{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:28:30Z","timestamp":1742974110277,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030357573"},{"type":"electronic","value":"9783030357580"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-35758-0_13","type":"book-chapter","created":{"date-parts":[[2019,11,15]],"date-time":"2019-11-15T11:03:13Z","timestamp":1573815793000},"page":"130-142","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Collaborative Learning Grouping Strategy with Early Warning Function Based on Complementarity Degree"],"prefix":"10.1007","author":[{"given":"Zhizhuang","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengzhou","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiongyu","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,16]]},"reference":[{"issue":"3","key":"13_CR1","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1037\/0022-0663.87.3.406","volume":"87","author":"NM Webb","year":"1995","unstructured":"Webb, N.M., Troper, J.D., Fall, R.: Constructive activity and learning in collaborative small groups. J. Educ. Psychol. 87(3), 406\u2013423 (1995)","journal-title":"J. Educ. Psychol."},{"issue":"3","key":"13_CR2","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1002\/cae.20579","volume":"22","author":"B Jong","year":"2014","unstructured":"Jong, B., et al.: Effect of knowledge complementation grouping strategy for cooperative learning on online performance and learning achievement. Comput. Appl. Eng. Educ. 22(3), 541\u2013550 (2014)","journal-title":"Comput. Appl. Eng. Educ."},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Lai, C., et al.: The impact of peer interaction on group strategy in cooperative learning environment. \nhttps:\/\/www.scientific.net\/AMR.271\u2013273.1213","DOI":"10.4028\/www.scientific.net\/AMR.271-273.1213"},{"key":"13_CR4","unstructured":"Chan, T.Y., et al.: Applying learning achievement and thinking styles to cooperative learning grouping. In: Frontiers in Education Conference-Global Engineering: Knowledge Without Borders. IEEE (2007)"},{"issue":"12","key":"13_CR5","doi-asserted-by":"publisher","first-page":"14832","DOI":"10.1016\/j.eswa.2011.05.065","volume":"38","author":"Y Wang","year":"2011","unstructured":"Wang, Y., Li, Y., Liao, H.: Using a genetic algorithm to determine optimal complementary learning clusters for ESL in Taiwan. Expert Syst. Appl. 38(12), 14832\u201314837 (2011)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"13_CR6","first-page":"49","volume":"8","author":"Y Wu","year":"2014","unstructured":"Wu, Y.: Using complementary grouping strategy for cooperative learning. Int. J. Intell. Inf. Database Syst. 8(1), 49\u201363 (2014)","journal-title":"Int. J. Intell. Inf. Database Syst."},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Su, H.M., Shih, T.K., Chen, Y.H.: Grouping teammates based on complementary degree and social network analysis using genetic algorithm. In: International Conference on Ubi-Media Computing & Workshops. IEEE (2014)","DOI":"10.1109\/U-MEDIA.2014.40"},{"key":"13_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/978-3-662-46315-4_2","volume-title":"Advances in Web-Based Learning \u2013 ICWL 2013 Workshops","author":"H-W Tien","year":"2015","unstructured":"Tien, H.-W., Lin, Y.-S., Chang, Y.-C., Chu, C.-P.: A genetic algorithm-based multiple characteristics grouping strategy for collaborative learning. In: Chiu, D.K.W., et al. (eds.) ICWL 2013. LNCS, vol. 8390, pp. 11\u201322. Springer, Heidelberg (2015). \nhttps:\/\/doi.org\/10.1007\/978-3-662-46315-4_2"},{"issue":"6","key":"13_CR9","doi-asserted-by":"publisher","first-page":"738","DOI":"10.1109\/TKDE.2006.93","volume":"18","author":"B Jong","year":"2006","unstructured":"Jong, B., Wu, Y., Chan, T.: Dynamic grouping strategies based on a conceptual graph for cooperative learning. IEEE Trans. Knowl. Data Eng. 18(6), 738\u2013747 (2006)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"2","key":"13_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compedu.2009.09.008","volume":"54","author":"LP Macfadyen","year":"2010","unstructured":"Macfadyen, L.P., Dawson, S.: Mining LMS data to develop an \u201cearly warning system\u201d for educators: a proof of concept. Comput. Educ. 54(2), 1\u2013599 (2010)","journal-title":"Comput. Educ."},{"issue":"3","key":"13_CR11","first-page":"77","volume":"15","author":"W He","year":"2012","unstructured":"He, W., Yen, C.J.: Using data mining for predicting relationships between online question theme and final grade. J. Educ. Technol. Soc. 15(3), 77\u201388 (2012)","journal-title":"J. Educ. Technol. Soc."},{"key":"13_CR12","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1016\/j.chb.2014.04.002","volume":"36","author":"YH Hu","year":"2014","unstructured":"Hu, Y.H., Lo, C.L., Shih, S.P.: Developing early warning systems to predict students\u2019 online learning performance. Comput. Hum. Behav. 36, 469\u2013478 (2014)","journal-title":"Comput. Hum. Behav."},{"key":"13_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1007\/978-3-319-91464-0_32","volume-title":"Intelligent Tutoring Systems","author":"X Cheng","year":"2018","unstructured":"Cheng, X., et al.: A novel learning early-warning model based on random forest algorithm. In: Nkambou, R., Azevedo, R., Vassileva, J. (eds.) ITS 2018. LNCS, vol. 10858, pp. 306\u2013312. Springer, Cham (2018). \nhttps:\/\/doi.org\/10.1007\/978-3-319-91464-0_32"},{"key":"13_CR14","series-title":"Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1007\/978-3-319-93719-9_9","volume-title":"e-Learning, e-Education, and Online Training","author":"J Liu","year":"2018","unstructured":"Liu, J., Yang, Z., Wang, X., Zhang, X., Feng, J.: An early-warning method on e-learning. In: Liu, S., Glowatz, M., Zappatore, M., Gao, H., Jia, B., Bucciero, A. (eds.) eLEOT 2018. LNICST, vol. 243, pp. 62\u201372. Springer, Cham (2018). \nhttps:\/\/doi.org\/10.1007\/978-3-319-93719-9_9"},{"issue":"2","key":"13_CR15","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1111\/obes.12277","volume":"81","author":"D Sansone","year":"2019","unstructured":"Sansone, D.: Beyond early warning indicators: high school dropout and machine learning. Oxford Bull. Econ. Stat. 81(2), 456\u2013485 (2019)","journal-title":"Oxford Bull. Econ. Stat."}],"container-title":["Lecture Notes in Computer Science","Advances in Web-Based Learning \u2013 ICWL 2019"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-35758-0_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,13]],"date-time":"2020-05-13T16:34:28Z","timestamp":1589387668000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-35758-0_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030357573","9783030357580"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-35758-0_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"16 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICWL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web-Based Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Magdeburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icwl2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/events.h2.de\/icwl\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"68","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"22% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"In addition, 7 poster papers were accepted for publication","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}