Advances from the Office of Naval Research STEM Grand Challenge: expanding the boundaries of intelligent tutoring 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 each represent aspects of how ITS can address STEM education or how aspects of multiple systems can be integrated to support STEM education. The selected papers also provide empirical evidence for the effectiveness of each system. The current paper provides an overview of the Office of Naval Research STEM Grand Challenge program, the systems funded under the program, and summaries of the articles within this special issue.

[1]  S. Chipman.  Obtaining Department of Defense Funding for Research in the Behavioral Sciences , 2014 .

[2]  Arthur C. Graesser,et al.  The Effects of a Traditional and Technology-based After-school Setting on 6th Grade Student’s Mathematics Skills , 2012 .

[3]  Robert K. Atkinson,et al.  Searching for the two sigma advantage: Evaluating algebra intelligent tutors , 2013, Comput. Hum. Behav..

[4]  David Eppstein,et al.  Knowledge Spaces, Applications in Education , 2013 .

[5]  Beverly Park Woolf,et al.  Building Intelligent Interactive Tutors: Student-centered Strategies for Revolutionizing E-learning , 2008 .

[6]  J. D. Fletcher.  Comments and reflections on ITS and STEM education and training , 2018, International journal of STEM education.

[7]  Scotty D. Craig,et al.  End-User Considerations in Educational Technology Design , 2017 .

[8]  Neil T. Heffernan,et al.  ElectronixTutor: an intelligent tutoring system with multiple learning resources for electronics , 2018, International Journal of STEM Education.

[9]  Kurt VanLehn,et al.  Learning Science by Constructing Models: Can Dragoon Increase Learning without Increasing the Time Required? , 2015, International Journal of Artificial Intelligence in Education.

[10]  James A. Kulik,et al.  Effectiveness of Intelligent Tutoring Systems , 2016 .

[11]  Stefan Slater,et al.  Contextual factors affecting hint utility , 2018, International journal of STEM education.

[12]  Beverly Park Woolf,et al.  On-line Tutoring for Math Achievement Testing: A Controlled Evaluation , 2007 .

[13]  Rohit Kumar,et al.  First Evaluation of the Physics Instantiation of a Problem-Solving-Based Online Learning Platform , 2015, AIED.

[14]  Kasia Muldner,et al.  A Multimedia Adaptive Tutoring System for Mathematics that Addresses Cognition, Metacognition and Affect , 2014, International Journal of Artificial Intelligence in Education.

[15]  Mustafa H. Hajeer,et al.  SKOPE-IT (Shareable Knowledge Objects as Portable Intelligent Tutors): overlaying natural language tutoring on an adaptive learning system for mathematics , 2018, International journal of STEM education.

[16]  Arthur C. Graesser,et al.  The impact of a technology-based mathematics after-school program using ALEKS on student's knowledge and behaviors , 2013, Comput. Educ..

[17]  Rachelle Winkle-Wagner.  Having Their Lives Narrowed Down? The State of Black Women’s College Success , 2015 .

[18]  Neil T. Heffernan,et al.  The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together for Minimally Invasive Research on Human Learning and Teaching , 2014, International Journal of Artificial Intelligence in Education.

[19]  Rohit Kumar,et al.  Development and application of a multi-modal task analysis to support intelligent tutoring of complex skills , 2018, International Journal of STEM Education.

[20]  Arthur C. Graesser,et al.  Conversations with AutoTutor Help Students Learn , 2016, International Journal of Artificial Intelligence in Education.