| Mining educational data to predict students’ performance through procrastination behavior D Hooshyar, M Pedaste, Y Yang Entropy 22 (1), 12, 2020 | 130 | 2020 |
| An adaptive educational computer game: Effects on students' knowledge and learning attitude in computational thinking D Hooshyar, L Malva, Y Yang, M Pedaste, M Wang, H Lim Computers in Human Behavior 114, 106575, 2021 | 120 | 2021 |
| From gaming to computational thinking: An adaptive educational computer game-based learning approach D Hooshyar, M Pedaste, Y Yang, L Malva, GJ Hwang, M Wang, H Lim, ... Journal of Educational Computing Research 59 (3), 383-409, 2021 | 100 | 2021 |
| Predicting course achievement of university students based on their procrastination behaviour on Moodle Y Yang, D Hooshyar, M Pedaste, M Wang, YM Huang, H Lim Soft Computing 24, 18777-18793, 2020 | 50 | 2020 |
| Decoding Strategies for Improving Low-Resource Machine Translation C Park, Y Yang, K Park, H Lim Electronics 9 (10), 1562, 2020 | 44 | 2020 |
| AutoThinking: An adaptive computational thinking game D Hooshyar, H Lim, M Pedaste, K Yang, M Fathi, Y Yang Innovative Technologies and Learning: Second International Conference, ICITL …, 2019 | 36 | 2019 |
| Neural spelling correction: translating incorrect sentences to correct sentences for multimedia C Park, K Kim, YW Yang, M Kang, H Lim Multimedia Tools and Applications 80, 34591-34608, 2021 | 31 | 2021 |
| Ancient Korean Neural Machine Translation C Park, C Lee, Y Yang, H Lim IEEE Access 8, 116617 - 116625, 2020 | 31 | 2020 |
| GameDKT: Deep knowledge tracing in educational games D Hooshyar, YM Huang, Y Yang Expert Systems with Applications 196, 116670, 2022 | 26 | 2022 |
| Comparison of the evaluation metrics for Neural Grammatical Error Correction with Overcorrection C Park, Y Yang, C Lee, H Lim IEEE Access 8, 106264 - 106272, 2020 | 26 | 2020 |
| A study on factor analysis to support knowledge based decisions for a smart class J Jo, J Park, H Ji, Y Yang, H Lim Information Technology and Management 17, 43-56, 2016 | 25 | 2016 |
| Prediction of students’ procrastination behaviour through their submission behavioural pattern in online learning Y Yang, D Hooshyar, M Pedaste, M Wang, YM Huang, H Lim Journal of Ambient Intelligence and Humanized Computing, 1-18, 2020 | 18 | 2020 |
| Clustering algorithms in an educational context: An automatic comparative approach D Hooshyar, Y Yang, M Pedaste, YM Huang IEEE Access 8, 146994-147014, 2020 | 17 | 2020 |
| Predicting course grade through comprehensive modelling of students’ learning behavioral pattern D Hooshyar, Y Yang Complexity 2021, 1-12, 2021 | 16 | 2021 |
| A hybrid recommender system for sequential recommendation: Combining similarity models with Markov chains Y Yang, HJ Jang, B Kim IEEE Access 8, 190136-190146, 2020 | 15 | 2020 |
| Engaging Estonian primary school children in computational thinking through adaptive educational games: A qualitative study L Malva, D Hooshyar, Y Yang, M Pedaste 2020 IEEE 20th international conference on advanced learning technologies …, 2020 | 14 | 2020 |
| Development of smart senior classification model based on activity profile using machine learning method YD Yun, YW Yang, HS Ji, HS Lim Journal of the Korea Convergence Society 8 (1), 25-34, 2017 | 14 | 2017 |
| GPS: Factorized group preference-based similarity models for sparse sequential recommendation Y Yang, D Hooshyar, HS Lim Information Sciences 481, 394-411, 2019 | 13 | 2019 |
| FP-growth algorithm for discovering region-based association rule in the IoT environment HJ Jang, Y Yang, JS Park, B Kim Electronics 10 (24), 3091, 2021 | 12 | 2021 |
| A group preference-based item similarity model: comparison of clustering techniques in ambient and context-aware recommender systems Y Yang, D Hooshyar, J Jo, H Lim Journal of Ambient Intelligence and Humanized Computing 11 (4), 1441-1449, 2020 | 12 | 2020 |
Heuiseok LImProfessor at Computer science & eng., Korea UniversityVerified email at korea.ac.kr
