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Download full textAusin, Markel Sanz; Azizsoltani, Hamoon; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Deep Reinforcement Learning (DRL) has been shown to be a very powerful technique in recent years on a wide range of applications. Much of the prior DRL work took the "online" learning approach. However, given the challenges of building accurate simulations for modeling student learning, we investigated applying DRL to induce a…
Descriptors: Reinforcement, Intelligent Tutoring Systems, Teaching Methods, Instructional Effectiveness
Direct linkOliver, Kevin; Osborne, Jason; Patel, Ruchi; Kleiman, Glenn – Quarterly Review of Distance Education, 2009
The North Carolina Virtual Public School completed its first session during the summer of 2007. Evaluation results revealed differences between accelerated and credit recovery students, including a significantly higher likelihood for accelerated students to rate their courses as high quality, to express interest in taking another online course,…
Descriptors: Electronic Learning, Public Schools, Online Courses, Educational Technology
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
