YeongWook Yang
Orcid: 0000-0003-3219-7250
According to our database1,
YeongWook Yang
authored at least 30 papers
between 2016 and 2024.
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Bibliography
2024
Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education.
Mach. Learn. Knowl. Extr., March, 2024
ImageLM: Interpretable image-based learner modelling for classifying learners' computational thinking.
Expert Syst. Appl., March, 2024
Exploiting Hanja-Based Resources in Processing Korean Historic Documents Written by Common Literati.
IEEE Access, 2024
Problems With SHAP and LIME in Interpretable AI for Education: A Comparative Study of Post-Hoc Explanations and Neural-Symbolic Rule Extraction.
IEEE Access, 2024
2023
Game-based assessment tool using convergence of gamification and motivation theory in intelligent tutoring system.
Pers. Ubiquitous Comput., 2023
Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education.
CoRR, 2023
IEEE Access, 2023
2022
Unifying user preference and item knowledge-based similarity models for top-N recommendation.
Pers. Ubiquitous Comput., 2022
Exploring the Relationship Between Learning Achievement and Discussion Records in Remote Maker Activities.
Proceedings of the Innovative Technologies and Learning - 5th International Conference, 2022
2021
Neural spelling correction: translating incorrect sentences to correct sentences for multimedia.
Multim. Tools Appl., 2021
An adaptive educational computer game: Effects on students' knowledge and learning attitude in computational thinking.
Comput. Hum. Behav., 2021
Combining Flipped Learning and Formative Assessment to Enhance the Learning Performance of Students in Programming.
Proceedings of the Innovative Technologies and Learning - 4th International Conference, 2021
2020
Predicting course achievement of university students based on their procrastination behaviour on Moodle.
Soft Comput., 2020
A group preference-based item similarity model: comparison of clustering techniques in ambient and context-aware recommender systems.
J. Ambient Intell. Humaniz. Comput., 2020
Mining Educational Data to Predict Students' Performance through Procrastination Behavior.
Entropy, 2020
A Hybrid Recommender System for Sequential Recommendation: Combining Similarity Models With Markov Chains.
IEEE Access, 2020
Comparison of the Evaluation Metrics for Neural Grammatical Error Correction With Overcorrection.
IEEE Access, 2020
IEEE Access, 2020
Transparent Player Model: Adaptive Visualization of Learner Model in Educational Games.
Proceedings of the Innovative Technologies and Learning - Third International Conference, 2020
Engaging Estonian primary school children in computational thinking through adaptive educational games: A qualitative study.
Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020
Proceedings of the Computer Supported Education - 12th International Conference, 2020
Investigating the Learning Impact of Autothinking Educational Game on Adults: A Case Study of France.
Proceedings of the 12th International Conference on Computer Supported Education, 2020
2019
GPS: Factorized group preference-based similarity models for sparse sequential recommendation.
Inf. Sci., 2019
Cogn. Technol. Work., 2019
Proceedings of the Innovative Technologies and Learning - Second International Conference, 2019
A Comparative Analysis of Emotional Words for Learning Effectiveness in Online Education.
Proceedings of the 12th International Conference on Educational Data Mining, 2019
2016
Predicting Second Language Proficiency Level Using Linguistic Cognitive Task and Machine Learning Techniques.
Wirel. Pers. Commun., 2016
Inf. Technol. Manag., 2016