Danial Hooshyar
Orcid: 0000-0002-9143-6648
According to our database1,
Danial Hooshyar
authored at least 39 papers
between 2014 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
Educ. Inf. Technol., January, 2024
The effectiveness of personalized technology-enhanced learning in higher education: A meta-analysis with association rule mining.
Comput. Educ., 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
Augmenting deep neural networks with symbolic knowledge: Towards trustworthy and interpretable AI for education.
CoRR, 2023
IEEE Access, 2023
2022
Effects of technology-enhanced learning approaches on learners with different prior learning attitudes and knowledge in computational thinking.
Comput. Appl. Eng. Educ., 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
An adaptive educational computer game: Effects on students' knowledge and learning attitude in computational thinking.
Comput. Hum. Behav., 2021
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
Integrating breakdown detection into dialogue systems to improve knowledge management: encoding temporal utterances with memory attention.
Inf. Technol. Manag., 2020
Mining Educational Data to Predict Students' Performance through Procrastination Behavior.
Entropy, 2020
Open learner models in supporting self-regulated learning in higher education: A systematic literature review.
Comput. Educ., 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 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
Wirel. Pers. Commun., 2019
J. Inf. Sci., 2019
GPS: Factorized group preference-based similarity models for sparse sequential recommendation.
Inf. Sci., 2019
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.
Br. J. Educ. Technol., 2019
A systematic review of data-driven approaches in player modeling of educational games.
Artif. Intell. Rev., 2019
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.
J. Inf. Sci., 2018
J. Comput. Assist. Learn., 2018
ACM Comput. Surv., 2018
Clust. Comput., 2018
2016
Applying an online game-based formative assessment in a flowchart-based intelligent tutoring system for improving problem-solving skills.
Comput. Educ., 2016
Comparing Programming Language Comprehension between Novice and Expert Programmers Using EEG Analysis.
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.
J. Comput. Assist. Learn., 2015
Flowchart-based programming environments for improving comprehension and problem-solving skill of novice programmers: a survey.
Int. J. Adv. Intell. Paradigms, 2015
2014
A framework for automatic text-to-flowchart conversion: A novel teaching aid for novice programmers.
Proceedings of the 2014 International Conference on Computer, 2014