Danial Hooshyar

50 papers B 2C 1Misc 1Journal 37Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Wrists and Pockets to Interventions: Leveraging Digital Biomarkers to Infer Psychosocial Factors - A Systematic Review. ACM Trans. Comput. Heal. Aishah Shah, Danial Hooshyar, Vladimir Tomberg
2025	—	`conf`	Exploring the Impact of Quizzes Interleaved with Write-Code Tasks in Elementary-Level Visual Programming. SIGCSE (1) Ahana Ghosh, Liina Malva, Alkis Gotovos, Danial Hooshyar, Adish Singla
2025	—	`conf`	Human-Centered AI for Predicting Critical Thinking: Modeling Learners' Application of Reasoning Standards with Bayesian Networks. ECCE Juri Mets, Danial Hooshyar, Merja Bauters
2025	Misc	`conf`	Measuring (meta)emotion, (meta)motivation, and (meta)cognition using digital trace data: A systematic review of K-12 self-regulated learning. SAC Kaja Toomla, Xiaojing Weng, Eve Kikas, Elina Malleus-Kotsegarov, Kati Aus, Roger Azevedo, Danial Hooshyar
2025	J	`jnl`	Predicting Course Grades Through Comprehensive Modeling of Students' Learning Behavioral Patterns. Complex. Danial Hooshyar, Yeongwook Yang
2025	J	`jnl`	Problems With Large Language Models for Learner Modelling: Why LLMs Alone Fall Short for Responsible Tutoring in K-12 Education. CoRR Danial Hooshyar, Yeongwook Yang, Gustav Sír, Tommi Kärkkäinen, Raija Hämäläinen, Mutlu Cukurova, Roger Azevedo
2025	J	`jnl`	The Right Kind of Help: Evaluating the Effectiveness of Intervention Methods in Elementary-Level Visual Programming. CoRR Ahana Ghosh, Liina Malva, Alkis Gotovos, Danial Hooshyar, Adish Singla
2025	J	`jnl`	Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods. CoRR Danial Hooshyar, Eve Kikas, Yeongwook Yang, Gustav Sír, Raija Hämäläinen, Tommi Kärkkäinen, Roger Azevedo
2025	J	`jnl`	Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room. CoRR Danial Hooshyar, Gustav Sír, Yeongwook Yang, Eve Kikas, Raija Hämäläinen, Tommi Kärkkäinen, Dragan Gasevic, Roger Azevedo
2025	J	`jnl`	Towards responsible AI for education: Hybrid human-AI to confront the elephant in the room. Comput. Educ. Artif. Intell. Danial Hooshyar, Gustav Sír, Yeongwook Yang, Eve Kikas, Raija Hämäläinen, Tommi Kärkkäinen, Dragan Gasevic, Roger Azevedo
2024	J	`jnl`	Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education. Mach. Learn. Knowl. Extr. Danial Hooshyar, Roger Azevedo, Yeongwook Yang
2024	J	`jnl`	Exploring the Impact of Quizzes Interleaved with Write-Code Tasks in Elementary-Level Visual Programming. CoRR Ahana Ghosh, Liina Malva, Alkis Gotovos, Danial Hooshyar, Adish Singla
2024	J	`jnl`	ImageLM: Interpretable image-based learner modelling for classifying learners' computational thinking. Expert Syst. Appl. Danial Hooshyar, Yeongwook Yang
2024	J	`jnl`	Problems With SHAP and LIME in Interpretable AI for Education: A Comparative Study of Post-Hoc Explanations and Neural-Symbolic Rule Extraction. IEEE Access Danial Hooshyar, Yeongwook Yang
2024	J	`jnl`	Temporal learner modelling through integration of neural and symbolic architectures. Educ. Inf. Technol. Danial Hooshyar
2024	J	`jnl`	The effectiveness of personalized technology-enhanced learning in higher education: A meta-analysis with association rule mining. Comput. Educ. Danial Hooshyar, Xiaojing Weng, Paula Joanna Sillat, Kairit Tammets, Minhong Wang, Raija Hämäläinen
2023	J	`jnl`	Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education. CoRR Danial Hooshyar, Roger Azevedo, Yeongwook Yang
2023	J	`jnl`	Modeling Learners to Early Predict Their Performance in Educational Computer Games. IEEE Access Danial Hooshyar, Nour El Mawas, Marcelo Milrad, Yeongwook Yang
2022	J	`jnl`	Effects of technology-enhanced learning approaches on learners with different prior learning attitudes and knowledge in computational thinking. Comput. Appl. Eng. Educ. Danial Hooshyar
2022	—	`conf`	Exploring the Relationship Between Learning Achievement and Discussion Records in Remote Maker Activities. ICITL Yu-Cheng Chien, Pei-Yu Cheng, Lin-Tao Csui, Yeongwook Yang, Danial Hooshyar, Yueh-Min Huang
2022	J	`jnl`	GameDKT: Deep knowledge tracing in educational games. Expert Syst. Appl. Danial Hooshyar, Yueh-Min Huang, Yeongwook Yang
2021	J	`jnl`	An adaptive educational computer game: Effects on students' knowledge and learning attitude in computational thinking. Comput. Hum. Behav. Danial Hooshyar, Liina Malva, Yeongwook Yang, Margus Pedaste, Minhong Wang, Heuiseok Lim
2021	—	`conf`	Use Object-Detection to Identify Materials and Tools for STEAM Hands-on Activity. ICITL Hsin-Yu Lee, Yu-Cheng Chien, Pei-Yu Chang, Danial Hooshyar, Yueh-Min Huang
2020	J	`jnl`	A group preference-based item similarity model: comparison of clustering techniques in ambient and context-aware recommender systems. J. Ambient Intell. Humaniz. Comput. Yeongwook Yang, Danial Hooshyar, Jaechoon Jo, Heuiseok Lim
2020	J	`jnl`	Clustering Algorithms in an Educational Context: An Automatic Comparative Approach. IEEE Access Danial Hooshyar, Yeongwook Yang, Margus Pedaste, Yueh-Min Huang
2020	—	`conf`	Effects of Adaptive Educational Games on Adults' Computational Thinking. CSEDU (Selected Papers) Nour El Mawas, Danial Hooshyar, Yeongwook Yang
2020	B	`conf`	Engaging Estonian primary school children in computational thinking through adaptive educational games: A qualitative study. ICALT Liina Malva, Danial Hooshyar, Yeongwook Yang, Margus Pedaste
2020	J	`jnl`	Integrating breakdown detection into dialogue systems to improve knowledge management: encoding temporal utterances with memory attention. Inf. Technol. Manag. Seolhwa Lee, Dongyub Lee, Danial Hooshyar, Jaechoon Jo, Heuiseok Lim
2020	—	`conf`	Investigating the Learning Impact of Autothinking Educational Game on Adults: A Case Study of France. CSEDU (2) Nour El Mawas, Danial Hooshyar, Yeongwook Yang
2020	J	`jnl`	Mining Educational Data to Predict Students' Performance through Procrastination Behavior. Entropy Danial Hooshyar, Margus Pedaste, Yeongwook Yang
2020	J	`jnl`	Open learner models in supporting self-regulated learning in higher education: A systematic literature review. Comput. Educ. Danial Hooshyar, Margus Pedaste, Katrin Saks, Äli Leijen, Emanuele Bardone, Minhong Wang
2020	J	`jnl`	Predicting course achievement of university students based on their procrastination behaviour on Moodle. Soft Comput. Yeongwook Yang, Danial Hooshyar, Margus Pedaste, Minhong Wang, Yueh-Min Huang, Heuiseok Lim
2020	B	`conf`	Theorising the Open Learner Model as an educational tool: An Open Challenge. ICALT Emanuele Bardone, Danial Hooshyar, Margus Pedaste
2020	—	`conf`	Transparent Player Model: Adaptive Visualization of Learner Model in Educational Games. ICITL Danial Hooshyar, Emanuele Bardone, Nour El Mawas, Yeongwook Yang
2019	J	`jnl`	A semantic-based video scene segmentation using a deep neural network. J. Inf. Sci. Hyesung Ji, Danial Hooshyar, Kuekyeng Kim, Heuiseok Lim
2019	J	`jnl`	A systematic review of data-driven approaches in player modeling of educational games. Artif. Intell. Rev. Danial Hooshyar, Moslem Yousefi, Heuiseok Lim
2019	—	`conf`	AutoThinking: An Adaptive Computational Thinking Game. ICITL Danial Hooshyar, Heuiseok Lim, Margus Pedaste, Kisu Yang, Moein Fathi, Yeongwook Yang
2019	J	`jnl`	GPS: Factorized group preference-based similarity models for sparse sequential recommendation. Inf. Sci. Yeongwook Yang, Danial Hooshyar, Heuiseok Lim
2019	J	`jnl`	Long-term effects of adaptive customization support on elderly people. Cogn. Technol. Work. Danial Hooshyar, Seolhwa Lee, Yeongwook Yang, Jaechoon Jo, Heuiseok Lim
2019	J	`jnl`	SmartSenior: Automatic Content Personalization Through Semi-supervised Learning. Wirel. Pers. Commun. Heuiseok Lim, Danial Hooshyar, Hyesung Ji, Seolhwa Lee, Jaechoon Jo
2019	J	`jnl`	The potential of open learner models to promote active thinking by enhancing self-regulated learning in online higher education learning environments. Br. J. Educ. Technol. Danial Hooshyar, Külli Kori, Margus Pedaste, Emanuele Bardone
2018	J	`jnl`	A data-driven procedural-content-generation approach for educational games. J. Comput. Assist. Learn. Danial Hooshyar, Moslem Yousefi, Minhong Wang, Heuiseok Lim
2018	J	`jnl`	Data-Driven Approaches to Game Player Modeling: A Systematic Literature Review. ACM Comput. Surv. Danial Hooshyar, Moslem Yousefi, Heuiseok Lim
2018	J	`jnl`	Developing a hybrid collaborative filtering recommendation system with opinion mining on purchase review. J. Inf. Sci. Youdong Yun, Danial Hooshyar, Jaechoon Jo, Heuiseok Lim
2018	J	`jnl`	Mining biometric data to predict programmer expertise and task difficulty. Clust. Comput. Seolhwa Lee, Danial Hooshyar, Hyesung Ji, Kichun Nam, Heuiseok Lim
2016	J	`jnl`	Applying an online game-based formative assessment in a flowchart-based intelligent tutoring system for improving problem-solving skills. Comput. Educ. Danial Hooshyar, Rodina Binti Ahmad, Moslem Yousefi, Moein Fathi, Shi-Jinn Horng, Heuiseok Lim
2016	C	`conf`	Comparing Programming Language Comprehension between Novice and Expert Programmers Using EEG Analysis. BIBE Seolhwa Lee, Andrew Matteson, Danial Hooshyar, Songhyun Kim, Jaebum Jung, GiChun Nam, Heuiseok Lim
2015	J	`jnl`	A flowchart-based intelligent tutoring system for improving problem-solving skills of novice programmers. J. Comput. Assist. Learn. Danial Hooshyar, Rodina Binti Ahmad, Moslem Yousefi, Farrah Dina Yusop, Shi-Jinn Horng
2015	J	`jnl`	Flowchart-based programming environments for improving comprehension and problem-solving skill of novice programmers: a survey. Int. J. Adv. Intell. Paradigms Danial Hooshyar, Rodina Binti Ahmad, Mohd Hairul Nizam Md. Nasir, Shahaboddin Shamshirband, Shi-Jinn Horng
2014	—	`conf`	A framework for automatic text-to-flowchart conversion: A novel teaching aid for novice programmers. IC3INA Danial Hooshyar, Rodina Binti Ahmad, Mohd Hairul Nizam Bin Md Nasir