Stetson University
Model AI Assignments 2018
Neller, Todd W. (Gettysburg College) | Butler, Zack (Rochester Institute of Technology) | Derbinsky, Nate (Northeastern University) | Furey, Heidi (Manhattan College) | Martin, Fred (University of Massachusetts Lowell) | Guerzhoy, Michael (University of Toronto) | Anders, Ariel (Massachusetts Institute of Technology) | Eckroth, Joshua (Stetson University)
The Model AI Assignments session seeks to gather and disseminate the best assignment designs of the Artificial Intelligence (AI) Education community. Recognizing that assignments form the core of student learning ex- perience, we here present abstracts of seven AI assign- ments from the 2018 session that are easily adoptable, playfully engaging, and flexible for a variety of instruc- tor needs.
Building AI Applications: Yesterday, Today, and Tomorrow
Smith, Reid G. (i2kconnect) | Eckroth, Joshua (Stetson University)
AI applications have been deployed and used for industrial, government, and consumer purposes for many years. Over the years, the breadth of applications has expanded many times over and AI systems have become more commonplace. Indeed, AI has recently become a focal point in the industrial and consumer consciousness. This article focuses on changes in the world of computing over the last three decades that made building AI applications more feasible.
Building AI Applications: Yesterday, Today, and Tomorrow
Smith, Reid G. (i2kconnect) | Eckroth, Joshua (Stetson University)
AI applications have been deployed and used for industrial, government, and consumer purposes for many years. The experiences have been documented in IAAI conference proceedings since 1989. Over the years, the breadth of applications has expanded many times over and AI systems have become more commonplace. Indeed, AI has recently become a focal point in the industrial and consumer consciousness. This article focuses on changes in the world of computing over the last three decades that made building AI applications more feasible. We then examine lessons learned during this time and distill these lessons into succinct advice for future application builders.
Model AI Assignments 2017
Neller, Todd W. (Gettysburg College) | Eckroth, Joshua (Stetson University) | Reddy, Sravana (Wellesley College) | Ziegler, Joshua (Air Force Institute of Technology) | Bindewald, Jason (Air Force Institute of Technology) | Peterson, Gilbert (Air Force Institute of Technology) | Way, Thomas (Villanova University) | Matuszek, Paula (Villanova University) | Cassel, Lillian (Villanova University) | Papalaskari, Mary-Angela (Villanova University) | Weiss, Carol (Villanova University) | Anders, Ariel (Massachusetts Institute of Technology) | Karaman, Sertac (Massachusetts Institute of Technology)
The Model AI Assignments session seeks to gather and disseminate the best assignment designs of the Artificial Intelligence (AI) Education community. Recognizing that assignments form the core of student learning experience, we here present abstracts of six AI assignments from the 2017 session that are easily adoptable, playfully engaging, and flexible for a variety of instructor needs.