Danial Hooshyar

According to our database1, Danial Hooshyar authored at least 27 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


Predicting Course Grade through Comprehensive Modelling of Students' Learning Behavioral Pattern.
Complex., 2021

An adaptive educational computer game: Effects on students' knowledge and learning attitude in computational thinking.
Comput. Hum. Behav., 2021

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

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

Theorising the Open Learner Model as an educational tool: An Open Challenge.
Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 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

SmartSenior: Automatic Content Personalization Through Semi-supervised Learning.
Wirel. Pers. Commun., 2019

A semantic-based video scene segmentation using a deep neural network.
J. Inf. Sci., 2019

GPS: Factorized group preference-based similarity models for sparse sequential recommendation.
Inf. Sci., 2019

Long-term effects of adaptive customization support on elderly people.
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

AutoThinking: An Adaptive Computational Thinking Game.
Proceedings of the Innovative Technologies and Learning - Second International Conference, 2019

Developing a hybrid collaborative filtering recommendation system with opinion mining on purchase review.
J. Inf. Sci., 2018

A data-driven procedural-content-generation approach for educational games.
J. Comput. Assist. Learn., 2018

Data-Driven Approaches to Game Player Modeling: A Systematic Literature Review.
ACM Comput. Surv., 2018

Mining biometric data to predict programmer expertise and task difficulty.
Clust. Comput., 2018

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

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