Ratan Sebastian

Number of publications: 9

Conference Articles

2025

1. [1]

   R. Sebastian and A. Hoppe:

   Supporting Teachers through AI-augmented Web Search for Educational Resource Discovery

   In: International Conference on Artificial Intelligence in Education, AIED 2025, Palermo, Italy, July 22-26, 2025, 2025.

   Accepted for Publication

   https://doi.org/10.1007/978-3-031-36272-9_42

   Bib

           @inproceedings{unpublished_aied_25,
     author = {Sebastian, Ratan and Hoppe, Anett},
     editor_ = {},
     title = {Supporting Teachers through AI-augmented Web Search for Educational Resource Discovery},
     booktitle = {International Conference on Artificial Intelligence in Education,
                       {AIED} 2025, Palermo, Italy, July 22-26, 2025},
     series_ = {Lecture Notes in Computer Science},
     volume_ = {13916},
     pages_ = {515--527},
     publisher_ = {Springer},
     year = {2025},
     url = {https://doi.org/10.1007/978-3-031-36272-9_42},
     status = {unpublished}
   }

2. [2]

   R. J. Sebastian and A. Hoppe:

   Validating LLM-Generated Relevance Labels for Educational Resource Search

   In: Workshop on Large Language Models for Evaluation (LLM4Eval) co-located with the ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025, 2025.

   https://doi.org/10.48550/arXiv.2504.12732

   Bib

           @inproceedings{DBLP:conf/wsdm/sebastian2025validating,
     author = {Sebastian, Ratan J. and Hoppe, Anett},
     booktitle = {Workshop on Large Language Models for Evaluation (LLM4Eval) co-located with the ACM International Conference on Web Search and Data Mining, {WSDM} 2025, Hannover, Germany, March 10-14, 2025},
     title = {Validating {LLM}-Generated Relevance Labels for Educational Resource Search},
     year = {2025},
     address = {Hannover, Germany},
     month = jan,
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/journals/corr/abs-2504-12732.bib},
     doi = {10.48550/arXiv.2504.12732},
     url_ = {https://doi.org/10.48550/arXiv.2504.12732}
   }

2024

1. [1]

   R. Sebastian and A. Hoppe:

   An Updated Analysis of Learning Resource Metadata Usage on the Web

   In: International Conference on Theory and Practice of Digital Libraries, TPDL 2024, Ljubljana, Slovenia, September 24-27, 2024, pp. 85–94. Springer, 2024.

   https://doi.org/10.1007/978-3-031-72440-4_8

   Bib

           @inproceedings{DBLP:conf/ercimdl/SebastianH24,
     author = {Sebastian, Ratan and Hoppe, Anett},
     editor_ = {Apostolos Antonacopoulos and
                       Annika Hinze and
                       Benjamin Piwowarski and
                       Micka{\"{e}}l Coustaty and
                       Giorgio Maria Di Nunzio and
                       Francesco Gelati and
                       Nicholas Vanderschantz},
     title = {An Updated Analysis of Learning Resource Metadata Usage on the Web},
     booktitle = {International Conference on Theory and Practice of Digital Libraries, {TPDL} 2024,
                       Ljubljana, Slovenia, September 24-27, 2024},
     series_ = {Lecture Notes in Computer Science},
     volume_ = {15178},
     pages = {85--94},
     publisher = {Springer},
     year = {2024},
     url = {https://doi.org/10.1007/978-3-031-72440-4_8},
     doi_ = {10.1007/978-3-031-72440-4\_8},
     timestamp = {Sun, 19 Jan 2025 13:40:15 +0100},
     biburl = {https://dblp.org/rec/conf/ercimdl/SebastianH24.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org}
   }

2. [2]

   R. Sebastian:

   Adaptive Search Support for Teachers in Lesson Planning

   In: Conference on User Modeling, Adaptation and Personalization, UMAP Adjunct 2024, Cagliari, Italy, July 1-4, 2024. ACM, 2024.

   https://doi.org/10.1145/3631700.3664921

   Bib

           @inproceedings{DBLP:conf/um/Sebastian24,
     author = {Sebastian, Ratan},
     title = {Adaptive Search Support for Teachers in Lesson Planning},
     booktitle = {Conference on User Modeling, Adaptation and Personalization, {UMAP} Adjunct 2024, Cagliari, Italy, July 1-4, 2024},
     publisher = {{ACM}},
     year = {2024},
     url_ = {https://doi.org/10.1145/3631700.3664921},
     doi = {10.1145/3631700.3664921},
     timestamp = {Thu, 04 Jul 2024 22:05:46 +0200},
     biburl = {https://dblp.org/rec/conf/um/Sebastian24.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     status_ = {exclude}
   }

2023

1. [1]

   M. Roski, R. Sebastian, R. Ewerth, A. Hoppe, and A. Nehring:

   Dropout Prediction in a Web Environment Based on Universal Design for Learning

   In: International Conference on Artificial Intelligence in Education, AIED 2023, Tokyo, Japan, July 3-7, 2023,, pp. 515–527. Springer, 2023.

   https://doi.org/10.1007/978-3-031-36272-9_42

   Bib

           @inproceedings{DBLP:conf/aied/RoskiSEHN23,
     author = {Roski, Marvin and Sebastian, Ratan and Ewerth, Ralph and Hoppe, Anett and Nehring, Andreas},
     booktitle = {International Conference on Artificial Intelligence in Education, {AIED} 2023, Tokyo, Japan, July 3-7, 2023,},
     title = {Dropout Prediction in a Web Environment Based on Universal Design for Learning},
     year = {2023},
     pages = {515--527},
     publisher = {Springer},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     biburl = {https://dblp.org/rec/conf/aied/RoskiSEHN23.bib},
     doi = {10.1007/978-3-031-36272-9\_42},
     editor_ = {Ning Wang and Genaro Rebolledo{-}Mendez and Noboru Matsuda and Olga C. Santos and Vania Dimitrova},
     series_ = {Lecture Notes in Computer Science},
     timestamp = {Fri, 04 Aug 2023 15:27:47 +0200},
     url_ = {https://doi.org/10.1007/978-3-031-36272-9\_42},
     volume_ = {13916}
   }

2022

1. [1]

   R. J. Sebastian, R. Ewerth, and A. Hoppe:

   Grade Level Filtering for Learning Object Search using Entity Linking

   In: International Workshop on Investigating Learning During Web Search co-located with the International ACM SIGIR Conference on Research and Development in Information Retrieval, IWILDS@SIGIR 2022, Madrid, Spain, July 15, 2022, 3411, pp. 69–83. CEUR-WS.org, 2022.

   https://ceur-ws.org/Vol-3411/IWILDS-paper3.pdf

   Bib

           @inproceedings{DBLP:conf/sigir/SebastianEH22,
     author = {Sebastian, Ratan J. and Ewerth, Ralph and Hoppe, Anett},
     editor = {{\"{O}}zlem {\"{O}}zg{\"{o}}bek and Lommatzsch, Andreas and Kille, Benjamin and Liu, Peng and Malthouse, Edward C. and Gulla, Jon Atle and Hoppe, Anett and Yu, Ran and Liu, Jiqun},
     title = {Grade Level Filtering for Learning Object Search using Entity Linking},
     booktitle = {International Workshop on
                       Investigating Learning During Web Search co-located
                       with the International {ACM} {SIGIR} Conference on Research and Development
                       in Information Retrieval, {IWILDS}@{SIGIR} 2022, Madrid, Spain, July 15, 2022},
     series = {{CEUR} Workshop Proceedings},
     volume = {3411},
     pages = {69--83},
     publisher = {CEUR-WS.org},
     year = {2022},
     timestamp = {Mon, 28 Aug 2023 17:23:07 +0200},
     biburl = {https://dblp.org/rec/conf/sigir/SebastianEH22.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org}
   }

Journal Articles

2024

1. [1]

   S. Cosemans, P. Grant, R. Sebastian, and M. Allassonière-Tang:

   Refugee Policy in 1970s Archives

   . Zenodo 2024.

   https://doi.org/10.5281/ZENODO.11396507

   Bib

           @article{cosemans_refugee_2024,
     author = {Cosemans, Sara and Grant, Philip and Sebastian, Ratan and Allassonière-Tang, Marc},
     title = {Refugee Policy in 1970s Archives},
     booktitle = {Conference on Digital Humanities, Benelux, 2024, Leuven, Belgium, June 5-7, 2024},
     publisher = {Zenodo},
     year = {2024},
     url_ = {https://zenodo.org/doi/10.5281/zenodo.11396507},
     doi = {10.5281/ZENODO.11396507},
     timestamp = {Thu, 25 Jul 2024 22:05:46 +0200},
     exclude = {True},
     status_ = {exclude}
   }

2. [2]

   M. Roski, R. Sebastian, R. Ewerth, A. Hoppe, and A. Nehring:

   Learning analytics and the Universal Design for Learning (UDL): A clustering approach

   Computers & Education, 214, pp. 105028, 2024.

   https://doi.org/10.1016/j.compedu.2024.105028

   Bib

   In the context of inclusive education, Universal Design for Learning (UDL) is a framework used worldwide to create learning opportunities accessible to all learners. While much research focused on the design and students’ perceptions of UDL-based learning settings, studies on students’ usage patterns in UDL-guided elements, particularly in digital environments, are still scarce. Therefore, we analyze and cluster the usage patterns of 9th and 10th graders in a web-based learning platform called I3Learn. The platform focuses on chemistry learning, and UDL principles guide its design. We collected the temporal usage patterns of UDL-guided elements of 384 learners in detailed log files. The collected data includes the time spent using video and/or text as a source of information, working on learning tasks with or without help and working on self-assessments. We used Exploratory Factor Analysis (EFA) to identify relevant factors in the observed usage behaviors. Based on the factor loadings, we extracted features for k-means clustering and named the resulting groups based on their usage patterns and learner characteristics. The EFA revealed four factors suggesting that learners remain consistent in selecting UDL-guided elements that require a decision (video or text, tasks with or without help). Based on these four factors, the cluster analysis identifies six different groups. We discuss these results as a starting point to provide individualized learning support through further artificial intelligence applications and inform educators about learner activity through a dashboard.

           @article{Roski2024a,
     author = {Roski, Marvin and Sebastian, Ratan and Ewerth, Ralph and Hoppe, Anett and Nehring, Andreas},
     journal = {Computers & Education},
     title = {Learning analytics and the Universal Design for Learning (UDL): A clustering approach},
     year = {2024},
     issn = {0360-1315},
     pages = {105028},
     volume = {214},
     doi = {10.1016/j.compedu.2024.105028},
     keywords = {Clustering, Web-based learning science, Education inclusive education},
     url_ = {https://www.sciencedirect.com/science/article/pii/S0360131524000423}
   }

2021

1. [1]

   P. Grant, R. Sebastian, M. Allassonnière-Tang, and S. Cosemans:

   Topic modelling on archive documents from the 1970s: global policies on refugees

   Digital Scholarship in the Humanities, 36(4), pp. 886–904, 2021.

   https://doi.org/10.1093/LLC/FQAB018

   Bib

           @article{DBLP:journals/lalc/GrantSAC21,
     author = {Grant, Philip and Sebastian, Ratan and Allassonni{\`{e}}re{-}Tang, Marc and Cosemans, Sara},
     title = {Topic modelling on archive documents from the 1970s: global policies
                       on refugees},
     journal = {Digital Scholarship in the Humanities},
     volume = {36},
     number = {4},
     pages = {886--904},
     year = {2021},
     url_ = {https://doi.org/10.1093/llc/fqab018},
     doi = {10.1093/LLC/FQAB018},
     timestamp = {Mon, 28 Aug 2023 21:40:58 +0200},
     biburl = {https://dblp.org/rec/journals/lalc/GrantSAC21.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     status_ = {exclude}
   }