Sophia Yang, Yongjoo Park, Abdussalam Alawini. 2022. The Effects of Teaching Modality on Collaborative Learning: A Controlled Study. In the Frontiers In Education (FIE '22) Abdussalam Alawini, Peilin Rao, Leyao Zhou, Lujia Kang, and Ping-Che Ho. 2022. Teaching Data Models with TriQL. In 1st International Workshop on Data Systems Education (DataEd '22) Sophia Yang, Geoffrey L. Herman, and Abdussalam Alawini. 2022. Analyzing Student SQL Solutions via Hierarchical Clustering and Sequence Alignment Scores. In 1st International Workshop on Data Systems Education (DataEd '22) Mei Chen, Seth Poulsen, Ridha Alkhabaz, and Abdussalam Alawini. 2021. A Quantitative Analysis of Student Solutions to Graph Database Problems. In Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1 (ITiCSE '21). Ridha Alkhabaz, Seth Poulsen, Mei Chen, and Abdussalam Alawini. 2021. Insights from Student Solutions to MongoDB Homework Problems. In Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1 (ITiCSE '21). Sophia Yang, Ziyuan Wei, Geoffrey L. Herman, and Abdussalam Alawini. 2021. Analyzing Patterns in Student SQL Solutions via Levenshtein Edit Distance. In Proceedings of the Eighth ACM Conference on Learning @ Scale (L@S '21). Alawini, A., & Rao, P., & Zhou, L., & Kang, L., & HO, P. (2021, April), Work-In-Progress: TriQL: A tool for learning relational, graph and document-oriented database programming. Paper presented at 2021 Illinois-Indiana Regional Conference Mei Chen, Seth Poulsen, Ridha Alkhabaz, and Abdussalam Alawini. 2021. A Quantitative Analysis of Student Solutions to Graph Database Queries. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). ALSaad, F., Reichel, T., Zeng, Y., & Alawini, A. (2021). Topic Transitions in MOOCs: An Analysis Study. (EDM) International Educational Data Mining Society. Alsaad, Fareedah; Alawini, Abdussalam. 2020. International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (13th, Online, Jul 10-13, 2020) Seth Poulsen, Liia Butler, Abdussalam Alawini, and Geoffrey L. Herman. 2020. Insights from Student Solutions to SQL Homework Problems. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '20). N. Zheng, A. Alawini and Z. G. Ives, "Fine-Grained Provenance for Matching & ETL," 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, pp. 184-195, doi: 10.1109/ICDE.2019.00025. Yinjun Wu, Abdussalam Alawini, Daniel Deutch, Tova Milo, and Susan Davidson. 2019. ProvCite: provenance-based data citation. Proc. VLDB Endow. 12, 7 (March 2019) Alawini A., Chen L., Davidson S., Fisher S., Kim J. (2018) Discovering Similar Workflows via Provenance Clustering: A Case Study. In: Belhajjame K., Gehani A., Alper P. (eds) Provenance and Annotation of Data and Processes. IPAW 2018. Yinjun Wu, Abdussalam Alawini, Susan B. Davidson, and Gianmaria Silvello. 2018. Data Citation: Giving Credit Where Credit is Due. In Proceedings of the 2018 International Conference on Management of Data (SIGMOD '18). Alawini, Abdussalam, Susan B. Davidson, Gianmaria Silvello, Val Tannen, and Yinjun Wu. "Data Citation: A New Provenance Challenge." IEEE Data Eng. Bull. 41, no. 1 (2018): 27-38. Xu, Jane, Waley Zhang, Abdussalam Alawini, and Val Tannen. "Provenance Analysis for Missing Answers and Integrity Repairs." IEEE Data Eng. Bull. 41, no. 1 (2018): 39-50. Abdussalam Alawini, Susan B. Davidson, Wei Hu, and Yinjun Wu. 2017. Automating data citation in CiteDB. Proc. VLDB Endow. 10, 12 (August 2017) A. Alawini, L. Chen, S. B. Davidson, N. Portilho Da Silva and G. Silvello, "Automating Data Citation: The eagle-i Experience," 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2017 Abdussalam Alawini, David Maier, Kristin Tufte, Bill Howe, and Rashmi Nandikur. 2015. Towards automated prediction of relationships among scientific datasets. In Proceedings of the 27th International Conference on Scientific and Statistical Database Management (SSDBM '15) Abdussalam Alawini, David Maier, Kristin Tufte, and Bill Howe. 2014. Helping scientists reconnect their datasets. In Proceedings of the 26th International Conference on Scientific and Statistical Database Management (SSDBM '14). 2022 Sophia Yang, Yongjoo Park, and Abdussalam Alawini. 2022. . The Effects of Teaching Modality on Collaborative Learning: A Controlled Study, To be published in the Frontiers in Education conference. (FIE'22) Abdussalam Alawini, Peilin Rao, Leyao Zhou, Lujia Kang, and Ping-Che Ho. 2022. Teaching Data Models with TriQL. In 1st International Workshop on Data Systems Education (DataEd '22) Sophia Yang, Geoffrey L. Herman, and Abdussalam Alawini. 2022. Analyzing Student SQL Solutions via Hierarchical Clustering and Sequence Alignment Scores. In 1st International Workshop on Data Systems Education (DataEd '22) 2021 ALSaad, Fareedah, Thomas Reichel, Yuchen Zeng, and Abdussalam Alawini. "Topic Transitions in MOOCs: An Analysis Study." International Educational Data Mining Society (2021). M. Weston, H. Sun, G. L. Herman, H. Benotman and A. Alawini, "Echelon: An AI Tool for Clustering Student-Written SQL Queries," 2021 IEEE Frontiers in Education Conference (FIE), 2021, pp. 1-8, doi: 10.1109/FIE49875.2021.9637203. Mei Chen, Seth Poulsen, Ridha Alkhabaz, and Abdussalam Alawini. 2021. A Quantitative Analysis of Student Solutions to Graph Database Problems. In Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1 (ITiCSE '21). Ridha Alkhabaz, Seth Poulsen, Mei Chen, and Abdussalam Alawini. 2021. Insights from Student Solutions to MongoDB Homework Problems. In Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1 (ITiCSE '21). Sophia Yang, Ziyuan Wei, Geoffrey L. Herman, and Abdussalam Alawini. 2021. Analyzing Patterns in Student SQL Solutions via Levenshtein Edit Distance. In Proceedings of the Eighth ACM Conference on Learning @ Scale (L@S '21). Alawini, A., & Rao, P., & Zhou, L., & Kang, L., & HO, P. (2021, April), Work-In-Progress: TriQL: A tool for learning relational, graph and document-oriented database programming. Paper presented at 2021 Illinois-Indiana Regional Conference Mei Chen, Seth Poulsen, Ridha Alkhabaz, and Abdussalam Alawini. 2021. A Quantitative Analysis of Student Solutions to Graph Database Queries. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). 2020 Alsaad, Fareedah; Alawini, Abdussalam. 2020. International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (13th, Online, Jul 10-13, 2020) Seth Poulsen, Liia Butler, Abdussalam Alawini, and Geoffrey L. Herman. 2020. Insights from Student Solutions to SQL Homework Problems. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '20). 2019 N. Zheng, A. Alawini and Z. G. Ives, "Fine-Grained Provenance for Matching & ETL," 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, pp. 184-195, doi: 10.1109/ICDE.2019.00025. Yinjun Wu, Abdussalam Alawini, Daniel Deutch, Tova Milo, and Susan Davidson. 2019. ProvCite: provenance-based data citation. Proc. VLDB Endow. 12, 7 (March 2019) 2018 Alawini A., Chen L., Davidson S., Fisher S., Kim J. (2018) Discovering Similar Workflows via Provenance Clustering: A Case Study. In: Belhajjame K., Gehani A., Alper P. (eds) Provenance and Annotation of Data and Processes. IPAW 2018. Yinjun Wu, Abdussalam Alawini, Susan B. Davidson, and Gianmaria Silvello. 2018. Data Citation: Giving Credit Where Credit is Due. In Proceedings of the 2018 International Conference on Management of Data (SIGMOD '18). Alawini, Abdussalam, Susan B. Davidson, Gianmaria Silvello, Val Tannen, and Yinjun Wu. "Data Citation: A New Provenance Challenge." IEEE Data Eng. Bull. 41, no. 1 (2018): 27-38. Xu, Jane, Waley Zhang, Abdussalam Alawini, and Val Tannen. "Provenance Analysis for Missing Answers and Integrity Repairs." IEEE Data Eng. Bull. 41, no. 1 (2018): 39-50. 2017 Abdussalam Alawini, Susan B. Davidson, Wei Hu, and Yinjun Wu. 2017. Automating data citation in CiteDB. Proc. VLDB Endow. 10, 12 (August 2017) A. Alawini, L. Chen, S. B. Davidson, N. Portilho Da Silva and G. Silvello, "Automating Data Citation: The eagle-i Experience," 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2017 2014-2016 Abdussalam Alawini, David Maier, Kristin Tufte, Bill Howe, and Rashmi Nandikur. 2015. Towards automated prediction of relationships among scientific datasets. In Proceedings of the 27th International Conference on Scientific and Statistical Database Management (SSDBM '15) Abdussalam Alawini, David Maier, Kristin Tufte, and Bill Howe. 2014. Helping scientists reconnect their datasets. In Proceedings of the 26th International Conference on Scientific and Statistical Database Management (SSDBM '14). https://scholar.google.com/alawini https://dblp.org/pid/147/2931.html Get In Touch 201 N. Goodwin Urbana, IL 61801 +12173008116 alawini@illinois.edu Send Message