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Ant Colonization Optimisation Algorithm for knowledge-based Learning
Approved Approved  +
ApprovedBy Mari Helén Varøy  +
DueDate 1 August 2016  +
Keywords Semantic Web  + , Education  +
Methods The tools and methods in this thesis are bThe tools and methods in this thesis are based on * A set of scenario, describing the challenges * A list of requirements being extracted from the scenarios * A description and evaluation of technologies and tools being candidates for solutions * A functional architecture/description of the envisaged system * An implementation of the core concepts * A demonstration of the solution * An evaluation of the solution, including a critical review of the descisions taken earlier * Conclusions * Referencess taken earlier * Conclusions * References  +
Objective This thesis will investigate possibilitiesThis thesis will investigate possibilities for deducing good learning paths to subjects by applying the Ant Colony Optimisation algorithm to a dynamic knowledge graph populated asynchronously by cooperative human learners. Today knowledge about online learning resources are not shared systematically. A framework for collecting and sharing online learning resources will be developed using semantic web technology and used by students at Bergen University College. by students at Bergen University College.  +
Pre-Knowledge This thesis includes a reasonable amount of programming. The envisaged thesis is based on radio communications, thus expects the user to have followed at least two radio-related courses  +
Schedule The envisaged time schedule (for a long thThe envisaged time schedule (for a long thesis/60 ECTS) is: :T0 0 starting month, T0+m denotes the month where the contribution to a certain chapter shalle be finalized :T0+2 months: create an initial page describing the scenario :T0+3: Provide a list of technologies which you think are necessary for the thesis :T0+4: Establish the table of content (TOC) of the envisaged thesis. Each section shall contain 3-10 keywords describing the content of that section :T0+7: Provide a draft of section 2 (scenario) and 3 (technologies) :T0+10: Establish a draft on what to implement/architecture :T0+11: Set-up an implementation, testing and evaluation plan :T0+15: Evaluate your solution based on a set of parameters, keep in mind <i>there is no such thing as a free lunch</i> :T0+17: Deliver the thesislunch</i> :T0+17: Deliver the thesis  +
Supervisor Josef Noll  + , Kristin Ran Choi Hinna  +
ThesisStatus Finished  +
Titel Ant Colonization Optimisation Algorithm for knowledge-based Learning  +
User Robin Garen Aaberg  +
Creation dateThis property is a special property in this wiki. 1 November 2015 13:56:15  +
Categories Thesis  +
Modification dateThis property is a special property in this wiki. 8 December 2016 14:54:04  +
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