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(LAST REVISED July7, 2006) © Kishore Lal 2006 .

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Scientific Inquiry Skills - Relationship between Inquiry skills.

Inquiry is the investigative process which scientist use to build an understanding of the natural world. Recall that this construct is based on repeatable, reliable and observable evidence. Obtaining this evidence involves the use of scientific inquiry skills. While learners may not discover "unknown knowledge" (i.e. new knowledge to mankind) in their own investigations, current research indicates that many learners are better able to accommodate new knowledge when engaged in inquiry. The constructivist approach to teaching recognizes that building new knowledge is a personal matter and learners find it is easier to make sense of new experiences when scientific inquiry skills are used. Learning is only accomplished when a person has accommodated the new experiences into his world by making links to existing knowledge and taking ownership of these new concepts. Inquiry skills help the learner to operate at higher levels in Bloom's Taxonomy of educational objectives. The lowest level skills are observation and measurement which gather space-time relationships (data). Organization of this data involves communication and classification. Explaining the data obtained uses the skills of making inferences and predictions. Generalizing the explanations makes hypothesis. Hypotheses are tested by experimenting using skills of problem solving, controlling variables, critical thinking, creative thinking, and interpreting data to make operational definitions.

 

Inquiry Skills Relationship for The Scientist and The Layman.

 

Basic Inquiry Skills:

These are science processes which usually deal with single events and can often be used by themselves in an investigation. These are:

1. Space-time relationships
2. Observation
3. Measurement
4. Communication
5. Classification
6. Making inferences
7. Making predictions

 

Space-time relationships

What is it? Why do we use it? How do we use it? When ? Where do we use it?
The position of an object or the occurrence of a phenomenon (event) can only be observed, measured or predicted if we know time. Measurement of time is very important to scientific investigations. We can measure either the position or the velocity of a moving object accurately, but not both at the same time. Time (over which we have no control) determines its position in space. Accurate measurement of time is important to conducting investigations We can only describe the position in space of a moving object if we have accurate measurement of time. Since many events in this natural world are cyclical we are able to measure time. The observation or measurement of position and phenomenon is the basis for many scientific investigations. We measure time with clocks based on some cyclical event like the oscillation of a pendulum or in more modern clocks, the oscillation of a crystal. Rates are the expression of how fast an event occurs. Any phenomena we observe or measure is a space-time relationship.

Back to Basic Inquiry Skills

Observation

What is it? Why do we use it? How do we use it? When ? Where do we use it?
Observation gathers qualitative information about the natural world e.g. determining the height of a plant - it is tall, short, very tall etc… Observation is very personal and two people exposed to the same event may observe it very differently (perception) When we observe a phenomenon or object we tend to notice the aspects that we have been exposed to before as change is uncomfortable for many people and new information tend to be perceived in a framework already developed by the individual. Using the information from one or more of the naked senses or instruments the new situation is compared qualitatively with other experiences. The information is perceived by the individual in a very personal manner using comparative language to store a memory of the experience (which may fade or be modified with time and other experiences. However if the information is absolutely new and cannot be related to a past experience a forced relationship to some previous experience may develop or the experience may be wiped out of the conscious memory. Almost all information that enters a sense organ and can be compared with a past experience has an impact, either consciously or unconsciously, on us. In many cases we then use these to make inferences or may generalize these into hypotheses.

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Measurement

What is it? Why do we use it? How do we use it? When ? Where do we use it?
Standardizing the observations made is the skill of measurement. For example the height of a plant can be measured on some scale using either some instrument of measurement (e.g. cm on a ruler) or on some arbitrary scale like hand span.

In communicating observations made the information may become 'corrupted' as the other person receives the information in his frame of reference e.g. Consider an individual reporting on a 2m. dwarf pommecythere (Golden Apple) tree in full fruit -

  • Observation: it as a very short tree.

This information to one unaccustomed to these dwarf plants might be perceived as a tree around 5 m high as he/she is accustomed to the larger version of the tree (typically 10 - 20 m. tall), when in fact the tree is only about 2 m. tall and extremely tall for that variety! Use of a standardized scale of measurement will result in better communication of scientific information.

All physical quantities which are measured can be either fundamental units or derived units. The fundamental units of measurement are:

• length (metre),

• time (second),

• mass (kilogram),

• electric current (ampere),

• temperature (degree Kelvin),

• luminous intensity (candela), and

• the amount of substance (mole).

Derived units are combinations of the fundamental units. We have developed instruments to measure quantities. However, please note that the basic senses are still used to acquire the 'readings'. All instruments have errors and errors may be minimized by calibration.

In the scientific method the determination of repeatable data means that we must communicate the results of our investigation in clear unambiguous language. Therefore, all scientific communication should be done in standardized units as far as possible. Consider when you buy paint - would you just buy blue paint or would you ask for a particular blue from a colour chart? You are better able to communicate the colour using a chart.

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Classification

What is it? Why do we use it? How do we use it? When ? Where do we use it?
Classifying is placing into groups based on specific criteria (try to use scientific concepts when classifying in science) In classifying data we learn patterns in nature and this allows us to organize our responses to situations. Faced with danger, we are more prepared with an appropriate response leading to better survival skills. Inappropriate classification of incoming data may result in wrong assessment of the situation leading to danger physical or otherwise. Incoming data is classified using criteria previously developed. Classification of data is the basis of learning and it is how we organize our knowledge. The brain organizes the data coming though the senses by comparing the experience with previous experiences and classifying the experience so we can respond appropriately. We are more likely to access the situation and display a survival response if we have met the situation before. If we were not able to classify information we would have to deal with every situation as new and our response to a particular situation may not be quick enough to avoid danger. New situations are stressful on the individual and may not always be classified immediately, but reflection at a later stage may lead to some organization of the experience and strategies to deal with a similar occurrence at a later stage. When we classify it we are able to accommodate similar experiences at a later stage and are able to perceive new dimensions to the same experience making our observations more detailed e.g. when we have experiences with the forest we begin to see the individual trees. Prejudices develop when we classify using a selected criteria and generalize these (make hypotheses) without testing and evaluation our hypotheses. Every time we get information through a sense organ we try to classify it.

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Communication

What is it? Why do we use it? How do we use it? When ? Where do we use it?
Communicating involves recording observations and measurements in scientific language

In communicating observations made the information may become 'corrupted' as the other person receives the information in his frame of reference e.g. Consider an individual reporting on a 2m. dwarf pommecythere (Golden Apple) tree in full fruit:

• Observation: it as a very short tree.

This information to one unaccustomed to these dwarf plants might be perceived as a tree around 5 m high as he/she is accustomed to the larger version of the tree (typically 10 - 20 m. tall), when in fact the tree is only about 2 m. tall and extremely tall for that variety!

• Measurement: The plant is 2m tall and has a canopy 1m diameter…

Use of this standardized scale of measurement will result in better communication of scientific information.

In communicating we try as far as possible to use measurable language. Tables are often constructed and measurements rather than observations are recorded. However, it is recognized that sometimes observations are the only means for pupils without measurement skills to communicate. Diagrams are also often used to record. Consider using arbitrary scales when instruments are not available. For e.g. in an activity on the brightness of bulbs in different circuits a class may develop an arbitrary scale of brightness from 0 - 5 (5 being a particular bulb in a reference circuit and 0 being totally off) or in an activity on the height of plants infants may measure using strips of paper to match the height of the plant. Scientific language tends to be unemotional, but scientists can be emotional!

Always record the data you obtain! The skills and consequent learning are in explaining why your data is different from the expected It is unscientific to 'ratch' or 'cook' the data to suit the expected result.

Would you like a doctor to 'ratch' your X-ray?

Or an engineer to 'ratch' the results from faulty machinery?

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Making inferences

What is it? Why do we use it? How do we use it? When ? Where do we use it?
Inferring is suggesting explanation(s) for an event(s) after they have been observed or measured using critical thinking and scientific principles. It is about making a conclusion about a single event using the scientific method.

We naturally try to explain our world. This leads to a level of comfort in our day to day lives. People often make conclusions based on feelings and emotions. This is not science. The nature of science is explaining the data obtained through observation and measurement of space time relationships using critical thinking and scientific principles. Explanations or conclusions based on scientific principles and critical thinking are less likely to be prejudicial.

The trick is to use critical thinking and scientific principles in our explanations of observable events. Making inferences is about using our previous experiences to explain observations and measurements of space time relationships. In science we have to try and balance our creativity with critical thinking.

Inferences do not necessarily have to be correct - but they must be based on observations and measurements.

E.g. Observations - After a weekend away I observe my backyard garden of 2 week old tomato plants have wilted and some almost look dead. The days are hot and the ground is dry. The neighbour does not have healthy plants.

Conversation: Me - "I din water meh plants so dey wilt."

First Friend - "I feel the plants wilted because the neighbour jealous yuh and she have 'bad eye' so she gie the plant and dem 'maljo'. Yuh no 'najar'".

Second Friend - "Wat stupidness yuh taking? It eh have nuting like maljo. The plants belong to God and he has decided to take dem, so doh question it!"

• My statement is an inference.
• First Friend's statement is not an inference.
• Second Friend's statement is not an inference.

hy? - The first is a reasonable explanation based on observable evidence but whiles the second and third may be reasonable, they are not based on observable and repeatable evidence.

 

Note that I do not doubt the truth of the second or third conclusions - they could very well be true! But they are not scientific so they are not scientific inferences.

Note also , that I am not saying that first statement is true - it might be totally wrong e.g. if the plants got a disease! But it is still an inference.

 

Whenever we try to explain the natural world and we use repeatable, observable evidence, we make inferences.

Back to Basic Inquiry Skills

Making predictions

What is it? Why do we use it? How do we use it? When ? Where do we use it?
Predicting: suggesting the outcome of an event using critical thinking and scientific principles. It is about making forecast about a single event using the scientific method.

We naturally try to forecast the future of our world. This leads to a level of comfort in our day to day lives as we feel better prepared to face the future. People make forecasts based on feelings and emotions. This is not science. The nature of science is predicting the data to be obtained through observation and measurement of past space time relationships using critical thinking and scientific principles.

The trick is use critical thinking and scientific principles in our forecast of observable events. Making predictions is about using our previous experiences to decide on possible outcomes of observations and measurements of space time relationships. In science we have to try and balance our creativity with critical thinking.

Predictions do not necessarily have to be correct - but they must be based on observations and measurements.

E.g. Observation - Before a weekend away I observe my backyard garden of 2 week old tomato plants are healthy. It is the dry season with hot, dry days and the ground is dry. The neighbour does not have healthy plants.

Conversation: Me - "If meh plants and dem eh water for this weekend the go wilt an ded."

First Friend - "Yuh dotish eh! I feel the plants go wilt fuh sure, because yuh neighbour jealous yuh and she have 'bad eye' so she gie the plant and dem 'maljo'. Yuh no 'najar'". Boy d plants dem ded ahready!

Second Friend - "Wat stupidness yuh taking? The plants belong to God and if he want to take dem, he go take dem in he own time so doh question it!"

My statement is a prediction.
• First friend's statement is not a prediction.
• Second friend's statement is not a prediction.

Why? - The first is a reasonable forecast based on observable evidence but whiles the second and third may be reasonable, they are not based on observable and repeatable evidence.

 

Note that I do not doubt the truth of the second or third conclusions - they could very well be true! But they are not scientific so they are not scientific Predictions.

Note also , that I am not saying that first statement is true - it might be totally wrong! I might water the plants and they may still die from some disease! But it is still a scientific prediction.

 

Whenever we try to forecast natural world events and we use repeatable, observable evidence, we make predictions.

Back to Basic Inquiry Skills

Integrated Inquiry Skills:

These involve the use of one or more basic inquiry skills. They are:

8. Making Hypotheses
9. Controlling Variables
10. Experimenting
11. Interpreting Data
12. Experimenting
13. Making Operational Definitions
14. Creative Thinking
15.Critical Thinking
16. Problem Solving

 

Making Hypotheses

What is it? Why do we use it? How do we use it? When ? Where do we use it?
Formulating hypothesis is generalizing the outcome of events using critical thinking and scientific principles based on the observations of similar events. While an inference or prediction is about a single event, hypotheses are about all similar phenomenons. A hypothesis links two variables in a measurable relationship and is based on some kind of observable, reliable and repeatable evidence.

We naturally try to generalize events in our world. This leads to a level of comfort in our day to day lives as we feel better prepared to face the future. People make forecasts based on feelings and emotions. This is not science. The nature of science is making hypotheses through observation and measurement of past space time relationships using critical thinking and scientific principles.

It is important to use critical thinking and scientific principles in making hypotheses. Consider my experience with a particular brand of soap. If I have determined that soap assists water to wash and I generalize this to all brands of soap, I am making a hypothesis.

Hypotheses do not necessarily have to be correct - but they must be based on observations and measurements linking only two variables in a measurable way.

Do you recognize that without generalizations we would have to evaluate every new situation in detail even though we have experienced similar events in the past?

E.g. I have found that in growing tomatoes during the dry season, if I water them every day I get more fruit. I make an inference "Tomato plants watered daily in the dry season produce more fruit". When I generalize this to "All plants watered daily in the dry season produce more fruit", I am making a hypothesis.

Why? - My inference is about a specific observation that I have done. My hypothesis is generalizing this observation to other similar phenomena.

Does my statement satisfy the characteristics of a hypothesis? - Yes.

There are only two variables - daily watering and amount of fruit produced.
The relationship is measurable - I can measure if the plants produce more fruit. More can be numbers of fruits or mass of fruits. I really should have indicated which of these I observed.
The relationship is based on my observation of observable reliable and repeatable evidence.

Note that I am not saying that hypothesis is true - it might be totally wrong e.g. I might water the citrus plants daily and they produce less or no fruits! But it is still a hypothesis.

Consider the following "All plants watered daily in the dry season produce better fruit". This is not a hypothesis because I will have difficulty defining what better fruits are. Are they sweeter? larger? more numerous? more nutritious? More aesthetically appealing?

Whenever we try to generalize natural events world we make hypotheses.

Back to Integrated Inquiry Skills

Controlling Variables

What is it? Why do we use it? How do we use it? When ? Where do we use it?
Controlling Variables involves identifying which quantity is manipulated (change by the investigator) and which quantity changes as a result (responding). Other quantities held constant (but which could be changed) are called variables held constant.

We only investigate the relationship between two variables at a time, so all other variables which can affect the results of an investigation must be held constant while we try to determine the relationship between these two selected variables.

IWe identify all the quantities which can change. These are often:

Environmental parameters
Equipment parameters
Investigator parameters

The quantity we can change (manipulated variable) is changed according to our design and the change which results in the other quantity (responding variable) is recorded. All other variables are held constant during the investigation.

E.g. In determining the period of a simple pendulum the following quantities can change:

Length of the string
Angle of release
Type of string
Thickness of the string
Material of the string
Other physical quantities of the string
Type of bob
Mass of the bob
Material of the bob
Other physical quantities of the bob
Environmental conditions
The manner in which the investigator starts the pendulum swinging
The instruments used in the measurements (rulers, stop watches etc.)

We can only investigate one of these at a time so if we want to investigate the relationship between the length of the string and the period of the pendulum all the other variables must not change so we must use the same string, bob and angle of release etc..

Whenever we try to generalize natural events world we make hypotheses.

Back to Integrated Inquiry Skills

Experimenting

What is it? Why do we use it? How do we use it? When ? Where do we use it?

Experimenting is the skill to plan, design, carry out an investigation and evaluate the results of the investigation. Experimenting involves:

• identification of all the variables.
• determining the linked variables (manipulated and responding)
• a procedure for testing the relationship.
• appropriate equipment for testing the relationship.
• conducting the activity and taking readings.
evaluating the results of the investigation

Science is based on observable, repeatable data. The ability to plan, design, carry out an investigation and evaluate the results is an important preparation for life skills. An understanding of how scientists conduct investigations is very important to understanding what science is.

brainstorm to develop a plan
• establish control groups
develop a hypothesis using creative thinking
propose solutions based on this hypothesis
acquire relevant resources as per plan
test the hypothesis and solutions
modify the hypothesis to integrate the new evidence collected in the investigation using creative thinking
evaluate the solution using critical thinking always working to solve the original problem.
redo plan to accommodate new data
restart process
Whenever we try to generalize natural events world we make hypotheses.

 

Interpreting Data

What is it? Why do we use it? How do we use it? When ? Where do we use it?
Interpreting Data involves making sense of our recordings as well as finding explanations in the scientific literature to back up our inferences, predictions and hypothesis. It may involve displaying data in graphical or other forms to provide evidence for our own inferences and hypotheses.

Raw data must be presented in some organized fashion for it to be meaningful. E.g. Data on the growth of seedlings is collected in some tables. Until some kind of organization is done on the table, the data is not very meaningful. Presentation of the data in a graph will probably enhance understanding of the trends.

We try as far as possible in communication skills to develop tables or other data recording structures. In investigations the decision to take readings involves determining:

• The data range
• Appropriate instruments to be used
• Procedure for collecting data

When data is collected it has to be organized to determine trends. Some of these are the use of:

• Graphical methods
• Statistical methods
• Calculations

E.g. if the length of the string is varied and the corresponding periods obtained for the simple pendulum the following had to be decided:

• What are appropriate instruments and units for measuring
• The length of string
• The time taken for one swing
• Appropriate range of the string length
• How do we measure such a small time accurately?
• How do we show the trends in the data obtained?
• Calculation?
• Graphs?
• Statistical method?
Whenever we try to generalize natural events world we make hypotheses.

Back to Integrated Inquiry Skills

Defining Operationally

What is it? Why do we use it? How do we use it? When ? Where do we use it?
Defining Operationally is finding meaning for our observations and measurements in terms of one own experiences. The attempt to remove the scientific jargon and use words more familiar to the learner by simplifying principles to accommodate concepts too difficult for the learner to accommodate. This is what makes meaning of the world!

We can only accommodate the new information if it is meaningful and understandable to us. We must, therefore, make every effort to present our findings in the simplest ways.

True understanding of a concept can often be demonstrated by ones ability to explain it in simple everyday language. Results of investigations presented in complex language or only mathematical terms may not be the best for learners. As the aim of science is to make explanations for the data gathered, it is important that we find meaning in the simplest possible language.

Whenever we do an investigation we must make the conclusions in the simplest possible language.

Back to Integrated Inquiry Skills

Problem Solving

What is it? Why do we use it? How do we use it? When ? Where do we use it?
Problem Solving is the ability to identify a problem, develop a hypothesis, propose solutions based on this hypothesis, test the hypothesis and solutions and modify the hypothesis to integrate the new evidence collected in the investigation always working to solve the original problem. Problem solving is the process of moving toward a goal when the path to that goal is uncertain. What constitutes problem solving varies from person to person. For a small child, tying shoelaces will indeed require problem solving, just as cooking an omelet entails problem solving for many adults. Thus problem solving involves an interaction of a person's experience and the demands of the task. Once we have mastered a skill, we are no longer engaged in problem solving when we apply it. For a task to require problem solving again, novel elements or new circumstances must be introduced or the level of challenge must be raised.

Science is based on observable, repeatable data. The ability to test our hypotheses and to verify the results of other investigators is an important facet of the science investigative process. In addition, problem solving is not an advanced process that is reserved solely for mature learners. Indeed, people of all ages can and must be solvers of problems. Perhaps young children are the most natural problem solvers. Because they continually face circumstances that are novel, they must adapt. It's their "job." And they are amazingly good at it. Moreover, young children don't fret about failure the way that school-age children and adults tend to do. They take detours and setbacks in stride because they know intuitively that such obstacle are a part of the problem solving process. Still, we need to encourage problem solving in children. Whenever possible, this involves letting children find their own ways of reaching their goals. Good parents and other caregivers know when to stand back and let a child figure things out and when to step in and offer the right amount of help. For educators to accept errors, uncertainty, and indirect paths toward solutions is itself a difficult problem because doing so contradicts our ingrained beliefs and expectations about teaching and learning. But problem solving must be understood and promoted if the next generation is to be prepared for the unprecedented challenges (i.e., problems) that it will face.

• identify a problem
• develop a hypothesis using creative thinking
• propose solutions based on this hypothesis
• establish control groups
• test the hypothesis and solutions " modify the hypothesis to integrate the new evidence collected in the investigation using creative thinking
• evaluate the solution using critical thinking always working to solve the original problem.
We solve problems every time we achieve something without having known beforehand how to do so. We encounter simple problems every day: finding lost keys, deciding what to do when our car won't start, even improvising a meal from leftovers. But there are also larger and more significant "ill-defined" problems, such as getting an education, becoming a successful person, and finding happiness. Indeed, the most important kinds of human activities involve accomplishing goals without a script.

Back to Integrated Inquiry Skills

Critical Thinking

What is it? Why do we use it? How do we use it? When ? Where do we use it?

Critical Thinking involves the ability to collect as much evidence as possible before making decisions which must be based on logical steps and scientific principles. It encompasses the entire process of obtaining, comprehending, analyzing, evaluating, internalizing, and acting upon knowledge and values. Critical thinking involves:

• Identifying the problem
• Clarifying issues
• Considering all point of view
• Focusing on relevant topics and methods
• Gathering all the data
• Accessing relevant data and information
• Judging credibility of sources
• Treating unreliable or odd information skeptically
• Manipulating data and use statistics
• Analyzing Arguments
• Using Logical Reasoning
• Avoiding logical fallacieS
• Identifying assumptions
• Understanding induction and deduction
• Evaluating the data using
• Logic
• Scientific principles
• Relying on Empirical Evidence
• Validating evidence by repetition
• Avoiding wishful, hopeful, and subjective thinking
• Watching out for authoritarian influences
• Watching out for specious arguments
• Always focusing on Problems and Questions

Science is based on observable, repeatable data. The ability to test our hypotheses and to verify the results of other investigators is an important facet of the science investigative process. In addition, problem solving is not an advanced process that is reserved solely for mature learners. Indeed, people of all ages can and must be solvers of problems. Perhaps young children are the most natural problem solvers. Because they continually face circumstances that are novel, they must adapt. It's their "job." And they are amazingly good at it. Moreover, young children don't fret about failure the way that school-age children and adults tend to do. They take detours and setbacks in stride because they know intuitively that such obstacle are a part of the problem solving process. Still, we need to encourage problem solving in children. Whenever possible, this involves letting children find their own ways of reaching their goals. Good parents and other caregivers know when to stand back and let a child figure things out and when to step in and offer the right amount of help. For educators to accept errors, uncertainty, and indirect paths toward solutions is itself a difficult problem because doing so contradicts our ingrained beliefs and expectations about teaching and learning. But problem solving must be understood and promoted if the next generation is to be prepared for the unprecedented challenges (i.e., problems) that it will face.

• identify a problem
• develop a hypothesis using creative thinking
• propose solutions based on this hypothesis
• establish control groups
• test the hypothesis and solutions " modify the hypothesis to integrate the new evidence collected in the investigation using creative thinking
• evaluate the solution using critical thinking always working to solve the original problem.
We solve problems every time we achieve something without having known beforehand how to do so. We encounter simple problems every day: finding lost keys, deciding what to do when our car won't start, even improvising a meal from leftovers. But there are also larger and more significant "ill-defined" problems, such as getting an education, becoming a successful person, and finding happiness. Indeed, the most important kinds of human activities involve accomplishing goals without a script.

Back to Integrated Inquiry Skills

Creative Thinking

What is it? Why do we use it? How do we use it? When ? Where do we use it?

Creative Thinking is the ability to think "outside the box" but still adhering to the scientific method and scientific principles. Creative thinking works in tandem with critical thinking. Creativity involves the ability to go beyond the schema normally used to approach a problem and change the framework so the problem might appear in a different light. The creative thinker has the ability to consciously shift perspective when viewing a problem so that many different views of the same problem are examined. Critical thinking involves:

• examining the problem from different perspectives.
• proposing creative solutions which may not adhere strictly to known scientific principles.
• avoiding emotional solutions yet being prepared for unusual solutions

Science is based on observable, repeatable data. The ability to test our hypotheses and to verify the results of other investigators is an important facet of the science investigative process.

Creative thinking and critical thinking are sometimes called productive thinking. We often use these together in the planning and designing activities together with the class. During an initial brainstorming phase, critical restraints are minimized to encourage a free creativity in generating lots of ideas, but these are critically examined at an editing phase. It is important that in brainstorming, whether it is in pre hands-on or post hands-on, be free as censoring the ideas as they emerge may stifling creativity. Record all ideas when you brainstorm and edit the ideas when you are discussing using the scientific method. We should not hinder the creative process by analyzing the ideas during the creative phase - this is more appropriately treated with critical thinking in the discussion phase. Critical thinking is like the brakes on a vehicle, and creative thinking is analogous to the accelerator. Some of us are over cautious and "ride" the brakes all the time, other never use the brake… Over use of the brake will get us nowhere and stressed! Over acceleration will get us nowhere fast and probably not in one piece! How many people have you stressed with your "speeding"? A good driver uses the accelerator and the brake wisely. Creative thinking must be balance by critical thinking. Together they often create a tension between tradition and innovation. A good detective uses creative thinking and subsequently evaluates all the evidence using critical thinking.

Whenever we do an investigation we must use creative thinking.

Back to Integrated Inquiry Skills

Conclusion:

The pre hands-on phase of the lesson may involve inquiry skills. It often uses basic inquiry skills #1-5. (observing, measuring, classifying, using space-time relationships, communicating).

The hands-on phase of the lesson involves gathering data. It often uses basic inquiry skills #1-5. (observing, measuring, classifying, using space-time relationships, communicating).

The post hands-on phase of the lesson involves trying to explain the data gathered. Here it is advisable to use #6 and #7 of the basic inquiry skills and /or the integrated inquiry skills. (inferring, predicting, controlling variables, hypothesizing, interpreting data, making operational definitions, experimenting, problem solving, critical thinking, creative thinking).

Though not usually included in the unit plan the pre hands-on phase may involve high level inquiry skills (usually controlling variables, hypothesizing, experimenting, problem solving, critical thinking, and creative thinking).

Inquiry skills should be used in all science lessons in the primary school. Depending on the approach the same concept may be taught using different inquiry skills.

Lesson A:

Mesh size Sand passes through the mesh (yes/no) Gravel passes through the mesh (yes/no) Mesh suitable for job (yes/no)
fine
medium
course

Concept: "Sieves have holes which allow the smaller components of mixtures consisting of particles to be separated according to particle size".

Pre Hands-on Activity

Teacher explains that in building a house the builders have a problem. The sand used for plastering the brick walls have become mixed with gravel. In plastering the gravel makes the task difficult as it prevents the mason from creating smooth walls. Pupi;s are presented with the problem to solve

Hands-on Activities:

Inquiry Skill(s): communication, problem solving, creative thinking.

Pupils (in groups of 4) are presented with a mixture of gravel and sand, sieves of different sizes, and bowls. Pupils are asked to try to separate the mixture into sand and gravel.

They plan a procedure and record the results of their activity in the table.

Post Hands-on Activities

Inquiry Skill(s): Making Inferences, critical thinking

Pupils discuss the results. They critically analyze their procedure and make inferences about why the mesh separates the particles of different sizes. The application of sieves in real life is discussed. Use of filter paper and cloth to separate mixtures are discussed.

 

Lesson B:

Concept: "Sieves have holes which allow the smaller components of mixtures consisting of particles to be separated according to particle size".

Hands-on Activities

Inquiry Skill(s): Observation, communication

Pupils are given a filter paper to separate an undissolved sugar from a solution of sugar. They are instructed to fold the paper in a two half folds and place it in a funnel. Pour the mixture into the funnel and observe the results. Pupils draw the equipment and label it.

Post Hands-on Activities

Inquiry Skill(s): Making Inferences, critical thinking

Pupils discuss the results. They make inferences about why the paper separates the particles from the solution. The application of filtration in real life is discussed. Use of filter paper and cloth to separate mixtures are discussed.

 

As we move up the primary school we find that we can use higher level inquiry skills. Generally higher level inquiry skills are displayed in the post hands-on.

© Kishore Lal 2006.