PITTSBURGH--(BUSINESS WIRE)--Carnegie Learning, Inc., a leading provider of innovative research-proven math products and services, announced today that its Co-Founder and Chief Scientist, Steven Ritter, Ph.D., will be featured at a panel discussion at the annual SXSWedu Conference & Festival in Austin, Texas.
The SXSWedu Conference & Festival is an annual four-day event that fosters and celebrates innovations in learning by hosting a diverse and energetic community of stakeholders across a variety of backgrounds in education. The panel discussion, “Replacing Testing with Learning,” will address the challenges of high-stakes testing and offer insights into using adaptive learning systems to satisfy accountability requirements and support instructional and organizational improvement.
Dr. Ritter will be joined by Scott Marion, Executive Director, Center for Assessment; April Galyardt, Machine Learning Research Scientist, Software Engineering Institute; and Neil Heffernan, Professor, Worcester Polytechnic Institute.
As a result of the inadequacy of traditional high-stakes testing, many educational stakeholders have lost confidence in the ability for tests to tell them anything useful about the capabilities of their students, the quality of their schools, or the adequacy of their instructional approaches. In a recent survey (PDK/Gallup, 2015), parents ranked testing last as a measure of school improvement, school effectiveness, and student academic progress. In the same survey, two-thirds of parents of public school students said there is too much standardized testing.
“Adaptive learning gives us a good understanding of what students know and don’t know,” said Ritter. “We see an opportunity to apply this knowledge to state-level accountability systems and change the way we do assessments. Our panel is bringing together scientific, policy and practical experts on how to make this new approach to assessment work.”
The head of Carnegie Learning’s research department, Ritter has developed numerous improvements to the use of adaptive learning systems and mathematics education in real-world settings over the past 20 years. He is the author of numerous papers on the design, architecture and evaluation of adaptive learning and on the use of data to improve educational outcomes. Ritter’s work has been supported by the National Science Foundation, the U.S. Department of Education, and other foundations.
Founded by cognitive and learning scientists from Carnegie Mellon University, Carnegie Learning has been deeply involved in research from the start. Another Co-Founder, Dr. John R. Anderson, recently won the 2016 Atkinson Prize in Psychological and Cognitive Sciences. Anderson was selected for the Prize, which is awarded each year by the National Academy of Sciences, for his “foundational contributions to systematic theory and optimality analysis in cognitive and psychological science and for developing effective, theory-based cognitive tutors for education.”1 His ACT-R Theory on how students learn is the foundation for MATHia®, the powerful artificial intelligence software platform that has helped hundreds of thousands of students learn math.
For more information on Carnegie Learning’s research and adaptive learning technology, visit www.carnegielearning.com.
ABOUT CARNEGIE LEARNING, INC.
Carnegie Learning is a transformational math education company focused on delivering better math learning to all teachers and students. Through research-proven software, textbooks, and professional development and data analysis services, Carnegie Learning is helping students to succeed in math as a gateway to graduation, college, and the 21st century workforce. Carnegie Learning, headquartered in downtown Pittsburgh, is the sole source provider of MATHia® Software for students in grades 6–12 and Mika™ Software for college students in need of developmental math support. Carnegie Learning®, MATHia®, and Mika™ are registered trademarks of Carnegie Learning, Inc. For more information, visit www.carnegielearning.com.