Advances from the Office of Naval Research (ONR) STEM Grand Challenge: Expanding the Boundaries of Intelligent Tutoring Systems
Scotty D. Craig, Arizona State University, USA
Arthur C. Graesser, University of Memphis, USA
Ray S. Perez, Office of Naval Research, USA
The Office of Naval Research (ONR) STEM Grand Challenge was a competition between four top teams working on Intelligent Tutoring Systems to push the boundaries of STEM education using computers. This collection will highlight the high quality systems and research produced under this challenge, and topics include Educational technologies, Intelligent tutoring systems, and Examples of empirical research on ITS systems.
This special issue presents evaluations of four intelligent tutoring systems. These systems were funded under the Office of Naval Research’s STEM Grand Challenge for intelligent tutoring systems. The systems e...
Scotty D. Craig, Arthur C. Graesser and Ray S. Perez
International Journal of STEM Education 2018 5:11
Published on: 12 April 2018
This study investigated learning outcomes and user perceptions from interactions with a hybrid intelligent tutoring system created by combining the AutoTutor conversational tutoring system with the Assessment ...
Benjamin D. Nye, Philip I. Pavlik Jr., Alistair Windsor, Andrew M. Olney, Mustafa Hajeer and Xiangen Hu
International Journal of STEM Education 2018 5:12
Published on: 13 April 2018
Interactive learning environments often provide help strategies to facilitate learning. Hints, for example, help students recall relevant concepts, identify mistakes, and make inferences. However, several studies have shown cases of ineffective help use.
Paul Salvador Inventado, Peter Scupelli, Korinn Ostrow, Neil Heffernan III, Jaclyn Ocumpaugh, Victoria Almeda and Stefan Slater
International Journal of STEM Education 2018 5:13
Published on: 14 April 2018
Contemporary work in the design and development of intelligent training systems employs task analysis (TA) methods for gathering knowledge that is subsequently encoded into task models. These task models form the basis of intelligent interpretation of student performance within education and training systems.
Anna Skinner, David Diller, Rohit Kumar, Jan Cannon-Bowers, Roger Smith, Alyssa Tanaka, Danielle Julian and Ray Perez
International Journal of STEM Education 2018 5:14
Published: 15 April 2018
The Office of Naval Research (ONR) organized a STEM Challenge initiative to explore how intelligent tutoring systems (ITSs) can be developed in a reasonable amount of time to help students learn STEM topics. This competitive initiative sponsored four teams that separately developed systems that covered topics in mathematics, electronics, and dynamical systems.
Arthur C. Graesser, Xiangen Hu, Benjamin D. Nye, Kurt VanLehn, Rohit Kumar, Cristina Heffernan, Neil Heffernan, Beverly Woolf, Andrew M. Olney, Vasile Rus, Frank Andrasik, Philip Pavlik, Zhiqiang Cai, Jon Wetzel, Brent Morgan, Andrew J. Hampton, Anne M. Lippert, Lijia Wang, Qinyu Cheng, Joseph E. Vinson, Craig N. Kelly, Cadarrius McGlown, Charvi A. Majmudar, Bashir Morshed and Whitney Baer
International Journal of STEM Education 2018 5:15
Published: 16 April 2018
This article provides brief comments and reflections on Intelligent Tutoring Systems (ITS) and their use in providing STEM (science, technology, engineering, and mathematics) education and training as described in the four articles prepared for this special issue concerning the ONR (Office of Naval Research) STEM Grand Challenge.
J. D. Fletcher
International Journal of STEM Education 2018 5:16
Published: 17 April 2018