Intro of the Action Lab and Non-Cognitive Assessments for ASU Online Learner
Join us on March 13th for a special seminar when our two speakers will present on Arizona State University’s EdPlus Action Lab, a dedicated digital teaching and learning laboratory.
Intro of the Action Lab
The Action Lab, a dedicated digital teaching and learning laboratory within Arizona State University’s EdPlus, engages in deep learning analytics, providing continuous program improvement ultimately resulting in student success. Drawing from ASU's digital learning leadership position and world class research capacity in cognitive science, adaptive learning and social science, the Action Lab translates data into practical classroom applications to improve student outcomes at scale. Our mission is to make technology-enabled education research useful for systemic, scalable and radical advancement in digital teaching and learning, and our research focus includes the efficacy of online education in traditional degree-granting programs, open scale courses, and adaptive/emerging technology.
Non-Cognitive Assessments for ASU Online Learners
The availability of large-scale online courses enabled assessment of academic performances at scale. Equally important is the opportunity to investigate the state of non-cognitive or soft skills of online learners to inform design of interventions to improve learning outcomes. The present analysis looked learners who successfully passed the course, either passed at their first attempts or passed after failed attempts, and compared how their soft skills differ from the rest of learners. The findings suggested that 1) Learners who successfully passed the course tend to have strong skill sets related to time and project management; 2) Learners who successfully passed the course after failed attempts tend to have higher skill sets related to decision making and leadership.
Presenters: Elle Yuan Wang is a Research Scientist at ASU EdPlus Action Lab. Her current projects center on assessing social and emotional leaning skillsets and predicting learner longitudinal career development in large-scale online learning environments. Specifically, her projects take a comprehensive approach by linking three sources of learner data: pre-course learner motivation, within-course learner engagement, as well as post-course development. Measurement of post-course development reflects both individual learner career development as well as advancement of communities of practice. Her recent publications can be seen in Journal of Online Learning and Teaching and Journal of Learning Analytics. She obtained a Ph.D in Cognitive Sciences from Columbia University and has led various projects funded by the National Science Foundation and the Bill & Melinda Gates Foundation. Previously, she has held fellowship and positions with Mayor Bloomberg’s Office in New York, the Office of the President at Columbia University, Columbia Technology Ventures, and MTV Networks.
Tom Fikes is Director of Research as ASU’s EdPlus Action lab, a dedicated laboratory for the study of digital teaching and learning. Tom received his PhD at UC Santa Barbara and was postdoctoral at Indiana University studying cognitive science, with specializations in psychophysics and mathematical modeling. He was professor of psychology and neuroscience at University of Puget Sound and Westmont College, serving in teaching, research and administrative capacities, for several years before joining the Action Lab in 2016. His academic interests include experimental, statistical, and modeling methods in general and in application to educational data in the digital domain in particular, as well as experimental economic games and the evolution of cooperation.