Miaomiao Wen, Data Scientist, Coursera
Dr. Wen has over six years of research experience working in Educational Data Mining where she has employed Machine Learning, NLP, and Data Mining techniques to understand social learning, learner engagement. Her work at Coursera has been focused on improving the core learning experience, spanning from peer grading to personalized learning in MOOCs. Prior to Coursera she earned her PhD in Computer Science from Carnegie Mellon University where her research focused on team-based learning in Massive Open Online Courses (MOOCs).
Melissa Patchan, Assistant Professor, Learning Sciences and Human Development, West Virginia University
Melissa Patchan completed her Ph.D. in Cognitive Psychology at the University of Pittsburgh and proceeded to train with faculty from a variety of disciplines including Applied Economics, Communication and Science Disorders, and Educational Psychology. She applies this interdisciplinary approach to her research, in which she explains how students help their peers to learn via peer feedback. She pursues this agenda by describing the nature of peer feedback (e.g., how peer feedback differs from instructor feedback), explaining how peer feedback improves learning, and identifying under what circumstances peer feedback is most effective.
Chinmay Kulkarni, Assistant Professor, Human-Computer Interaction, Carnegie Mellon University
Chinmay’s research group, designs computational systems to help people work and learn better, together. His research explores a future where a dramatically larger number of people engage in lifelong learning, and where learning and work are increasingly intertwined. He is particularly interested in technological systems for teaching skills that cannot be easily automated: skills that require judgment, have few predictable tasks, and those that require social interaction. His research over the past five years has demonstrated that software systems and associated pedagogy that leverages peer processes at massive scale can address this societal challenge. Over 100,000 learners in MOOCs, thousands of students in university classrooms, and freelancers on platforms like Upwork have benefited directly through systems his team has designed for peer assessment, discussion, hiring, and critique.