AMOD: a morpholino oligonucleotide selection tool. - Eric W. Klee; Kyong Jin Shim; Michael A. Pickart; Stephen C. Ekker; Lynda B. M. Ellis (Nucleic Acids Res., 2005)

Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs). - Kyong Jin Shim; Muhammad Aurangzeb Ahmad; Nishith Pathak; Jaideep Srivastava (CSE (4), 2009)

Behavioral profiles of character types in EverQuest II. - Kyong Jin Shim; Jaideep Srivastava (CIG, 2010)

Evaluation of Protein Backbone Alphabets: Using Predicted Local Structure for Fold Recognition. - Kyong Jin Shim (ICDM Workshops, 2010)

Sequence Alignment Based Analysis of Player Behavior in Massively Multiplayer Online Role-Playing Games (MMORPGs). - Kyong Jin Shim; Jaideep Srivastava (ICDM Workshops, 2010)

Player Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs). - Kyong Jin Shim; Richa Sharan; Jaideep Srivastava (PAKDD (2), 2010)

Team Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs). - Kyong Jin Shim; Jaideep Srivastava (SocialCom/PASSAT, 2010)

Modeling Player Performance in Massively Multiplayer Online Role-Playing Games: The Effects of Diversity in Mentoring Network. - Kyong Jin Shim; Kuo-Wei Hsu; Jaideep Srivastava (ASONAM, 2011)

Effects of Mentoring on Player Performance in Massively Multiplayer Online Role-Playing Games (MMORPGs). - Kyong Jin Shim; Kuo-Wei Hsu; Jaideep Srivastava (ASONAM, 2011)

TeamSkill: Modeling Team Chemistry in Online Multi-player Games. - Colin DeLong; Nishith Pathak; Kendrick Erickson; Eric Perrino; Kyong Jin Shim; Jaideep Srivastava (PAKDD (2), 2011)

An Exploratory Study of Player and Team Performance in Multiplayer First-Person-Shooter Games. - Kyong Jin Shim; Kuo-Wei Hsu; Samarth Damania; Colin DeLong; Jaideep Srivastava (SocialCom/PASSAT, 2011)

An Exploratory Study of Player Performance, Motivation, and Enjoyment in Massively Multiplayer Online Role-Playing Games. - Kyong Jin Shim; Kuo-Wei Hsu; Jaideep Srivastava (SocialCom/PASSAT, 2011)

Analysis of star ratings in consumer reviews: A case study of Yelp. - Maruthi Prithivirajan; Vivian Lai; Kyong Jin Shim; Koo Ping Shung (IEEE BigData, 2015)

CareerMapper: An automated resume evaluation tool. - Vivian Lai; Kyong Jin Shim; Richard Jayadi Oentaryo; Philips Kokoh Prasetyo; Casey Vu; Ee-Peng Lim; David Lo 001 (IEEE BigData, 2016)

Analysis of teamwork dialogue: A data mining approach. - Antonette Shibani; Elizabeth Koh 001; Vivian Lai; Kyong Jin Shim (IEEE BigData, 2016)

Assessing the Language of Chat for Teamwork Dialogue. - Antonette Shibani; Elizabeth Koh 001; Vivian Lai; Kyong Jin Shim (J. Educ. Technol. Soc., 2017)

Data Mining Approach to the Identification of At-Risk Students. - Li Chin Ho; Kyong Jin Shim (IEEE BigData, 2018)

Data Mining Approach to the Detection of Suicide in Social Media: A Case Study of Singapore. - Jane H. K. Seah; Kyong Jin Shim (IEEE BigData, 2018)

A Cloud-Based Data Gathering and Processing System for Intelligent Demand Forecasting. - Colin K. L. Tay; Kyong Jin Shim (IEEE BigData, 2018)

Happy Toilet: A Social Analytics Approach to the Study of Public Toilet Cleanliness. - Eugene W. J. Choy; Winston M. K. Ho; Xiaohang Li; Ragini Verma; Li J. Sim; Kyong Jin Shim (IEEE BigData, 2019)

Listen, Nudge, Empower: A Mobile Gratitude Journal Application. - Eugene W. J. Choy; Gladys H. L. Ng; Martius J. H. Lim; Kyong Jin Shim (IEEE BigData, 2019)

How Does Fake News Spread: Raising Awareness & Educating the Public with a Simulation Tool. - Cheng L. Lee; Joel-David J. J. Wong; Zi Y. Lim; Belinda S. T. Tho; Sean S. W. Kwek; Kyong Jin Shim (IEEE BigData, 2019)

An IoT-Driven Smart Cafe Solution for Human Traffic Management. - Maruthi Prithivirajan; Kyong Jin Shim (IEEE BigData, 2019)

Tracking Political Events in Social Media: A Case Study of Hong Kong Protests. - Haodi Qi; Hanyu Jiang; Wende Bu; Chengzi Zhang; Kyong Jin Shim (IEEE BigData, 2019)

Plugin to a Healthier Life: A Web Browser Plugin for Mental Health Monitoring. - Jane H. K. Seah; Kyong Jin Shim (IEEE BigData, 2019)

Social Media Analytics: A Case Study of Singapore General Election 2020. - Sebastian Zhi Tao Khoo; Leong Hock Ho; Ee Hong Lee; Danston Kheng Boon Goh; Zehao Zhang; Swee Hong Ng; Haodi Qi; Kyong Jin Shim (IEEE BigData, 2020)

A Social Network Analysis of Jobs and Skills. - Derrick Ming Yang Lee; Dion Wei Xuan Ang; Grace Mei Ching Pua; Lee Ning Ng; Sharon Purbowo; Eugene Wen Jia Choy; Kyong Jin Shim (IEEE BigData, 2020)

Digital Social Listening on Conversations About Sexual Harassment. - Xuesi Sim; Ern Rae Chang; Yu Xiang Ong; Jie Ying Yeo; Christine Bai Shuang Yan; Eugene Wen Jia Choy; Kyong Jin Shim (IEEE BigData, 2020)

Mining Informal and Short Weekly Student Self-Reflections for Improving Student Learning Experience. - Swapna Gottipati; Rafael J. Barros; Kyong Jin Shim (AMCIS, 2021)

Information Systems Business Analytics Curriculum - Competencies from National Infocomm Skills Model and Job Listings. - Swapna Gottipati; Venky Shankararaman; Kyong Jin Shim; Chan Yuen Yip (AMCIS, 2021)

Analyzing Tweets on New Norm: Work from Home during COVID-19 Outbreak. - Swapna Gottipati; Kyong Jin Shim; Hui Hian Teo; Karthik Nityan; Shreyansh Shivam (CCWC, 2021)

Glassdoor Job Description Analytics - Analyzing Data Science Professional Roles and Skills. - Swapna Gottipati; Kyong Jin Shim; Sarthak Sahoo (EDUCON, 2021)

Integration of Professional Certifications with Information Systems Business Analytics Track Curriculum. - Kyong Jin Shim; Swapna Gottipati; Yi Meng Lau (EDUCON, 2021)

Design and Supervision Model of Group Projects for Active Learning. - Yi Meng Lau; Kyong Jin Shim; Swapna Gottipati (FIE, 2021)

Integration of Information Technology Certifications into Undergraduate Computing Curriculum. - Eng Lieh Ouh; Kyong Jin Shim (FIE, 2021)

Integrated Discourse Analysis & Learning Skills Framework for Class Conversations. - Devyn Wei Hung Tan; Swapna Gottipati; Kyong Jin Shim; Venky Shankararaman (FIE, 2021)

Profiling Student Learning from Q&A Interactions in Online Discussion Forums. - Ong De Lin; Kyong Jin Shim; Swapna Gottipati (ICCE, 2021)

Flip & Slack - Active Flipped Classroom Learning with Collaborative Slack Interactions. - Kyong Jin Shim; Swapna Gottipati; Yi Meng Lau (ICCE, 2021)

Integrated Framework for Developing Instructional Videos for Foundational Computing Courses. - Kyong Jin Shim; Swapna Gottipati; Yi Meng Lau (PACIS, 2021)

Coders Assembly - Peer Assisted Learning Model for Freshman Programming Courses. - Kyong Jin Shim; Swapna Gottipati; Venky Shankararaman (EDUCON, 2022)

Mind the Gap: Reimagining an Interactive Programming Course for the Synchronous Hybrid Classroom. - Christopher M. Poskitt; Kyong Jin Shim; Yi Meng Lau; Hong Seng Ong (HICSS, 2022)

Do Sequels Outperform or Disappoint? Insights from an Analysis of Amazon Echo Consumer Reviews. - Kyong Jin Shim; Siaw Ling Lo; Su Yee Liew (HICSS, 2022)

Investigating Bloom's Cognitive Skills in Foundation and Advanced Programming Courses from Students' Discussions. - Joel J. W. Lim; Swapna Gottipati; Kyong Jin Shim (ICCE, 2022)

XSS for the Masses: Integrating Security in a Web Programming Course using a Security Scanner. - Lwin Khin Shar; Christopher M. Poskitt; Kyong Jin Shim; Li Ying Leonard Wong (ITiCSE (1), 2022)

Gamified Online Industry Learning Platform for Teaching of Foundational Computing Skills. - Yi Meng Lau; Rafael J. Barros; Swapna Gottipati; Kyong Jin Shim (TALE, 2022)

VR Computing Lab: An Immersive Classroom for Computing Learning. - Shawn Pang; Kyong Jin Shim; Yi Meng Lau; Swapna Gottipati (TALE, 2022)

AI for Connectivism Learning - Undergraduate Students' Experiences of ChatGPT in Advanced Programming Courses. - Swapna Gottipati; Kyong Jin Shim; Venky Shankararaman (AMCIS, 2023)

Learning Web Programming: Identifying Complex Topics from Student Discussion Forums and Lecture Slides. - Swapna Gottipati; Kyong Jin Shim; Richie Tan; Zi Rong Tan (EDUCON, 2023)

Exploring Students' Adoption of ChatGPT as a Mentor for Undergraduate Computing Projects: PLS-SEM Analysis. - Swapna Gottipati; Kyong Jin Shim; Venky Shankararaman (ICCE, 2023)

ChatGPT, Can You Generate Solutions for my Coding Exercises? An Evaluation on its Effectiveness in an undergraduate Java Programming Course. - Eng Lieh Ouh; Benjamin Kok Siew Gan; Kyong Jin Shim; Swavek Wlodkowski (ITiCSE (1), 2023)

Peer Learning in an Undergraduate Linear Algebra Course - A Social Network Analysis. - Manoj Thulasidas; Kyong Jin Shim; Jonathan Teo (TALE, 2023)

Assessing the effectiveness of a chatbot workshop as experiential teaching and learning tool to engage undergraduate students. - Kyong Jin Shim; Thomas Menkhoff; Ying Qian Lydia Teo; Clement Shi Qi Ong (Educ. Inf. Technol., 2023)