Posts Tagged ‘data’

MLTI webinar May 10, 2012 – Science Session Four – Observation, Evidence and Data

May 8th, 2012 Comments off
Collecting plant data on a clipboard

public domain image

One of the prime advantages to using technology in the science classroom is the real-time, particpatory collection of data. Participants will be introduced to how Data Studio, Logger Pro, MyWorld, and Numbers can be used to deal with data. Vital Signs, a website from Gulf of Maine Research Institute allows students and teachers not only to interact with a database about invasive species, but also to contribute their own data and discuss results with other classes and even expert scientists. Zooniverse has a number of web-based astronomy centered databases tin which individuals can participate. Participants will examine how technology can support the collection, organization, and analysis of data for science learning and support the conversation about, communication of, and dissemination of data and evidence from and to selected scientific communities. We will also talk about alignment with the Scientific and Engineering Practices from the new Conceptual Framework.

I hope you can join us on Thursday, May 10 at 3:15pm or 7:15pm. Please click on the Webcasts tab to register. We have upgraded to a new registration system, allowing you to register directly in Adobe Connect, making the whole webinar process smoother and easier! If you have any questions, please contact Juanita Dickson. Click on the time you wish to participate in and you will be directed to an online registration form. Please type your email address carefully as all information will be sent to that address. After registering you will receive a confirmation email with a log in link – please use that link to log into the webinar prior to the start time.

Making Meaning – Step by Step with Vital Signs – Review

May 3rd, 2010 Comments off

April 29th sessions recorded:



MLTI is proud to partner with Gulf of Maine Research Institute’s Vital Signs initiative, a  program that encompasses technology, content and pedagogy using inquiry-based learning. Incorporating the four strands of science learning to deal with essential questions regarding invasive species, Vital Signs offers teachers and students a way to be real scientists dealing with real observations and data.

Vital signs website,, provides a rich environment that allows users to set up accounts so they can add to the data and make comments on fellow citizen-scientists’ observations. However, even if you do not register, you can access the ever-expanding datasets about invasive species through the Expore Data tab.

After formulating an essential question, a user can set up a useful query using the Advanced Search feature. The results of the search can then be downloaded as a CSV (comma separated values) file and inserted into a spreadsheet like Numbers, using the Sort and Export feature.

Once in the spreadsheet, pertinent data can be specified by deleting the extraneous data columns. Then charts and graphs can be made using the appropriate data.

Even better, Google Fusion Tables,, can be used to take the latitude and longitude data to place information on a map, and then export the map as a layer (KML) into Google Earth. Wow!

This is just a general overview. The specific steps are outlined in a document available at

The four strands of science learning are explained in Ready, Set, Science:

Making Meaning – Presenting Reality – 2/4/10

February 5th, 2010 Comments off

Making Meaning – Presenting Reality: Data, Spreadsheets, and Databases

Recordings for the sessions are available here:



What is/are Data?

I used to teach my middle school students that data are observable facts.  In most cases, data are results of measurement as one form of observation. I guess you could state that these would be quantitative representations of reality. On the other hand, data can represent qualitative observations of reality as well.

If we were to get deeply philosophical about data, we could look at how data are related to information and knowledge. In this way, we can look at levels of meaning. Data all by themselves really have no meaning – they just exist, regardless of whether they have been measured or observed.

Data that has been given some relativity or relevance by an observer or collector becomes information. To provide context think of how the word information is used in terms like: information processor, information technology, information desk. In each case data are given some kind of context and that context provides meaning. As educators, we try to help students find that meaning from data. Think of the difference between an almanac and a textbook. An almanac is a collection of data, a textbook by itself offers information.

To go one step beyond, to reach the level of knowledge, it is necessary to provide avenues of larger context, even context that doesn’t exist yet. How sets of information exist as links to each other and how those links can be retained in context provides a much broader and deeper meaning as knowledge. Again, as educators in an inquiry-based classroom, we provide opportunities for students to gather both data and information, find the relationships, and incorporate it all into knowledge. Think of using an almanac to get the data on an area’s climate, and compare different area climates for a set of information about world climate. By relating those sets of information about climates to special features about the areas, you can construct knowledge of biomes.

All this explanation helps us to understand that there is a continuum of abstraction that reaches from the lowest level of abstraction, data; through a higher level, information; to the highest level, knowledge.

Entering Data

So, as teachers, we try to do what we can to help the students derive meaning from data. But first, we have to get that data. So, let’s take a look at what we can do to collect data.

Of course, there is the old observe and record method. Just look and take notes on paper. We can always use a computer to log our notes, as well.  NoteShare can do this very well, whether the data is in text, numerical, image or audio form.One method that can save a lot of trouble and focus on the data we want folks to work with, would be to fill out forms. You know, the old Last Name First routine. Probably most of the forms you filled out were on paper, but the data on those paper forms probably made their way into a computer somewhere to become part of a database.

You could always type the data directly into a spreadsheet, cell by cell. Or you could employ probes or sensors to get immediate real-time data into some form of collector, be it spreadsheet, graph, or database.


Way back when in prehistoric times, 1980, VisiCalc was the killer app. It was one of the progenitors of the personal computer revolution. It was simple – a ledger type format that allowed mass formulaic calculations and showed graphs. Wow! Now the idea has evolved into an integral part of office suites of applications, like Excel in MS Office, Numbers in iWork, and the like, such as NeoOffice and OpenOffice. There’s even a spreadsheet in Google Apps.

Spreadsheets incorporate data entry, either manually or by forms. Remember, these data have no meaning unto themselves. Most good spreadsheets allow you to design forms for users to input data so they won’t be put off by the look and expanse of a spreadsheet – sort of “the man behind the curtain” thing. In a way, the given choices of data to enter add some meaning and point the way to information.

Data can be manipulated in spreadsheets, too. Even the most rudimentary spreadsheets have many formulas that allow you to play with your data in a meaningful way. This is another example of the transition from data to information. The relationships among the data add meaning.

Finally, the data can be analyzed, as well. People who are lucky enough to look at numbers and see trends can glean a lot just by looking at the resultant values. However, spreadsheets can take those results and add even more meaning by turning those values into graphs and charts. Visualization helps to lead the way to knowledge and makes the extraction of meaning easier.

Science Example

Let’s take a look at an example of spreadsheets in science. First we see the blank template for data entry. Next, students visit the US Naval Observatory website to get sunrise and sunset data for their locale. They then enter the data into the spreadsheet. So far – it’s just data with no meaning yet.

Next, the formulae in the spreadsheet calculate the length of sunlight for the dates selected. A sharp person can see the trend in the resultant values. Next, a bar graph that displays the duration of the daylight in a visual form allows students to see what is happening. This is information derived from the data.

The final steps would be to provide context that leads to knowledge. That context could be lecture, comparing graphs, or other forms of synthesis.

So, spreadsheets present opportunities to deal with reality at a number of different levels and can make meaning for students.

Probes, Sensors and real time data entry

A very powerful way to leap from data to information to knowledge is exemplified by two applications on the MLTI MacBook: Data Studio and Logger Pro. The key feature of applications like them is using probes or sensors to monitor a system. The probe continually reads the data it is designed for (temperature, distance, force, etc.) and enters them into a spreadsheet or graph.

The graph instantly relates time and the data collected and displays that relationship. Multiple sets of data can be monitored at once, like temperature, air pressure, humidity, and altitude to immediately show how they might be related. Instant meaning! Both companies supply learning experiences with their probeware and software, usually in bundles, and even ways to construct your own activities.

Here’s an example of a “workbook” from PASCO. Teachers can put together workbooks they way they might use a word processor. These workbooks provide for forms for data entry, along with real time data collection from the probeware.

Databases and Management

In general, you can think of a database as a large collection of data, sorted by records and fields. Think of a bank of filing cabinets, with file folders (fields) that contain data (records.)

There are thousands, if not millions, of databases floating around the internet and on company servers. They are very useful, but only with some form of data entry and retrieval. Most folks use some kind of database management software (DBMS) to get reports that extract data in a form that is meaningful and useful. Again, providing a context to observe the data.

Most of us will not be creating databases, but we can all access incredible amounts of data from databases in our district or on the web. Your school most likely uses a Student Information System, like Powerschool or Infinite Campus. These are ways to interact with databases. You have probably entered data into the system, and retrieved information that you wanted.

Those of you who use MARVEL! (and I hope that is a great number of you) are interacting with a collection of databases in ways that are helpful in your students’ and your own research and information retrieval.

PASCO’s MyWorld is a Geographic Information System (GIS) application that loads a database into the system and relates the data to geographic data to help visualize how place is related to data or phenomena. ESRI’s Arc Explorer is a more widely used GIS application and is available as a free download.

There are all sorts of databases for all sorts of data:

like this one from the US Census Bureau

or this one from the CIA (spooky, huh?) for information like an almanac

or this one from OECD for education with a global spin:

or this one from NOAA

Other Resources

Using Numbers to investigate the meaning of Pi

Daylight lesson for Excel

Pasco resources page

Logger Pro Labs

Arc Explorer

Activities for MyWorld