Design and Results of the Largest DoE Algebra Effectiveness Research
Discuss the research of a recently-completed randomized field trial of a blended Algebra curriculum.
Explore the results of the research that show students using the Algebra I Blended Curriculum saw improvement of 8 percentile points.
Examine the model and gain an understanding of the value of this approach as applied to education and the sustained focus required to impact student performance.Watch Webinar
Steven Ritter, Founder and Chief Scientist at Carnegie Learning, has been developing and evaluating educational systems for over 20 years. He earned his Ph.D. in Cognitive Psychology at Carnegie Mellon University and was instrumental in the development and evaluation of Cognitive Tutors for mathematics. Through leadership of the research department, Dr. Ritter has led many improvements to the use of adaptive learning systems and math education in real-world settings. He is the author of numerous papers on the design, architecture and evaluation of Intelligent Tutoring Systems. He is lead author of an evaluation judged by the US Department of Education’s What Works Clearinghouse as fully meeting their standards and is lead author of a "Best Paper" at the International Conference on Educational Data Mining.
John F. Pane is a senior scientist at the RAND Corporation, and co-director of the Carnegie Mellon and RAND Traineeships in Methodology and Interdisciplinary Research (CMART), an IES postdoctoral training program. He researches the implementation and effectiveness of educational innovations, with a focus on math, science, and education technology initiatives. His expertise includes the application of experimental and rigorous quasi-experimental methods in education settings and assessing the impact of new technologies. Pane has been principal investigator of several experiments using individual-level or school-level random assignment, including a large-scale effectiveness trial in 147 schools in 51 school districts in seven states. He also leads an evaluation of innovative new schools adopting blended-learning models, and an evaluation of a technology-based initiative to improve college and career readiness in rural Kentucky; and he co-leads an experiment examining the effects of summer learning programs. He has also led evaluations of a NSF math and science partnership and a school district's one-to-one laptop initiative, and investigated data-driven decisionmaking practices in education and the effects of the 2005 hurricanes on public school students in Louisiana. Sponsors of Pane's research have included the U.S. Department of Education, the U.S. National Science Foundation, the Bill & Melinda Gates Foundation, the Wallace Foundation, the U.S. Army, the Heinz Endowments, and the Grable, Pittsburgh, and Benedum Foundations. He received his Ph.D. in computer science from Carnegie Mellon University.
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