Danial Hooshyar

According to our database, Danial Hooshyar authored at least 36 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ImageLM: Interpretable image-based learner modelling for classifying learners' computational thinking.

Danial Hooshyar, Yeongwook Yang

Expert Syst. Appl., March, 2024

Temporal learner modelling through integration of neural and symbolic architectures.

Danial Hooshyar

Educ. Inf. Technol., January, 2024

2023

Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education.

Danial Hooshyar, Roger Azevedo, Yeongwook Yang

CoRR, 2023

Modeling Learners to Early Predict Their Performance in Educational Computer Games.

Danial Hooshyar, Nour El Mawas, Marcelo Milrad, YeongWook Yang

IEEE Access, 2023

2022

GameDKT: Deep knowledge tracing in educational games.

Danial Hooshyar, Yueh-Min Huang, YeongWook Yang

Expert Syst. Appl., 2022

Effects of technology-enhanced learning approaches on learners with different prior learning attitudes and knowledge in computational thinking.

Danial Hooshyar

Comput. Appl. Eng. Educ., 2022

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

Proceedings of the Innovative Technologies and Learning - 5th International Conference, 2022

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, Heuiseok Lim

Comput. Hum. Behav., 2021

Use Object-Detection to Identify Materials and Tools for STEAM Hands-on Activity.

Hsin-Yu Lee, Yu-Cheng Chien, Pei-Yu Chang, Danial Hooshyar, Yueh-Min Huang

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.

YeongWook Yang, Danial Hooshyar, Margus Pedaste, Minhong Wang, Yueh-Min Huang, Heuiseok Lim

Soft Comput., 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

Integrating breakdown detection into dialogue systems to improve knowledge management: encoding temporal utterances with memory attention.

Seolhwa Lee, Dongyub Lee, Danial Hooshyar, Jaechoon Jo, Heuiseok Lim

Inf. Technol. Manag., 2020

Mining Educational Data to Predict Students' Performance through Procrastination Behavior.

Danial Hooshyar, Margus Pedaste, YeongWook Yang

Entropy, 2020

Open learner models in supporting self-regulated learning in higher education: A systematic literature review.

Danial Hooshyar, Margus Pedaste, Katrin Saks, Äli Leijen, Emanuele Bardone, Minhong Wang

Comput. Educ., 2020

Clustering Algorithms in an Educational Context: An Automatic Comparative Approach.

Danial Hooshyar, YeongWook Yang, Margus Pedaste, Yueh-Min Huang

IEEE Access, 2020

Transparent Player Model: Adaptive Visualization of Learner Model in Educational Games.

Danial Hooshyar, Emanuele Bardone, Nour El Mawas, YeongWook Yang

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.

Liina Malva, Danial Hooshyar, YeongWook Yang, Margus Pedaste

Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

Theorising the Open Learner Model as an educational tool: An Open Challenge.

Emanuele Bardone, Danial Hooshyar, Margus Pedaste

Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

Effects of Adaptive Educational Games on Adults' Computational Thinking.

Nour El Mawas, Danial Hooshyar, YeongWook Yang

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.

Nour El Mawas, Danial Hooshyar, YeongWook Yang

Proceedings of the 12th International Conference on Computer Supported Education, 2020

2019

SmartSenior: Automatic Content Personalization Through Semi-supervised Learning.

Heuiseok Lim, Danial Hooshyar, Hyesung Ji, SeolHwa Lee, Jaechoon Jo

Wirel. Pers. Commun., 2019

A semantic-based video scene segmentation using a deep neural network.

Hyesung Ji, Danial Hooshyar, Kuekyeng Kim, Heuiseok Lim

J. Inf. Sci., 2019

GPS: Factorized group preference-based similarity models for sparse sequential recommendation.

YeongWook Yang, Danial Hooshyar, Heuiseok Lim

Inf. Sci., 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

The potential of open learner models to promote active thinking by enhancing self-regulated learning in online higher education learning environments.

Danial Hooshyar, Külli Kori, Margus Pedaste, Emanuele Bardone

Br. J. Educ. Technol., 2019

A systematic review of data-driven approaches in player modeling of educational games.

Danial Hooshyar, Moslem Yousefi, Heuiseok Lim

Artif. Intell. Rev., 2019

AutoThinking: An Adaptive Computational Thinking Game.

Danial Hooshyar, Heuiseok Lim, Margus Pedaste, Kisu Yang, Moein Fathi, YeongWook Yang

Proceedings of the Innovative Technologies and Learning - Second International Conference, 2019

2018

Developing a hybrid collaborative filtering recommendation system with opinion mining on purchase review.

Youdong Yun, Danial Hooshyar, Jaechoon Jo, Heuiseok Lim

J. Inf. Sci., 2018

A data-driven procedural-content-generation approach for educational games.

Danial Hooshyar, Moslem Yousefi, Minhong Wang, Heuiseok Lim

J. Comput. Assist. Learn., 2018

Data-Driven Approaches to Game Player Modeling: A Systematic Literature Review.

Danial Hooshyar, Moslem Yousefi, Heuiseok Lim

ACM Comput. Surv., 2018

Mining biometric data to predict programmer expertise and task difficulty.

SeolHwa Lee, Danial Hooshyar, Hyesung Ji, Kichun Nam, Heuiseok Lim

Clust. Comput., 2018

2016

Applying an online game-based formative assessment in a flowchart-based intelligent tutoring system for improving problem-solving skills.

Danial Hooshyar, Rodina Binti Ahmad, Moslem Yousefi, Moein Fathi, Shi-Jinn Horng, Heuiseok Lim

Comput. Educ., 2016

Comparing Programming Language Comprehension between Novice and Expert Programmers Using EEG Analysis.

SeolHwa Lee, Andrew Matteson, Danial Hooshyar, SongHyun Kim, JaeBum Jung, GiChun Nam, Heuiseok Lim

Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016

2015

A flowchart-based intelligent tutoring system for improving problem-solving skills of novice programmers.

Danial Hooshyar, Rodina Binti Ahmad, Moslem Yousefi, Farrah Dina Yusop, Shi-Jinn Horng

J. Comput. Assist. Learn., 2015

Flowchart-based programming environments for improving comprehension and problem-solving skill of novice programmers: a survey.

Danial Hooshyar, Rodina Binti Ahmad, Mohd Hairul Nizam Md. Nasir, Shahaboddin Shamshirband, Shi-Jinn Horng

Int. J. Adv. Intell. Paradigms, 2015

2014

A framework for automatic text-to-flowchart conversion: A novel teaching aid for novice programmers.

Danial Hooshyar, Rodina Binti Ahmad, Mohd Hairul Nizam Bin Md Nasir

Proceedings of the 2014 International Conference on Computer, 2014