Presentations and Resources can be downloaded by clicking on links for the presenter(s).

1:30 PM Wednesday, Are you using all of the Power of PowerPoint?
Abstract: This session will give an overview of newer capabilities that provide more power to PowerPoint. Microsoft has brought out new capabilities in the 365 version of PowerPoint. Designer, Morph and Zoom are three of these Microsoft enhancements that use cloud-based 365 to make PowerPoint more powerful. Designer helps non-designers create visual slides that look very professional. Morph adds power to PowerPoint by providing animations and transitions that were not previously available in PowerPoint. Zoom allows a presenter to move beyond a purely linear presentation and be able to adjust to the flow of the interaction with the audience and zoom to the portion of the presentation that seems most appropriate at the moment. Office Mix is another relatively new feature. This free download is useful to educators in that it creates interactive online lessons. All the new features help users create more up to date presentations with increased interactivity
Session chair: Wilma Andrews, Virginia Commonwealth University
Presenters:
Wilma Andrews and Bob Andrews, Virginia Commonwealth University Word document with New PowerPoint Resource List

8:45 AM Thursday, Lessons Learned and Data Resources for Quantitative Analysis and Statistics Instruction
Abstract: Presenters share the knowledge they have learned from quantitative analysis and statistics classes taught traditionally and online. The session will address suggestions for engaging students and encouraging learning as well as presenting a list of publically available free databases suitable for instruction in statistics and analytics classes. Attendees will be encouraged to participate in the discussions and express their interest in using, contributing to and helping maintain a list of publically available databases.
Session chair: Bob Andrews, Virginia Commonwealth University
Presenters:
William J. Miller & Christopher M. Lowery , Georgia College; Presentation; [Excel file with database list]
Ping Wang, James Madison University; Presentation
Binshan Lin, Louisiana State University in Shreveport; Presentation

1:30 PM Thursday, Effective use of Software for Statistics Instruction
Abstract: Presenters will demonstrate the use of their software to help students learn and engage with core concepts in statistics and data analysis ranging from introductory statistics to analytics procedures. MyStatLab software helps to manage and individualize the learning and evaluation process through several capabilities such as auto-graded Excel based exercises. JMP examples will include simulations to demonstrate foundational topics such as the sampling distribution of the mean and outlier influence to how interactivity of a visualization can illuminate the output of unsupervised machine learning algorithms for clustering, and how dynamic and responsive graphics can be used to teach core design principles in effective data visualization.
Session chair: Bob Andrews, Virginia Commonwealth University
Presenters:
Julian Parris, JMP
Patrick Barbera, Pearson

3 PM Thursday, Experiences with and Recommendations for using R for Statistics/Analytics Instruction
Abstract: R was the top software in the 2016 KDnuggets Software Poll that asked practicing professionals what software they used for Analytics, Data Mining, Data Science, and Machine Learning projects in the past 12 months. The presenters in this session will report on their experiences with teaching statistics and analytics procedures using R software. This will include the R integration features in JMP and discuss reasons for using R from inside JMP.
Session chair: Bob Andrews, Virginia Commonwealth University
Presenters:
Jerry "Buddy" Bilbrey, Lander University; Presentation
Tobin Turner, Presbyterian University; Presentation
David Stephan, Two Bridges Instructional Technology; Presentation

4:30 PM Thursday, Perspectives on Statistics Instruction for Analytics and Data Science
Abstract: Should the traditional Business Statistics course be revamped to cover more topics and content related to the emerging analysis disciplines of Business Analytics and Data Science? Presenters will discuss their perspectives on this important question. The American Statistical Association endorsed Curriculum Guidelines for Undergraduate Programs in Data Science will also be considered as part of the discussion in this session.
Session chair: Bob Andrews, Virginia Commonwealth University
Presenters:
Zhixin (Richard) Kang and Lydia Gan, UNC-Pembroke; Presentation
Joan Donohue, University of South Carolina; Presentation
Andy Bristow, Virginia Commonwealth University

8:45 AM Friday, Enhancing the Value of Analysis through Effective Skills and Communication
Abstract: A chain is no stronger than its weakest link. Knowledge of current analysis methods and developing the ability to communicate effectively with others who have a different knowledge base can be weak links in the preparation for statistics and analytics analysis. Panel members relate their experiences to work on improving student knowledge of statistics and analytics methods as well as their communication skills. Effective communication includes learning to ask the proper questions to truly understand the problem being analyzed and finishes with communicating what will be of value to the audience when analysis results are presented.
Session chair: Bob Andrews, Virginia Commonwealth University
Presenters:
Mary Malliaris, Loyola University Chicago; Presentation
Mary Dunaway, University of Virginia; Presentation
Wilma Andrews and Bob Andrews, Virginia Commonwealth University; Word document with Presentation Resources

10:15 AM Friday, Providing Students with Proper Knowledge and Skills for Analytics and Big Data
Abstract: These experienced faculty share their classroom experience relative to foundational tools such as Microsoft PowerPivot, SQL, Tableau and R. They will also address important topics like communicating statistical results with graphs and subtleties that we often move past too quickly but need to be considering in the world of big data.
Session chair: Bob Andrews, Virginia Commonwealth University
Presenters:
Cory Hutchinson, Louisiana State University; Presentation
Kellie Keeling, University of Denver; Presentation
Bob Stine, Wharton School of the University of Pennsylvania; Presentation