APAC 2018: Service-Learning and Statistics

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This week I am leading a workshop at the 2018 AP Annual Conference on “Statistics and Service-Learning” in Houston, TX. The talk is on integrating service-learning projects into AP Statistics curriculum, specifically with the goal of impacting students on an affective level.In addition to the resources that you will find below, feel free to check out some of the prior posts on service learning:

ABSTRACT:

This session will equip participants to design, implement, and evaluate AP Statistics service-learning projects in which students partner with nonprofit organizations in their local community. These projects synthesize the major concepts of experimental design, data analysis, and statistical inference in the real-world context of community service. Through these projects students integrate their conceptual understanding of statistics with the practical functioning of their local community, ultimately gaining a deeper appreciation for the role of statistics in the organization and evaluation of service societies.

PRESENTATION:

You can click the image below to find the PowerPoint that accompanied my presentation.

 

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For many of the service-learning projects that my students have completed I am indebted to the willing partnership of Mobile Loaves and Fishes. Here is some introductory information on this great ministry:

Community First! Village Goes Beyond Housing for Austin Homeless, from the Austinot

10 THINGS TO CONSIDER BEFORE IMPLEMENTING A SERVICE-LEARNING PROJECT:

The following are the foundational questions that you as an instructor should consider and reflect upon prior to implementing a service-learning project. This list is not meant to be chronological though some aspects will naturally precede others. Start by considering the course learning objectives and your method of assessing those objectives and then go from there.

1.What are the major learning objectives/big ideas/enduring understandings for your course?

The purpose of the AP course in statistics is to introduce students to the major concepts and tools for collecting, analyzing and drawing conclusions from data. Students are exposed to four broad conceptual themes:

  • Exploring Data: Describing patterns and departures from patterns
  • Sampling and Experimentation: Planning and conducting a study
  • Anticipating Patterns: Exploring random phenomena using probability and simulation
  • Statistical Inference: Estimating population parameters and testing hypotheses

2. What are real-world situations where students can apply the concepts studied in your course?

  • Identifying a non-profit service agency which requires survey research (program evaluation, client needs assessment, etc.)
  • Students develop a survey instrument, conduct survey, compile and code data, analyze data, present results

3. List some potential community partners along with some basic descriptors that may impact how your students work with each partner (ex: What is the size of the organization? What issues does the organization address? Is the organization non-profit, governmental, religiously affiliated? Etc.) In lieu of a partner organization you can also consider a general community need for students to address. List some general descriptors of the project involved in addressing this community need.

4. Look for potential matches between organizations on your list from question 3 and your responses to questions 1 and 2. If there are multiple potential matches then consider the pros/cons of each and list them. Be sure to recognize how your matching affects the organization of the project (large scale as a class v. small scale as groups), which in turn may affect your response to question 5 below.

5. Once you have begun narrowing potential community partners that offer opportunities for students to interact with course content, consider how will you assess students? What will be the final product? What expectations will you have for students throughout the project and how will you communicate that to the students?

6. How will students be organized to meet the objectives that they will be assessed on? Will students work as individuals, teams, as a whole class?

7. How will students be equipped to complete the project successfully? What will they have gained from the course up to the point of assigning the project that will aid them? What additional tools/skills/knowledge will students need as the project proceeds?

8. What will be the timeframe for the project? How will students be held accountable to the timeframe? At what points will students receive feedback on their progress?

9. Why should students care about the project? What will you do as an instructor to get student buy-in on the project?

10. How will students reflect throughout the project? What opportunities will you provide for students to pause and consider the work they have done?

HANDOUTS:

From my AP Statistics Project 2018:

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(Clicking the image above will take you to the students’ final presentation)

From my AP Statistics Project 2016-17:

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From my 2015-16 AP Statistics Project (Organized as an entire class project over the full year):

From my 2014-15 AP Statistics Project (Organized as small group projects in the spring semester):

*NOTE: some documents above were also used in this project, either in the form in which they are posted above or in a slightly modified version

EXTERNAL RESOURCES:

 

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ACMS Preliminary Call for Papers

Visit ACMSonline.org for details

Conference of the Association of Christians in the Mathematical Sciences

Indiana Wesleyan University, May 29-June 1, 2019

 The 22nd Biennial ACMS conference will be held at Indiana Wesleyan University in Marion, Indiana May 29-June 1, 2019. In the coming months, conference details will be posted at the acmsonline.org website.

Call for Papers: At this time we are accepting proposals for talks. Proposals must include the presenter’s name, presentation title, and an abstract of at most 250 words. Please provide your abstract in Word or TeX/LaTeX. Most presentation timeslots will be 15 minutes plus a 5 minute transition time between speakers. Some timeslots of 25 minutes with a 5 minute transition will be available; please indicate if you would like to be considered for one of these longer presentations. Applications will be processed on a rolling basis in order to help those applying for funding at their institution; we will attempt to notify you within 2 weeks of submission whether your proposal has been selected for the conference (except for a longer pause during July 2018).

We are looking for presentations in the following general categories. Research talks should be targeted to an audience primarily of non-specialists.

  • Computer Science / Computer Science Education
  • Mathematics / Mathematics Education
  • Statistics / Statistics Education
  • Interaction of Faith and Discipline

There will be dedicated tracks in Computer Science as well as in Statistics/Data Science.

Proposals should be sent to melvin.royer(at)indwes.edu by February 15, 2019 with ACMS proposal in the subject line. Proposals received after February 15 will be considered if space remains.

Refereed Proceedings: Please note that the 2019 ACMS Proceedings will be refereed. To allow authors time to incorporate audience feedback into their paper, all submissions to the Proceedings will be due September 15, 2019. Submissions for the Proceedings should be in TeX or LaTeX; more details will be provided at a later date.

Topic Discussions: We are also accepting topics suggestions and volunteer leaders for several group discussions on subjects of common interest. These can also be sent to melvin.royer(at)indwes.edu.

Costs: We are in the process of finalizing the cost of the conference but we estimate the costs to be approximately $140 for faculty and $50 for students for those registering before February 28, 2019. Room and Board (Wednesday dinner – Saturday breakfast) estimates are:

  • Meals, single or shared room with linens and pillow
    • Faculty: $175 per person
    • Students: $90 per person
  • Tuesday night room: $25 per person

Preconference Workshop: There will be two preconference workshops during the day of Wednesday, May 29. The estimated cost is $40 for faculty and $20 for students which includes Wednesday breakfast and lunch. The two workshops are

  • Professional development for graduates students and early career faculty
  • Programming and using R

We hope to start taking online conference registrations in August 2018. If you need to register before that time for funding purposes, please contact Jeremy Case jrcase(at)taylor.edu.