Jung Hee Kim

TitleAssociate Professor

DepartmentComputer Science



OfficeMcNair Hall
Room: 506

1601 East Market Street
Greensboro, NC 27411

Jung Hee Kim


Ph D: Computer Science, Illinois Institute of Technology, 2000

MS: Computer Science, Illinois Institute of Technology, 1996

Other: Korea University, 1984

Research Interests

The research interests include Text Mining, Artificial Intelligence, Intelligent Tutoring Systems, and Computer Supported Collaborative Learning (CSCL). Dr. Kim has established an intelligent system lab in the department of computer science at NC A&T. Her collaborators include professors at NC State, Valparaiso University, UNC Greensboro, Indiana University-Purdue University Fort-Wayne, and Northern Illinois University. Dr. Kim is PI on NSF award: Improving Student Computer Programming Understanding and Engagement through Computer Monitored Problem-Solving (COMPS) Discussions.

Recent Publications

Glass,  Michael  Jagvaral,  Yesukhei   Desjarlais,  Melissa  Bryant,  Kelvin  Kim,  Jung Hee  ( 2018).  Problem-Independent Text Analytics for Real-Time Judgment of CSCL Typed-Chat Dialogues.  In John Meinke  ( 1,  34,  pp. p145-p154).   The Journal of Computing Sciences in Colleges.

Willis,  Angelica  Evens,  Ashana  Kim,  Jung Hee  Bryant,  Kelvin  Jagvaral,  Yesukhei  Glass,  Michael  ( 2017).  Identifying Domain Reasoning to Support Computer Monitoring in Typed-Chat Problem Solving Dialogues.  In John Meinke  ( no. 2,  vol. 33 ,  pp. 11-19).   Journal of Computing Sciences in Colleges.

Kim,  Jung Hee  Kim,  Tae-Hee  Glass,  Michael  ( 2016).  Early Experiences with Computer Supported Collaborative Dialogue for a 2nd Semester Java Class.  ( 2,  32,  pp. 8).   The Journal of Computing Sciences in Colleges.

Glass,  Michael  Kim,  Jung Hee  Bryant,  Kelvin  Desjarlais,  Melissa  ( 2015).  COME LET US TALK TOGETHER: SIMULTANEOUS CHAT IN COMPUTER-SUPPORTED COLLABORATIVE DIALOGUE .  In John Meinke  ( 2,  31,  pp. p.96 - p.105).   The Journal of Computing Sciences in Colleges.

Munya,  Paul  Ntuen,  Celestine  Park,  Eui   Kim,  Jung Hee  ( 2015).  A Bayesian Abduction Model for Extracting the Most Probable Evidence to Support Sensemaking.  In Dr. David B. Bracewell (general Electric)  ( 1,  6,  pp. 1-19).   International Journal of Artificial Intelligence & Applications .

Simpkins,  Lindsay  Yuan,  Xiaohong  Kim,  Jung Hee  ( 2014).  A Course Module on Click Jacking.  Information Security Education Journal  ( 2,  1,  ).   Society for Information Organization, Harrow. HA # 8NN, UK.

Kim,  Jung  Canedo-Rodriguez,  Adrian  Kim,  Jung  Kelly,  John  ( 2014).  Simple and Efficient Text Localization for Compressed Image in Mobile Phone.  ( 4,  5,  pp. 208-228).   Journal of Signal and Information Processing (JSIP).

Canedo-Rodriguez,  A.  Kim,  Jung  Kim,  Soohyung  Kelly,  John  Kim,  Jung Hee  Yi,  Sun  Veeramachaneni,  Sai  Blanco-Fernandez,  Y.  ( 2012).  Efficient Text Extraction Using Color Clustering for Language Translation in Mobile Phone.  ( 3,  pp. 228-237).   Journal of Signal and Information Processing.