
Term 1 Weeks 9-10, Term 2 weeks 1-5
Term 1 Weeks 9-10, Term 2 weeks 1-5
Scientific inquiry follows on from humans making inferences and generalisations from commonly held understandings. Such inferences and generalisations have led to a wide range of investigations being performed throughout history, culminating in breakthroughs in scientific understanding. Many hypotheses, when found to be correct, have generated further inquiry and created the need to develop new technologies for further observation.
Students consider primary and secondary-sourced data and its influence on scientific investigations. In this module, students engage in gathering primary and secondary-sourced data to assist them in conducting and reporting on investigations, and to further develop their understanding of the central roles of scientific questioning and collaboration in the pursuit of scientific truth.
In this module, students focus on designing and evaluating investigations, drawing inferences, making generalisations, and developing and testing hypotheses through the collection and processing of data.
Module 3 : Scientific Models
Module 3 : Scientific Models
Term 2 Weeks 6-9, Term 3 Weeks 1-4
Term 2 Weeks 6-9, Term 3 Weeks 1-4
Scientific models are developed as a means of helping people understand scientific concepts and representing them in a visual medium. Models are used to make predictions. They may include physical and digital models, which can be refined over time by the inclusion of new scientific knowledge.
Students recognise that many scientific models have limitations and are modified as further evidence comes to light. For this reason, scientific models are continually evaluated for accuracy and applicability by the global scientific community through the process of peer review. Students construct and evaluate their own models, which are generated through practical investigation.
In this module, students focus on designing and evaluating investigations to collect valid and reliable primary and secondary qualitative and quantitative data, and apply scientific modelling.
Module 4 : Theories and Laws
Module 4 : Theories and Laws
Term 3 Weeks 5 - 10
Term 3 Weeks 5 - 10
The term ‘science’ comes from the Latin scientia, which means ‘a knowledge based on demonstrable and reproducible data’. Reproducible data is used by scientists to develop theories and laws to explain and describe phenomena. Theories provide a coherent explanation of a wide range of phenomena. A law is usually a statement that can be expressed as a mathematical relationship. It describes phenomena in nature, with no exceptions, at a point in time. Testing scientific theories drives scientific breakthroughs and questions current understandings.
Students examine how complex models and theories often require a wide range of evidence, which impacts on society and the environment. In this module, students engage in practical and secondary investigations that are related to major theories or laws and their application.
In this module, students focus on analysing and evaluating data to solve problems and communicate ideas about the development of theories and laws.
Module 1 : Cause and Effect - Observing
Module 1 : Cause and Effect - Observing
Term 1 Weeks 1 - 8
Term 1 Weeks 1 - 8
Observation instigates all scientific experimentation. Investigative scientific processes can only be applied to phenomena that can be observed and measured. Detailed observations motivate scientists to ask questions about the causes and the effects of phenomena they observe. In this way, science continues to progress and enhance the lives of individuals and society by encouraging a continued search for reason and understanding.
Students explore the importance of observation and the collection of quantitative and qualitative data in scientific investigations. They conduct their own practical investigation, either individually or collaboratively, which is used to demonstrate the importance of making detailed and accurate observations, determining the types of variables and formulating testable scientific hypotheses.
In this module, Students focus on developing hypotheses that arise from their observations and evaluate these in order to gather, select and process appropriate qualitative and quantitative data.
Module 2 : Cause and Effect - Inferences and Generalisations
Module 2 : Cause and Effect - Inferences and Generalisations
Term 1 Weeks 9-10, Term 2 weeks 1-5
Term 1 Weeks 9-10, Term 2 weeks 1-5
Scientific inquiry follows on from humans making inferences and generalisations from commonly held understandings. Such inferences and generalisations have led to a wide range of investigations being performed throughout history, culminating in breakthroughs in scientific understanding. Many hypotheses, when found to be correct, have generated further inquiry and created the need to develop new technologies for further observation.
Students consider primary and secondary-sourced data and its influence on scientific investigations. In this module, students engage in gathering primary and secondary-sourced data to assist them in conducting and reporting on investigations, and to further develop their understanding of the central roles of scientific questioning and collaboration in the pursuit of scientific truth.
In this module, students focus on designing and evaluating investigations, drawing inferences, making generalisations, and developing and testing hypotheses through the collection and processing of data.
Module 3 : Scientific Models
Module 3 : Scientific Models
Term 2 Weeks 6-9, Term 3 Weeks 1-4
Term 2 Weeks 6-9, Term 3 Weeks 1-4
Scientific models are developed as a means of helping people understand scientific concepts and representing them in a visual medium. Models are used to make predictions. They may include physical and digital models, which can be refined over time by the inclusion of new scientific knowledge.
Students recognise that many scientific models have limitations and are modified as further evidence comes to light. For this reason, scientific models are continually evaluated for accuracy and applicability by the global scientific community through the process of peer review. Students construct and evaluate their own models, which are generated through practical investigation.
In this module, students focus on designing and evaluating investigations to collect valid and reliable primary and secondary qualitative and quantitative data, and apply scientific modelling.
Module 4 : Theories and Laws
Module 4 : Theories and Laws
Term 3 Weeks 5 - 10
Term 3 Weeks 5 - 10
The term ‘science’ comes from the Latin scientia, which means ‘a knowledge based on demonstrable and reproducible data’. Reproducible data is used by scientists to develop theories and laws to explain and describe phenomena. Theories provide a coherent explanation of a wide range of phenomena. A law is usually a statement that can be expressed as a mathematical relationship. It describes phenomena in nature, with no exceptions, at a point in time. Testing scientific theories drives scientific breakthroughs and questions current understandings.
Students examine how complex models and theories often require a wide range of evidence, which impacts on society and the environment. In this module, students engage in practical and secondary investigations that are related to major theories or laws and their application.
In this module, students focus on analysing and evaluating data to solve problems and communicate ideas about the development of theories and laws.
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