University of Virginia

BI Congress 3: Driving Innovation through Big Data Analytics

TEACHING TRACK PANEL DISCUSSION
Diversity of BI Programs - Starting a new analytics program
As companies increasingly embrace analytics to enhance business value, academia is responding with innovative curricula in DSS/BI/Analytics providing a variety of degree programs, minors, certificate programs in online, traditional, and hybrid format. This panel brings together a group of innovative academics leading analytics programs to share their experiences – strategies starting new programs, challenges faced, and best practices. This will be an interactive session during the BI Congress event.

TEACHING TRACK CALL FOR PAPERS

Today’s students expect relevant, innovative, and real-world classroom experiences. However, it is challenging for academics to stay abreast of changes in the analytics field so that they may teach effectively and meet student expectations. This track seeks teaching cases and pedagogical materials to better prepare the future DSS/BI/Analytics workforce. Both vendor-neutral and vendor-specific pedagogical content is welcome.

Selected submissions will be presented within the Teaching Track sessions. All submissions to the track will be considered for a BI Congress Innovation in Pedagogy Award, to be presented at the BI Congress 3. All accepted Teaching Track submissions will be featured on the Teradata University Network, a peer-reviewed outlet. In addition, select high quality submissions (e.g., teaching cases) will be fast-tracked to targeted journals.

All accepted papers will be published in the BI Congress 3 conference proceedings and on the TUN website. Authors will retain copyright ownership.

Teaching Submissions:

Focus of the teaching track is on sharing material and pedagogical experiences in a workshop-like setting. Authors are encouraged to submit material related to DSS/BI/Analytics courses at introductory or advanced level that fits into the following categories:

Pedagogical materials include any kind of content that can be used for teaching DSS/BI/Analytics. They should be accompanied with a short description or teaching note that explains how to apply the materials, in sufficient detail to allow the reader to replicate it in the classroom. Pedagogical materials can include:

  • Syllabus
  • Class assignment or exam
  • Class project
  • An innovative approach to delivering DSS/BI/Analytics content
  • Best practices in delivering DSS/BA/Analytics content
  • Data sets that can be used by other faculty to augment their pedagogy
  • Hands-on software experiences and software tutorials
  • Creative applications of Teradata University Network and other vendor resources

Teaching case studies that can be used to enhance student learning about specific concepts/topics such as illustrating an organizational application and lessons learned. Teaching cases should provide rich stories of individual organizations' management and technological initiatives, illustrating a specific message of interest to DSS/BI/Analytics instructors. These papers will not only tell the story, but also provide analyses of the events and their outcomes. A teaching case should be accompanied by a brief (e.g., one page) teaching note.

Paper Formatting Guidelines:

Please use the ICIS submission guidelines to the best of your ability. Teaching Cases should follow the guidelines for ICIS teaching case submissions; Pedagogical materials can be adapted to meet the needs of the content.

Submission Process:

  1. Prepare Manuscript using ICS paper formatting guidelines (as well as possible).
  2. Email submissions to: Ozgur Turetken and Babita Gupta by September 1, 2012 - EXTENDED TO 9/15/12.
  3. Receive notification via e-mail by October 15, 2012.
  4. If accepted, make any final improvements and submit final paper to Ozgur Turetken and Babita Gupta by November 1, 2012.

Join us at the Pre-ICIS BI Congress 3 in Orlando, FL on December 15 and 16, 2012 as we innovate through big data analytics.
Thank you to our Platinum Sponsors IBM, SAS and Teradata!

Orlando Florida cityscape viewed from the water.