Loading…

Solving the Curriculum Sequencing Problem with DNA Computing Approach

In the e-learning systems, a learning path is known as a sequence of learning materials linked to each others to help learners achieving their learning goals. As it is impossible to have the same learning path that suits different learners, the Curriculum Sequencing problem (CS) consists of the gene...

Full description

Saved in:
Bibliographic Details
Published in:International journal of distance education technologies 2014-10, Vol.12 (4), p.1-18
Main Authors: Debbah, Amina, Ben Ali, Yamina Mohamed
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c489t-e270d4e129a81bd0a2131cc2e6ffc875abaa6831f604188ded2f6f4fe72b02f43
cites cdi_FETCH-LOGICAL-c489t-e270d4e129a81bd0a2131cc2e6ffc875abaa6831f604188ded2f6f4fe72b02f43
container_end_page 18
container_issue 4
container_start_page 1
container_title International journal of distance education technologies
container_volume 12
creator Debbah, Amina
Ben Ali, Yamina Mohamed
description In the e-learning systems, a learning path is known as a sequence of learning materials linked to each others to help learners achieving their learning goals. As it is impossible to have the same learning path that suits different learners, the Curriculum Sequencing problem (CS) consists of the generation of a personalized learning path for each learner according to one's learner profile. This last one includes one's knowledge and preferences. In fact the CS problem is considered as NP hard problem, so many heuristics and meta-heuristics have been used to approximate its solutions. Therefore the results have shown their efficiency to solve such a problem. This work presents a DNA computing approach that aims to solve the CS problem.
doi_str_mv 10.4018/ijdet.2014100101
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1654666941</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ericid>EJ1050340</ericid><sourcerecordid>2931899030</sourcerecordid><originalsourceid>FETCH-LOGICAL-c489t-e270d4e129a81bd0a2131cc2e6ffc875abaa6831f604188ded2f6f4fe72b02f43</originalsourceid><addsrcrecordid>eNqNkctLAzEQhxdR8Hn3Iix48VKdSbLZ5FhqfSEqVM8hzSbtln2Z3VX8702ttCAKnhKYb2Z-wxdFxwjnDFBc5IvMducEkCEAAm5Fe5hQOaCIcnv9B9iN9tt2AUBQMroXjSd18ZZXs7ib23jUe5-bvujLeGJfe1uZZeXJ19PClvF73s3jy4dhPKrLpu-WpWHT-Fqb-WG043TR2qPv9yB6uRo_j24G94_Xt6Ph_cAwIbuBJSlkzCKRWuA0A02QojHEcueMSBM91ZoLio4DQyEymxHHHXM2JVMgjtGD6Gw1N6wN-dpOlXlrbFHoytZ9q5DzVFKBafIfFIBRzsg_0IRxziXDgJ7-QBd176twsyKSopASKAQKVpTxddt661Tj81L7D4WglrbUly21sRVaTlYtNhhY4-M7hAQog03GfJZvdv4co5rMBfT6N7SaqeBYbRyrleO_IiGhnwcxtbw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2931899030</pqid></control><display><type>article</type><title>Solving the Curriculum Sequencing Problem with DNA Computing Approach</title><source>ABI/INFORM global</source><source>Library &amp; Information Science Abstracts (LISA)</source><source>Social Science Premium Collection</source><source>Library &amp; Information Science Collection</source><source>ERIC</source><source>Education Collection</source><creator>Debbah, Amina ; Ben Ali, Yamina Mohamed</creator><creatorcontrib>Debbah, Amina ; Ben Ali, Yamina Mohamed</creatorcontrib><description>In the e-learning systems, a learning path is known as a sequence of learning materials linked to each others to help learners achieving their learning goals. As it is impossible to have the same learning path that suits different learners, the Curriculum Sequencing problem (CS) consists of the generation of a personalized learning path for each learner according to one's learner profile. This last one includes one's knowledge and preferences. In fact the CS problem is considered as NP hard problem, so many heuristics and meta-heuristics have been used to approximate its solutions. Therefore the results have shown their efficiency to solve such a problem. This work presents a DNA computing approach that aims to solve the CS problem.</description><identifier>ISSN: 1539-3100</identifier><identifier>EISSN: 1539-3119</identifier><identifier>DOI: 10.4018/ijdet.2014100101</identifier><language>eng</language><publisher>Hershey: IGI Global</publisher><subject>Approximation ; Computation ; Computer System Design ; Curricula ; Curriculum ; Customization ; Deoxyribonucleic acid ; Distance education ; Distance learning ; Efficiency ; Electronic Learning ; Gene sequencing ; Heuristics ; Knowledge Management ; Learning ; Methods ; Personalized ; Scaling ; Sequencing</subject><ispartof>International journal of distance education technologies, 2014-10, Vol.12 (4), p.1-18</ispartof><rights>Copyright © 2014, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c489t-e270d4e129a81bd0a2131cc2e6ffc875abaa6831f604188ded2f6f4fe72b02f43</citedby><cites>FETCH-LOGICAL-c489t-e270d4e129a81bd0a2131cc2e6ffc875abaa6831f604188ded2f6f4fe72b02f43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2931899030/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2931899030?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,11666,21356,21359,21372,27281,27900,27901,33587,33588,33853,33854,33882,33883,34111,34112,36036,36037,43708,43855,43867,44338,74191,74366,74378,74864</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1050340$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Debbah, Amina</creatorcontrib><creatorcontrib>Ben Ali, Yamina Mohamed</creatorcontrib><title>Solving the Curriculum Sequencing Problem with DNA Computing Approach</title><title>International journal of distance education technologies</title><description>In the e-learning systems, a learning path is known as a sequence of learning materials linked to each others to help learners achieving their learning goals. As it is impossible to have the same learning path that suits different learners, the Curriculum Sequencing problem (CS) consists of the generation of a personalized learning path for each learner according to one's learner profile. This last one includes one's knowledge and preferences. In fact the CS problem is considered as NP hard problem, so many heuristics and meta-heuristics have been used to approximate its solutions. Therefore the results have shown their efficiency to solve such a problem. This work presents a DNA computing approach that aims to solve the CS problem.</description><subject>Approximation</subject><subject>Computation</subject><subject>Computer System Design</subject><subject>Curricula</subject><subject>Curriculum</subject><subject>Customization</subject><subject>Deoxyribonucleic acid</subject><subject>Distance education</subject><subject>Distance learning</subject><subject>Efficiency</subject><subject>Electronic Learning</subject><subject>Gene sequencing</subject><subject>Heuristics</subject><subject>Knowledge Management</subject><subject>Learning</subject><subject>Methods</subject><subject>Personalized</subject><subject>Scaling</subject><subject>Sequencing</subject><issn>1539-3100</issn><issn>1539-3119</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>7SW</sourceid><sourceid>ALSLI</sourceid><sourceid>CJNVE</sourceid><sourceid>CNYFK</sourceid><sourceid>F2A</sourceid><sourceid>M0C</sourceid><sourceid>M0P</sourceid><sourceid>M1O</sourceid><recordid>eNqNkctLAzEQhxdR8Hn3Iix48VKdSbLZ5FhqfSEqVM8hzSbtln2Z3VX8702ttCAKnhKYb2Z-wxdFxwjnDFBc5IvMducEkCEAAm5Fe5hQOaCIcnv9B9iN9tt2AUBQMroXjSd18ZZXs7ib23jUe5-bvujLeGJfe1uZZeXJ19PClvF73s3jy4dhPKrLpu-WpWHT-Fqb-WG043TR2qPv9yB6uRo_j24G94_Xt6Ph_cAwIbuBJSlkzCKRWuA0A02QojHEcueMSBM91ZoLio4DQyEymxHHHXM2JVMgjtGD6Gw1N6wN-dpOlXlrbFHoytZ9q5DzVFKBafIfFIBRzsg_0IRxziXDgJ7-QBd176twsyKSopASKAQKVpTxddt661Tj81L7D4WglrbUly21sRVaTlYtNhhY4-M7hAQog03GfJZvdv4co5rMBfT6N7SaqeBYbRyrleO_IiGhnwcxtbw</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Debbah, Amina</creator><creator>Ben Ali, Yamina Mohamed</creator><general>IGI Global</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7SC</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88B</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>CNYFK</scope><scope>DWQXO</scope><scope>E3H</scope><scope>F2A</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0P</scope><scope>M1O</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PKEHL</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PRQQA</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>7TM</scope><scope>8BP</scope></search><sort><creationdate>20141001</creationdate><title>Solving the Curriculum Sequencing Problem with DNA Computing Approach</title><author>Debbah, Amina ; Ben Ali, Yamina Mohamed</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c489t-e270d4e129a81bd0a2131cc2e6ffc875abaa6831f604188ded2f6f4fe72b02f43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Approximation</topic><topic>Computation</topic><topic>Computer System Design</topic><topic>Curricula</topic><topic>Curriculum</topic><topic>Customization</topic><topic>Deoxyribonucleic acid</topic><topic>Distance education</topic><topic>Distance learning</topic><topic>Efficiency</topic><topic>Electronic Learning</topic><topic>Gene sequencing</topic><topic>Heuristics</topic><topic>Knowledge Management</topic><topic>Learning</topic><topic>Methods</topic><topic>Personalized</topic><topic>Scaling</topic><topic>Sequencing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Debbah, Amina</creatorcontrib><creatorcontrib>Ben Ali, Yamina Mohamed</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection【Remote access available】</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Education Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection</collection><collection>Advanced Technologies &amp; Aerospace Database‎ (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>Library &amp; Information Science Collection</collection><collection>ProQuest Central</collection><collection>Library &amp; Information Sciences Abstracts (LISA)</collection><collection>Library &amp; Information Science Abstracts (LISA)</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM global</collection><collection>Education Database (ProQuest)</collection><collection>Library Science Database</collection><collection>Engineering Database</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied &amp; Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Social Sciences</collection><collection>Engineering collection</collection><collection>ProQuest Central Basic</collection><collection>Nucleic Acids Abstracts</collection><collection>Library &amp; Information Sciences Abstracts (LISA) - CILIP Edition</collection><jtitle>International journal of distance education technologies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Debbah, Amina</au><au>Ben Ali, Yamina Mohamed</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1050340</ericid><atitle>Solving the Curriculum Sequencing Problem with DNA Computing Approach</atitle><jtitle>International journal of distance education technologies</jtitle><date>2014-10-01</date><risdate>2014</risdate><volume>12</volume><issue>4</issue><spage>1</spage><epage>18</epage><pages>1-18</pages><issn>1539-3100</issn><eissn>1539-3119</eissn><abstract>In the e-learning systems, a learning path is known as a sequence of learning materials linked to each others to help learners achieving their learning goals. As it is impossible to have the same learning path that suits different learners, the Curriculum Sequencing problem (CS) consists of the generation of a personalized learning path for each learner according to one's learner profile. This last one includes one's knowledge and preferences. In fact the CS problem is considered as NP hard problem, so many heuristics and meta-heuristics have been used to approximate its solutions. Therefore the results have shown their efficiency to solve such a problem. This work presents a DNA computing approach that aims to solve the CS problem.</abstract><cop>Hershey</cop><pub>IGI Global</pub><doi>10.4018/ijdet.2014100101</doi><tpages>18</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1539-3100
ispartof International journal of distance education technologies, 2014-10, Vol.12 (4), p.1-18
issn 1539-3100
1539-3119
language eng
recordid cdi_proquest_miscellaneous_1654666941
source ABI/INFORM global; Library & Information Science Abstracts (LISA); Social Science Premium Collection; Library & Information Science Collection; ERIC; Education Collection
subjects Approximation
Computation
Computer System Design
Curricula
Curriculum
Customization
Deoxyribonucleic acid
Distance education
Distance learning
Efficiency
Electronic Learning
Gene sequencing
Heuristics
Knowledge Management
Learning
Methods
Personalized
Scaling
Sequencing
title Solving the Curriculum Sequencing Problem with DNA Computing Approach
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-25T12%3A23%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Solving%20the%20Curriculum%20Sequencing%20Problem%20with%20DNA%20Computing%20Approach&rft.jtitle=International%20journal%20of%20distance%20education%20technologies&rft.au=Debbah,%20Amina&rft.date=2014-10-01&rft.volume=12&rft.issue=4&rft.spage=1&rft.epage=18&rft.pages=1-18&rft.issn=1539-3100&rft.eissn=1539-3119&rft_id=info:doi/10.4018/ijdet.2014100101&rft_dat=%3Cproquest_cross%3E2931899030%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c489t-e270d4e129a81bd0a2131cc2e6ffc875abaa6831f604188ded2f6f4fe72b02f43%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2931899030&rft_id=info:pmid/&rft_ericid=EJ1050340&rfr_iscdi=true