Kyong Jin Shim

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 39

Top Topics

Programming Course

Undergraduate Students

Top Venues

Publications

Swapna Gottipati, Kyong Jin Shim, Venky Shankararaman
AI for Connectivism Learning - Undergraduate Students' Experiences of ChatGPT in Advanced Programming Courses. AMCIS (2023)
Eng Lieh Ouh, Benjamin Kok Siew Gan, Kyong Jin Shim, Swavek Wlodkowski
ChatGPT, Can You Generate Solutions for my Coding Exercises? An Evaluation on its Effectiveness in an undergraduate Java Programming Course. CoRR (2023)
Swapna Gottipati, Kyong Jin Shim, Richie Tan, Zi Rong Tan
Learning Web Programming: Identifying Complex Topics from Student Discussion Forums and Lecture Slides. EDUCON (2023)
Kyong Jin Shim, Thomas Menkhoff, Ying Qian Lydia Teo, Clement Shi Qi Ong
Assessing the effectiveness of a chatbot workshop as experiential teaching and learning tool to engage undergraduate students. Educ. Inf. Technol. 28 (12) (2023)
Manoj Thulasidas, Kyong Jin Shim, Jonathan Teo
Peer Learning in an Undergraduate Linear Algebra Course - A Social Network Analysis. TALE (2023)
Eng Lieh Ouh, Benjamin Kok Siew Gan, Kyong Jin Shim, Swavek Wlodkowski
ChatGPT, Can You Generate Solutions for my Coding Exercises? An Evaluation on its Effectiveness in an undergraduate Java Programming Course. ITiCSE (1) (2023)
Kyong Jin Shim, Swapna Gottipati, Venky Shankararaman
Coders Assembly - Peer Assisted Learning Model for Freshman Programming Courses. EDUCON (2022)
Lwin Khin Shar, Christopher M. Poskitt, Kyong Jin Shim, Li Ying Leonard Wong
XSS for the Masses: Integrating Security in a Web Programming Course using a Security Scanner. ITiCSE (1) (2022)
Lwin Khin Shar, Christopher M. Poskitt, Kyong Jin Shim, Li Ying Leonard Wong
XSS for the Masses: Integrating Security in a Web Programming Course using a Security Scanner. CoRR (2022)
Shawn Pang, Kyong Jin Shim, Yi Meng Lau, Swapna Gottipati
VR Computing Lab: An Immersive Classroom for Computing Learning. TALE (2022)
Christopher M. Poskitt, Kyong Jin Shim, Yi Meng Lau, Hong Seng Ong
Mind the Gap: Reimagining an Interactive Programming Course for the Synchronous Hybrid Classroom. HICSS (2022)
Yi Meng Lau, Rafael J. Barros, Swapna Gottipati, Kyong Jin Shim
Gamified Online Industry Learning Platform for Teaching of Foundational Computing Skills. TALE (2022)
Kyong Jin Shim, Siaw Ling Lo, Su Yee Liew
Do Sequels Outperform or Disappoint? Insights from an Analysis of Amazon Echo Consumer Reviews. HICSS (2022)
Christopher M. Poskitt, Kyong Jin Shim, Yi Meng Lau, Hong Seng Ong
Mind the Gap: Reimagining an Interactive Programming Course for the Synchronous Hybrid Classroom. CoRR (2021)
Kyong Jin Shim, Swapna Gottipati, Yi Meng Lau
Integration of Professional Certifications with Information Systems Business Analytics Track Curriculum. EDUCON (2021)
Devyn Wei Hung Tan, Swapna Gottipati, Kyong Jin Shim, Venky Shankararaman
Integrated Discourse Analysis & Learning Skills Framework for Class Conversations. FIE (2021)
Eng Lieh Ouh, Kyong Jin Shim
Integration of Information Technology Certifications into Undergraduate Computing Curriculum. FIE (2021)
Yi Meng Lau, Kyong Jin Shim, Swapna Gottipati
Design and Supervision Model of Group Projects for Active Learning. FIE (2021)
Swapna Gottipati, Rafael Barros, Kyong Jin Shim
Mining Informal and Short Weekly Student Self-Reflections for Improving Student Learning Experience. AMCIS (2021)
Swapna Gottipati, Kyong Jin Shim, Hui Hian Teo, Karthik Nityan, Shreyansh Shivam
Analyzing Tweets on New Norm: Work from Home during COVID-19 Outbreak. CCWC (2021)
Swapna Gottipati, Venky Shankararaman, Kyong Jin Shim, Chan Yuen Yip
Information Systems Business Analytics Curriculum - Competencies from National Infocomm Skills Model and Job Listings. AMCIS (2021)
Kyong Jin Shim, Swapna Gottipati, Yi Meng Lau
Integrated Framework for Developing Instructional Videos for Foundational Computing Courses. PACIS (2021)
Swapna Gottipati, Kyong Jin Shim, Sarthak Sahoo
Glassdoor Job Description Analytics - Analyzing Data Science Professional Roles and Skills. EDUCON (2021)
Sebastian Zhi Tao Khoo, Leong Hock Ho, Ee Hong Lee, Danston Kheng Boon Goh, Zehao Zhang, Swee Hong Ng, Haodi Qi, Kyong Jin Shim
Social Media Analytics: A Case Study of Singapore General Election 2020. IEEE BigData (2020)
Xuesi Sim, Ern Rae Chang, Yu Xiang Ong, Jie Ying Yeo, Christine Bai Shuang Yan, Eugene Wen Jia Choy, Kyong Jin Shim
Digital Social Listening on Conversations About Sexual Harassment. IEEE BigData (2020)
Derrick Ming Yang Lee, Dion Wei Xuan Ang, Grace Mei Ching Pua, Lee Ning Ng, Sharon Purbowo, Eugene Wen Jia Choy, Kyong Jin Shim
A Social Network Analysis of Jobs and Skills. IEEE BigData (2020)
Haodi Qi, Hanyu Jiang, Wende Bu, Chengzi Zhang, Kyong Jin Shim
Tracking Political Events in Social Media: A Case Study of Hong Kong Protests. IEEE BigData (2019)
Maruthi Prithivirajan, Kyong Jin Shim
An IoT-Driven Smart Cafe Solution for Human Traffic Management. IEEE BigData (2019)
Jane H. K. Seah, Kyong Jin Shim
Plugin to a Healthier Life: A Web Browser Plugin for Mental Health Monitoring. IEEE BigData (2019)
Eugene W. J. Choy, Winston M. K. Ho, Xiaohang Li, Ragini Verma, Li J. Sim, Kyong Jin Shim
Happy Toilet: A Social Analytics Approach to the Study of Public Toilet Cleanliness. IEEE BigData (2019)
Cheng L. Lee, Joel-David J. J. Wong, Zi Y. Lim, Belinda S. T. Tho, Sean S. W. Kwek, Kyong Jin Shim
How Does Fake News Spread: Raising Awareness & Educating the Public with a Simulation Tool. IEEE BigData (2019)
Eugene W. J. Choy, Gladys H. L. Ng, Martius J. H. Lim, Kyong Jin Shim
Listen, Nudge, Empower: A Mobile Gratitude Journal Application. IEEE BigData (2019)
Jane H. K. Seah, Kyong Jin Shim
Data Mining Approach to the Detection of Suicide in Social Media: A Case Study of Singapore. IEEE BigData (2018)
Li Chin Ho, Kyong Jin Shim
Data Mining Approach to the Identification of At-Risk Students. IEEE BigData (2018)
Colin K. L. Tay, Kyong Jin Shim
A Cloud-Based Data Gathering and Processing System for Intelligent Demand Forecasting. IEEE BigData (2018)
Antonette Shibani, Elizabeth Koh, Vivian Lai, Kyong Jin Shim
Assessing the Language of Chat for Teamwork Dialogue. J. Educ. Technol. Soc. 20 (2) (2017)
Antonette Shibani, Elizabeth Koh, Vivian Lai, Kyong Jin Shim
Analysis of teamwork dialogue: A data mining approach. IEEE BigData (2016)
Vivian Lai, Kyong Jin Shim, Richard Jayadi Oentaryo, Philips Kokoh Prasetyo, Casey Vu, Ee-Peng Lim, David Lo
CareerMapper: An automated resume evaluation tool. IEEE BigData (2016)
Vivian Lai, Kyong Jin Shim, Richard Jayadi Oentaryo, Philips Kokoh Prasetyo, Casey Vu, Ee-Peng Lim, David Lo
CareerMapper: An Automated Resume Evaluation Tool. CoRR (2016)
Maruthi Prithivirajan, Vivian Lai, Kyong Jin Shim, Koo Ping Shung
Analysis of star ratings in consumer reviews: A case study of Yelp. IEEE BigData (2015)
Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava
Modeling Player Performance in Massively Multiplayer Online Role-Playing Games: The Effects of Diversity in Mentoring Network. ASONAM (2011)
Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava
Effects of Mentoring on Player Performance in Massively Multiplayer Online Role-Playing Games (MMORPGs). ASONAM (2011)
Colin DeLong, Nishith Pathak, Kendrick Erickson, Eric Perrino, Kyong Jin Shim, Jaideep Srivastava
TeamSkill: Modeling Team Chemistry in Online Multi-player Games. PAKDD (2) (2011)
Kyong Jin Shim, Kuo-Wei Hsu, Samarth Damania, Colin DeLong, Jaideep Srivastava
An Exploratory Study of Player and Team Performance in Multiplayer First-Person-Shooter Games. SocialCom/PASSAT (2011)
Kyong Jin Shim, Kuo-Wei Hsu, Jaideep Srivastava
An Exploratory Study of Player Performance, Motivation, and Enjoyment in Massively Multiplayer Online Role-Playing Games. SocialCom/PASSAT (2011)
Kyong Jin Shim, Jaideep Srivastava
Sequence Alignment Based Analysis of Player Behavior in Massively Multiplayer Online Role-Playing Games (MMORPGs). ICDM Workshops (2010)
Kyong Jin Shim, Jaideep Srivastava
Behavioral profiles of character types in EverQuest II. CIG (2010)
Kyong Jin Shim, Richa Sharan, Jaideep Srivastava
Player Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs). PAKDD (2) (2010)
Kyong Jin Shim, Jaideep Srivastava
Team Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs). SocialCom/PASSAT (2010)
Kyong Jin Shim
Evaluation of Protein Backbone Alphabets: Using Predicted Local Structure for Fold Recognition. ICDM Workshops (2010)
Kyong Jin Shim, Muhammad Aurangzeb Ahmad, Nishith Pathak, Jaideep Srivastava
Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs). CSE (4) (2009)
Eric W. Klee, Kyong Jin Shim, Michael A. Pickart, Stephen C. Ekker, Lynda B. M. Ellis
AMOD: a morpholino oligonucleotide selection tool. Nucleic Acids Res. 33 (Web-Server-Issue) (2005)