A study on factor analysis to support knowledge based decisions for a smart class. - Jaechoon Jo; Jeongbae Park; Hyesung Ji; YeongWook Yang; Heuiseok Lim (Inf. Technol. Manag., 2016)

Predicting Second Language Proficiency Level Using Linguistic Cognitive Task and Machine Learning Techniques. - YeongWook Yang; WonHee Yu; Heuiseok Lim (Wirel. Pers. Commun., 2016)

A Comparative Analysis of Emotional Words for Learning Effectiveness in Online Education. - Jaechoon Jo; YeongWook Yang; Gyeongmin Kim; Heuiseok Lim (EDM, 2019)

AutoThinking: An Adaptive Computational Thinking Game. - Danial Hooshyar; Heuiseok Lim; Margus Pedaste; Kisu Yang; Moein Fathi; YeongWook Yang (ICITL, 2019)

Long-term effects of adaptive customization support on elderly people. - Danial Hooshyar; Seolhwa Lee; YeongWook Yang; Jaechoon Jo; Heuiseok Lim (Cogn. Technol. Work., 2019)

GPS: Factorized group preference-based similarity models for sparse sequential recommendation. - YeongWook Yang; Danial Hooshyar; Heuiseok Lim (Inf. Sci., 2019)

Investigating the Learning Impact of Autothinking Educational Game on Adults: A Case Study of France. - Nour El Mawas; Danial Hooshyar; YeongWook Yang (CSEDU (2), 2020)

Effects of Adaptive Educational Games on Adults' Computational Thinking. - Nour El Mawas; Danial Hooshyar; YeongWook Yang (CSEDU (Selected Papers), 2020)

Engaging Estonian primary school children in computational thinking through adaptive educational games: A qualitative study. - Liina Malva; Danial Hooshyar; YeongWook Yang; Margus Pedaste (ICALT, 2020)

Transparent Player Model: Adaptive Visualization of Learner Model in Educational Games. - Danial Hooshyar; Emanuele Bardone; Nour El Mawas; YeongWook Yang (ICITL, 2020)

Clustering Algorithms in an Educational Context: An Automatic Comparative Approach. - Danial Hooshyar; YeongWook Yang; Margus Pedaste; Yueh-Min Huang (IEEE Access, 2020)

Ancient Korean Neural Machine Translation. - Chanjun Park; Chanhee Lee; YeongWook Yang; Heuiseok Lim (IEEE Access, 2020)

Comparison of the Evaluation Metrics for Neural Grammatical Error Correction With Overcorrection. - Chanjun Park; YeongWook Yang; Chanhee Lee; Heuiseok Lim (IEEE Access, 2020)

A Hybrid Recommender System for Sequential Recommendation: Combining Similarity Models With Markov Chains. - YeongWook Yang; Hong-Jun Jang; Byoungwook Kim (IEEE Access, 2020)

Mining Educational Data to Predict Students' Performance through Procrastination Behavior. - Danial Hooshyar; Margus Pedaste; YeongWook Yang (Entropy, 2020)

A group preference-based item similarity model: comparison of clustering techniques in ambient and context-aware recommender systems. - YeongWook Yang; Danial Hooshyar; Jaechoon Jo; Heuiseok Lim (J. Ambient Intell. Humaniz. Comput., 2020)

Predicting course achievement of university students based on their procrastination behaviour on Moodle. - YeongWook Yang; Danial Hooshyar; Margus Pedaste; Minhong Wang 001; Yueh-Min Huang; Heuiseok Lim (Soft Comput., 2020)

Combining Flipped Learning and Formative Assessment to Enhance the Learning Performance of Students in Programming. - Shu-Chen Cheng; Yu-Ping Cheng; Yueh-Min Huang; YeongWook Yang (ICITL, 2021)

An adaptive educational computer game: Effects on students' knowledge and learning attitude in computational thinking. - Danial Hooshyar; Liina Malva; YeongWook Yang; Margus Pedaste; Minhong Wang 001; Heuiseok Lim (Comput. Hum. Behav., 2021)

Neural spelling correction: translating incorrect sentences to correct sentences for multimedia. - Chanjun Park; Kuekyeng Kim; YeongWook Yang; Minho Kang; Heuiseok Lim (Multim. Tools Appl., 2021)

Exploring the Relationship Between Learning Achievement and Discussion Records in Remote Maker Activities. - Yu-Cheng Chien; Pei-Yu Cheng; Lin-Tao Csui; YeongWook Yang; Danial Hooshyar; Yueh-Min Huang (ICITL, 2022)

GameDKT: Deep knowledge tracing in educational games. - Danial Hooshyar; Yueh-Min Huang; YeongWook Yang (Expert Syst. Appl., 2022)

Unifying user preference and item knowledge-based similarity models for top-N recommendation. - YeongWook Yang; Jaechoon Jo; Heuiseok Lim (Pers. Ubiquitous Comput., 2022)

Modeling Learners to Early Predict Their Performance in Educational Computer Games. - Danial Hooshyar; Nour El Mawas; Marcelo Milrad; YeongWook Yang (IEEE Access, 2023)

Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education. - Danial Hooshyar; Roger Azevedo; Yeongwook Yang (CoRR, 2023)

Game-based assessment tool using convergence of gamification and motivation theory in intelligent tutoring system. - Jaechoon Jo; Eunsun Yi; YeongWook Yang; Shin-Hyeong Choi (Pers. Ubiquitous Comput., 2023)

Problems With SHAP and LIME in Interpretable AI for Education: A Comparative Study of Post-Hoc Explanations and Neural-Symbolic Rule Extraction. - Danial Hooshyar; Yeongwook Yang (IEEE Access, 2024)

Exploiting Hanja-Based Resources in Processing Korean Historic Documents Written by Common Literati. - Hyeonseok Moon; Myunghoon Kang; Jaehyung Seo; Sugyeong Eo; Chanjun Park; Yeongwook Yang; Heuiseok Lim (IEEE Access, 2024)

ImageLM: Interpretable image-based learner modelling for classifying learners' computational thinking. - Danial Hooshyar; Yeongwook Yang (Expert Syst. Appl., 2024)

Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education. - Danial Hooshyar; Roger Azevedo; Yeongwook Yang (Mach. Learn. Knowl. Extr., 2024)

Predicting Course Grades Through Comprehensive Modeling of Students' Learning Behavioral Patterns. - Danial Hooshyar; Yeongwook Yang (Complex., 2025)

Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods. - Danial Hooshyar; Eve Kikas; Yeongwook Yang; Gustav Sír; Raija Hämäläinen; Tommi Kärkkäinen; Roger Azevedo (CoRR, 2025)

Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room. - Danial Hooshyar; Gustav Sír; Yeongwook Yang; Eve Kikas; Raija Hämäläinen; Tommi Kärkkäinen; Dragan Gasevic; Roger Azevedo (CoRR, 2025)