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2020 – today
- 2024
[j26]Ali Darvishi
, Hassan Khosravi, Shazia Wasim Sadiq, Dragan Gasevic, George Siemens:
Impact of AI assistance on student agency. Comput. Educ. 210: 104967 (2024)- [j25]Sahar Nasabpour Molaei, Ali Salajegheh, Hassan Khosravi, Amin Nasiri, Abbas Ranjbar Saadat Abadi:
Prediction of hourly PM10 concentration through a hybrid deep learning-based method. Earth Sci. Informatics 17(1): 37-49 (2024) - [j24]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: 102301 (2024) - [c42]M. Parvez Rashid, Edward F. Gehringer, Hassan Khosravi:
Navigating (Dis)agreement: AI Assistance to Uncover Peer Feedback Discrepancies. LAK 2024: 907-914 - [c41]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: 559-562 - [i11]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 abs/2404.11072 (2024) - [i10]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 abs/2406.14769 (2024) - 2023
- [j23]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): 335-354 (2023) - [j22]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: 100151 (2023) - [j21]Hatim Lahza, Hassan Khosravi, Gianluca Demartini:
Analytics of learning tactics and strategies in an online learnersourcing environment. J. Comput. Assist. Learn. 39(1): 94-112 (2023) - [j20]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): 14-50 (2023) - [j19]Hassan Khosravi, Olga Viberg, Vitomir Kovanovic, Rebecca Ferguson:
Generative AI and Learning Analytics. J. Learn. Anal. 10(3): 1-6 (2023) - [j18]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): 106-120 (2023) - [c40]Steven Moore, Richard Jiarui 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: 32-37 - [c39]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: 32-37 - [c38]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: 100-110 - [e2]Steven Moore, John C. Stamper, Richard Jiarui Tong, Chen Cao, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Hassan Khosravi, Paul Denny, Anjali Singh, Chris Brooks:
Proceedings of the Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023 co-located with 24th International Conference on Artificial Intelligence in Education (AIED 2023), Tokyo, Japan, July 7, 2023. CEUR Workshop Proceedings 3487, CEUR-WS.org 2023 [contents] - [e1]Steven Moore, John C. Stamper, Paul Denny, Hassan Khosravi, Christopher Brooks:
Proceedings of the Workshop on Learnersourcing: Student-Generated Content @ Scale 2022 co-located with 9th ACM Conference on Learning @ Scale (L@S 2022), New York City, United States, June 1, 2022. CEUR Workshop Proceedings 3410, CEUR-WS.org 2023 [contents] - [i9]Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper:
Learnersourcing in the Age of AI: Student, Educator and Machine Partnerships for Content Creation. CoRR abs/2306.06386 (2023) - [i8]Paul Denny, Hassan Khosravi, Arto Hellas, Juho Leinonen, Sami Sarsa:
Human vs Machine: Comparison of Student-generated and AI-generated Educational Content. CoRR abs/2306.10509 (2023) - [i7]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 abs/2310.19775 (2023) - 2022
- [j17]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): 413-453 (2022) - [j16]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): 844-875 (2022) - [j15]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: 100074 (2022) - [j14]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: 100075 (2022) - [j13]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): 1059-1084 (2022) - [c37]Hatim Lahza, Hassan Khosravi, Gianluca Demartini:
Incorporating AI and Analytics to Derive Insights from E-exam Logs. AIED (1) 2022: 749-755 - [c36]Hatim Lahza, Hassan Khosravi, Gianluca Demartini, Dragan Gasevic:
Effects of Technological Interventions for Self-regulation: A Control Experiment in Learnersourcing. LAK 2022: 542-548 - [c35]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: 35-47 - [c34]Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi:
Learnersourcing: Student-generated Content @ Scale. L@S 2022: 259-262 - [c33]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: 384-388 - 2021
- [j12]Ehsan Moradi, Mahsa Abdolshahnejad, Moslem Borji Hassangavyar, Ghasem Ghoohestani, Alexandre Marco da Silva, Hassan Khosravi, Artemi Cerdà:
Machine learning approach to predict susceptible growth regions of Moringa peregrina (Forssk). Ecol. Informatics 62: 101267 (2021) - [j11]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): 117-132 (2021) - [j10]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): 133-154 (2021) - [j9]Solmaz Abdi, Hassan Khosravi, Shazia W. Sadiq, Gianluca Demartini:
Evaluating the Quality of Learning Resources: A Learnersourcing Approach. IEEE Trans. Learn. Technol. 14(1): 81-92 (2021) - [c32]Solmaz Abdi, Hassan Khosravi, Shazia W. Sadiq, Ali Darvishi:
Open Learner Models for Multi-activity Educational Systems. AIED (2) 2021: 11-17 - [c31]Hassan Khosravi, Gianluca Demartini, Shazia W. Sadiq, Dragan Gasevic:
Charting the Design and Analytics Agenda of Learnersourcing Systems. LAK 2021: 32-42 - [c30]Solmaz Abdi, Hassan Khosravi, Shazia Wasim Sadiq:
Modelling Learners in Adaptive Educational Systems: A Multivariate Glicko-based Approach. LAK 2021: 497-503 - [c29]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: 139-150 - 2020
- [c28]Solmaz Abdi, Hassan Khosravi, Shazia W. Sadiq:
Modelling Learners in Crowdsourcing Educational Systems. AIED (2) 2020: 3-9 - [c27]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: 486-499 - [c26]Ali Darvishi, Hassan Khosravi, Shazia Wasim Sadiq:
Utilising Learnersourcing to Inform Design Loop Adaptivity. EC-TEL 2020: 332-346 - [c25]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: 92-102 - [c24]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: 163-167 - [c23]Shiva Shabaninejad, Hassan Khosravi, Marta Indulska, Aneesha Bakharia, Pedro T. Isaías:
Automated insightful drill-down recommendations for learning analytics dashboards. LAK 2020: 41-46 - [c22]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: 83-88 - [c21]Solmaz Abdi, Hassan Khosravi, Shazia W. Sadiq, Dragan Gasevic:
Complementing educational recommender systems with open learner models. LAK 2020: 360-365 - [c20]Hassan Khosravi, Shazia Wasim Sadiq, Dragan Gasevic:
Development and Adoption of an Adaptive Learning System: Reflections and Lessons Learned. SIGCSE 2020: 58-64
2010 – 2019
- 2019
- [j8]Kendra M. L. Cooper, Hassan Khosravi:
Multilevel Visualisation of Topic Dependency Modelsfor Assessment Design and Delivery: A Hypergraph Based Approach. J. Vis. Lang. Comput. 2019(2): 69-82 (2019) - [j7]Hassan Khosravi, Kirsty Kitto, Joseph Jay Williams:
RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities. J. Learn. Anal. 6(3) (2019) - [c19]Kendra M. L. Cooper, Hassan Khosravi:
Multilevel Topic Dependency Models for Assessment Design and Delivery: A Hypergraph Based Approach. DMSVIVA 2019: 30-50 - [c18]Solmaz Abdi, Hassan Khosravi, Shazia W. Sadiq, Dragan Gasevic:
A Multivariate ELO-based Learner Model for Adaptive Educational Systems. EDM 2019 - [i6]Kendra M. L. Cooper, Hassan Khosravi:
Multilevel Visualisation of Topic Dependency Models for Assessment Design and Delivery: A Hypergraph Based Approach. CoRR abs/1910.05514 (2019) - [i5]Hassan Khosravi, Kirsty Kitto, Joseph Jay Williams:
RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities. CoRR abs/1910.05522 (2019) - [i4]Solmaz Abdi, Hassan Khosravi, Shazia Wasim Sadiq, Dragan Gasevic:
A Multivariate Elo-based Learner Model for Adaptive Educational Systems. CoRR abs/1910.12581 (2019) - 2018
- [j6]Hassan Khosravi, Kendra M. L. Cooper:
Topic Dependency Models: Graph-Based Visual Analytics for Communicating Assessment Data. J. Learn. Anal. 5(3) (2018) - [c17]Boyd A. Potts, Hassan Khosravi, Carl Reidsema:
Reciprocal Content Recommendation for Peer Learning Study Sessions. AIED (1) 2018: 462-475 - [c16]Kendra M. L. Cooper, Hassan Khosravi:
Graph-based visual topic dependency models: supporting assessment design and delivery at scale. LAK 2018: 11-15 - [c15]Boyd A. Potts, Hassan Khosravi, Carl Reidsema, Aneesha Bakharia, Mark Belonogoff, Melanie Fleming:
Reciprocal peer recommendation for learning purposes. LAK 2018: 226-235 - 2017
- [c14]Hassan Khosravi, Kendra M. L. Cooper, Kirsty Kitto:
RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests. EDM 2017 - [c13]Hassan Khosravi, Kendra M. L. Cooper:
Using Learning Analytics to Investigate Patterns of Performance and Engagement in Large Classes. SIGCSE 2017: 309-314 - [i3]Hassan Khosravi, Kendra M. L. Cooper, Kirsty Kitto:
RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests. CoRR abs/1704.00556 (2017) - [i2]Hassan Khosravi:
Recommendation in Personalised Peer-Learning Environments. CoRR abs/1712.03077 (2017) - 2015
- [j5]Hassan Khosravi, Reza Allahyari, Ali Shole Haghighi:
Existence of solutions of functional integral equations of convolution type using a new construction of a measure of noncompactness on Lp(R+). Appl. Math. Comput. 260: 140-147 (2015) - 2014
- [j4]Oliver Schulte, Hassan Khosravi, Arthur E. Kirkpatrick, Tianxiang Gao, Yuke Zhu:
Modelling relational statistics with Bayes Nets. Mach. Learn. 94(1): 105-125 (2014) - 2013
- [c12]Hassan Khosravi, Ali Bozorgkhan, Oliver Schulte:
Transaction-based link strength prediction in a social network. CIDM 2013: 191-198 - 2012
- [j3]Oliver Schulte, Hassan Khosravi:
Learning graphical models for relational data via lattice search. Mach. Learn. 88(3): 331-368 (2012) - [j2]Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao:
Learning compact Markov logic networks with decision trees. Mach. Learn. 89(3): 257-277 (2012) - [j1]Oliver Schulte, Hassan Khosravi, Tong Man:
Learning directed relational models with recursive dependencies. Mach. Learn. 89(3): 299-316 (2012) - [c11]Hassan Khosravi:
Fast Parameter Learning for Markov Logic Networks Using Bayes Nets. ILP 2012: 102-115 - [c10]Oliver Schulte, Hassan Khosravi, Tianxiang Gao, Yuke Zhu:
Random Regression for Bayes Nets Applied to Relational Data. StarAI@UAI 2012 - 2011
- [c9]Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao:
Learning Compact Markov Logic Networks with Decision Trees. ILP 2011: 20-25 - [c8]Oliver Schulte, Hassan Khosravi, Tong Man:
Learning Directed Relational Models with Recursive Dependencies. ILP 2011: 39-44 - 2010
- [c7]Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyuan Xu, Bahareh Bina:
Structure Learning for Markov Logic Networks with Many Descriptive Attributes. AAAI 2010: 487-493 - [c6]Oliver Schulte, Gustavo Frigo, Russell Greiner, Hassan Khosravi:
The IMAP Hybrid Method for Learning Gaussian Bayes Nets. Canadian AI 2010: 123-134 - [c5]Hassan Khosravi, Bahareh Bina:
A Survey on Statistical Relational Learning. Canadian AI 2010: 256-268
2000 – 2009
- 2009
- [c4]Hassan Khosravi, Recep Colak:
Exploratory Analysis of Co-Change Graphs for Code Refactoring. Canadian AI 2009: 219-223 - [c3]Oliver Schulte, Gustavo Frigo, Russell Greiner, Wei Luo, Hassan Khosravi:
A new hybrid method for Bayesian network learning With dependency constraints. CIDM 2009: 53-60 - [c2]Bahareh Bina, Oliver Schulte, Hassan Khosravi:
LNBC: A Link-Based Naive Bayes Classifier. ICDM Workshops 2009: 489-494 - 2008
- [c1]Hassan Khosravi, Mohammad E. Shiri, Hamid Khosravi, Ehsan Iranmanesh, Alireza Davoodi:
TACtic- A Multi Behavioral Agent for Trading Agent Competition. CSICC 2008: 811-815 - [i1]Oliver Schulte, Hassan Khosravi, Flavia Moser, Martin Ester:
Join Bayes Nets: A new type of Bayes net for relational data. CoRR abs/0811.4458 (2008)
Coauthor Index
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last updated on 2024-08-05 20:19 CEST by the dblp team
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