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Displaying Results 51 - 75 of 2689 on page 3 of 108
Marked
Mark
An Evaluation of Gamification to Assess Students’ Learning on Their Understanding of First Year Computer Science Programming Module
(2016)
Gebremichael, Daniel
An Evaluation of Gamification to Assess Students’ Learning on Their Understanding of First Year Computer Science Programming Module
(2016)
Gebremichael, Daniel
Abstract:
This research examines the use of gamification to develop an assessment tool, to assess students’ learning of a first year computer science module. The students’ undertaking of the first semester Programming and Algorithms module in 2015 were assessed on their knowledge of the programming language Python. The incorporation of gamification when assessing students can have various potential benefits. The research aims to identify these benefits and issues. Assessments and games have almost opposite effects on opinions on people, as games are usually expected to have an entertainment value but this is not the case for assessments. The research examines if the game elements in the assessment tool causes the students to see this tool differently. A variety of experiments were carried out and the organisation of these experiments were vital to the success of the project. The first assessment was to test students through a written test. The findings of this experiment were used in order to...
https://arrow.dit.ie/scschcomdis/80
Marked
Mark
Supporting Personalised Simulations: A Pedagogic Support Framework For Modelling And Composing Adaptive Dialectic Simulations
(2007)
GAFFNEY, CONOR; WADE, VINCENT PATRICK; DAGGER, DECLAN
Supporting Personalised Simulations: A Pedagogic Support Framework For Modelling And Composing Adaptive Dialectic Simulations
(2007)
GAFFNEY, CONOR; WADE, VINCENT PATRICK; DAGGER, DECLAN
http://hdl.handle.net/2262/67225
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Mark
Bisimulations for Communicating Transactions (Extended Abstract)
(2014)
HENNESSY, MATTHEW; KOUTAVAS, VASILEIOS; Spaccasassi, Carlo
Bisimulations for Communicating Transactions (Extended Abstract)
(2014)
HENNESSY, MATTHEW; KOUTAVAS, VASILEIOS; Spaccasassi, Carlo
Abstract:
We develop a theory of bisimulations for a simple language containing communicating transactions, obtained by dropping the isolation requirement of standard transactions. Such constructs have emerged as a useful programming abstraction for distributed systems. In systems with communicating transactions actions are tentative, waiting for certain transactions to commit before they become permanent. Our theory captures this by making bisimulations history-dependent, in that actions performed by transactions need to be recorded. The main requirement on bisimulations is the systems being compared need to match up exactly in the permanent actions but only those. The resulting theory is fully abstract with respect to a natural contextual equivalence and, as we show in examples, provides an effective verification technique for comparing systems with communicating transactions.
http://hdl.handle.net/2262/72971
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Mark
Retention in Computer Science: a Level 6 Experience in an Irish Third Level Institute.
(2012)
Ferris, Jane
Retention in Computer Science: a Level 6 Experience in an Irish Third Level Institute.
(2012)
Ferris, Jane
Abstract:
The current World economic recession has brought significant changes to the lives of many Irish citizens and brought many back into the education system. In 2010 in response to the need to provide retraining opportunities for the long term unemployed some third level institutes introduced re-training programmes. This paper describes the retention experience of a Computer Science department of an Irish third level institute managing level 6 part-time computing students. The paper reports the barriers for students in continuing on the programmes from exit interviews and identifies potential strategies to engage students in their chosen programmes.
https://arrow.dit.ie/scschcomcon/113
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Who am I? ~ Undergraduate Computer Science Student
(2012)
Ferris, Jane
Who am I? ~ Undergraduate Computer Science Student
(2012)
Ferris, Jane
Abstract:
As part of a school review process a survey of the students was designed to gain insight into who the students of the school were. The survey was a voluntary anonymous online survey. Students were able to skip questions and select more than one option in some questions. This was to reduce frustration with participation in the survey and ensure that the survey was completed. This conference details the average undergraduate Computer Science student of a large third level institute.
https://arrow.dit.ie/scschcomrep/3
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Mark
Transfer Between Analogies: How Solving One Analogy Problem Helps to Solve Another
(1995)
Keane, Mark T.
Transfer Between Analogies: How Solving One Analogy Problem Helps to Solve Another
(1995)
Keane, Mark T.
Abstract:
TCD-CS-95-07
This paper deals with transfer between analogies; with what people acquire from one analogy problem-solving episode that can be re-applied to a subsequent analogy, problem-solving episode. This issue must be resolved if we are to understand the nature of expertise and the appropriate use of analogy in education. There are two main explanations of what subjects acquire from an analogy problem-solving episode. The schema-induction hypothesis maintains that subjects acquire an abstract schema of the analogous domains, that can be re-applied to a subsequent situation. The predicatemapping hypothesis asserts that subjects acquire a set of predicate-mappings than can be re-used in a later situation. While there is empirical evidence to support each of these hypotheses, no critical test between them has been carried out. Furthermore, no previous research has examined transfer between analogies; that is, transfer between two distinct, analogy problem-solving episodes. The p...
http://hdl.handle.net/2262/12880
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Mark
Case-based User Profiling in a Personal Travel Assistant
(1999)
Waszkiewicz, Pawel; Cunningham, Padraig
Case-based User Profiling in a Personal Travel Assistant
(1999)
Waszkiewicz, Pawel; Cunningham, Padraig
Abstract:
TCD-CS-1999-12
[Introduction] In this paper we present an architecture for a Personal Travel Assistant (PTA). We focus on the ability of this PTA to elaborate a user?s travel requirements and evaluate offers. These decisions are based on a User Profile that has the interesting characteristic that it adopts a lazy policy on learning from a user?s past behavior. Information on user behaviour is stored in a case base in the form of a Case Retrieval Net (Lenz, Auriol & Manago, 1998). A Retrieval Net can capture context-sensitive similarity information which is important in this domain. This lazy approach also has the advantages that it is incremental, extendible and allows flexible reuse of the information. In contrast, eager approaches must make assumptions about how the learned knowledge is to be used. This user profiling system is being implemented as part of the Personal Travel Assistance scenario proposed by FIPA (Foundation for Intelligent Physical Agents).
http://hdl.handle.net/2262/13011
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?Drawing Illusions? ? a case study in the incorrectness of diagrammatic reasoning
(1999)
Lemon, Oliver
?Drawing Illusions? ? a case study in the incorrectness of diagrammatic reasoning
(1999)
Lemon, Oliver
Abstract:
TCD-CS-1999-17
In ?Something to Reckon With? [6], a system for diagramming syllogistic inferences using straight line segments is presented (see also Englebretsen [5]). In the light of recent research on the representational power of diagrammatic representation systems (Lemon and Pratt [12, 13]) we point out some problems with the proposal, and indeed, with any proposal for representing logically possible situations diagrammatically. We shall first outline the proposed linear diagrammatic system of Englebretsen [5], and then show by means of counterexamples that it is inadequate as a representation scheme for general logical inferences (the task for which the system is intended). We also show that modifications to the system fail to remedy the problems. The considerations we present are not limited to the particular proposals of Englebretsen [5, 6]; we thus draw a more general moral about the use of spatial relations in representation systems.
http://hdl.handle.net/2262/13012
Marked
Mark
The Limits of CBR in Software Project Estimation
(1999)
Delany, Sarah Jane; Cunningham, Padraig
The Limits of CBR in Software Project Estimation
(1999)
Delany, Sarah Jane; Cunningham, Padraig
Abstract:
TCD-CS-1999-21
Software project cost estimation is difficult because of problems of quantifying project size and because of the continual emergence of new technology. This presents as a classic example of a weak theory domain where experience is key and appears well suited to CBR. Indeed there are several reports in the literature on the use of CBR in project cost estimation. Research described to date has focused on applications late in the development life cycle and in a narrow domain. In this paper we describe existing research and explore the use of CBR beyond these limits. We look at the use of CBR for estimation earlier in the life cycle and for use in broader domains where more abstract remindings need to be supported.
http://hdl.handle.net/2262/13014
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Mark
Shaping a CBR view with XML
(1999)
Hayes, Conor; Cunningham, Padraig
Shaping a CBR view with XML
(1999)
Hayes, Conor; Cunningham, Padraig
Abstract:
TCD-CS-1999-23
Case Based Reasoning has found increasing application on the Internet as an assistant in Internet commerce stores and as a reasoning agent for online technical support. The strength of CBR in this area stems from its reuse of the knowledge base associated with a particular application, thus providing an ideal way to make personalised configuration or technical information available to the Internet user. Since case data may be one aspect of a company?s entire corporate knowledge system, it is important to integrate case data easily within a company?s IT infrastructure, using industry specific vocabulary. We suggest XML as the likely candidate to provide such integration. Some applications have already begun to use XML as a case representation language. We review these and present the idea of a standard case view in XML that can work with the vocabularies or namespaces being developed by specific industries. Earlier research has produced version 1.0 of a Case Based ...
http://hdl.handle.net/2262/13015
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Mark
Modelling of Engineering Thermal Problems: An Implementation using CBR with Derivational Analogy
(1993)
Finn, Donal; Slattery, Sean; Cunningham, Padraig
Modelling of Engineering Thermal Problems: An Implementation using CBR with Derivational Analogy
(1993)
Finn, Donal; Slattery, Sean; Cunningham, Padraig
Abstract:
TCD-CS-1993-20
An interactive cased based reasoning tool for assisting engineers with the mathematical modelling tasks associated with the analysis of thermal problems is described. By representing fundamental thermal modelling scenarios as cases, complex physical systems are modelled in a piecewise fashion by successive application of matching cases. Retrieval is based on the use of qualitative indices, derivational analogy allows for generative adaption of retrieved cases, thereby providing a basis for validating cases in the context of the problem under consideration. This work represents an alternative perspective to model based reasoning approaches that have been applied to model generation to date.
http://hdl.handle.net/2262/12698
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Mark
Complexity of Adaptation in Real-World Case-Based Reasoning Systems
(1993)
Smyth, Barry; Cunningham, Padraig
Complexity of Adaptation in Real-World Case-Based Reasoning Systems
(1993)
Smyth, Barry; Cunningham, Padraig
Abstract:
TCD-CS-93-23
The essence of Case-Based Reasoning (CBR) as a problem solving paradigm is that solutions are generated by adapting the solutions of similar problems rather than solving the problem from first principles. In this paper we present a categorisation of problem solving tasks, arranged according to complexity. In addition we categorise CBR systems according to the complexity of the adaptation process involved. We describe three CBR systems; a system for property valuation, a system for software design and a system for modelling in engineering analysis. We discuss the manner in which the advantage of a CBR solution to these problems shifts as the task becomes more complex and the complexity of the adaptation process changes.
http://hdl.handle.net/2262/12938
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Mark
Where's Waldo? - or - A taxonomy for thinking about location in pervasive computing
(2004)
Dobson, Simon
Where's Waldo? - or - A taxonomy for thinking about location in pervasive computing
(2004)
Dobson, Simon
Abstract:
TCD-CS-2004-05
[Introduction] Virtually all pervasive computing systems use some form of location for affecting the system's behaviour. Location-based services are available commercially, albeit in a primitive form, from many mobile telecommunications providers. Despite this, location is a remarkably subtle concept to reason with. There are a huge number of possible answers to what is superficially a simple question: each kind of answer reveals something about the way in which we conceptualise location and any services based upon it. This may seem like a trivial observation, but it cuts to the heart of the development of programming environments for pervasive computing. Software design is the process of mapping concepts to programming structures, whether one is developing object models or complete programming languages. A system is easy to program when the developer can express his concepts directly or with minimal mental gymnastics; conversely, the developer takes on a con...
http://hdl.handle.net/2262/13280
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Mark
Context Boosting Collaborative Recommendations
(2003)
Hayes, Conor; Cunningham, Padraig
Context Boosting Collaborative Recommendations
(2003)
Hayes, Conor; Cunningham, Padraig
Abstract:
TCD-CS-2003-26
This paper describes the operation of and research behind a networked application for the delivery of personalised streams of music at Trinity College Dublin. Smart Radio is a web based client-server application that uses streaming audio technology and recommendation techniques to allow users build, manage and share music programmes. Since good content descriptors are difficult to obtain in the audio domain, we originally used automated collaborative filtering, a `content less? approach as our recommendation strategy. We describe how we improve the ACF technique by leveraging a light content-based technique that attempts to capture the user?s current listening `context?. This involves a two stage retrieval process where ACF recommendations are ranked according to the user?s current interests. Finally, we demonstrate a novel online evaluation strategy that pits the ACF strategy against the context-boosted strategy in a real time competition.
http://hdl.handle.net/2262/12579
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Smart Radio - a proposal
(1999)
Hayes, Conor; Cunningham, Padraig
Smart Radio - a proposal
(1999)
Hayes, Conor; Cunningham, Padraig
Abstract:
TCD-CS-1999-24
There is significant value in having predictions for an item before deciding whether to invest time or money in consuming that item. In a web based scenario where the items are multimedia items such as audio, recommendations can be made to users based on an understanding of their previous consumption or their indications of likes and dislikes. We examine two types of recommendation: content based and non-content or collaborative recommendation. We then apply out thinking to the area of new internet services such as online radio, and propose an architecture for an intelligent music radio system. We then suggest the efficacy of using conceptual clustering techniques in such a paradigm.
http://hdl.handle.net/2262/13016
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Mark
On balancing client - server load in intelligent web-based applications involving dialog
(1999)
Doyle, Michelle; Cunningham, Padraig
On balancing client - server load in intelligent web-based applications involving dialog
(1999)
Doyle, Michelle; Cunningham, Padraig
Abstract:
TCD-CS-1999-25
With the explosive growth of the Internet have come problems of increased server load and network latency. This means that systems that require interchange of data between server and client over the network can be slow to unusable (at peak times). We are investigating methods for developing distributed CBR systems which minimise the load on the servers and the network, thus increasing response time and usability. The first part of this research focuses on balancing load in a client/server situation that involves a long-lived dialog. This report discusses the various issues to be tackled when attempting to effectively balance the processing load.
http://hdl.handle.net/2262/13017
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Mark
Knowledge Engineering in a Real World Case-Based Reasoning Application
(1999)
Cunningham, Padraig; Bonzano, Andrea
Knowledge Engineering in a Real World Case-Based Reasoning Application
(1999)
Cunningham, Padraig; Bonzano, Andrea
Abstract:
TCD-CS-1999-36
Case-Based Reasoning (CBR) has emerged from research in cognitive psychology as a model of human memory and remembering. It has been embraced by researchers of AI applications as a methodology that avoids some of the knowledge acquisition and reasoning problems that occur with other methods for developing knowledge-based systems. In this paper we propose that, in developing knowledge based systems, knowledge engineering addresses two tasks. There is a problem analysis task that produces the problem representation and there is the task of developing the inference mechanism. CBR has an impact on the second of these tasks but helps less with the first. We argue that in some domains this problem analysis process can be significant and propose an iterative methodology for addressing it. To evaluate this, we describe the application of case-based reasoning to the problem of aircraft conflict resolution in a system called ISAC. We describe the application of this iterati...
http://hdl.handle.net/2262/13018
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Mark
A neural network approach to auditory streaming
(1999)
Dicke, Ulrike
A neural network approach to auditory streaming
(1999)
Dicke, Ulrike
Abstract:
TCD-CS-1999-39
This paper suggests a neural network architecture for the streaming of an acoustic input using fundamental grouping cues of the mammalian auditory system. The auditory periphery is simulated using biologi- cally relevant models, and the primary auditory cortex is represented by a neural network layer, in which three di#11;erent features of the input are mapped and streamed. Finally, an attentional searchlight that is driven by the cortical network neurons, focuses on a selected cortical area representing a listener who focuses their attention on a distinct acoustic input.
http://hdl.handle.net/2262/13019
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Mark
Adaptation as a Selection Constraint On Analogical Mapping
(1993)
Keane, Mark T.
Adaptation as a Selection Constraint On Analogical Mapping
(1993)
Keane, Mark T.
Abstract:
TCD-CS-93-28
In any given analogy, there are potentially a large number of possible mapping interpretations. One of the key issues in analogy research is how one of these mappings comes to be selected as optimal and used as the basis for the analogical comparison. It is well-established that structural factors, notably systematicity, can act as selection constraints on mapping. The present work tests to see if pragmatic and adaptation factors can also act as selection constraints on mapping. The selection of a mapping based on pragmatic factors proposes that people can exploit the higher-order, schematic structure of a domain to select one mapping over another. With respect to adaptation factors, the proposal is that a mapping will be selected if it is evaluated as being easily adapted relative to other competing mappings. Both of these predictions are tested in a novel, problem solving paradigm. The main finding is that adaptation factors do act as a selection constraint but th...
http://hdl.handle.net/2262/12941
Marked
Mark
Design Synthesis: A Model of Hierarchical Case-Based Reasoning
(1993)
Smyth, Barry; Finn, Donal; Keane, Mark T.
Design Synthesis: A Model of Hierarchical Case-Based Reasoning
(1993)
Smyth, Barry; Finn, Donal; Keane, Mark T.
Abstract:
TCD-CS-93-29
A variety of artificial intelligence techniques have been used in attempts to automate design synthesis tasks. Two common approaches are case-based and decompositional design. While powerful techniques in their own right, their integration has lead to a new generation of design synthesis systems capable of tackling a larger range of problems with greater effectiveness. In this paper previous attempts at integrating these approaches are examined in a number of design systems. Although significant advances have been made, important shortcomings still exist. The main focus of this paper is to address the limitations of these design synthesis models. To this end Deja Vu, a new hybrid model of design synthesis, has been developed and is described. Deja Vu integrates decompositional and case-based approaches in a framework that exploits the power of experiential knowledge, and benefits from far greater domain applicability when compared to existing design techniques. Two ...
http://hdl.handle.net/2262/12942
Marked
Mark
Retrieval Issues in Real-World CBR Applications How far can we go with discrimination-nets?
(1992)
Cunningham, Padraig; Smyth, Barry; Finn, Donal; Cahill, Eamonn
Retrieval Issues in Real-World CBR Applications How far can we go with discrimination-nets?
(1992)
Cunningham, Padraig; Smyth, Barry; Finn, Donal; Cahill, Eamonn
Abstract:
TCD-CS-92-37
In this paper we present a proposition and ponder a question. We propose that a useful perspective on analogical reasoning and CBR is to consider them on a continuum of abstraction of remindings. This is an alternative to the conventional view where CBR and analogical reasoning are seen as separate endeavours with analogical reasoning dealing with remindings between domains and CBR concerned with remindings within one domain. The question is how far towards the abstract end of the continuum can the index-based retrieval techniques that are effective in CBR be used (eg. discrimination networks). We are considering episode retrieval as a two stage process; the first stage being the initial filtering of the case base, and the second stage selecting the best case from this candidate set. We focus on the base filtering stage and conclude that discrimination networks are adequate for quite complex applications. However, problems arise when the system is required to suppor...
http://hdl.handle.net/2262/12758
Marked
Mark
An Object-Oriented Approach for Replication Management
(1992)
Gourhant, Yvon
An Object-Oriented Approach for Replication Management
(1992)
Gourhant, Yvon
Abstract:
TCD-CS-92-20
http://hdl.handle.net/2262/12943
Marked
Mark
Advanced Image Understanding and Autonomous Systems
(1992)
Vernon, David
Advanced Image Understanding and Autonomous Systems
(1992)
Vernon, David
Abstract:
TCD-CS-92-05
The ultimate goal of most image understanding systems is to produce an unambiguous 3-D representation of the local visual environment. This representation can then be employed by robotic systems to effect some meaningful action. A great deal of research effort is concerned with the development of visual and 'manipulative' representations, and their generative processes, which allow for the effective linking of such visual perception and robotic action. Part of the motivation for this effort is the desire to develop autonomous systems. It is argued in this paper that the requirements for the development of autonomous systems are not fully compatible with the current representation-based A.I. paradigm. While this approach is ideal for the construction of goal-oriented systems which function in environments that can be speci ed a priori, it does not, and cannot, address the problems encountered when adaptive, self-determining, autonomous systems are required....
http://hdl.handle.net/2262/12779
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Mark
A Comparison of Model-Based and Incremental Case-Based Approaches to Electronic Fault Diagnosis
(1994)
Cunningham, Padraig; Smyth, Barry
A Comparison of Model-Based and Incremental Case-Based Approaches to Electronic Fault Diagnosis
(1994)
Cunningham, Padraig; Smyth, Barry
Abstract:
TCD-CS-94-21
CBR seems well suited to fault diagnosis because diagnostic episodes naturally form cases and much of expert competence seems to be based on reuse of old solutions. However, in many diagnosis problems it is difficult to compile a complete case description in advance, consequently the conventional one-shot case retrieval methodology will not work. In this paper we introduce a set of fault diagnosis problems that have this characteristic and we describe a model-based goal-driven system that produces focused questions that request extra information required for diagnosis. The central contribution in this paper is a description of a CBR system that also has this characteristic of producing focused questions in diagnosis. We describe the information theoretic mechanism that allows the CBR system to do this and we present an evaluation of the CBR system and a comparison of the two systems.
http://hdl.handle.net/2262/12780
Marked
Mark
Retrieving Reusable Design Cases: Exploiting Adaptation Knowledge in Design Reuse
(1994)
Smyth, Barry; Keane, Mark T.
Retrieving Reusable Design Cases: Exploiting Adaptation Knowledge in Design Reuse
(1994)
Smyth, Barry; Keane, Mark T.
Abstract:
TCD-CS-94-15
Case-based reasoning has been identified as a potentially fruitful candidate technology with which to investigate the development of automated design systems. Two critical stages in case-based design are design retrieval and design adaptation. In the former, designs that can be reused for a new design problem must be located. In the latter, retrieved designs must be modified to meet the specific demands of the new target situation. In this paper we will address both of these stages in the context of a case-based software design system called Deja Vu. In particular, it will be argued that the notions of design reusability and adaptability are intricately linked and an approach will be described which allows the adaptation requirements of design cases to be accurately predicted during retrieval and subsequently exploited during adaptation. We argue that this approach benefits from improved retrieval accuracy, exibility, and greater overall problem solving effcacy.
http://hdl.handle.net/2262/12783
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