Lesson video

Hello, My name's Mrs. Antrobus.

Welcome to Computing.

I'm so glad you could join the lesson today.

Today we're going to be learning how to use data from sensors to answer questions.

Welcome to today's lesson from the Data Logging unit.

Today's lesson is called "Using Data from Sensors to Answer Questions." By the end of this lesson, you'll be able to use data from sensors to answer questions.

Throughout this lesson, we'll be using these key words.

Analyse.

Analyse, to look at something in more detail to further understand it.

Review.

Review, assess the quality of something.

Conclusion.

Conclusion, judgments based on the results of your findings.

Today's lesson will be broken down into three sections.

The first part, interpret data collected using a data logger.

Second part, draw conclusions from data collected, and the third part, explain the benefits of using a data logger.

Let's get started.

After data has been collected, it needs to be interpreted.

Although data loggers are great for gathering data, they cannot interpret the results for you.

Interpreting data involves identifying patterns, spikes, trends, and any unusual readings.

To analyse the data that you have collected, you need to download it from the data logger or open it on a computer if it has already been downloaded for you.

Once your data file is open in the logging software, you need to check that it is your data.

Is it what you expected? Are the dates and time correct? It's important that we check the data is accurate before we move on.

It can be helpful to take a closer look when interpreting data.

use the buttons to hide or show each graph.

You can see here on the right hand side a picture of the different buttons you can choose.

Zoom to view the data more closely so it's easy to read.

Think about your question and review if the data that you collected answers it, because that's what it's all about.

The data logger was set up to answer a particular question.

For example, what is the temperature of the classroom overnight? Let's check your understanding.

True or false? A data logger will only record data.

People need to interpret the data by identifying patterns, spikes, trends, and any unusual recordings.

True or false? Pause the video and think about that for a moment.

Okay, how did you get on? Did you say true or false? Well, if you said true, that would be correct, but why is that? Well, data loggers only record data.

Once collected, people can analyse the data to identify patterns, spikes, trends, and any unusual recordings.

How did you get on? Did you get the answer correct? Well done.

Okay.

Here's another one.

When you using a graph, why might it be helpful to zoom in on the data you've collected? A, you can pinpoint data points, B, you can see things in more detail, C, it gives you an overall view of the data collected, and D, if you have a large data set, it can help you to see the data more clearly.

Pause the video and think about that question.

Okay, how did you get on? Well, if you said A, B, and D, you would be correct because it is important to pinpoint data points, and using the Zoom facility can help you do this.

It can also help you see things in more detail.

And if you have a large data set, it can help you to see the data more clearly.

Well done.

Let's move on.

Okay, now we're going to have a look at task A.

We're going to download the data that has been collected and check you are happy with it.

You're going to change the view in the logging software to look at the data if it's helpful, so you're going to, A, download, B, check, C, view.

And then you're going to identify any patterns, spikes, trends, or unusual readings, so you've got quite a lot to do there.

Pause the video and have a go at the task.

Okay, how did you get on? Were you able to download the data successfully? Have you checked everything is okay, and have you started to identify any patterns, or spikes, or trends? Let's have a look at some example answers.

Okay.

Izzy's question was, how cold does the classroom get at night? So, Izzy has identified the temperature graph has two dips.

These are the colder temperatures.

You can see here on Izzy's graph, she has pinpointed that the temperature drops to 17.

4 degrees C.

How did you find it interpreting the data? Was it tricky? Well done for having a go.

Let's move on to the second part of our lesson.

Draw conclusions from data collected.

Now that you've collected your data, you'll analyse the data to draw some conclusions.

What does the data that you collected tell you? You'll use the data to make judgements based on what the data tells you.

What does the word conclusion mean? Let's check your understanding at this point.

A, to look at something in more detail to further understand it, B, to assess the quality of something, or C, to make judgements based on the results of your findings.

Pause the video and have a go.

Okay.

How did you get on? Well, if you said C, that would be correct.

Conclusion means making judgements based on the results of your findings.

Well done.

Let's move on.

To draw a conclusions from the data, we first of all need to check if the questions can be answered.

How cold does the classroom get at night? This was Izzy's question.

This is the data Izzy collected.

Do you think this data answers the question above? Pause the video and think about it.

Okay, so what do you think? Well, Izzy says, "The data I collected answers my question." She thinks that because the temperature has been recorded overnight as she intended.

Does the data tell us anything else? Well, Izzy says, the data showed that there wasn't much of a drop in temperature between day and nighttime because the temperature is fairly consistent.

Once the data is reviewed, information about what you found can be shared with other people.

You can share what you found out in many different ways, such as creating reports or presentations.

Let's check your understanding.

How could you present your findings to others? Think about that for a moment and pause the video.

Okay, so what do you think? How could you present your findings to others? Well, Jun said you could write a report, Alex said you could create a presentation, and Jacob said create a video explaining what you have learned.

And if you wrote any of those in your response, then you will be correct because you could present your findings in any of those ways.

Let's have a look at task B.

For the first part, you're going to write a data collection report using the prompts on the following slide to share your findings with others.

You're going to draw conclusions from the data collected.

Let's have a look at the data collection report prompts.

A, I used the data from the data logger to answer this question, B, I thought that the data I collected would show, C, how I set the data logger up, and D, I found out that, E, my conclusion is.

Okay, using these prompts, you should be able to create a really good data collection report.

I want you to pause the video and have a go.

How did you get on with your data Collection report? Did you find it tricky? I hope the prompts helped you along the way.

Let's have a look at some example responses.

A, I use the data from the data logger to answer this question.

Izzy's response was, "How cold does the classroom get at night?" B, I thought the data I collected would show.

Izzy said, "That the classroom will be coldest at midnight, and it will be much colder than the daytime." C, how I set the data logger up.

Izzy said, "I set the data logger up at the edge of the classroom and started it logging data at 2:30 PM.

I stopped it logging at 9:30 AM the following day." D, I found out that.

Well, Izzy said the classroom was coldest at 6:00 AM.

The lowest temperature was 17.

4 degrees C.

The highest temperature at any time was 20.

8 degrees C.

My conclusion is.

Let's have a look at Izzy's conclusion.

My conclusion is that the classroom doesn't get as cold as I thought it would at night.

There was only a 3.

4 degree C difference from the coldest to the warmest temperature.

I'd like to try this experiment at different times of the year to see if the seasonal changes make a difference.

That's a really good conclusion from Izzy.

How does yours compare? Okay, let's move on to the third part of today's lesson, explain the benefits of using a data logger.

Benefits of using a data logger.

It can be helpful to use a separate data logger, rather than a programme on your computer.

If your computer needs to be in a certain place to track data, it may not be convenient to use other programmes.

Therefore, because the data logger does a specific job, it makes it easier to use it rather than use your laptop.

Data loggers collect data automatically, so there is no need for a person to be present.

This means that they can use their time to do other things just like you did.

You set the data logger to collect the data, and then you carried on with the rest of the lesson.

Data loggers can record data over time, 24 hours a day, seven days a week for 365 days a year.

Humans can't do this because we need to sleep sometimes and we have other things to do.

Data loggers can also be helpful in places that are too dangerous of humans or places that are difficult to access.

For example, it wouldn't be possible for a human to log data such as temperatures from a volcano as it would be far too dangerous.

Data loggers can also be used in places like oil rigs or even in outer space to collect data that is very difficult to reach.

Data from data loggers can be exported into spreadsheets so that the data can be analysed further.

Exporting the data means that it can be shared in a widely used file format, enabling others to view or edit the data.

Because remember, not everybody will have the data logger software on their computer.

But by exporting it into a spreadsheet, you can share it with people who have different type of spreadsheet software, such as Excel or Google Sheets.

Data loggers can record quickly at time intervals that will be too fast for humans to record.

Look at the numbers on the screen.

The computer will be able to record this information using a data logger.

There's no way that I can do this.

Can you? Data loggers provide accurate, reliable, and consistent data and reduce the possibility of human error.

Human error is when we make a mistake.

If a human recalls the data, they might write down the wrong number by mistake.

Machines won't do this.

Okay, it's time to check your understanding again.

What is a benefit of using a data logger? Is it A, data loggers can be expensive, B, data can be gathered 24 hours a day, seven days a week, 365 days a year, or C there is a potential for data loss if there are issues with the data logger? Pause the video and give it some thought.

Okay, how did you get on? Well, if you said B, data can be gathered 24 hours a day, seven days a week, 365 days a year, you will be correct.

That is one of the main benefits of using a data logger.

It could be used all the time, unlike humans who need sleep at night.

Let's check your understanding again.

True or false? Data loggers are always better at collecting data than humans.

Is that true or false? Pause the video again and give this some thought.

Okay, so what did you say? Are data loggers better than humans at collecting data? Well, if you said false, you'd be correct.

But why is that? There are many advantages for using data loggers, but they can't collect all types of data, so it cannot be thought to be better than humans in all situations because data loggers can't really gather opinions or feelings.

It's more facts and figures.

We're now going to move on to task C.

First of all, you're going to explain some of the benefits of using a data logger that you have seen today, and then you go to think of any other advantages of using a data logger.

Pause the Video and have a go at the task.

Okay, how did you get on with the task? Let's go through some example responses.

Jun said, "Data loggers can be used in places that are too remote or too dangerous for humans." Izzy said, "Data loggers can collect data really quickly much faster than a human could." And Jacob said, "If companies use data loggers rather than asking their workers to collect the data, their employees will have more time to complete all the tasks." These were all really good explanations of the benefits of using a data logger.

How did they compare to yours? Well done for completing task C.

So now we've reached the end of today's lesson.

You've done a fantastic job, so well done.

Let's summarise what we've learned today.

Data collected from sensors can help answer specific questions by showing what happened when and how it changed over time.

Interpretation involves identifying patterns, spikes, trends, and any unusual readings.

Data loggers provide accurate, reliable, and consistent data readings.

They can record data over long periods even when people are not present.

Thank you for taking part in today's lesson.

I hope you enjoyed it and I look forward to seeing you next time.