Workshop Speaker

Title: Online Learner Personas in a Big Data Environment

Prof. Jun Xiao
Professor, Shanghai Engineering Research Center for Open Distance Education
Shanghai Open University

 

Prof. Jun Xiao oversees the operation of Shanghai Engineering Research Center of Open Distance Education, Shanghai Open University. His research interests lie in hybrid learning spaces, learning analytics, learner persona, augmented reality, artificial intelligence. He is a Member of China E-learning Technology Standardization Committee, and has undertaken and participated in a dozen of national and provincial level projects. Prof. Xiao has obtained awards for more than 10 scientific research works, and has published over 100 books, articles and reports in the areas of education technology, lifelong learning, and open distance education. He has made substantial contributions to the design of many online and smart learning environments in Shanghai, such as the Shanghai Learning Network, Shanghai Education Resource Center and Mobile MOOC for Teacher Professional Development, and his research findings have effectively informed the design of lifelong learning public service platform for Shanghai citizens. He is now responsible for the construction of the Smart Learning Center of Shanghai Open University, a project which provides an online-merge-online (OMO) smart learning environment for seamless learning.

 

Abstract

 

Learner persona is not only an application of user persona in the field of education, but also a new application of learning analytics. By collecting data about student learning in a big data environment, learners' characteristics are analyzed in multiple dimensions and presented in the form of labels to form learner personas, so as to provide accurate learning support services and improve learning experience. Using open learning analytics, a five stage system framework for an open learner persona is proposed: persona target, data collection, persona modeling, persona output, and persona application and evaluation. Some related application research cases are as follows: 1) providing information for making teaching decisions for online learners by constructing open learners' personas; 2) providing visual analytics of learners' personas for personalized learning early warning, personalized learning recommendations and other intelligent personalized learning services; 3) assessing students’ learning effectiveness in their use of augmented reality courseware through the construction of personas in the AR environment; 4) providing full personas of online-merge-offline (OMO) smart classroom to promote smart teaching and learning; and 5) providing a monitoring tool for the AI ability of lifelong learners.