McGraw Hill Education, Senior Learning and Data Scientist
McGraw Hill Education, VP Analytics and R&D
Georgia State University, Manager for Learning Analytics
Evidence from learning science research indicates that non-cognitive factors, which includes confidence, motivation, mindset, and grit, play a critical role in student achievement. In designing effective learning environments, we have to take into account both cognitive and non-cognitive factors and their impact on outcomes. In this presentation we present research evidence on procrastination, which plagues a large number of students. Then we discuss specific intervention strategies to mitigate the risk.
Lalitha is a Senior Data Scientist at McGraw-Hill Education. Lalitha Agnihotri holds a Ph.D. from Columbia University in Computer Science and has over 15 years of experience in the Data Mining/Modeling area. She has authored over 40 peer reviewed conference and journal papers and has presented at several international Â conferences. She has applied a wide variety of learning algorithms to huge amounts of data to enable applications related to prediction of outcomes.
Alfred is VP of Research and Data Science at McGraw-Hill Education (MHE). He leads learning science research and data science at MHE with the goal of generating of next-generation products and solutions in education. He has held leadership roles in academia and industry, including serving as Dir. of Innovation and Analytics Strategy at Desire2Learn and CIO at MIT’s Sloan School of Management. At MIT he was the recipient of an MIT Excellence Award for innovative solutions.
Chad Marchong is the Manager for Learning Analytics with the Center for Excellence for Teaching and Learning (CETL) at Georgia State University. He has worked in higher education for ten years. He is currently establishing GSU’s Learning Analytics initiatives that are aligned with the Student Success goals of the university. He was previously the Manager for Learning Technology Solutions at CETL where he managed GSU’s digital learning environment. He was responsible for the university’s learning management system and the evaluation, maintenance, and implementation of digital teaching tools.