Date：5/10 (WED) 19:00-21:30

 

Place：管院CM 3051教室

 

Speaker：Dr. Kinshuk

 

Title：Owning your profession - ensuring student success through analytics

 

Abstract：

 

Student learning is complex. All phases of student experiences produce data - in the classrooms, in the labs, on the net, within social networks, when with friends and when interacting with loved ones. With access to these big, continuous, and disparate data-sets, learning experiences can be characterized based on quality of the content, personalized assessments, learners' comprehension, topic associations made by learners, learners' feelings/emotive states, learners' insights, learners' assumptions in discussions, effectiveness of peer networks, instructional capacity, learner challenges, learners' confidence, learners' recognition of new skills, and learners' refinement of gained competencies. Such characterizations not only enable the capture of information on where, why, how, and when learning happens, but also empower refinement of instructional measures employed by the institution in a continuous manner. This talk will focus on making learning smart by using adaptivity and personalization approaches to provide individualized instruction.

 

Speaker：

 

Dr. Kinshuk is the Dean of the College of Information at the University of North Texas. Prior to that, he held the NSERC/CNRL/Xerox/McGraw Hill Research Chair for Adaptivity and Personalization in Informatics, funded by the Federal government of Canada, Provincial government of Alberta, and by national and international industries. He was also Full Professor in the School of Computing and Information Systems and Associate Dean of Faculty of Science and Technology, at Athabasca University, Canada. After completing first degree from India, he earned his Masters’ degree from Strathclyde University (Glasgow) and PhD from De Montfort University (Leicester), United Kingdom. His work has been dedicated to advancing research on the innovative paradigms, architectures and implementations of online and distance learning systems for individualized and adaptive learning in increasingly global environments. Areas of his research interests include learning analytics; learning technologies;, mobile, ubiquitous and location aware learning systems; cognitive profiling; and, interactive technologies.