{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:29:02Z","timestamp":1754155742949,"version":"3.41.2"},"reference-count":6,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2015,6,15]],"date-time":"2015-06-15T00:00:00Z","timestamp":1434326400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,6,15]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 The purpose of this paper is to annotate an attribute of a problem, a solution or no annotation on learners\u2019 opinions automatically for supporting the learners\u2019 discussion without a facilitator. The case method aims at discussing problems and solutions in a target case. However, the learners miss discussing some of problems and solutions. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 Because opinions about problems and solutions on the same case are similar to each other, the proposed method uses opinions that are correctly annotated in past discussions for annotating an appropriate attribute on each opinion in discussions of the same case. The annotation on each opinion is identified by Support Vector Machine learned with opinions and annotations in the past discussion. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 Compared to a simple method that uses decision tree classification, this proposed method improves the recall rate and the precision rate of annotating the attribute by over 10 per cent. The proposed method is effective for automatic annotation. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 Because the recall rate and the precision rate of annotating an attribute of a problem are over 80 per cent, it is possible to make learners aware of problems that they should discuss. On the other hand, the recall rate and the precision rate of annotating an attribute of a solution are still low. The authors discuss the research issue to improve the rates for automatic annotation.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/itse-04-2015-0003","type":"journal-article","created":{"date-parts":[[2015,6,1]],"date-time":"2015-06-01T04:35:46Z","timestamp":1433133346000},"page":"90-99","source":"Crossref","is-referenced-by-count":2,"title":["Automatic annotation method on learners\u2019 opinions in case method discussion"],"prefix":"10.1108","volume":"12","author":[{"given":"Masaki","family":"Samejima","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daichi","family":"Hisakane","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Norihisa","family":"Komoda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020122303491524400_b1","unstructured":"Brooke, S.L.\n (2006), \u201cUsing the case method to teach online classes: promoting socratic dialogue and critical thinking skills\u201d, \n International Journal of Teaching and Learning in Higher Education\n , Vol. 18 No. 2, pp. 142-149."},{"key":"key2020122303491524400_b2","unstructured":"Cunningham, H.\n , \n Maynard, D.\n , \n Bontcheva, K.\n and \n Tablan, V.\n (2002), \u201cGate: an architecture for development of robust HLT applications\u201d, \n Proceedings of the 40th Annual Meeting on Association for Computational Linguistics\n , Stroudsburg, pp. 168-175."},{"key":"key2020122303491524400_b3","doi-asserted-by":"crossref","unstructured":"Gordona, T.F.\n , \n Prakkenb, H.\n and \n Waltonc, D.\n (2007), \u201cThe Carneades model of argument and burden of proof\u201d, \n Artificial Intelligence\n , Vol. 171 Nos 10\/15, pp. 875-896.","DOI":"10.1016\/j.artint.2007.04.010"},{"key":"key2020122303491524400_b4","unstructured":"Hammond, J.S.\n (1980), \n Learning by the Case Method\n , Harvard Business School, Boston."},{"key":"key2020122303491524400_b5","doi-asserted-by":"crossref","unstructured":"He, H.\n and \n Garcia, E.\n (2009), \u201cLearning from Imbalanced Data\u201d, \n IEEE Transactions on Knowledge and Data Engineering\n , Vol. 21 No. 9, pp. 1263-1284.","DOI":"10.1109\/TKDE.2008.239"},{"key":"key2020122303491524400_b6","doi-asserted-by":"crossref","unstructured":"Hisakane, D.\n and \n Samejima, M.\n (2014), \u201cA visualization system of discussion structure in case method learning\u201d, Proceedings of 6th International Conference on Knowledge Management & Information Sharing, Rome, pp. 126-132.","DOI":"10.5220\/0005025101260132"}],"container-title":["Interactive Technology and Smart Education"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/ITSE-04-2015-0003","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/ITSE-04-2015-0003\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/ITSE-04-2015-0003\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T21:56:37Z","timestamp":1753394197000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/itse\/article\/12\/2\/90-99\/177213"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6,15]]},"references-count":6,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2015,6,15]]}},"alternative-id":["10.1108\/ITSE-04-2015-0003"],"URL":"https:\/\/doi.org\/10.1108\/itse-04-2015-0003","relation":{},"ISSN":["1741-5659"],"issn-type":[{"type":"print","value":"1741-5659"}],"subject":[],"published":{"date-parts":[[2015,6,15]]}}}