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Full-Text Articles in Engineering
Bayesian Learning And Predictability In A Stochastic Nonlinear Dynamical Model, John Parslow, Noel Cressie, Edward P. Campbell, Emlyn Jones, Lawrence Murray
Bayesian Learning And Predictability In A Stochastic Nonlinear Dynamical Model, John Parslow, Noel Cressie, Edward P. Campbell, Emlyn Jones, Lawrence Murray
Faculty of Engineering and Information Sciences - Papers: Part A
Bayesian inference methods are applied within a Bayesian hierarchical modelling framework to the problems of joint state and parameter estimation, and of state forecasting. We explore and demonstrate the ideas in the context of a simple nonlinear marine biogeochemical model. A novel approach is proposed to the formulation of the stochastic process model, in which ecophysiological properties of plankton communities are represented by autoregressive stochastic processes. This approach captures the effects of changes in plankton communities over time, and it allows the incorporation of literature metadata on individual species into prior distributions for process model parameters. The approach is applied …
Evaluations Of Heuristic Algorithms For Teamwork-Enhanced Task Allocation In Mobile Cloud-Based Learning, Geng Sun, Jun Shen, Junzhou Luo, Jianming Yong
Evaluations Of Heuristic Algorithms For Teamwork-Enhanced Task Allocation In Mobile Cloud-Based Learning, Geng Sun, Jun Shen, Junzhou Luo, Jianming Yong
Faculty of Engineering and Information Sciences - Papers: Part A
Enhancing teamwork performance is a significant issue in mobile cloud-based learning. We introduce a service oriented system, Teamwork as a Service (TaaS), to realize a new approach for enhancing teamwork performance in the mobile cloud environment. To coordinate most learners' talents and give them more motivation, an appropriate task allocation is necessary. Utilizing the Kolb's learning style (KLS) to refine learner's capabilities, and combining their preferences and tasks' difficulties, we formally describe this problem as a constraint optimization model. Two heuristic algorithms, namely genetic algorithm (GA) and simulated annealing (SA), are employed to tackle the teamwork-enhanced task allocation, and their …
Teamwork As A Service: A Cloud-Based System For Enhancing Teamwork Performance In Mobile Learning, Geng Sun, Jun Shen
Teamwork As A Service: A Cloud-Based System For Enhancing Teamwork Performance In Mobile Learning, Geng Sun, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part A
Although cloud computing helps learners to access online learning content through commonly used devices, it can be difficult to collaborate in the mobile environment. We develop a service-oriented system, ‘Teamwork as a Service’ (TaaS), to facilitate learners’ team learning activities. The five main services of TaaS facilitate a teamwork-enhanced learning flow associated with the theory of Kolb’s team learning experience, providing learners with an introduction, a ‘jigsaw classroom’, schedule planning, and mutual supervision during the whole process. Specifically, TaaS enables a rational grouping mechanism that allocates learners to their appropriate tasks in order to give their best performance. TaaS is …
Facilitating Collaborative Learning In Taas: A Mobile Cloud System For Enhancing Teamwork Performance, Geng Sun, Jun Shen
Facilitating Collaborative Learning In Taas: A Mobile Cloud System For Enhancing Teamwork Performance, Geng Sun, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part A
Mobile cloud-based learning is a novel trend that brings many advantages to distributed learners to achieve collaborative learning, but it still lacks of mechanisms to enhance their teamwork performances. To make up that shortcoming, combining the features of cloud environment, we have identified a learning flow, a specification of workflow, based on Kolb team learning experience. This novel learning flow can be executed by our newly designed system, Teamwork as a Service (TaaS), in conjunction with cloud-hosting learning management systems, following which learners benefit from functions given by cloudbased services, separately for organizing cloud jigsaw classroom, planning and publishing tasks, …
Video Resources For Supporting Learning In Mathematics Rich Disciplines: A Teaching Perspective, Bothaina Bukhatwa, Anne L. Porter, Mark I. Nelson
Video Resources For Supporting Learning In Mathematics Rich Disciplines: A Teaching Perspective, Bothaina Bukhatwa, Anne L. Porter, Mark I. Nelson
Faculty of Engineering and Information Sciences - Papers: Part A
Video capture technology allows video to be readily recorded and edited. The distribution of videos through e-learning systems provides learning support to students. This article discusses our experiences in developing video genre resources. The "overview" video resource is found to be a useful technique for conveying the structure of a topic. Video resources can be combined in a variety of ways using concept maps, learning design maps and/or folder based approaches. We provide our perspective regarding the productio nof video resources using tablet technology tools. The relative ease and flexibility of the technology is discussed. The aim of this article …
Meta-Development Of Resources And Learning Designs: Providing Ict-Based Tools For Use By Mathematics Teachers, Maman Fathurrohman, Anne Porter, Annette Worthy
Meta-Development Of Resources And Learning Designs: Providing Ict-Based Tools For Use By Mathematics Teachers, Maman Fathurrohman, Anne Porter, Annette Worthy
Faculty of Engineering and Information Sciences - Papers: Part A
This paper is a report of a meta-development research project of mathematical learning resources and learning designs. The process of meta-development was conducted through mapping of mathematical learning resources and learning designs based on an observation of 119 participating teachers in Bojonegara Sub District, Indonesia. The outcomes of the meta-development include two prototypes that are similar in concept, yet different in function: the first prototypes can be use for mapping mathematical learning resources in the Internet, while the second prototype can be use for documenting and sharing mathematics teaching and learning experiences. The prototypes were evaluated based on trial with …
An Exploratory Study Of Personal Reflection And Collaboration Skills Using Online Collaborative Tool In Project-Based Learning, Sim Kim Lau, Wendy Meyers
An Exploratory Study Of Personal Reflection And Collaboration Skills Using Online Collaborative Tool In Project-Based Learning, Sim Kim Lau, Wendy Meyers
Faculty of Engineering and Information Sciences - Papers: Part A
By deepening our understanding of the use of Web 2.0 for reflective practice, knowledge co-construction and project based learning this paper aims to contribute to our understanding of collaborative learning. The paper investigates a case study of a post-graduate system development subject to increase student learning through the development of students' personal reflection and collaboration skills. The project aims to develop key foundational knowledge and skills identified in the IS 2010 curriculum guidelines, i.e. the ability to work collaboratively. Of particular interest was the ability of student collaboration combined with personal reflective learning to lead to negotiation of meaning and …
An Adaptive Bilateral Negotiation Model Based On Bayesian Learning, Chao Yu, Fenghui Ren, Minjie Zhang
An Adaptive Bilateral Negotiation Model Based On Bayesian Learning, Chao Yu, Fenghui Ren, Minjie Zhang
Faculty of Engineering and Information Sciences - Papers: Part A
Endowing the negotiation agent with a learning ability such that a more beneficial agreement might be obtained is increasingly gaining attention in agent negotiation research community. In this paper, we propose a novel bilateral negotiation model based on Bayesian learning to enable self-interested agents to adapt negotiation strategies dynamically during the negotiation process. Specifically, we assume that two agents negotiate over a single issue based on time-dependent tactic. The learning agent has a belief about the probability distribution of its opponent's negotiation parameters (i.e., the deadline and reservation offer). By observing opponent's historical offers and comparing them with the fitted …