{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T04:28:30Z","timestamp":1740112110621,"version":"3.37.3"},"reference-count":13,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Unc. Fuzz. Knowl. Based Syst."],"published-print":{"date-parts":[[2017,2]]},"abstract":"<jats:p> In this paper an interactive recommending agent is proposed which helps an e-learner to enhance the quality of learning experience resulting in efficient achievement of learning objectives. The agent achieves this with the help of a fuzzy rule base working on a variety of learning materials and recommending the appropriate learning path through them. In a learner-centric environment the learning behaviour of a learner may vary to a great extent due to the characteristics of the learner and his environment. Students are often misled while choosing the appropriate path of web learning tools owing to non-availability of a human teacher\/guide. By the response of a learner to different positive and negative motivation factors the proposed system employs a fuzzy machine that is fed with realization parameters e.g. Satisfied, Depressed etc. The fuzzy machine working on the paradigm of fuzzy inference system processes these realization parameters with the help of a fuzzy rule base to produce the crisp measures of the learner\u2019s cognitive states in terms of Belief, Behaviour and Attitude. On the basis of these defuzzified crisp diagnostic parameters the proposed system will enhanced the quality of learning experience of an e-learner. To ensure this the system will provide more detailed discussion on the subject matter along with some additional learning tools. Learners often get confused to select the proper tools among various. Therefore the proposed system will also suggest most popular path among those learners with the same understanding. This recommendation comes from the analysis of data mining result. The system was tested with a wide variety of school-level students. The response obtained indicates that it is able to enhance the quality of learning experience through its recommendation. <\/jats:p>","DOI":"10.1142\/s0218488517500027","type":"journal-article","created":{"date-parts":[[2017,3,1]],"date-time":"2017-03-01T22:18:57Z","timestamp":1488406737000},"page":"31-52","source":"Crossref","is-referenced-by-count":2,"title":["Enhancing Quality of Learning Experience Through Intelligent Agent in E-Learning"],"prefix":"10.1142","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2086-2858","authenticated-orcid":false,"given":"S.","family":"Bhattacharya","sequence":"first","affiliation":[{"name":"Information Technology Department, Techno India College of Technology, Newtown, Megacity, Kolkata 156, West Bengal, India"}]},{"given":"S.","family":"Chowdhury","sequence":"additional","affiliation":[{"name":"Computer Science and Technology Department, University of Calcutta, Senate House, 87\/1 College Street, Kolkata 700073, West Bengal, India"}]},{"given":"S.","family":"Roy","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering Department, National Institute of Technical Teachers\u2019 Training &amp; Research, Kolkata, FC Block, Sector 3, Salt Lake City Kolkata 700106, West Bengal, India"}]}],"member":"219","published-online":{"date-parts":[[2017,2,21]]},"reference":[{"issue":"4","key":"p_5","first-page":"261","volume":"22","author":"Bobadilla J.","year":"2009","journal-title":"Blended Learning"},{"key":"p_6","doi-asserted-by":"publisher","DOI":"10.1111\/1528-3577.00025"},{"key":"p_7","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2004.01.006"},{"key":"p_9","doi-asserted-by":"publisher","DOI":"10.1016\/0165-0114(95)00367-3"},{"key":"p_10","first-page":"676","author":"Dwivedi P.","year":"2012","journal-title":"India"},{"key":"p_15","doi-asserted-by":"publisher","DOI":"10.1080\/01587910600789506"},{"key":"p_16","first-page":"215","author":"Jonassen D.","year":"1999","journal-title":"NJ"},{"key":"p_17","doi-asserted-by":"publisher","DOI":"10.1016\/S0953-5438(01)00053-4"},{"key":"p_18","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2014.12.010"},{"key":"p_20","first-page":"8","author":"Lim C. P.","year":"2008","journal-title":"Teaching and Teacher Education"},{"key":"p_25","doi-asserted-by":"publisher","DOI":"10.5120\/21793-5140"},{"key":"p_32","first-page":"1","author":"Webster L.","year":"2008","journal-title":"Pte Ltd"},{"key":"p_33","doi-asserted-by":"publisher","DOI":"10.1109\/CIE.2002.1185862"}],"container-title":["International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218488517500027","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T11:24:14Z","timestamp":1565177054000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218488517500027"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2]]},"references-count":13,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2017,2,21]]},"published-print":{"date-parts":[[2017,2]]}},"alternative-id":["10.1142\/S0218488517500027"],"URL":"https:\/\/doi.org\/10.1142\/s0218488517500027","relation":{},"ISSN":["0218-4885","1793-6411"],"issn-type":[{"type":"print","value":"0218-4885"},{"type":"electronic","value":"1793-6411"}],"subject":[],"published":{"date-parts":[[2017,2]]}}}