Measuring, analyzing, and reporting data about learners, learning systems and learning programs have all contributed to understanding and optimizing learning experiences.
To better accomplish learning - both personalized and at scale - many of these measurements, and the feedback they provide, are being instrumented and automated. Even with the consideration of integrative competencies such as critical thinking, decision-making and resilience in learning objectives, the algorithms driving many learning analytics are yet based primarily on objective functions that derive mainly from content mastery goals.
Join us on October 23rd for the Algorithms and Analytics: Connecting the Learner and the Learning conference as Stanford experts and members in the mediaX community explore the frontiers of algorithms and analytics that connect learners with learning.
Some of the speakers you'll hear from:
Robert Moore is a research scientist at IBM Research-Almaden, where he examines the intersection of human conversation and technology. He has recently co-authored the book, Conversational UX Design: A Practitioner's Guide to the Natural Conversation Framework. In the past, Dr. Moore has worked as a scientist at Yahoo! Labs and the Xerox Palo Alto Research Center (PARC) and as a game designer at The Multiverse Network. He holds Ph.D., M.S. and B.A. degrees in sociology with concentrations in ethnomethodology, Conversation Analysis and ethnography.
Mark Musen is Professor of Biomedical Informatics at Stanford University, where he is Director of the Stanford Center for Biomedical Informatics Research. Dr. Musen conducts research related to intelligent systems, reusable ontologies, metadata for publication of scientific data sets, and biomedical decision support. His group developed Protégé, the world’s most widely used technology for building and managing terminologies and ontologies.
Martha Russell is Executive Director of mediaX at Stanford University and Senior Research Scholar with the Human Sciences Technology Advanced Research Institute at Stanford. Dr. Russell leads business alliances and interdisciplinary research for mediaX at Stanford University. With people and technology as the intersecting vectors. Russell’s background spans a range of business development, innovation and technology-transfer initiatives in information sciences, agriculture, communications, and microelectronics – for businesses, universities and regional development organizations.
Daniel Schwartz is dean of Stanford Graduate School of Education and an expert in human learning and educational technology. Schwartz oversees a laboratory whose computer-focused developments in science and math instruction permit original research into fundamental questions of learning. He has taught math in rural Kenya, English in south-central Los Angeles, and multiple subjects in Kaltag, Alaska. This diversity of experience informs his work. Among many honors, Schwartz was named Graduate School of Education Teacher of the Year for 2015.
Roy Pea is the David Jacks Professor of Education and the Learning Sciences at Stanford University, Co-Founder and Faculty Director of the H-STAR Institute, Director of the PhD Program in Learning Sciences and Technology Design, and Professor, Computer Science (Courtesy). Since 1981, Dr. Pea has been exploring how information technologies can support and advance the scientific understanding and practices of learning and teaching, with particular focus on topics in science, mathematics, and technology education and their associated symbolic and communicative interchanges that are integral to learning.