Computationally Efficient Heuristics for If-Then Rule Extraction from Freed-Forward Neural Networks. - Hyeoncheol Kim (Discovery Science, 2000)

Automated Classification of Industry and Occupation Codes Using Document Classification Method. - Heuiseok Lim; Hyeoncheol Kim (ICONIP, 2004)

Agent-Based Approach to Conference Information Management. - Hee-Seop Han; Jae-Bong Kim; Sun-Gwan Han; Hyeoncheol Kim (KES, 2004)

Eyes of a Wiki: Automated Navigation Map. - Hee-Seop Han; Hyeoncheol Kim (ICADL, 2005)

Cleavage Site Analysis Using Rule Extraction from Neural Networks. - Yeun-Jin Cho; Hyeoncheol Kim (ICNC (1), 2005)

Prediction Rule Generation of MHC Class I Binding Peptides Using ANN and GA. - Yeon-Jin Cho; Hyeoncheol Kim; Heung-Bum Oh (ICNC (1), 2005)

Rule Generation Using NN and GA for SARS-CoV Cleavage Site Prediction. - Yeon-Jin Cho; Hyeoncheol Kim (KES (3), 2005)

Information-Based Pruning for Interesting Association Rule Mining in the Item Response Dataset. - Hyeoncheol Kim; Eun-Young Kwak (KES (1), 2005)

Predictability of Rules in HIV-1 Protease Cleavage Site Analysis. - Hyeoncheol Kim; Tae-Sun Yoon; Yiying Zhang; Anupam Dikshit; Su-Shing Chen (International Conference on Computational Science (2), 2006)

Adaptive QoS for Using Multimedia in e-Learning. - Hee-Seop Han; Hyeoncheol Kim (KES (1), 2006)

Adaptive QoS for Educational User Created Content(UCC). - Hee-Seop Han; SeonKwan Han; Soo-Hwan Kim; Hyeoncheol Kim (Edutainment, 2007)

A Context Model Based on Multi-agent in U-Learning Environment. - Soo Jin Jun; SeonKwan Han; Soo-Hwan Kim; Hyeoncheol Kim; Won-Gyu Lee (Edutainment, 2007)

Feature Selection using Multi-Layer Perceptron in HIV-1 Protease Cleavage Data. - Gilhan Kim; Yeonjoo Kim; Hyeoncheol Kim (BMEI (1), 2008)

The Study on Visualization Systems for Computer-Supported Collaborative Learning. - Soo-Hwan Kim; Hyeoncheol Kim; SeonKwan Han (Edutainment, 2008)

Specificity rule discovery in HIV-1 protease cleavage site analysis. - Hyeoncheol Kim; Yiying Zhang; Yong-Seok Heo; Heung-Bum Oh; Su-Shing Chen (Comput. Biol. Chem., 2008)

How Can We Teach Computational Literacy to All Levels of Students?. - Soo-Hwan Kim; SeonKwan Han; Hyeoncheol Kim (NCM, 2009)

Generating Rules for Predicting MHC Class I Binding Peptide using ANN and Knowledge-based GA. - Yeon-Jin Cho; Hyeoncheol Kim; Heung-Bum Oh (J. Digit. Content Technol. its Appl., 2009)

A Personalized CALL System Considering Users Cognitive Abilities. - Saebyeok Lee; WonGye Lee; Hyeoncheol Kim; Soonyoung Jung; Heuiseok Lim (ICCSA (4), 2010)

An MLP-based feature subset selection for HIV-1 protease cleavage site analysis. - Gilhan Kim; Yeonjoo Kim; Heuiseok Lim; Hyeoncheol Kim (Artif. Intell. Medicine, 2010)

A Personalized English Vocabulary Learning System Based on Cognitive Abilities Related to Foreign Language Proficiency. - DaiYoung Kwon; Heuiseok Lim; Won-Gyu Lee; Hyeoncheol Kim; Soonyoung Jung; Taeweon Suh; Kichun Nam (KSII Trans. Internet Inf. Syst., 2010)

Constructing the Semantic Information Model using A Collective Intelligence Approach. - Kigon Lyu; Jungyong Lee; Dongeon Sun; DaiYoung Kwon; Hyeoncheol Kim (KSII Trans. Internet Inf. Syst., 2011)

A development of learning widget on m-learning and e-learning environments. - Soo-Hwan Kim; Hyeoncheol Kim; SeonKwan Han (Behav. Inf. Technol., 2013)

Inter-vehicular distance estimation scheme based on image sensor. - Hyeoncheol Kim; Deok-Weon Song; Jun-Hyung Lee; Jong-Ho Yoo; Sung-Yoon Jung (ICEIC, 2014)

Identifying non-elliptical entity mentions in a coordinated NP with ellipses. - Jeongmin Chae; YoungHee Jung; Taemin Lee; Soonyoung Jung; Chan Huh; Gilhan Kim; Hyeoncheol Kim; Heung-Bum Oh (J. Biomed. Informatics, 2014)

Predicting the use of smartphone-based Augmented Reality (AR): Does telepresence really help? - Hyeoncheol Kim; Martin Yongho Hyun (Comput. Hum. Behav., 2016)

Fostering Creativity in Tablet-Based Interactive Classrooms. - Hye Jeong Kim; Ji Hyeon Park; Sungae Yoo; Hyeoncheol Kim (J. Educ. Technol. Soc., 2016)

Sentiment Analysis Using Word Polarity of Social Media. - Kigon Lyu; Hyeoncheol Kim (Wirel. Pers. Commun., 2016)

Multi-Channel Lexicon Integrated CNN-BiLSTM Models for Sentiment Analysis. - Joosung Yoon; Hyeoncheol Kim (ROCLING, 2017)

Adullam at SemEval-2017 Task 4: Sentiment Analyzer Using Lexicon Integrated Convolutional Neural Networks with Attention. - Joosung Yoon; Kigon Lyu; Hyeoncheol Kim (SemEval@ACL, 2017)

Real-time video watermarking techniques robust against re-encoding. - GilSang Yoo; Hyeoncheol Kim (J. Real Time Image Process., 2017)

Performance of a wavelength hopping MC-VPPM scheme for vehicle-to-infrastructure(V2I) VLC. - Hyeoncheol Kim; Byung Wook Kim; Sung-Yoon Jung (Photonic Netw. Commun., 2017)

Erratum to: Performance of a wavelength hopping MC-VPPM scheme for vehicle-to-infrastructure(V2I) VLC. - Hyeoncheol Kim; Byung Wook Kim; Sung-Yoon Jung (Photonic Netw. Commun., 2017)

Emotion extraction based on multi bio-signal using back-propagation neural network. - GilSang Yoo; Sanghyun Seo; Sungdae Hong; Hyeoncheol Kim (Multim. Tools Appl., 2018)

Implementation of convergence P2P information retrieval system from captured video frames. - GilSang Yoo; Hyeoncheol Kim; Sungdae Hong (Peer-to-Peer Netw. Appl., 2018)

Deep Explanation Model for Facial Expression Recognition Through Facial Action Coding Unit. - Sunbin Kim; Hyeoncheol Kim (BigComp, 2019)

The Structure of Deep Neural Network for Interpretable Transfer Learning. - Dowan Kim; Woohyun Lim; Minye Hong; Hyeoncheol Kim (BigComp, 2019)

Is she really happy? A dual-path model of narcissistic self-presentation outcomes for female facebook users. - Eunah Yu; Hyeoncheol Kim (Comput. Hum. Behav., 2020)

Why and What to Teach: AI Curriculum for Elementary School. - Seonghun Kim; Yeonju Jang; Woojin Kim; Seongyune Choi; HeeSeok Jung; Soo-Hwan Kim; Hyeoncheol Kim (AAAI, 2021)

Student Knowledge Prediction for Teacher-Student Interaction. - Seonghun Kim; Woojin Kim; Yeonju Jang; Seongyune Choi; HeeSeok Jung; Hyeoncheol Kim (AAAI, 2021)

DiKT: Dichotomous Knowledge Tracing. - Seounghun Kim; Woojin Kim; HeeSeok Jung; Hyeoncheol Kim (ITS, 2021)

Learning Path Construction Using Reinforcement Learning and Bloom's Taxonomy. - Seounghun Kim; Woojin Kim; Hyeoncheol Kim (ITS, 2021)

Uncertainty of Rules Extracted from Artificial Neural Networks. - Hurnjoo Lee; Hyeoncheol Kim (Appl. Artif. Intell., 2021)

The moderating role of acculturation in fostering young Chinese moviegoers' sustainable e-WOM behaviour in Korea. - Hyeoncheol Kim; Zong-yi Zhu (Behav. Inf. Technol., 2021)

Artificial Association Neural Networks. - Seokjun Kim; Jaeeun Jang; HeeSeok Jung; Hyeoncheol Kim (CoRR, 2021)

Associational Deductive Networks. - Seokjun Kim; Jaeeun Jang; Hyeoncheol Kim (CoRR, 2021)

Associational Memory Networks. - Seokjun Kim; Jaeeun Jang; Yeonju Jang; Seongyune Choi; Hyeoncheol Kim (CoRR, 2021)

Imagine Networks. - Seokjun Kim; Jaeeun Jang; Hyeoncheol Kim (CoRR, 2021)

Analyzing Teacher Competency with TPACK for K-12 AI Education. - Seonghun Kim; Yeonju Jang; Seongyune Choi; Woojin Kim; HeeSeok Jung; Soo-Hwan Kim; Hyeoncheol Kim (Künstliche Intell., 2021)

KPCR: Knowledge Graph Enhanced Personalized Course Recommendation. - HeeSeok Jung; Yeonju Jang; Seonghun Kim; Hyeoncheol Kim (AI, 2022)

Practical early prediction of students' performance using machine learning and eXplainable AI. - Yeonju Jang; Seongyune Choi; HeeSeok Jung; Hyeoncheol Kim (Educ. Inf. Technol., 2022)

Development and validation of an instrument to measure undergraduate students' attitudes toward the ethics of artificial intelligence (AT-EAI) and analysis of its difference by gender and experience of AI education. - Yeonju Jang; Seongyune Choi; Hyeoncheol Kim (Educ. Inf. Technol., 2022)

Author Correction: Development and validation of an instrument to measure undergraduate students' attitudes toward the ethics of artificial intelligence (AT-EAI) and analysis of its difference by gender and experience of AI education. - Yeonju Jang; Seongyune Choi; Hyeoncheol Kim (Educ. Inf. Technol., 2022)

Correction to: Analyzing Teacher Competency with TPACK for K-12 AI Education. - Seonghun Kim; Yeonju Jang; Seongyune Choi; Woojin Kim; HeeSeok Jung; Soohwan Kim; Hyeoncheol Kim (Künstliche Intell., 2022)

Monacobert. - Unggi Lee; Yonghyun Park; Yujin Kim; Seoungyun Choi; Hyeoncheol Kim (IEEE DataPort, 2023)

Influence of Pedagogical Beliefs and Perceived Trust on Teachers' Acceptance of Educational Artificial Intelligence Tools. - Seongyune Choi; Yeonju Jang; Hyeoncheol Kim (Int. J. Hum. Comput. Interact., 2023)

A gender perspective on the use of mobile social network applications to enhance the social well-being of people with physical disabilities: the mediating role of sense of belonging. - Hyeoncheol Kim; Zong-yi Zhu (Behav. Inf. Technol., 2023)

A Deep Learning Approach to Imputation of Dynamic Pupil Size Data and Prediction of ADHD. - Seongyune Choi; Yeonju Jang; Hyeoncheol Kim (Int. J. Artif. Intell. Tools, 2023)

Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction. - Unggi Lee; Sungjun Yoon; Joon Seo Yun; Kyoungsoo Park; Younghoon Jung; Damji Stratton; Hyeoncheol Kim (LREC/COLING, 2024)

MonaCoBERT: Monotonic Attention Based ConvBERT for Knowledge Tracing. - Unggi Lee; Yonghyun Park; Yujin Kim; Seongyune Choi; Hyeoncheol Kim (ITS (2), 2024)

LLaVA-docent: Instruction tuning with multimodal large language model to support art appreciation education. - Unggi Lee; Minji Jeon; Yunseo Lee; Gyuri Byun; Yoorim Son; Jaeyoon Shin; Hongkyu Ko; Hyeoncheol Kim (Comput. Educ. Artif. Intell., 2024)

Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task. - Unggi Lee; Jiyeong Bae; Dohee Kim; Sookbun Lee; Jaekwon Park; Taekyung Ahn; Gunho Lee; Damji Stratton; Hyeoncheol Kim (CoRR, 2024)

From Prediction to Application: Language Model-based Code Knowledge Tracing with Domain Adaptive Pre-Training and Automatic Feedback System with Pedagogical Prompting for Comprehensive Programming Education. - Unggi Lee; Jiyeong Bae; Yeonji Jung; Minji Kang; Gyuri Byun; Yeonseo Lee; Dohee Kim; Sookbun Lee; Jaekwon Park; Taekyung Ahn; Gunho Lee; Hyeoncheol Kim (CoRR, 2024)

How to Align Large Language Models for Teaching English? Designing and Developing LLM based-Chatbot for Teaching English Conversation in EFL, Findings and Limitations. - Jaekwon Park; Jiyoung Bae; Unggi Lee; Taekyung Ahn; Sookbun Lee; Dohee Kim; Aram Choi; Yeil Jeong; Jewoong Moon; Hyeoncheol Kim (CoRR, 2024)

Prompt Aloud!: Incorporating image-generative AI into STEAM class with learning analytics using prompt data. - Unggi Lee; Ariel Han; Jeongjin Lee; Eunseo Lee; Jiwon Kim; Hyeoncheol Kim; Cheolil Lim (Educ. Inf. Technol., 2024)

Few-shot is enough: exploring ChatGPT prompt engineering method for automatic question generation in english education. - Unggi Lee; Haewon Jung; Younghoon Jeon; Younghoon Sohn; Wonhee Hwang; Jewoong Moon; Hyeoncheol Kim (Educ. Inf. Technol., 2024)

Exploring factors influencing students' intention to use intelligent personal assistants for learning. - Seongyune Choi; Yeonju Jang; Hyeoncheol Kim (Interact. Learn. Environ., 2024)

I see you: teacher analytics with GPT-4 vision-powered observational assessment. - Unggi Lee; Yeil Jeong; Junbo Koh; Gyuri Byun; Yunseo Lee; Hyunwoong Lee; Seunmin Eun; Jewoong Moon; Cheolil Lim; Hyeoncheol Kim (Smart Learn. Environ., 2024)

Accelerating LLMs using an Efficient GEMM Library and Target-Aware Optimizations on Real-World PIM Devices. - Hyeoncheol Kim; Taehoon Kim; Taehyeong Park 001; Donghyeon Kim 001; Yongseung Yu; Hanjun Kim 001; Yongjun Park 001 (CGO, 2025)

Gamified Team Programming in MUVEs: Effects on Student Engagement and Achievement. - Yeonju Jang; Seongyune Choi; HeeSeok Jung; Hyeoncheol Kim (ITS (2), 2025)

Counterfactual Fairness Evaluation of Machine Learning Models on Educational Datasets. - Woojin Kim; Hyeoncheol Kim (ITS (2), 2025)

ES-KT-24: A Multimodal Knowledge Tracing Benchmark Dataset with Educational Game Playing Video and Synthetic Text Generation. - Dohee Kim; Unggi Lee; Sookbun Lee; Jiyeong Bae; Taekyung Ahn; Jaekwon Park; Gunho Lee; Hyeoncheol Kim (ITS (2), 2025)

Echo-Teddy: Preliminary Design and Development of Large Language Model-Based Social Robot for Autistic Students. - Unggi Lee; Hansung Kim; Juhong Eom; Hyeonseo Jeong; Seungyeon Lee; Gyuri Byun; Yunseo Lee; Minji Kang; Gospel Kim; Jihoi Na; Jewoong Moon; Hyeoncheol Kim (ITS (2), 2025)

LLaVA-Docent-V2: Improving Data Quality and Pedagogical Data Generation to Train Large Multimodal Models for Art Appreciation Education. - Unggi Lee; Yoorim Son; Jaeyoon Shin; Gyuri Byun; Yunseo Lee; Junbo Koh; Minji Jeon; Hyeoncheol Kim (ITS (2), 2025)

A Comprehensive Survey and Taxonomy on Large Language Model-Based Knowledge Tracing. - Sunwoo Park; Hyeoncheol Kim (ITS (1), 2025)

Two-Level Imbalance Mitigation (TLIM): A Dual-Strategy Approach for Multi-class Error Classification in Programming Education. - Sunwoo Park; Hyeoncheol Kim (ITS (2), 2025)

Developing an AI literacy diagnostic tool for elementary school students. - Kimin Chung; Soohwan Kim; Yeonju Jang; Seongyune Choi; Hyeoncheol Kim (Educ. Inf. Technol., 2025)

Echo-Teddy: Preliminary Design and Development of Large Language Model-based Social Robot for Autistic Students. - Unggi Lee; Hansung Kim 002; Juhong Eom; Hyeonseo Jeong; Seungyeon Lee; Gyuri Byun; Yunseo Lee; Minji Kang; Gospel Kim; Jihoi Na; Jewoong Moon; Hyeoncheol Kim (CoRR, 2025)

Acoustic Anomaly Detection on UAM Propeller Defect with Acoustic dataset for Crack of drone Propeller (ADCP). - Juho Lee; Donghyun Yoon; Gumoon Jeong; Hyeoncheol Kim (CoRR, 2025)

How Can Video Generative AI Transform K-12 Education? Examining Teachers' Perspectives through TPACK and TAM. - Unggi Lee; Yeil Jeong; Seungha Kim; Yoorim Son; Gyuri Byun; Hyeoncheol Kim; Cheolil Lim (CoRR, 2025)

The impact of a large language model-based programming learning environment on students' motivation and programming ability. - Seongyune Choi; Hyeoncheol Kim (Educ. Inf. Technol., 2025)

Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark. - Unggi Lee; Jaeyong Lee; Jiyeong Bae; Yeil Jeong; Junbo Koh; Gyeonggeon Lee; Gunho Lee; Taekyung Ahn; Hyeoncheol Kim (CoRR, 2025)