Danielle S. McNamara
Learning Sciences Institute
Arizona State University
Dr. Danielle S. McNamara recently joined Arizona State University as a Professor in the Psychology Department and Senior Scientist in the newly founded Learning Sciences Institute. Her academic background includes a Linguistics B.A. (1982), a Clinical Psychology M.S. (1989), and a Ph.D. in Cognitive Psychology (1992; UC-Boulder). Her research involves the development and assessment of game-based intelligent tutoring systems, natural language processing, and the use of interactive dialog in automated tutoring systems. She and her team of researchers have developed a number of educational technologies (e.g., iSTART-ME, Coh-Metrix, and the Writing-Pal) with a particular focus on providing students with training and practice to use strategies to improve comprehension and writing. Their research examines how the benefits of these automated tutoring systems depend on individual differences and can be optimized for individual learners. One particular focus of their work is on developing methods to improve success for struggling high school students. She has served on numerous funding panels, governing boards, editorial boards, and as Associate Editor for three journals. She has directed numerous projects and has published over 200 papers (see soletlab.com).
Professor of Business Information Systems
Otto-von-Guericke University Magdeburg, Germany
Dr. Spiliopoulou's group "Knowledge Management & Discovery" (KMD) works on data mining, stream mining and web mining for dynamic environments, and develops methods for model adaptation and model monitoring under drift. Her research on topic monitoring, social network monitoring and analysis of complex dynamic data has been published in renowned international conferences and journals. In 2011 she has presented a tutorial on "Mining Complex Dynamic Data" at the ECML PKDD 2011, and has served as Workshops Chair for the IEEE Data Mining Conference (ICDM'11, Vancouver, Canada), and as PC Area Chair for the ECML/PKDD 2011 (Athens, Greece). In 2012 she is serving as Senior Reviewer for the SIAM Data Mining Conference (SDM'12), the ECML PKDD 2012 and the ASONAM 2012, and she is PC Co-Chair of the German Classification Society Conference (GfKl'12, Hildesheim, Germany). Her work on "Evolution in Social Networks: A Survey" in the book "Social Network Data Analytics" (ed. Charu Aggarwal) has appeared recently at Springer Verlag.
Senior Research Scientist
Assessment and Information
Bob Dolan is a Senior Research Scientist in Assessment and Information at Pearson. His work focuses on technology-based adaptive learning and assessment solutions with emphases on cognition, accessibility, and usability. Prior to joining Pearson in 2007, Bob was a Senior Research Scientist at CAST, where his research focused on designing, implementing, and evaluating advanced technology-based learning environments that support diverse learners. Bob has served as principal investigator on research projects funded by the National Institutes of Health, the National Science Foundation, the U.S. Department of Education, and private foundations. Over the past 30 years, Bob has pursued parallel tracks in research and development in systems and cognitive neuroscience, and the development and engineering of technology-based tools for educational, scientific, and medical research. He received a B.S. in Biology at Cornell in 1986 and a Ph.D. in Brain and Cognitive Sciences at MIT in 1992.