{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T12:32:57Z","timestamp":1770294777485,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,4,15]],"date-time":"2021-04-15T00:00:00Z","timestamp":1618444800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,4,15]]},"DOI":"10.1145\/3409334.3452042","type":"proceedings-article","created":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T20:49:49Z","timestamp":1620679789000},"page":"55-62","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Evaluation of student collaboration on canvas LMS using educational data mining techniques"],"prefix":"10.1145","author":[{"given":"Urvashi","family":"Desai","sequence":"first","affiliation":[{"name":"Miami University"}]},{"given":"Vijayalakshmi","family":"Ramasamy","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Parkside"}]},{"given":"James","family":"Kiper","sequence":"additional","affiliation":[{"name":"Miami University"}]}],"member":"320","published-online":{"date-parts":[[2021,5,10]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"M. Allahyari S. Pouriyeh M. Assefi S. Safaei E. Trippe J. Gutierrez and K. Kochut. 2017. A Brief Survey of Text Mining: Classification Clustering and Extraction Techniques. ArXiv (07 2017)."},{"key":"e_1_3_2_1_2_1","unstructured":"ClientStat. 2019. ClientStat. http:\/\/www.clientstat.com\/."},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 5th International Conference on Educational Data Mining","author":"Crespo P.","unstructured":"P. Crespo and C. Antunes. 2012. Social Networks Analysis for Quantifying Students' Performance in Teamwork. In Proceedings of the 5th International Conference on Educational Data Mining. New York, NY, USA, 232--233."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.1814258"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3328778.3366876"},{"key":"e_1_3_2_1_6_1","unstructured":"Edutechnica. 2019. Edutechnica. http:\/\/edutechnica.com\/."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/0378-8733(78)90021-7"},{"key":"e_1_3_2_1_8_1","unstructured":"GrapheneDB. 2019. GrapheneDB Documentation. https:\/\/docs.graphenedb.com\/."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3341525.3387375"},{"key":"e_1_3_2_1_10_1","unstructured":"Instructure. 2019. Canvas API. https:\/\/canvas.instructure.com\/doc\/api\/."},{"key":"e_1_3_2_1_11_1","unstructured":"Instructure. 2019. Canvas LMS. https:\/\/www.instructure.com\/canvas\/."},{"key":"e_1_3_2_1_12_1","unstructured":"Instructure. 2019. Redirect Tool (LTI). https:\/\/www.eduappcenter.com\/apps\/63#.XpzSyMhKhPZ."},{"key":"e_1_3_2_1_13_1","unstructured":"A. Kagakin et al. 2017. AnyChart. https:\/\/github.com\/AnyChart\/AnyChart."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2010.03.010"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-011-9234-x"},{"key":"e_1_3_2_1_16_1","unstructured":"Neo4j. 2019. Neo4j Graph Platform. https:\/\/neo4j.com\/developer\/graph-platform\/."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.3115\/1118693.1118704"},{"key":"e_1_3_2_1_18_1","unstructured":"ParallelDots. 2019. ParallelDots API. https:\/\/www.github.com\/paralleldots."},{"key":"e_1_3_2_1_19_1","unstructured":"PHP-ML. 2019. PHP-ML - Machine Learning Library for PHP. https:\/\/php-ml.readthedocs.io\/en\/v0.1.0\/."},{"key":"e_1_3_2_1_20_1","volume-title":"TP-GraphMiner: A Clustering Framework for Task-based Information Networks. In International Conference on Systems, Computation","author":"Ramasamy V.","unstructured":"V. Ramasamy, U. Desai, W. Hakam, and J. D. Kiper. 2018. TP-GraphMiner: A Clustering Framework for Task-based Information Networks. In International Conference on Systems, Computation, Automation, Networking (India) (ICSCAN '18). IEEE, India."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/FIE43999.2019.9028629"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","unstructured":"C. Romero M. Lopez J. Luna and S. Ventura. 2013. Predicting Students' Final Performance from Participation in On-line Discussion Forums. Comput. Educ. 68 C (Oct. 2013) 458--472. 10.1016\/j.compedu.2013.06.009","DOI":"10.1016\/j.compedu.2013.06.009"},{"key":"e_1_3_2_1_23_1","unstructured":"C. Romero S. Ventura Sebastian G. Espejo and C. Mart\u00ednez. 2008. Data Mining Algorithms to Classify Students. Educational Data Mining 2008 - 1st International Conference on Educational Data Mining (2008) 8--17."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","unstructured":"S. Rose D. Engel N. Cramer and W. Cowley. 2010. Automatic Keyword Extraction from Individual Documents. 1--20. 10.1002\/9780470689646.ch1","DOI":"10.1002\/9780470689646.ch1"},{"key":"e_1_3_2_1_25_1","unstructured":"S. Sathya and N. Rajendran. 2015. A Review on Text Mining Techniques. International Journal of Computer Science Trends and Technology (IJCST) (2015) 274--284."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1187\/cbe.16-07-0219"},{"key":"e_1_3_2_1_27_1","unstructured":"D. Schoemans. 2019. Rake-PHP-Plus. https:\/\/github.com\/Donatello-za\/rake-php-plus."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"L. K. Tan J. C. Na Y. L. Theng and K. Chang. 2011. Sentence-level Sentiment Polarity Classification Using a Linguistic Approach. In Digital Libraries: For Cultural Heritage Knowledge Dissemination and Future Creation Chunxiao Xing Fabio Crestani and Andreas Rauber (Eds.). Springer Berlin Heidelberg Berlin Heidelberg 77--87.","DOI":"10.1007\/978-3-642-24826-9_13"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.2008.01362.x"},{"key":"e_1_3_2_1_30_1","unstructured":"C. Willemsen et al. 2017. GraphAware\/ neo4j-php-client. http:\/\/github.com\/graphaware\/neo4j-php-client."},{"key":"e_1_3_2_1_31_1","article-title":"Text Mining and Knowledge Discovery from Big Data: Challenges and Promise","volume":"13","author":"Yehia A. M.","year":"2016","unstructured":"A. M. Yehia, L. F. Ibrahim, and A. M. Fouad. 2016. Text Mining and Knowledge Discovery from Big Data: Challenges and Promise. International Journal of Computer Science Issues, Volume 13, Issue 3 (2016), 54--61.","journal-title":"International Journal of Computer Science Issues"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.24059\/olj.v19i3.495"}],"event":{"name":"ACM SE '21: 2021 ACM Southeast Conference","location":"Virtual Event USA","acronym":"ACM SE '21","sponsor":["ACM Association for Computing Machinery"]},"container-title":["Proceedings of the 2021 ACM Southeast Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3409334.3452042","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3409334.3452042","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:33Z","timestamp":1750197693000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3409334.3452042"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,15]]},"references-count":32,"alternative-id":["10.1145\/3409334.3452042","10.1145\/3409334"],"URL":"https:\/\/doi.org\/10.1145\/3409334.3452042","relation":{},"subject":[],"published":{"date-parts":[[2021,4,15]]},"assertion":[{"value":"2021-05-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}