Hassan Khosravi

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 62

Top Topics

Learning Environment

Learning Analytics

Top Venues

J. Learn. Anal.

Publications

M. Parvez Rashid, Edward F. Gehringer, Hassan Khosravi
Navigating (Dis)agreement: AI Assistance to Uncover Peer Feedback Discrepancies. LAK (2024)
Sahar Nasabpour Molaei, Ali Salajegheh, Hassan Khosravi, Amin Nasiri, Abbas Ranjbar Saadat Abadi
concentration through a hybrid deep learning-based method. Earth Sci. Informatics 17 (1) (2024)
Luke Zaphir, Jason M. Lodge, Jacinta Lisec, Dom McGrath, Hassan Khosravi
How critically can an AI think? A framework for evaluating the quality of thinking of generative artificial intelligence. CoRR (2024)
Stanislav Pozdniakov, Jonathan Brazil, Solmaz Abdi, Aneesha Bakharia, Shazia Sadiq, Dragan Gasevic, Paul Denny, Hassan Khosravi
Large Language Models Meet User Interfaces: The Case of Provisioning Feedback. CoRR (2024)
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
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion 106 (2024)
Ali Darvishi, Hassan Khosravi, Shazia Wasim Sadiq, Dragan Gasevic, George Siemens
Impact of AI assistance on student agency. Comput. Educ. 210 (2024)
Steven Moore, Anjali Singh, Xinyi Lu, Hyoungwook Jin, Hassan Khosravi, Paul Denny, Christopher Brooks, Xu Wang, Juho Kim, John C. Stamper
Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop. L@S (2024)
Ali Darvishi, Hassan Khosravi, Afshin Rahimi, Shazia Sadiq, Dragan Gasevic
Assessing the Quality of Student-Generated Content at Scale: A Comparative Analysis of Peer-Review Models. IEEE Trans. Learn. Technol. 16 (1) (2023)
Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper
Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation. Comput. Educ. Artif. Intell. 5 (2023)
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
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR (2023)
Paul Denny, Hassan Khosravi, Arto Hellas, Juho Leinonen, Sami Sarsa
Human vs Machine: Comparison of Student-generated and AI-generated Educational Content. CoRR (2023)
Hassan Khosravi, Olga Viberg, Vitomir Kovanovic, Rebecca Ferguson
Generative AI and Learning Analytics. J. Learn. Anal. 10 (3) (2023)
Hatim Lahza, Tammy G. Smith, Hassan Khosravi
Beyond item analysis: Connecting student behaviour and performance using e-assessment logs. Br. J. Educ. Technol. 54 (1) (2023)
Ahmed M. ElMassry, Abdulla Alshamsi, Ahmed F. Abdulhameed, Mohamed A. Sharaf, Nazar Zaki, Hassan Khosravi
A Regression Analysis Approach for Feature Selection in Student Achievement Data. IIT (2023)
Jionghao Lin, Wei Dai, Lisa-Angelique Lim, Yi-Shan Tsai, Rafael Ferreira Mello, Hassan Khosravi, Dragan Gasevic, Guanliang Chen
Learner-centred Analytics of Feedback Content in Higher Education. LAK (2023)
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
Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach. J. Learn. Anal. 10 (2) (2023)
Hatim Lahza, Hassan Khosravi, Gianluca Demartini
Analytics of learning tactics and strategies in an online learnersourcing environment. J. Comput. Assist. Learn. 39 (1) (2023)
Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper
Learnersourcing in the Age of AI: Student, Educator and Machine Partnerships for Content Creation. CoRR (2023)
Steven Moore, Richard Tong, Anjali Singh, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Chen Cao, Hassan Khosravi, Paul Denny, Chris Brooks, John C. Stamper
Empowering Education with LLMs - The Next-Gen Interface and Content Generation. AIED (Posters/Late Breaking Results/...) (2023)
Shazia Wasim 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
Information Resilience: the nexus of responsible and agile approaches to information use. VLDB J. 31 (5) (2022)
Hatim Lahza, Hassan Khosravi, Gianluca Demartini
Incorporating AI and Analytics to Derive Insights from E-exam Logs. AIED (1) (2022)
Ali Darvishi, Hassan Khosravi, Shazia Wasim Sadiq, Dragan Gasevic
Incorporating AI and learning analytics to build trustworthy peer assessment systems. Br. J. Educ. Technol. 53 (4) (2022)
Hassan Khosravi, Simon Buckingham Shum, Guanliang Chen, Cristina Conati, Yi-Shan Tsai, Judy Kay, Simon Knight, Roberto Martínez Maldonado, Shazia Wasim Sadiq, Dragan Gasevic
Explainable Artificial Intelligence in education. Comput. Educ. Artif. Intell. 3 (2022)
Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi
Learnersourcing: Student-generated Content @ Scale. L@S (2022)
Ali Darvishi, Hassan Khosravi, Solmaz Abdi, Shazia W. Sadiq, Dragan Gasevic
Incorporating Training, Self-monitoring and AI-Assistance to Improve Peer Feedback Quality. L@S (2022)
Hatim Lahza, Hassan Khosravi, Gianluca Demartini, Dragan Gasevic
Effects of Technological Interventions for Self-regulation: A Control Experiment in Learnersourcing. LAK (2022)
Shiva Shabaninejad, Hassan Khosravi, Solmaz Abdi, Marta Indulska, Shazia W. Sadiq
Incorporating Explainable Learning Analytics to Assist Educators with Identifying Students in Need of Attention. L@S (2022)
Zachari Swiecki, Hassan Khosravi, Guanliang Chen, Roberto Martínez Maldonado, Jason M. Lodge, Sandra Milligan, Neil Selwyn, Dragan Gasevic
Assessment in the age of artificial intelligence. Comput. Educ. Artif. Intell. 3 (2022)
Ali Darvishi, Hassan Khosravi, Shazia W. Sadiq, Barbara Weber
Neurophysiological Measurements in Higher Education: A Systematic Literature Review. Int. J. Artif. Intell. Educ. 32 (2) (2022)
Hassan Khosravi, George Gyamfi, Barbara E. Hanna, Jason M. Lodge, Solmaz Abdi
Bridging the Gap Between Theory and Empirical Research in Evaluative Judgment. J. Learn. Anal. 8 (3) (2021)
Solmaz Abdi, Hassan Khosravi, Shazia Wasim Sadiq
Modelling Learners in Adaptive Educational Systems: A Multivariate Glicko-based Approach. LAK (2021)
Ehsan Moradi, Mahsa Abdolshahnejad, Moslem Borji Hassangavyar, Ghasem Ghoohestani, Alexandre Marco da Silva, Hassan Khosravi, Artemi Cerdà
peregrina (Forssk). Ecol. Informatics 62 (2021)
Solmaz Abdi, Hassan Khosravi, Shazia W. Sadiq, Gianluca Demartini
Evaluating the Quality of Learning Resources: A Learnersourcing Approach. IEEE Trans. Learn. Technol. 14 (1) (2021)
Solmaz Abdi, Hassan Khosravi, Shazia W. Sadiq, Ali Darvishi
Open Learner Models for Multi-activity Educational Systems. AIED (2) (2021)
Hassan Khosravi, Shiva Shabaninejad, Aneesha Bakharia, Shazia Wasim Sadiq, Marta Indulska, Dragan Gasevic
Intelligent Learning Analytics Dashboards: Automated Drill-Down Recommendations to Support Teacher Data Exploration. J. Learn. Anal. 8 (3) (2021)
Hassan Khosravi, Gianluca Demartini, Shazia W. Sadiq, Dragan Gasevic
Charting the Design and Analytics Agenda of Learnersourcing Systems. LAK (2021)
Ali Darvishi, Hassan Khosravi, Shazia W. Sadiq
Employing Peer Review to Evaluate the Quality of Student Generated Content at Scale: A Trust Propagation Approach. L@S (2021)
Shiva Shabaninejad, Hassan Khosravi, Marta Indulska, Aneesha Bakharia, Pedro T. Isaías
Automated insightful drill-down recommendations for learning analytics dashboards. LAK (2020)
Hassan Khosravi, George Gyamii, Barbara E. Hanna, Jason M. Lodge
Fostering and supporting empirical research on evaluative judgement via a crowdsourced adaptive learning system. LAK (2020)
Solmaz Abdi, Hassan Khosravi, Shazia W. Sadiq, Dragan Gasevic
Complementing educational recommender systems with open learner models. LAK (2020)
Sander J. J. Leemans, Shiva Shabaninejad, Kanika Goel, Hassan Khosravi, Shazia W. Sadiq, Moe Thandar Wynn
Identifying Cohorts that Differ in their Behaviour: Tool Support. ER Forum/Posters/Demos (2020)
Solmaz Abdi, Hassan Khosravi, Shazia W. Sadiq
Modelling Learners in Crowdsourcing Educational Systems. AIED (2) (2020)
Hassan Khosravi, Shazia Wasim Sadiq, Dragan Gasevic
Development and Adoption of an Adaptive Learning System: Reflections and Lessons Learned. SIGCSE (2020)
Ali Darvishi, Hassan Khosravi, Shazia Wasim Sadiq
Utilising Learnersourcing to Inform Design Loop Adaptivity. EC-TEL (2020)
Sander J. J. Leemans, Shiva Shabaninejad, Kanika Goel, Hassan Khosravi, Shazia W. Sadiq, Moe Thandar Wynn
Identifying Cohorts: Recommending Drill-Downs Based on Differences in Behaviour for Process Mining. ER (2020)
Shiva Shabaninejad, Hassan Khosravi, Sander J. J. Leemans, Shazia W. Sadiq, Marta Indulska
Recommending Insightful Drill-Downs Based on Learning Processes for Learning Analytics Dashboards. AIED (1) (2020)
Hassan Khosravi, Kirsty Kitto, Joseph Jay Williams
RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities. J. Learn. Anal. 6 (3) (2019)
Solmaz Abdi, Hassan Khosravi, Shazia Wasim Sadiq, Dragan Gasevic
A Multivariate Elo-based Learner Model for Adaptive Educational Systems. CoRR (2019)
Hassan Khosravi, Kirsty Kitto, Joseph Jay Williams
RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities. CoRR (2019)
Kendra M. L. Cooper, Hassan Khosravi
Multilevel Topic Dependency Models for Assessment Design and Delivery: A Hypergraph Based Approach. DMSVIVA (2019)
Kendra Cooperand, Hassan Khosravi
Multilevel Visualisation of Topic Dependency Modelsfor Assessment Design and Delivery: A Hypergraph Based Approach. J. Vis. Lang. Comput. 2019 (2) (2019)
Solmaz Abdi, Hassan Khosravi, Shazia W. Sadiq, Dragan Gasevic
A Multivariate ELO-based Learner Model for Adaptive Educational Systems. EDM (2019)
Kendra M. L. Cooper, Hassan Khosravi
Multilevel Visualisation of Topic Dependency Models for Assessment Design and Delivery: A Hypergraph Based Approach. CoRR (2019)
Boyd A. Potts, Hassan Khosravi, Carl Reidsema, Aneesha Bakharia, Mark Belonogoff, Melanie Fleming
Reciprocal peer recommendation for learning purposes. LAK (2018)
Hassan Khosravi, Kendra M. L. Cooper
Topic Dependency Models: Graph-Based Visual Analytics for Communicating Assessment Data. J. Learn. Anal. 5 (3) (2018)
Boyd A. Potts, Hassan Khosravi, Carl Reidsema
Reciprocal Content Recommendation for Peer Learning Study Sessions. AIED (1) (2018)
Kendra M. L. Cooper, Hassan Khosravi
Graph-based visual topic dependency models: supporting assessment design and delivery at scale. LAK (2018)
Hassan Khosravi, Kendra M. L. Cooper
Using Learning Analytics to Investigate Patterns of Performance and Engagement in Large Classes. SIGCSE (2017)
Hassan Khosravi, Kendra M. L. Cooper, Kirsty Kitto
RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests. CoRR (2017)
Hassan Khosravi, Kendra M. L. Cooper, Kirsty Kitto
RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests. EDM (2017)
Hassan Khosravi
Recommendation in Personalised Peer-Learning Environments. CoRR (2017)
Hassan Khosravi, Reza Allahyari, Ali Shole Haghighi
). Appl. Math. Comput. 260 (2015)
Oliver Schulte, Hassan Khosravi, Arthur E. Kirkpatrick, Tianxiang Gao, Yuke Zhu
Modelling relational statistics with Bayes Nets. Mach. Learn. 94 (1) (2014)
Hassan Khosravi, Ali Bozorgkhan, Oliver Schulte
Transaction-based link strength prediction in a social network. CIDM (2013)
Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao
Learning compact Markov logic networks with decision trees. Mach. Learn. 89 (3) (2012)
Oliver Schulte, Hassan Khosravi, Tong Man
Learning directed relational models with recursive dependencies. Mach. Learn. 89 (3) (2012)
Oliver Schulte, Hassan Khosravi
Learning graphical models for relational data via lattice search. Mach. Learn. 88 (3) (2012)
Hassan Khosravi
Fast Parameter Learning for Markov Logic Networks Using Bayes Nets. ILP (2012)
Oliver Schulte, Hassan Khosravi, Tianxiang Gao, Yuke Zhu
Random Regression for Bayes Nets Applied to Relational Data. StarAI@UAI (2012)
Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao
Learning Compact Markov Logic Networks with Decision Trees. ILP (2011)
Oliver Schulte, Hassan Khosravi, Tong Man
Learning Directed Relational Models with Recursive Dependencies. ILP (2011)
Hassan Khosravi, Bahareh Bina
A Survey on Statistical Relational Learning. Canadian Conference on AI (2010)
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyuan Xu, Bahareh Bina
Structure Learning for Markov Logic Networks with Many Descriptive Attributes. AAAI (2010)
Oliver Schulte, Gustavo Frigo, Russell Greiner, Hassan Khosravi
The IMAP Hybrid Method for Learning Gaussian Bayes Nets. Canadian Conference on AI (2010)
Oliver Schulte, Gustavo Frigo, Russell Greiner, Wei Luo, Hassan Khosravi
A new hybrid method for Bayesian network learning With dependency constraints. CIDM (2009)
Hassan Khosravi, Recep Colak
Exploratory Analysis of Co-Change Graphs for Code Refactoring. Canadian Conference on AI (2009)
Bahareh Bina, Oliver Schulte, Hassan Khosravi
LNBC: A Link-Based Naive Bayes Classifier. ICDM Workshops (2009)
Oliver Schulte, Hassan Khosravi, Flavia Moser, Martin Ester
Join Bayes Nets: A new type of Bayes net for relational data CoRR (2008)
Hassan Khosravi, Mohammad E. Shiri, Hamid Khosravi, Ehsan Iranmanesh, Alireza Davoodi
TACtic- A Multi Behavioral Agent for Trading Agent Competition. CSICC (2008)