1. UMass Lowell
Dept. of Computer Science 
Graduate School of Education
Machine Science Inc.
Tsongas Industrial History Center
U.S. National Park Service

2. What is iSENSE?
iSENSE is a set of free tools for collecting, sharing, and visualizing scientific data.
We are developing mobile apps, data-logging hardware, and a data-sharing web site.
iSENSE is intended for use in middle school and high school classrooms.
The technology can be used to teach math, engineering, physics, chemistry, earth science, and other subjects.

3. Agenda Key Concepts Introductory Survey Data-Collection Activities
Car Ramp Physics – accelerometer data – project 570
Data Walk – GPS data – project 569
Use contribution key “MIT”
Discussion
How to integrate iSENSE into teaching

4. Key Concepts PROJECT Data Set Project Repository for data Field
Type and source of anticipated data
Data Set
Table of values
Visualization
Graphical view of one or more data sets
Field 1
Field 2
Field 3
Value a
Value d
Value g
Value b
Value e
Value h
Value c
Value f
Value i
Data Set 1
Value j
Value l
Value n
Value k
Value m
Value o
Data Set 2
Visualization 1
Visualization 2
Visualization 3

5. Introductory Survey Goals Create an iSENSE account
Log in to the web site
Get familiar with the web site
Contribute data using the Manual Entry method
Explore the visualization tools
Link

6. Accelerometer App Goals Collect acceleration data using a mobile app
Contribute the data to iSENSE
Use iSENSE to examine multiple data sets
Explore the different visualizations
Save one or more visualizations
Link

7. GPS Tracking App Goals Collect acceleration data using a mobile app
Contribute the data to iSENSE
Use iSENSE to examine multiple data sets
Explore the different visualizations
Save one or more visualizations
Link

8. Why Use iSENSE?
Sharing projects and data online takes good classroom activities, which are often private, static, and ephemeral, and makes them public, evolving, and lasting.
We are in the age of “big data,” and science is becoming a data-driven enterprise. It’s important for students to begin developing data science skills.
Many of the eight cross-cutting Next Generation Science Standards science and engineering “practices” can be integrated into iSENSE activities.
NGSS Practices
1. Asking questions (for science) and defining problems (for engineering)
2. Developing and using models
3. Planning and carrying out investigations4. Analyzing and interpreting data
5. Using mathematics and computational thinking
6. Constructing explanations (for science) and designing solutions (for engineering)
7. Engaging in argument from evidence
8. Obtaining, evaluating, and communicating information

9. Going Forward Questions or comments?
Ideas for using iSENSE as a teaching tool?
Suggestions for additional features?
We have resources and funding available to work with you to integrate iSENSE with your teaching.
This material is based upon work supported by the National Science Foundation under grants DRL , DRL , REC , IIS , and IIS Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.