Presentations can be downloaded by clicking on links for the presenter(s).
Not all presenters provided electronic copies of their presentations.
Open Discussion of Issues for Statistics Instruction
10:30 AM Saturday, November 19, 2016; Session Chair: Robert Andrews, Virginia Commonwealth University
Abstract: A panel with a diversity of backgrounds and experience will lead a discussion of relevant issues for statistics instruction that will include the importance of writing and communication of results. Members of the audience will be invited to participate and put forth issues that are of interest to them
Wilma Andrews, Virginia Commonwealth University [Effective Communication of Analysis Results]
Mary Malliaris, Loyola University Chicago [Writing Intensive Analytics Class]
Joan Donohue, University of South Carolina [Group Projects in Business Statistics]
Ping Wang, James Madison University [Undergraduate Assessment of Learning]
Teaching Big Data Technologies using Teradata University Network & the Aster Platform
1:00 PM Saturday, November 19, 2016; Session Chair: Robert Andrews, Virginia Commonwealth University
Abstract: Workshop on teaching analytics with an introduction to Teradata University Network followed by a demonstration of Teradata Aster platform. Learn about teaching, research, and learning resources including real world scenario based vignettes from various industries. Also learn about creating special path analytic visualizations.
Ramesh Sharda, Oklahoma State University
Pankush Kalgotra, Oklahoma State University
AACSB Resources -- Building a Business Analytics Program
3:00 PM Saturday, November 19, 2016; Session Chairs: Paul Cronan, University of Arkansas and Michael Goul, Arizona State University
Abstract: Report on AACSB's analytics initiative designed to help schools develop programs by providing a mix of curriculum content, pedagogy, and structure resources for schools contemplating development of or enhancement of Business Analytics. Panelists from the AACSB Analytics Curriculum Advisory Group will share resources and encourage interactive attendee discussion.
Presenters: Paul Cronan, University of Arkansas
Michael Goul, Arizona State University [Session PowerPoint]
Dan LeClair, AACSB [Session PowerPoint]
What Statistical Knowledge Serves as a Foundation for a Business Analytics
4:30 PM Saturday, November 19, 2016; Session Chair: Robert Andrews, Virginia Commonwealth University
Abstract: This session examines the statistical principles and techniques that would prepare students to take a business analytics course. Presenters seek, through discussion with attendees, to formulate the required knowledge as a series of review questions that could help students prepare for such a course
Presenters: David Levine, Baruch College
David Stephan, Two Bridges Instructional Technology
Kathy Szabat, La Salle University [Session PowerPoint]
Laying the Right Foundation for Analytics by Properly Framing the Business Problem and Getting Usable Data
8:30 AM Sunday, November 20, 2016; Session Chair: Robert Andrews (Virginia Commonwealth University)
Abstract: Analytics training requires more than analytics software knowledge. Panelists discuss teaching students to translate the business question into a proper analytical framing that will provide answers relevant to the question, and then to obtain the proper data and put it into the appropriate format for the chosen analytical software.
Presenters: Satish Nargundkar, Georgia State University [Framing the Analytics Problem]
David Stephan, Two Bridges Instructional Technology & Kathy Szabat, La Salle University [Data Component in a Business Analytics Course]
Engaging Students and Making Statistics Meaningful for Business Majors
1:00 PM Sunday, November 20, 2016; Session Chair: Robert Andrews, Virginia Commonwealth University
Abstract: Session addresses the challenges of motivating statistical learning for students who tend not to be mathematically inclined or don't understand business. Panelists will discuss potential advantages of moving to an analytics oriented class for seniors and also look at approaches for improving a traditional foundation class.
Bob Stine, Wharton School of The University of Pennsylvania [Engaging Students in the Time of Business Analytics]
Mark Berenson, Montclair State University [Statistics Courses Dedicated to the Functional Area Disciplines]
Laura C. Amo, University at Buffalo [Engaging Students in (Very) Large Classes]
David Stevens, University of Louisiana at LaFayette [Improving Student EngagementThrough Audience Response Systems]
Demonstrations of Analysis of Real Data using Minitab, JMP & SPSS
3:00 PM Sunday, November 20, 2016; Session Chair: Robert Andrews, Virginia Commonwealth University
Abstract: This session features applications of Minitab, JMP and SPSS software for analyzing real data as good teaching examples for instruction in working with data along with statistics and analytics analysis tools. Presentations will feature the capabilities of each software. Topics include data visualization, clustering, dashboard building and data modeling.
Presenters: Kevin Potcner, Minitab & Cal State Fullerton [Teaching Cluster Analysis through a Marketing Sciences Application]
Mia Stephens, JMP
Shad Griffin, IBM
Experiences with Introducing or Expanding Analytics Offerings
4:30 PM Sunday, November 20, 2016; Session Chair: Robert Andrews, Virginia Commonwealth University
Abstract: Panel members share their experiences with efforts to add or revise curriculum to better prepare students with analytics skills that are in demand by employers. Audience members will be encouraged to participate in this discussion.
Kirk Karwan, Furman University [Analytics II: Elevating the Quantitative and Qualitative Decision Making Skills of Undergraduates]
Kellie Keeling, University of Denver [Experiences with Business Analytics Major/Minor & MS]
George Recck and Bill Rybolt, Babson College [Curriculum Revisions at Babson]
Paolo Catasti, Virginia Commonwealth University [Proposed Analytics Track for B.S. in Business]
Is there a Gap Between Analytics Practice and our Academic Analytics Preparation?
8:30 AM Monday, November 21, 2016; Session Chair: Robert Andrews, Virginia Commonwealth University
Abstract: Analytics is a relatively new area and most of the people teaching analytics classes have never been practicing analytics professionals, which is a formula for creating a gap between preparation and actual practice. Panelists discuss their perceptions of differences and explore ways to bridge perceived gaps.
Mia Stephens, JMP [Analytics Preparation vs. Practice Presentation]
Curt Hinrichs, JMP [Analytics Preparation vs. Practice Presentation]
Bob McQuaid, Pepperdine [Analytics Preparation vs. Practice Presentation]
Kellie Keeling, University of Denver [Analytics Preparation vs. Practice Presentation]
Caucus/Business Meeting of the Data, Analytics and Statistics Instruction, DASI, Specific Interest Group of DSI
1:00 PM Monday, November 21, 2016; Session Chair: Robert Andrews, Virginia Commonwealth University
(16 people attended)
Summary: The names of 127 people were recorded for those attending the 2016 DASI sessions. 53 had attended a session at a previous DSI meeting while 74 were not on the list of the previous attendees.
There was an open discussion of the DASI sessions and about Data, Analytics and Statistics Instruction in general. Bob Andrews and Kellie Keeling agreed to organize sessions for the 2017 DSI meeting that will be in Washington, DC. Several others also voluunteered to participate and help.
2016 Report for the Data, Analytics and Statistics Instruction DSI Specific Interest Group
General information about Data, Analytics and Statistics Instruction, DASI, a Specific Interest Group of DSI and its predecessor, Making Statistics More Effective in Schools of Business