Adaptation and Intelligent Retrieval of Learning Content to Enhance On-line Courses
Enhancing on-line courses is one of the most important issues of current e-Learning platforms. These platforms try to upgrade from simple environments where learners can download documents and take tests to complex environments where the learning content is adapted and intelligently retrieved. This...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 328 |
|---|---|
| container_issue | |
| container_start_page | 323 |
| container_title | |
| container_volume | |
| creator | Mihaescu, Marian Cristian Burdescu, Dumitru Dan Ionascu, Costel Marian Logofatu, Bogdan |
| description | Enhancing on-line courses is one of the most important issues of current e-Learning platforms. These platforms try to upgrade from simple environments where learners can download documents and take tests to complex environments where the learning content is adapted and intelligently retrieved. This paper presents a methodology for achieving such goals in an attempt to enhance on-line courses. The methodology makes intensive use of well structured content, embedded logging mechanism for learner's performed activities and usage of state-of-the-art algorithms for proper knowledge acquisition. |
| doi_str_mv | 10.1109/ICNS.2010.70 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5460627</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5460627</ieee_id><sourcerecordid>5460627</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-151b5be9a7b736ede21981547f22b48956a305d0510a10eb1e151bec5d900c93</originalsourceid><addsrcrecordid>eNotjE1LxDAYhCMiKGtv3rzkD3R9k-brPS5l1YXigvW-pO3bNVLTpY2C_976MZdheGaGsRsBayEA73blU72WsEQLZyxD68Aa1AUahPPfLJRUSqO07pJl8_wGi5QWzrkrVm86f0o-hTFyHzu-i4mGIRwpJv5MaQr06Qc-9rwiP8UQj7wcl8pC08i38dXHlvg-5kOItKCPaab5ml30fpgp-_cVq--3L-VjXu0fduWmygNCyoUWjW4IvW1sYagjKdAJrWwvZaMcauML0B1oAV4ANYJ-FtTqDgFaLFbs9u81ENHhNIV3P30dtDJgpC2-ASVsT5I</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Adaptation and Intelligent Retrieval of Learning Content to Enhance On-line Courses</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Mihaescu, Marian Cristian ; Burdescu, Dumitru Dan ; Ionascu, Costel Marian ; Logofatu, Bogdan</creator><creatorcontrib>Mihaescu, Marian Cristian ; Burdescu, Dumitru Dan ; Ionascu, Costel Marian ; Logofatu, Bogdan</creatorcontrib><description>Enhancing on-line courses is one of the most important issues of current e-Learning platforms. These platforms try to upgrade from simple environments where learners can download documents and take tests to complex environments where the learning content is adapted and intelligently retrieved. This paper presents a methodology for achieving such goals in an attempt to enhance on-line courses. The methodology makes intensive use of well structured content, embedded logging mechanism for learner's performed activities and usage of state-of-the-art algorithms for proper knowledge acquisition.</description><identifier>ISBN: 9781424459278</identifier><identifier>ISBN: 1424459273</identifier><identifier>EISBN: 9780769539690</identifier><identifier>EISBN: 9781424459285</identifier><identifier>EISBN: 1424459281</identifier><identifier>EISBN: 0769539696</identifier><identifier>DOI: 10.1109/ICNS.2010.70</identifier><language>eng</language><publisher>IEEE</publisher><subject>Clustering algorithms ; content adaptation ; Content based retrieval ; Electronic learning ; Intelligent networks ; intelligent retrieval ; Knowledge acquisition ; Learning systems ; Machine learning algorithms ; on-line course ; Software engineering ; Statistical analysis ; Testing</subject><ispartof>2010 Sixth International Conference on Networking and Services, 2010, p.323-328</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5460627$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5460627$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Mihaescu, Marian Cristian</creatorcontrib><creatorcontrib>Burdescu, Dumitru Dan</creatorcontrib><creatorcontrib>Ionascu, Costel Marian</creatorcontrib><creatorcontrib>Logofatu, Bogdan</creatorcontrib><title>Adaptation and Intelligent Retrieval of Learning Content to Enhance On-line Courses</title><title>2010 Sixth International Conference on Networking and Services</title><addtitle>ICNS</addtitle><description>Enhancing on-line courses is one of the most important issues of current e-Learning platforms. These platforms try to upgrade from simple environments where learners can download documents and take tests to complex environments where the learning content is adapted and intelligently retrieved. This paper presents a methodology for achieving such goals in an attempt to enhance on-line courses. The methodology makes intensive use of well structured content, embedded logging mechanism for learner's performed activities and usage of state-of-the-art algorithms for proper knowledge acquisition.</description><subject>Clustering algorithms</subject><subject>content adaptation</subject><subject>Content based retrieval</subject><subject>Electronic learning</subject><subject>Intelligent networks</subject><subject>intelligent retrieval</subject><subject>Knowledge acquisition</subject><subject>Learning systems</subject><subject>Machine learning algorithms</subject><subject>on-line course</subject><subject>Software engineering</subject><subject>Statistical analysis</subject><subject>Testing</subject><isbn>9781424459278</isbn><isbn>1424459273</isbn><isbn>9780769539690</isbn><isbn>9781424459285</isbn><isbn>1424459281</isbn><isbn>0769539696</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjE1LxDAYhCMiKGtv3rzkD3R9k-brPS5l1YXigvW-pO3bNVLTpY2C_976MZdheGaGsRsBayEA73blU72WsEQLZyxD68Aa1AUahPPfLJRUSqO07pJl8_wGi5QWzrkrVm86f0o-hTFyHzu-i4mGIRwpJv5MaQr06Qc-9rwiP8UQj7wcl8pC08i38dXHlvg-5kOItKCPaab5ml30fpgp-_cVq--3L-VjXu0fduWmygNCyoUWjW4IvW1sYagjKdAJrWwvZaMcauML0B1oAV4ANYJ-FtTqDgFaLFbs9u81ENHhNIV3P30dtDJgpC2-ASVsT5I</recordid><startdate>201003</startdate><enddate>201003</enddate><creator>Mihaescu, Marian Cristian</creator><creator>Burdescu, Dumitru Dan</creator><creator>Ionascu, Costel Marian</creator><creator>Logofatu, Bogdan</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201003</creationdate><title>Adaptation and Intelligent Retrieval of Learning Content to Enhance On-line Courses</title><author>Mihaescu, Marian Cristian ; Burdescu, Dumitru Dan ; Ionascu, Costel Marian ; Logofatu, Bogdan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-151b5be9a7b736ede21981547f22b48956a305d0510a10eb1e151bec5d900c93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Clustering algorithms</topic><topic>content adaptation</topic><topic>Content based retrieval</topic><topic>Electronic learning</topic><topic>Intelligent networks</topic><topic>intelligent retrieval</topic><topic>Knowledge acquisition</topic><topic>Learning systems</topic><topic>Machine learning algorithms</topic><topic>on-line course</topic><topic>Software engineering</topic><topic>Statistical analysis</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Mihaescu, Marian Cristian</creatorcontrib><creatorcontrib>Burdescu, Dumitru Dan</creatorcontrib><creatorcontrib>Ionascu, Costel Marian</creatorcontrib><creatorcontrib>Logofatu, Bogdan</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mihaescu, Marian Cristian</au><au>Burdescu, Dumitru Dan</au><au>Ionascu, Costel Marian</au><au>Logofatu, Bogdan</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Adaptation and Intelligent Retrieval of Learning Content to Enhance On-line Courses</atitle><btitle>2010 Sixth International Conference on Networking and Services</btitle><stitle>ICNS</stitle><date>2010-03</date><risdate>2010</risdate><spage>323</spage><epage>328</epage><pages>323-328</pages><isbn>9781424459278</isbn><isbn>1424459273</isbn><eisbn>9780769539690</eisbn><eisbn>9781424459285</eisbn><eisbn>1424459281</eisbn><eisbn>0769539696</eisbn><abstract>Enhancing on-line courses is one of the most important issues of current e-Learning platforms. These platforms try to upgrade from simple environments where learners can download documents and take tests to complex environments where the learning content is adapted and intelligently retrieved. This paper presents a methodology for achieving such goals in an attempt to enhance on-line courses. The methodology makes intensive use of well structured content, embedded logging mechanism for learner's performed activities and usage of state-of-the-art algorithms for proper knowledge acquisition.</abstract><pub>IEEE</pub><doi>10.1109/ICNS.2010.70</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 9781424459278 |
| ispartof | 2010 Sixth International Conference on Networking and Services, 2010, p.323-328 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_5460627 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Clustering algorithms content adaptation Content based retrieval Electronic learning Intelligent networks intelligent retrieval Knowledge acquisition Learning systems Machine learning algorithms on-line course Software engineering Statistical analysis Testing |
| title | Adaptation and Intelligent Retrieval of Learning Content to Enhance On-line Courses |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T00%3A02%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Adaptation%20and%20Intelligent%20Retrieval%20of%20Learning%20Content%20to%20Enhance%20On-line%20Courses&rft.btitle=2010%20Sixth%20International%20Conference%20on%20Networking%20and%20Services&rft.au=Mihaescu,%20Marian%20Cristian&rft.date=2010-03&rft.spage=323&rft.epage=328&rft.pages=323-328&rft.isbn=9781424459278&rft.isbn_list=1424459273&rft_id=info:doi/10.1109/ICNS.2010.70&rft_dat=%3Cieee_6IE%3E5460627%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9780769539690&rft.eisbn_list=9781424459285&rft.eisbn_list=1424459281&rft.eisbn_list=0769539696&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5460627&rfr_iscdi=true |