Kui Xie

Chairperson and Professor, Department of Counseling, Educational Psychology and Special Education Michigan State University

  • East Lansing MI

Kui Xie's research investigates areas related to motivation and engagement in digital learning.

Contact

Michigan State University

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Biography

Dr. Kui Xie is Red Cedar Distinguished Professor and Chairperson of Department of Counseling, Educational Psychology, and Special Education at Michigan State University. Prior to MSU, he was Ted and Lois Cyphert Distinguished Professor and director of Research Laboratory for Digital Learning at Ohio State University. His research investigates areas related to motivation and engagement in digital learning, K-12 technology integration and teacher professional development, technology intervention and learning environment, learning analytics and research methods. He focuses on building translational research in partnership with K-12 schools. He has published extensively in flagship journals in crossover fields of Educational Technology, Educational Psychology, and others. His work has been highly visible to the general public appearing in The Conversation, U.S. News, NPR Radio, TIME, etc. Xie serves as the associate editor for The Internet and Higher Education and Frontiers in Psychology.

Industry Expertise

Education/Learning

Areas of Expertise

Digital Learning
Educational Technology
Artificial Intelligence
Motivation

Accomplishments

Chang Jiang Scholar Award, Chinese Ministry of Education

2017

Education

University of Oklahoma

Ph.D.

Instructional Psychology and Technology

2006

Affiliations

  • The Internet and Higher Education : Associate Editor
  • Frontiers in Psychology : Associate Editor

News

How ChatGPT Can Help Students Learn, Prevent Cheating

Voice of America  online

2023-07-04

Kui Xie and Eric Anderman are professors of educational psychology and educational technology. In their research, they have found that the main reason students cheat is their desire to do better in school. For example, some students want to get a high grade, and others want to learn all that they can about a subject.

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Event Appearances

"Student Engagement in Online Learning Environments"

icits2022  

Journal Articles

Does the Seat Matter? The Influence of Seating Factors and Motivational Factors on Situational Engagement and Satisfaction in the Smart Classroom

Sustainability

2023

As a technology-enhanced student-centered learning environment, smart classrooms are becoming increasingly popular in higher education. It is undoubtedly important to understand how seating and motivational factors affect situational engagement and satisfaction in smart classrooms. Pre-survey, experience sampling method, and post-survey were used in this study to conduct a longitudinal survey of 113 pre-service teachers in three courses at a university in central China. Descriptive statistics, bivariate correlations, hierarchical linear modeling, and hierarchical linear regression were used to investigate the effects of seating factors and motivational factors on engagement and satisfaction in smart classrooms.

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The Emergence and Escalation of Online Racial Discrimination in Digital Spaces: A Systematic Review

Review of Educational Research

2024

COVID-19 required educators and students to rapidly move to online learning. Simultaneously, while navigating the pandemic in lockdown, citizens were exposed to the brutal murder of George Floyd. The increased exposure to online activity and discrimination generated a hyperawareness of the potential link between the two. Our interest was to examine that linkage as we considered the prevalence and escalation of online racial discrimination (ORD) as a student phenomenon. Filtering for adolescent and young adult students, this systematic review ultimately employed 21 articles. Our results reflect that ORD as defined, changed over time, as did the ways it manifested. Importantly, the impacts of ORD on student learning and well-being were revealed.

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A personal social knowledge network (PSKN) facilitates learners’ wayfinding and its differences in behavior patterns between high and low performers in connectivist learning

International Journal of Educational Technology in Higher Education

2024

Wayfinding, which is a part of learning in connectivist learning, involves consolidating a wide variety of resources and information and building connections among them. However, learners often encounter difficulties in wayfinding, and are lost without technological support in connectivist learning. This study examined the wayfinding processes occurring within a network of learners in a personal social knowledge network (PSKN), explored differences in behavior patterns between high and low performers in PSKN. The results reveal the diversity and complexity of wayfinding in a PSKN, including finding and connecting nodes, forming cognitive maps, finding and filtering information, and creating new nodes.

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