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Using Real Data in the Math Classroom*
 
Course Description
    

Real-world data are a glimpse into a complex story that involves much more detail than the numbers would suggest. We want students to look "behind the scenes" by organizing, representing and analyzing these data. Technology is central to this task, both as a source of data and as a tool for data analysis. Technology tools and web-based materials provide important ways for math educators to meet key NCTM and ISTE standards that emphasize problem solving and making connections between mathematics, other disciplines and the real world. These standards include a significant emphasis on representing and analyzing data, including a focus on being able to evaluate the sources of data and the effectiveness of different representations that students will encounter both inside and out of school. This course will explore a range of web-based resources and exemplary projects which utilize technology to support these goals. Participants will learn how to find sources of real data on the Web and explore how technology tools such as spreadsheets can help students analyze, visualize and make sense of these data. Participants will complete the course with a collection of resources and beginning project ideas that serve their curricular goals.

*This course is open to all certified teachers of mathematics through grade 8 who are or have taught in the middle grades mathematics classroom.

 
Course Syllabus
    

Real-world data are a glimpse into a complex story that involves much more detail than the numbers would suggest. We want students to look "behind the scenes" by organizing, representing and analyzing these data. Technology is central to this task, both as a source of data and as a tool for data analysis. Technology tools and web-based materials provide important ways for math educators to meet key NCTM and ISTE standards that emphasize problem solving and making connections between mathematics, other disciplines and the real world. These standards include a significant emphasis on representing and analyzing data, including a focus on being able to evaluate the sources of data and the effectiveness of different representations that students will encounter both inside and out of school. This course will explore a range of web-based resources and exemplary projects which utilize technology to support these goals. Participants will learn how to find sources of real data on the Web and explore how technology tools such as spreadsheets can help students analyze, visualize and make sense of these data. Participants will complete the course with a collection of resources and beginning project ideas that serve their curricular goals.

 

Goals and Objectives

This course will enable participants to:

Learn how Common Core State Standards (and the NCTM Math and ISTE standards) can be met by using real world data in math classrooms supported by appropriate technology

Learn how to find mathematical data on the Web and download it into a spreadsheet

Learn how to find and evaluate projects that include analysis of real data

Learn to evaluate the appropriateness of varied data sets for specific pedagogical goals

Learn about a variety of data analysis tools appropriate for classroom use

Develop a personal collection of web-based resources for curricular use

Develop preliminary plans for a technology-enhanced classroom activity that uses real data

Audience

This is an introductory course for teachers, technology specialists, curriculum specialists, professional development specialists, or other school personnel. Participants are expected to have regular access to computers, and proficiency with email and current web-browsers.

Course Details

This course is divided into six one-week sessions which each include readings, an activity, and an online discussion among course participants. The time for completing each session is estimated to be two to four hours.

The outline for the course is as follows:

Session One: What Can We Learn from Data? How Can Technology Support Telling the Story of Data?

Session Two: Understanding Patterns and Making Predictions

Session Three: Developing a Statistical Analysis

Session Four: Telling the Story of Data using Graphs and Technology

Session Five: Exploring Sources of Real Data on the Web

Session Six: Developing Preliminary Plans for a Technology-Enhanced Classroom Project that Uses Real Data

In the first two sessions, participants will learn how technology can support the use of real world data in the math classroom to teach important mathematical content and will consider how technology can help students make predictions. In Session 3, participants will analyze two sets of data and will think about the challenges and opportunities of implementing technology-enhanced data analysis activities in the classroom. Sessions 4 and 5 will present participants with a number of online tools and web-based resources that can be used in a classroom unit on data analysis. They will also consider how technology-enhanced data analysis in the math classroom can help meet ISTE technology standards. Finally, in Session 6, participants will make preliminary classroom plans for a technology-enhanced lesson that uses real data.

Course participants are expected to complete weekly assignments, including active participation in the online discussion board.

 

Assessment

These are suggested criteria to be used for evaluating successful participation in and completion of this course.

Discussion Postings

Participants are expected to respond to the online discussion prompt in each of the course sessions with an original posting. Participants are also expected to respond to the postings of other course participants in each course session.
Guidelines for original discussion postings can be found here.

Course Activities

Participants are expected to complete the required course readings and activities as posted in each of the session assignment pages. Participants are expected to post reflections about the assigned readings and the completed activities in the online course discussion.

Final Product

Participants are expected to complete and submit the final product during throughout the course sessions.

Final Course Survey

Participants are expected to complete the final course survey within one week of the end of the last course session.

 

Orientation Quiz & Workshop Surveys: Participants must complete an Orientation Quiz with a score of 90% or higher.  In addition, participants are expected to complete both a pre-course and a post-course surveys. The Orientation Survey is to be completed by Sunday during the Orientation Session and the Final Survey is to be completed by Sunday during Session Six.

Copyright and Plagiarism

All resources referenced during the course will be properly documented. Copyright guidelines are to be observed throughout the course project and all course activities.  All work associated with course projects, course assignments and course discussions will be original to each course participant. Fair use does not apply to the course project. 

Plagiarism, the reproduction of all or any part of another individual’s or organization’s work, by a course participant of work associated with the course project or other course assignments at any point during the course will result in no credit being awarded for the course.

Grades

All grades in the course gradebook must be a "C" for successful course completion.  A grade of "C" indicates that all work has been completed and the work meets the expectations for that assignment.

The grade scheme for this course will be:
C = all work meets the guidelines provided
I = the work submitted is incomplete and/or does not meet the guidelines provided
N = no work has been submitted 

Certificate of Completion

Upon successful completion of this course, Using Digital Portfolios to Foster Student Learning, participants will receive a Certificate of Completion documenting successful completion of the course requirements. Certificates are distributed to each qualifying participant by attachment to the final project dropbox after the completion of the course.

Non-Degree Graduate Credit Information

Participants in this course are eligible to receive non-degree graduate credits from either West Virginia University, West Virginia State University Marshall University or Concord University. Credits will be awarded at the end of the semester. Additional information is available on the course News/Welcome Page.

 

This course will help participants learn and apply the following Common Core Mathematics Standards to their teaching:

© 2010. National Governors Association Center for Best Practices and Council of Chief State School Officers. All rights reserved.

This course, Using Real Data in the Math Classroom, will help participants meet the ISTE Educational Technology Standards and Performance Indicators for All Teachers (http://edtechleaders.org/documents/NETSAdminTeachers.pdf), especially Standards II, III, IV.

For more information about Technology Integration visit: http://www.iste.org

About this Course

This course was developed by EdTech Leaders Online at Education Development Center. EdTech Leaders Online provides capacity building, training, and online courses for school districts, state departments of education, and colleges and universities.

Last update:  October , 2014

© 2012 Education Development Center, Inc., through its project, EdTech Leaders® Online, http://www.edtechleaders.org. All rights reserved.