Construction of Learning Path Using Ant Colony Optimization from a Frequent Pattern Graph

Sengupta, Souvik; Sahu, Sandipan; Dasgupta, Ranjan

doi:10.48550/arxiv.1201.3976

Cited by 2 publications

(2 citation statements)

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“…In another work, the authors [9] of this work offer a solution to the issue of navigating unfamiliar terminology in an online learning environment. Understanding the prerequisites for a phrase in order to properly understand it is a problem for learners.…”

Section: Educational Data Mining Methodsmentioning

confidence: 99%

Educational Data Mining: Prospects and Applications

Debang¹,

Hassan

2023

Preprint

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Nowadays, educational institutions gather and save a vast amount of data, including records of student enrollment, attendance, and exam outcomes. Such data can be mined to produce interesting information that is helpful to those who handle it. New ways to assess e-pedagogical learning’s efficiency are required due to the increased interest in it as a crucial teaching and learning process. This paper offers a data mining research scenario for the next 20 years where the setting is e-learning, and the key topic is the assessment component, which is seen as a latent issue in this environment. Our objective is to present an understudied review of educational data mining research on the teaching and learning process while taking the viewpoint of education into consideration.

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Section: Educational Data Mining Methodsmentioning

confidence: 99%

Educational Data Mining: Prospects and Applications

Debang¹,

Hassan

2023

Preprint

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“…Bonabeau,Dorigo,&Theraulaz,(1999)introducedanapproachtorecommendingthesequenceof e-learningmodulesfordistancelearnersbasedonself-organizationtheory.Thearchitecturethey namedas'educationalwayfindingsupport'thatsupportstherecording,processingandpresentation ofcollectivebehaviordesignedtocreateafeedbackloop,guidinglearnersonsuccessfulpathtowards learninggoalsbasedonant-algorithm.Similartechniquescanbeappliedusingaprobabilisticgraph wherenodesarepedagogicalitems,arcsarehypertextlinkswiththeirassociatedprobabilitiesand studentsplaytheroleofantsthattraversethegraph (Dronetal.,2002,Weber,&Specht,1997, Brusilovsky,Ritter,&Schwarz,1997.Paraschool (Dahbi,Elkamoun,&Berraissoul,(2006),Vanden Berg,VanEs,Tattersall,Janssen,Manderveld,Brouns,&Koper,(2005)appliedtheACOheuristics topedagogicmaterialnavigationproblem,andValigiani,Biojout,Jamont,Lutton,&Collet,(2005 experimented with an "ant-hill" method which laid the pheromone depending on how students validatedanitem(successorfailure),soastooptimizelearningpathwithdifferentstudentsthathave differentviews.Style-basedantcolonysystem(SACS)bySemet, Lutton,&Collet,(2003), Wang, Wang,&Huang,(2008)isbasedongrouplearningpatternandemployedanextendedant-colony systemapproach.Itisproposedtoconstructausermodelforfindingsuitablelearningpathfrom graph-basedpathstructureforsolvingmostglobaloptimalproblem. Sengupta, Sahu, & Dasgupta, (2012) also proposed an ant colony optimization approach to achieveadaptivityinsequencingoflearningconcept.Inordertodeterminetherelationamongthe concepttheyutilizethefrequentgraphpattern. Kardan,Ebrahim,&Imani,(2014)proposedtwostagerobustlearningpathalgorithmtermedas ACOMap.Infirststage,theydeterminetheknowledgelevelofthelearnerbasedontheoutcomes ofpretest,inthesecondstage,theyutilizethemetaheuristicmethod,i.e.antcolonyoptimization,to generatealearningpathwhichbestsuitsthelearnerprofile.…”

Section: Background and Preliminariesmentioning

confidence: 99%

A Novel Architecture for Learner-Centric Curriculum Sequencing in Adaptive Intelligent Tutoring System

Singh

Ahuja

Kumar

2018

Journal of Cases on Information Technology

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An ideal face-to-face tutor learner interaction aims to offer learning to the learner in a manner that best suits an individual learner's learning level and learning style. This ability of differentiated instruction has been built in Seis-Tutor Intelligent Tutoring system, developed to offer subject matter knowledge of ‘Seismic Data Interpretation,' a field of geo-physics. The detailed architecture of learner-centric curriculum sequencing module, built to this effect, with its components, sub-components, their interconnected functioning, to generate exclusive learning path, have been described. An algorithm for learner-centric curriculum sequencing, a mathematical model and proposed implementation using a case study has been elaborated.

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Construction of Learning Path Using Ant Colony Optimization from a Frequent Pattern Graph

Cited by 2 publications

References 0 publications

Educational Data Mining: Prospects and Applications

Educational Data Mining: Prospects and Applications

A Novel Architecture for Learner-Centric Curriculum Sequencing in Adaptive Intelligent Tutoring System

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