{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T02:29:38Z","timestamp":1761964178847,"version":"3.41.2"},"reference-count":18,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2008,6,6]],"date-time":"2008-06-06T00:00:00Z","timestamp":1212710400000},"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":[[2008,6,6]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>The purpose of this study is to propose a hybrid system to combine the self\u2010organizing map (SOM) of a neural network with the data\u2010mining (DM) method for course recommendation of the e\u2010learning system.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>This research constructs a hybrid system with artificial neural network (ANN) and data\u2010mining (DM) techniques. First, ANN is used to classify the e\u2010Learner types. Based on these e\u2010Learner groups, users can obtain course recommendation from the group's opinions. When groups of related interests have been established, the DM will be used to elicit the rules of the best learning path. It is ideal for this system to stimulate learners' motivation and interest. Moreover, the hybrid approach can be used as a reference when learners are choosing between classes.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>In order to enhance the efficiency and capability of e\u2010learning systems, the SOM method is combined to deal with cluster problems of DM systems, SOM\/DM for short. It was found that the SOM\/DM method has excellent performance.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>This research is limited by the fact that its participants are from a business college of a university in Taiwan, and it is applied by SOM\/DM to recommend courses of e\u2010learners. This research is useful in the domain of the e\u2010learning system.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>The results of this research will provide useful information for educators to classify their e\u2010learners or students more accurately, and to adapt their teaching strategies accordingly to retain valuable e\u2010learners subject to limited resources. The experiments prove that it is ideal to stimulate learners' motivation and interest.<\/jats:p><\/jats:sec>","DOI":"10.1108\/02640470810879482","type":"journal-article","created":{"date-parts":[[2008,6,14]],"date-time":"2008-06-14T07:04:14Z","timestamp":1213427054000},"page":"329-344","source":"Crossref","is-referenced-by-count":39,"title":["Effective e\u2010learning recommendation system based on self\u2010organizing maps and association mining"],"prefix":"10.1108","volume":"26","author":[{"given":"David","family":"Wen\u2010Shung Tai","sequence":"first","affiliation":[]},{"given":"Hui\u2010Ju","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Pi\u2010Hsiang","family":"Li","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022012119505127800_b1","doi-asserted-by":"crossref","unstructured":"Arasu, A., Cho, J., Garcia\u2010Molina, H., Paepcke, A. and Raghavan, S. 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