Shoeb Joarder is a research and teaching assistant of the Social Computing Group in the Department of Computer Science and Applied Cognitive Science at the University of Duisburg-Essen. He received his bachelor's (2018) in Computer Science and Communication Engineering and a master’s degree (2021, with distinction) in Computer Engineering from the University of Duisburg-Essen. His main research areas involve educational Data Science, Social Computing, and Learning Technologies, with a focus on Human-centered Learning Analytics, Visual Analytics, and Big Data.

2024

• Rawaa Alatrash, Mohamed Amine Chatti, Qurat Ul Ain, Shoeb Joarder
  Transparent Learner Knowledge State Modeling using Personal Knowledge Graphs and Graph Neural Networks   Inproceedings  
  In Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP’24 Adjunct), Cagliari, Italy, July 2024.
   
• Shoeb Joarder, Mohamed Amine Chatti, and Ao Sun
  A No-Code Environment for Implementing Human-Centered Learning Analytics Indicators   Inproceedings  
  In Companion Proceedings of the 14th International Learning Analytics and Knowledge Conference (LAK’24), pp. 263-265
  ​ 
• Qurat Ul Ain, Mohamed Amine Chatti, Paul Arthur Meteng Kamdem, Rawaa Alatrash, Shoeb Joarder and Clara Siepmann
  Learner Modeling and Recommendation of Learning Resources using Personal Knowledge Graphs   Inproceedings  
  In Proceedings of the 14th International Learning Analytics and Knowledge Conference (LAK’24), pp. 273–283
  ​  ​
• Rawaa Alatrash, Mohamed Amine Chatti, Qurat Ul Ain, Fang Yipeng, Shoeb Joarder, Clara Siepmann
  ConceptGCN: Concept Recommendation in MOOCs based on Knowledge Graph Convolutional Networks and SBERT  Journal Article Open Access
  Computers and Education: Artificial Intelligence, Volume 6, 2024, 100193, ISSN 2666-920X, https://doi.org/10.1016/j.caeai.2023.100193
  ​ ​

2023

• Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Joarder, Qurat Ul Ain, Rawaa Alatrash, Clara Siepmann, Tannaz Vahidi
  Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System   Journal Article
  International Journal of Human–Computer Interaction, 2023; https://doi.org/10.1080/10447318.2023.2262797
  ​ ​
• Qurat Ul Ain, Mohamed Amine Chatti, Komlan Gluck Charles Bakar, Shoeb Joarder, Rawaa Alatrash
  Automatic Construction of Educational Knowledge Graphs: A Word Embedding-based Approach   Journal Article Open Access
  Information 2023, 14(10), 526; https://doi.org/10.3390/info14100526
  ​ ​
• Mouadh Guesmi, Mohamed Amine Chatti, Lamees Kadhim, Shoeb Joarder, Qurat Ul Ain
  Semantic Interest Modeling and Content-based Scientific Publication Recommendation Using Word Embeddings and Sentence Encoders   Journal Article Open Access
  Multimodal Technol. Interact. 2023, 7(9), 91; https://doi.org/10.3390/mti7090091
  ​ ​
• Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Joarder, Qurat Ul Ain, Clara Siepmann, Hoda Ghanbarzadeh, Rawaa Alatrash
  Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System   Journal Article Open Access
  Information. 2023; 14(7):401. https://doi.org/10.3390/info14070401
  ​ ​
• Mouadh Guesmi, Clara Siepmann, Mohamed Amine Chatti, Shoeb Joarder, Qurat Ul Ain, Rawaa Alatrash
  Validation of the EDUSS Framework for Self-Actualization Based on Transparent User Models: A Qualitative Study   Inproceedings
  In Adjunct Proceedings of the 31th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’23 Adjunct), Limassol, Cyprus, June 2023.
  ​ ​
• Shoeb Joarder, Mohamed Amine Chatti, Seyedemarzie Mirhashemi, and Qurat Ul Ain
  Towards a Flexible User Interface for 'Quick and Dirty' Learning Analytics Indicator Design   Inproceedings  
  In Proceedings of the Fourth International Workshop on Human-Centered Learning Analytics (HCLA) at the LAK'23 conference.
  ​

2022

• Qurat Ul Ain, Mohamed Amine Chatti, Shoeb Joarder, Ilia Nassif, Benjamine Stella Wobiwo Teda, Mouadh Guesmi, Rawaa Alatrash
  Learning Channels to Support Interaction and Collaboration in CourseMapper   Inproceedings
  In Proceedings of the 14th International Conference on Education Technology and Computers (ICETC ’22).
  ​ ​
• Mouadh Guesmi, Mohamed Amine Chatti, Jaleh Ghorbani-Bavani, Shoeb Joarder, Qurat Ul Ain, Rawaa Alatrash
  What if Interactive Explanation in a Scientific Literature Recommender System   Inproceedings  
  In Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS ’22).
  ​ ​
• Mohamed Amine Chatti, Mouadh Guesmi, Laura Vorgerd, Thao Ngo, Shoeb Joarder, Qurat Ul Ain, Arham Muslim
  Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System  Inproceedings  
  In Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 2022.
  ​ ​
• Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, Thao Ngo, Shoeb Joarder, Qurat Ul Ain, Arham Muslim
  Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study   Inproceedings  
  In Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’22 Adjunct), Barcelona, Spain, July 2022.
  ​
• Mouadh Guesmi, Mohamed Amine Chatti, Alptug Tayyar, Qurat Ul Ain, Shoeb Joarder
  Interactive Visualizations of Transparent User Models for Self-Actualization: A Human-Centered Design Approach  Journal Article  Open Access
  Multimodal Technologies and Interaction, 2022, 6(6), 42; https://doi.org/10.3390/mti6060042
  ​  ​
• Qurat Ul Ain, Mohamed Amine Chatti, Mouadh Guesmi, Shoeb Joarder
  A Multi-Dimensional Conceptualization Framework for Personalized Explanations in Recommender Systems   Inproceedings
  In Companion Proceedings of the 27th International Conference on Intelligent User Interfaces (IUI'22).
  ​  ​

2021

• Mohamed Amine Chatti, Volkan Yücepur, Arham Muslim, Mouadh Guesmi, Shoeb Joarder
  Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications  Book Chapter  
  In: Sahin M., Ifenthaler D. (eds) Visualizations and Dashboards for Learning Analytics. Advances in Analytics for Learning and Teaching (pp. 47-68). Springer, Cham. https://doi.org/10.1007/978-3-030-81222-5_3
  ​  ​
• Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, Shoeb Joarder, Qurat Ul Ain, Thao Ngo, Shadi Zumor, Yiqi Sun, Fangzheng Ji, Arham Muslim
  Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details  Inproceedings In Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS ’21).
  ​  ​
• Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, Shoeb Joarder, Shadi Zumor, Yiqi Sun, Fangzheng Ji, Arham Muslim
  On-demand Personalized Explanation for Transparent Recommendation  Inproceedings
  In Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’21 Adjunct).
  ​  ​
• Mohamed Amine Chatti, Fangzheng Ji, Mouadh Guesmi, Arham Muslim, Ravi Kumar Singh, and Shoeb Ahmed Joarder
  SIMT: A Semantic Interest Modeling Toolkit  Inproceedings
  In Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’21 Adjunct).
  ​  ​
• Mouadh Guesmi, Mohamed Amine Chatti, Yiqi Sun, Shadi Zumor, Fangzheng Ji, Arham Muslim, Laura Vorgerd, and Shoeb Ahmed Joarder
  Open, Scrutable and Explainable Interest Models for Transparent Recommendation  Inproceedings
  In Companion Proceedings of the 26th International Conference on Intelligent User Interfaces (IUI'21).
  ​  ​