Hassan Khosravi

According to our database, Hassan Khosravi authored at least 76 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Sparse feature selection using hypergraph Laplacian-based semi-supervised discriminant analysis.

Razieh Sheikhpour, Kamal Berahmand, Mehrnoush Mohammadi, Hassan Khosravi

Pattern Recognit., 2025

Robust semi-supervised multi-label feature selection based on shared subspace and manifold learning.

Razieh Sheikhpour, Mehrnoush Mohammadi, Kamal Berahmand, Farid Saberi-Movahed, Hassan Khosravi

Inf. Sci., 2025

2024

Impact of AI assistance on student agency.

Ali Darvishi, Hassan Khosravi, Shazia Sadiq, Dragan Gasevic, George Siemens

Comput. Educ., March, 2024

Prediction of hourly PM₁₀ concentration through a hybrid deep learning-based method.

Sahar Nasabpour Molaei, Ali Salajegheh, Hassan Khosravi, Amin Nasiri, Abbas Ranjbar Saadat Abadi

Earth Sci. Informatics, February, 2024

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions.

Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf

Inf. Fusion, 2024

Emotionally Enriched Feedback via Generative AI.

Omar Alsaiari, Nilufar Baghaei, Hatim Lahza, Jason M. Lodge, Marie Bodén, Hassan Khosravi

CoRR, 2024

How critically can an AI think? A framework for evaluating the quality of thinking of generative artificial intelligence.

Luke Zaphir, Jason M. Lodge, Jacinta Lisec, Dom McGrath, Hassan Khosravi

CoRR, 2024

Large Language Models Meet User Interfaces: The Case of Provisioning Feedback.

Stanislav Pozdniakov, Jonathan Brazil, Solmaz Abdi, Aneesha Bakharia, Shazia Sadiq, Dragan Gasevic, Paul Denny, Hassan Khosravi

CoRR, 2024

Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop.

Steven Moore, Anjali Singh, Xinyi Lu, Hyoungwook Jin, Hassan Khosravi, Paul Denny, Christopher Brooks, Xu Wang, Juho Kim, John C. Stamper

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Navigating (Dis)agreement: AI Assistance to Uncover Peer Feedback Discrepancies.

M. Parvez Rashid, Edward F. Gehringer, Hassan Khosravi

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023

Assessing the Quality of Student-Generated Content at Scale: A Comparative Analysis of Peer-Review Models.

Ali Darvishi, Hassan Khosravi, Afshin Rahimi, Shazia Sadiq, Dragan Gasevic

IEEE Trans. Learn. Technol., February, 2023

Analytics of learning tactics and strategies in an online learnersourcing environment.

Hatim Lahza, Hassan Khosravi, Gianluca Demartini

J. Comput. Assist. Learn., February, 2023

Beyond item analysis: Connecting student behaviour and performance using e-assessment logs.

Hatim Lahza, Tammy G. Smith, Hassan Khosravi

Br. J. Educ. Technol., January, 2023

Generative AI and Learning Analytics.

Hassan Khosravi, Olga Viberg, Vitomir Kovanovic, Rebecca Ferguson

J. Learn. Anal., 2023

Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach.

Rebecca Ferguson, Hassan Khosravi, Vitomir Kovanovic, Olga Viberg, Ashish Aggarwal, Matthieu J. S. Brinkhuis, Simon Buckingham Shum, Lujie Karen Chen, Hendrik Drachsler, Valerie A. Guerrero, Michael Hanses, Caitlin Hayward, Ben Hicks, Ioana Jivet, Kirsty Kitto, René F. Kizilcec, Jason M. Lodge, Catherine A. Manly, Rebecca L. Matz, Michael Meaney, Xavier Ochoa, Brendan A. Schuetze, Marco Spruit, Max van Haastrecht, Anouschka van Leeuwen, Lars Van Rijn, Yi-Shan Tsai, Joshua Weidlich, Kimberly Williamson, Veronica X. Yan

J. Learn. Anal., 2023

Human vs Machine: Comparison of Student-generated and AI-generated Educational Content.

Paul Denny, Hassan Khosravi, Arto Hellas, Juho Leinonen, Sami Sarsa

CoRR, 2023

Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education.

Yuheng Li, Mladen Rakovic, Wei Dai, Jionghao Lin, Hassan Khosravi, Kirsten Galbraith, Kayley M. Lyons, Dragan Gasevic, Guanliang Chen

Comput. Educ. Artif. Intell., 2023

Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation.

Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper

Comput. Educ. Artif. Intell., 2023

Learner-centred Analytics of Feedback Content in Higher Education.

Jionghao Lin, Wei Dai, Lisa-Angelique Lim, Yi-Shan Tsai, Rafael Ferreira Mello, Hassan Khosravi, Dragan Gasevic, Guanliang Chen

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

A Regression Analysis Approach for Feature Selection in Student Achievement Data.

Ahmed M. ElMassry, Abdulla Alshamsi, Ahmed F. Abdulhameed, Mohamed A. Sharaf, Nazar Zaki, Hassan Khosravi

Proceedings of the 15th International Conference on Innovations in Information Technology, 2023

Empowering Education with LLMs - The Next-Gen Interface and Content Generation.

Steven Moore, Richard Jiarui Tong, Anjali Singh, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Chen Cao, Hassan Khosravi, Paul Denny, Christopher Brooks, John C. Stamper

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Information Resilience: the nexus of responsible and agile approaches to information use.

Shazia Sadiq, Amir Aryani, Gianluca Demartini, Wen Hua, Marta Indulska, Andrew Burton-Jones, Hassan Khosravi, Diana Benavides Prado, Timos Sellis, Ida Asadi Someh, Rhema Vaithianathan, Sen Wang, Xiaofang Zhou

VLDB J., 2022

Assessment in the age of artificial intelligence.

Zachari Swiecki, Hassan Khosravi, Guanliang Chen, Roberto Martínez Maldonado, Jason M. Lodge, Sandra Milligan, Neil Selwyn, Dragan Gasevic

Comput. Educ. Artif. Intell., 2022

Explainable Artificial Intelligence in education.

Hassan Khosravi, Simon Buckingham Shum, Guanliang Chen, Cristina Conati, Yi-Shan Tsai, Judy Kay, Simon Knight, Roberto Martínez Maldonado, Shazia Sadiq, Dragan Gasevic

Comput. Educ. Artif. Intell., 2022

Incorporating AI and learning analytics to build trustworthy peer assessment systems.

Ali Darvishi, Hassan Khosravi, Shazia Sadiq, Dragan Gasevic

Br. J. Educ. Technol., 2022

Neurophysiological Measurements in Higher Education: A Systematic Literature Review.

Ali Darvishi, Hassan Khosravi, Shazia Sadiq, Barbara Weber

Int. J. Artif. Intell. Educ., 2022

Incorporating Explainable Learning Analytics to Assist Educators with Identifying Students in Need of Attention.

Shiva Shabaninejad, Hassan Khosravi, Solmaz Abdi, Marta Indulska, Shazia Sadiq

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Learnersourcing: Student-generated Content @ Scale.

Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Incorporating Training, Self-monitoring and AI-Assistance to Improve Peer Feedback Quality.

Ali Darvishi, Hassan Khosravi, Solmaz Abdi, Shazia Sadiq, Dragan Gasevic

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

Effects of Technological Interventions for Self-regulation: A Control Experiment in Learnersourcing.

Hatim Lahza, Hassan Khosravi, Gianluca Demartini, Dragan Gasevic

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Incorporating AI and Analytics to Derive Insights from E-exam Logs.

Hatim Lahza, Hassan Khosravi, Gianluca Demartini

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Intelligent Learning Analytics Dashboards: Automated Drill-Down Recommendations to Support Teacher Data Exploration.

Hassan Khosravi, Shiva Shabaninejad, Aneesha Bakharia, Shazia Sadiq, Marta Indulska, Dragan Gasevic

J. Learn. Anal., November, 2021

Bridging the Gap Between Theory and Empirical Research in Evaluative Judgment.

Hassan Khosravi, George Gyamfi, Barbara E. Hanna, Jason M. Lodge, Solmaz Abdi

J. Learn. Anal., November, 2021

Evaluating the Quality of Learning Resources: A Learnersourcing Approach.

Solmaz Abdi, Hassan Khosravi, Shazia Sadiq, Gianluca Demartini

IEEE Trans. Learn. Technol., 2021

Machine learning approach to predict susceptible growth regions of <i>Moringa</i> peregrina (Forssk).

Ehsan Moradi, Mahsa Abdolshahnejad, Moslem Borji Hassangavyar, Ghasem Ghoohestani, Alexandre Marco da Silva, Hassan Khosravi, Artemi Cerdà

Ecol. Informatics, 2021

Employing Peer Review to Evaluate the Quality of Student Generated Content at Scale: A Trust Propagation Approach.

Ali Darvishi, Hassan Khosravi, Shazia Sadiq

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Charting the Design and Analytics Agenda of Learnersourcing Systems.

Hassan Khosravi, Gianluca Demartini, Shazia Sadiq, Dragan Gasevic

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Modelling Learners in Adaptive Educational Systems: A Multivariate Glicko-based Approach.

Solmaz Abdi, Hassan Khosravi, Shazia Sadiq

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Open Learner Models for Multi-activity Educational Systems.

Solmaz Abdi, Hassan Khosravi, Shazia Sadiq, Ali Darvishi

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

Development and Adoption of an Adaptive Learning System: Reflections and Lessons Learned.

Hassan Khosravi, Shazia Sadiq, Dragan Gasevic

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Automated insightful drill-down recommendations for learning analytics dashboards.

Shiva Shabaninejad, Hassan Khosravi, Marta Indulska, Aneesha Bakharia, Pedro T. Isaías

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Fostering and supporting empirical research on evaluative judgement via a crowdsourced adaptive learning system.

Hassan Khosravi, George Gyamii, Barbara E. Hanna, Jason M. Lodge

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Complementing educational recommender systems with open learner models.

Solmaz Abdi, Hassan Khosravi, Shazia Sadiq, Dragan Gasevic

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Identifying Cohorts that Differ in their Behaviour: Tool Support.

Sander J. J. Leemans, Shiva Shabaninejad, Kanika Goel, Hassan Khosravi, Shazia Sadiq, Moe Thandar Wynn

Proceedings of the ER Forum, 2020

Identifying Cohorts: Recommending Drill-Downs Based on Differences in Behaviour for Process Mining.

Sander J. J. Leemans, Shiva Shabaninejad, Kanika Goel, Hassan Khosravi, Shazia Sadiq, Moe Thandar Wynn

Proceedings of the Conceptual Modeling - 39th International Conference, 2020

Utilising Learnersourcing to Inform Design Loop Adaptivity.

Ali Darvishi, Hassan Khosravi, Shazia Sadiq

Proceedings of the Addressing Global Challenges and Quality Education, 2020

Recommending Insightful Drill-Downs Based on Learning Processes for Learning Analytics Dashboards.

Shiva Shabaninejad, Hassan Khosravi, Sander J. J. Leemans, Shazia Sadiq, Marta Indulska

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Modelling Learners in Crowdsourcing Educational Systems.

Solmaz Abdi, Hassan Khosravi, Shazia Sadiq

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities.

Hassan Khosravi, Kirsty Kitto, Joseph Jay Williams

J. Learn. Anal., December, 2019

Multilevel Visualisation of Topic Dependency Modelsfor Assessment Design and Delivery: A Hypergraph Based Approach.

Kendra M. L. Cooper, Hassan Khosravi

J. Vis. Lang. Comput., 2019

Multilevel Visualisation of Topic Dependency Models for Assessment Design and Delivery: A Hypergraph Based Approach.

Kendra M. L. Cooper, Hassan Khosravi

CoRR, 2019

A Multivariate ELO-based Learner Model for Adaptive Educational Systems.

Solmaz Abdi, Hassan Khosravi, Shazia Sadiq, Dragan Gasevic

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Multilevel Topic Dependency Models for Assessment Design and Delivery: A Hypergraph Based Approach.

Kendra M. L. Cooper, Hassan Khosravi

Proceedings of the 25th International DMS Conference on Visualization and Visual Languages, 2019

2018

Topic Dependency Models: Graph-Based Visual Analytics for Communicating Assessment Data.

Hassan Khosravi, Kendra M. L. Cooper

J. Learn. Anal., November, 2018

Reciprocal peer recommendation for learning purposes.

Boyd A. Potts, Hassan Khosravi, Carl Reidsema, Aneesha Bakharia, Mark Belonogoff, Melanie Fleming

Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Graph-based visual topic dependency models: supporting assessment design and delivery at scale.

Kendra M. L. Cooper, Hassan Khosravi

Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Reciprocal Content Recommendation for Peer Learning Study Sessions.

Boyd A. Potts, Hassan Khosravi, Carl Reidsema

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

Recommendation in Personalised Peer-Learning Environments.

Hassan Khosravi

CoRR, 2017

Using Learning Analytics to Investigate Patterns of Performance and Engagement in Large Classes.

Hassan Khosravi, Kendra M. L. Cooper

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests.

Hassan Khosravi, Kendra M. L. Cooper, Kirsty Kitto

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2015

Existence of solutions of functional integral equations of convolution type using a new construction of a measure of noncompactness on Lp(R₊).

Hassan Khosravi, Reza Allahyari, Ali Shole Haghighi

Appl. Math. Comput., 2015

2014

Modelling relational statistics with Bayes Nets.

Oliver Schulte, Hassan Khosravi, Arthur E. Kirkpatrick, Tianxiang Gao, Yuke Zhu

Mach. Learn., 2014

2013

Transaction-based link strength prediction in a social network.

Hassan Khosravi, Ali Bozorgkhan, Oliver Schulte

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012

Learning directed relational models with recursive dependencies.

Oliver Schulte, Hassan Khosravi, Tong Man

Mach. Learn., 2012

Learning graphical models for relational data via lattice search.

Oliver Schulte, Hassan Khosravi

Mach. Learn., 2012

Learning compact Markov logic networks with decision trees.

Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao

Mach. Learn., 2012

Random Regression for Bayes Nets Applied to Relational Data.

Oliver Schulte, Hassan Khosravi, Tianxiang Gao, Yuke Zhu

Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

Fast Parameter Learning for Markov Logic Networks Using Bayes Nets.

Hassan Khosravi

Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012

2010

The IMAP Hybrid Method for Learning Gaussian Bayes Nets.

Oliver Schulte, Gustavo Frigo, Russell Greiner, Hassan Khosravi

Proceedings of the Advances in Artificial Intelligence, 2010

A Survey on Statistical Relational Learning.

Hassan Khosravi, Bahareh Bina

Proceedings of the Advances in Artificial Intelligence, 2010

Structure Learning for Markov Logic Networks with Many Descriptive Attributes.

Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyuan Xu, Bahareh Bina

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

LNBC: A Link-Based Naive Bayes Classifier.

Bahareh Bina, Oliver Schulte, Hassan Khosravi

Proceedings of the ICDM Workshops 2009, 2009

A new hybrid method for Bayesian network learning With dependency constraints.

Oliver Schulte, Gustavo Frigo, Russell Greiner, Wei Luo, Hassan Khosravi

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

Exploratory Analysis of Co-Change Graphs for Code Refactoring.

Hassan Khosravi, Recep Colak

Proceedings of the Advances in Artificial Intelligence, 2009

2008

Join Bayes Nets: A new type of Bayes net for relational data

Oliver Schulte, Hassan Khosravi, Flavia Moser, Martin Ester

CoRR, 2008

TACtic- A Multi Behavioral Agent for Trading Agent Competition.

Hassan Khosravi, Mohammad E. Shiri, Hamid Khosravi, Ehsan Iranmanesh, Alireza Davoodi

Proceedings of the Advances in Computer Science and Engineering, 2008