Best Practices in Teaching and Learning

The Best Practices in Teaching and Learning track focus is on  all facets of teaching and learning Decision Sciences through  face-to-face, flipped, hybrid, and online classes.  It covers quantitative, technology-based, and behavioral research, practice, conceptual ideas, and empirical findings in teaching and learning decision sciences.

  • Game-based learning and teaching.
  • Excel, laptop, and tablets in the classroom and exams.
  • The best pieces that you teach in your operations management course.
  • Making supply chain analytics a better course.
  • Making supply chain management a better course.
  • Business Analytics; market-based jump or incremental student-based reforms.
  • Embedding case studies and real-life applications into the teaching material.
  • Animation/simulation-based lectures and lecture capture for effective learning.
  • Flipped classrooms.
  • Available online resources – Ted, Khan Academy, YouTube repository.
  • Integration of material within and across courses, disciplines, and programs.
  • Collaborative, active, and experimental learning for accelerating the undergraduate time to graduation.
  • Teaching-based research, bringing research to the classroom.
  • Development of online quizzes and exams for traditional and online classes.
  • The Omni-channel of course delivery – conventional, online, hybrid, team-based, MOOCs, and the premium each can offer.
  • Technologies, tools, and procedures to enhance online exam academic honesty.

Important Dates:

  • Full Paper Deadline: June 30th, 2020
  • Abstract Deadline: July 15th, 2020
  • Panel Proposal Deadline: June 30th, 2020
  • Workshop Proposal Deadline: June 30th, 2020
  • Award Competition Deadline: July 15th, 2020

All deadlines are final as of 12 midnight Central Standard Time (Houston)

08/01/2020    Authors Notified of Paper Acceptance Decision

09/01/2020    Full Paper Revisions Resubmission Deadline

09/15/2020    Conference Registration Deadline