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Full-Text Articles in Social and Behavioral Sciences
Using Cost-Sensitive Learning And Feature Selection Algorithms To Improve The Performance Of Imbalanced Classification, Fang Feng, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Xuhui Yang
Using Cost-Sensitive Learning And Feature Selection Algorithms To Improve The Performance Of Imbalanced Classification, Fang Feng, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Xuhui Yang
Faculty of Engineering and Information Sciences - Papers: Part A
Imbalanced data problem is widely present in network intrusion detection, spam filtering, biomedical engineering, finance, science, being a challenge in many real-life data-intensive applications. Classifier bias occurs when traditional classification algorithms are used to deal with imbalanced data. As already known, the General Vector Machine (GVM) algorithm has good generalization ability, though it does not work well for the imbalanced classification. Additionally, the state-of-the-art Binary Ant Lion Optimizer (BALO) algorithm has high exploitability and fast convergence rate. Based on these facts, we have proposed in this paper a Cost-sensitive Feature selection General Vector Machine (CFGVM) algorithm based on GVM and …
Automatic Ventricular Nuclear Magnetic Resonance Image Processing With Deep Learning, Binbin Yong, Chen Wang, Jun Shen, Fucun Li, Hang Yin
Automatic Ventricular Nuclear Magnetic Resonance Image Processing With Deep Learning, Binbin Yong, Chen Wang, Jun Shen, Fucun Li, Hang Yin
Faculty of Engineering and Information Sciences - Papers: Part A
Cardiovascular diseases (CVD) seriously threaten the health of human beings, and they have caused widespread concern in recent years. At present, the diagnosis of CVD is mainly conducted by computed tomography (CT), echocardiography and nuclear magnetic resonance (NMR) technologies. NMR imaging technology is widely used in medical applications owing to its characteristics of high resolution and very low radiation. However, manual NMR image segmentation is time-consuming and error-prone, which has led to the research on automatic NMR image segmentation technologies. Researchers tend to explore the ventricular NRM image segmentation to improve the accuracy of CVD diagnosis. In this study, based …
Hybrid Translation And Language Model For Micro Learning Material Recommendation, Jiayin Lin
Hybrid Translation And Language Model For Micro Learning Material Recommendation, Jiayin Lin
Faculty of Engineering and Information Sciences - Papers: Part A
As an emerging pedagogy, micro learning aims to make use of people’s fragmented spare time and provide personalized online learning service, for example, by pushing fragmented knowledge to specific learners. In the context of big data, the recommender system is the key factor for realizing the online personalization service, which significantly determines what information will be fmally accessed by the target learners. In the education discipline, due to the pedagogical requirements and the domain characteristics, ranking recommended learning materials is essential for maintaining the outcome of the massive learning scenario. However, many widely used recommendation strategies in other domains showed …
Student Rules: Exploring Patterns Of Students' Computer-Efficacy And Engagement With Digital Technologies In Learning, Sarah Katherine Howard, Jun Ma, Jie Yang
Student Rules: Exploring Patterns Of Students' Computer-Efficacy And Engagement With Digital Technologies In Learning, Sarah Katherine Howard, Jun Ma, Jie Yang
Faculty of Engineering and Information Sciences - Papers: Part A
Teachers' beliefs about students' engagement in and knowledge of digital technologies will affect technologically integrated learning designs. Over the past few decades, teachers have tended to feel that students were confident and engaged users of digital technologies, but there is a growing body of research challenging this assumption. Given this disparity, it is necessary to examine students' confidence and engagement using digital technologies to understand how differences may affect experiences in technologically integrated learning. However, the complexity of teaching and learning can make it difficult to isolate and study multiple factors and their effects. This paper proposes the use of …
Learning Path Adaptation In Online Learning Systems, Alva Hendi Muhammad, Qingguo Zhou, Ghassan Beydoun, Dongming Xu, Jun Shen
Learning Path Adaptation In Online Learning Systems, Alva Hendi Muhammad, Qingguo Zhou, Ghassan Beydoun, Dongming Xu, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part A
Learning path in online learning systems refers to a sequence of learning objects which are designated to help the students in improving their knowledge or skill in particular subjects or degree courses. In this paper, we review the recent research on learning path adaptation to pursue two goals, first is to organize and analyze the parameter of adaptation in learning path; the second is to discuss the challenges in implementing learning path adaptation. The survey covers the state of the art and aims at providing a comprehensive introduction to the learning path adaptation for researchers and practitioners.
Learning A Pose Lexicon For Semantic Action Recognition, Lijuan Zhou, Wanqing Li, Philip O. Ogunbona
Learning A Pose Lexicon For Semantic Action Recognition, Lijuan Zhou, Wanqing Li, Philip O. Ogunbona
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents a novel method for learning a pose lexicon comprising semantic poses defined by textual instructions and their associated visual poses defined by visual features. The proposed method simultaneously takes two input streams, semantic poses and visual pose candidates, and statistically learns a mapping between them to construct the lexicon. With the learned lexicon, action recognition can be cast as the problem of finding the maximum translation probability of a sequence of semantic poses given a stream of visual pose candidates. Experiments evaluating pre-trained and zero-shot action recognition conducted on MSRC-12 gesture and WorkoutSu-10 exercise datasets were used …
Rational And Self-Adaptive Evolutionary Extreme Learning Machine For Electricity Price Forecast, Chixin Xiao, Zhao Y. Dong, Yan Xu, Ke Meng, Xun Zhou, Xin Zhang
Rational And Self-Adaptive Evolutionary Extreme Learning Machine For Electricity Price Forecast, Chixin Xiao, Zhao Y. Dong, Yan Xu, Ke Meng, Xun Zhou, Xin Zhang
Faculty of Engineering and Information Sciences - Papers: Part A
Electricity price forecast is of great importance to electricity market participants. Given the sophisticated time-series of electricity price, various approaches of extreme learning machine (ELM) have been identified as effective prediction approaches. However, in high dimensional space, evolutionary extreme learning machine (E-ELM) is time-consuming and difficult to converge to optimal region when just relying on stochastic searching approaches. In the meanwhile, due to the complicated functional relationship, objective function of E-ELM seems difficult also to be mined directly for some useful mathematical information to guide the optimum exploring. This paper proposes a new differential evolution (DE) like algorithm to enhance …
Learning Network Storage Curriculum With Experimental Case Based On Embedded Systems, Qingguo Zhou, Jiong Wu, Ting Wu, Jun Shen, Rui Zhou
Learning Network Storage Curriculum With Experimental Case Based On Embedded Systems, Qingguo Zhou, Jiong Wu, Ting Wu, Jun Shen, Rui Zhou
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, we present an experimental case for the course of "Network Storage and Security," which benefited from an improved learning outcome for our students. The newly designed experiments-based contents are merged into the current course to help students obtain practical experiences about network storage. The experiments aim to build a network storage system based on available resources instead of any specialized network storage equipment. Technically, students can learn general practical knowledge of network storage on iSCSI (a network storage protocol based on IP technology) and also the technologies of embedded system. Through the experimental case, we found that …
Facilitating Student And Staff Engagement Across Multiple Offshore Campuses For Transnational Education Using An Immersive Video Augmented Learning Platform, Sasha Nikolic, Wanqing Li
Facilitating Student And Staff Engagement Across Multiple Offshore Campuses For Transnational Education Using An Immersive Video Augmented Learning Platform, Sasha Nikolic, Wanqing Li
Faculty of Engineering and Information Sciences - Papers: Part A
Opportunities in transnational education have been growing across the higher education sector. The incentive for institutions to explore opening offshore satellite campuses includes access to more students and building the institutions reputation across the globe. A number of risks are also associated with transnational education, especially in terms of quality. It is important that students across all campuses receive the same high standard of education. That is, students at offshore campuses should not be placed at a disadvantage compared to students studying at the institutions main campus. This paper explores the possibility of providing students from offshore campuses better access …
Using Online And Multimedia Resources To Enhance The Student Learning Experience In A Telecommunications Laboratory Within An Australian University, Peter J. Vial, Sasha Nikolic, Montserrat Ros, David Stirling, Parviz Doulai
Using Online And Multimedia Resources To Enhance The Student Learning Experience In A Telecommunications Laboratory Within An Australian University, Peter J. Vial, Sasha Nikolic, Montserrat Ros, David Stirling, Parviz Doulai
Faculty of Engineering and Information Sciences - Papers: Part A
A laboratory component of an undergraduate telecommunications course consistently scored poorly for student learning experience on student surveys at an Australian university. Consultation with experienced academic staff revealed the need to modify the teaching resources available for the laboratory to include web-based multimedia and interactive resources. This new material was developed and made available to students and teaching staff in early 2011 via an Australian university e-learning package which was used to deliver the subject. The students and demonstrators were then encouraged to use this new resource to prepare for the three hour laboratory sessions. Surveys of students who took …
Mlaas: A Cloud System For Mobile Micro Learning In Mooc, Geng Sun, Tingru Cui, Shiping Chen, Wanwu Guo, Jun Shen
Mlaas: A Cloud System For Mobile Micro Learning In Mooc, Geng Sun, Tingru Cui, Shiping Chen, Wanwu Guo, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part A
No abstract provided.
Drawing Micro Learning Into Mooc: Using Fragmented Pieces Of Time To Enable Effective Entire Course Learning Experiences, Geng Sun, Tingru Cui, Jianming Yong, Jun Shen, Shiping Chen
Drawing Micro Learning Into Mooc: Using Fragmented Pieces Of Time To Enable Effective Entire Course Learning Experiences, Geng Sun, Tingru Cui, Jianming Yong, Jun Shen, Shiping Chen
Faculty of Engineering and Information Sciences - Papers: Part A
Recently the massive open online course (MOOC) is an emerging trend that attracts many educators’ and researchers’ attentions. Based on our pilot study focusing on the development and operation of MOOC in Australia, we found MOOC is featured with mastery learning and blended learning, but it suffers from low completion rates. Brining micro learning into MOOC can be a feasible solution to improve current MOOC delivery and learning experience. We design a system which aims to provide adaptive micro learning contents as well as learning path identifications customized for each individual learner. To investigate how micro learning can impact learning …
Improving The Laboratory Learning Experience: A Process To Train And Manage Teaching Assistants, Sasha Nikolic, Peter J. Vial, Montserrat Ros, David Stirling, Christian H. Ritz
Improving The Laboratory Learning Experience: A Process To Train And Manage Teaching Assistants, Sasha Nikolic, Peter J. Vial, Montserrat Ros, David Stirling, Christian H. Ritz
Faculty of Engineering and Information Sciences - Papers: Part A
This paper describes in detail a successful training program developed for sessional (part-time or nonpermanent) laboratory demonstrators employed in the Electrical Engineering Department of an Australian university. Such demonstrators play an important role in teaching practical concepts and skills in engineering. The success of the program relies on a centralized approach coordinated by a carefully selected Laboratory Manager responsible for the recruitment, allocation, training, and development of sessional teachers, and for assessing student satisfaction with them. The paper examines the overall impact of the program on these teachers': 1) introducing laboratory material; 2) preparation; 3) communication; 4) interest in student …
Enhancing Teamwork Performance In Mobile Cloud-Based Learning, Geng Sun, Jun Shen
Enhancing Teamwork Performance In Mobile Cloud-Based Learning, Geng Sun, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part A
Mobile cloud-based learning is a novel trend that allows collaborative learning to happen among distributed learners, but it still lacks of mechanisms to enhance teamwork performance. Combining the features of the cloud, we have identified a learning flow based on Kolb team learning experience, executed by cloud-hosting learning management systems in conjunction with our newly designed system, 'Teamwork as a Service (TaaS)'. Each of TaaS's five web services aims to organize a certain type of learning activities, providing learners with an introduction, a 'jigsaw classroom', schedule planning, and mutual supervision during the whole collaborative learning process. In particular, enabling a …
Towards Bringing Adaptive Micro Learning Into Mooc Courses, Geng Sun, Tingru Cui, Kuanching Li, Dongming Xu, Shiping Chen, Jun Shen, Wanwu Guo
Towards Bringing Adaptive Micro Learning Into Mooc Courses, Geng Sun, Tingru Cui, Kuanching Li, Dongming Xu, Shiping Chen, Jun Shen, Wanwu Guo
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper we illustrate a proposal with regard to providing learners adaptive micro learning experiences, which can be fulfilled within fragmented time pieces. The framework of our system is demonstrated, while it aims to deliver customized micro learning contents taking into account learners’ specific demands, learning styles, preference and context.
Relationship Between Learning In The Engineering Laboratory And Student Evaluations, Sasha Nikolic, Thomas F. Suesse, Thomas Goldfinch, Timothy J. Mccarthy
Relationship Between Learning In The Engineering Laboratory And Student Evaluations, Sasha Nikolic, Thomas F. Suesse, Thomas Goldfinch, Timothy J. Mccarthy
Faculty of Engineering and Information Sciences - Papers: Part A
BACKGROUND OR CONTEXT This study is built upon previous research that developed an instrument to measure the learning objectives of the laboratory across the cognitive, psychomotor and affective domains with research that investigated student evaluations of sessional laboratory demonstrators, laboratory experiments and facilities. This research highlighted the importance of laboratory work in engineering education, and the need to improve our understanding of how learning occurs in the laboratory. PURPOSE OR GOAL Student evaluations are heavily used in higher education, and a greater understanding is needed on how these evaluations relate to learning. APPROACH An instrument used to measure learning in …
Learning Diagnostic Diagrams In Transport-Based Data-Collection Systems, Vu Tran, Peter W. Eklund, Christopher David Cook
Learning Diagnostic Diagrams In Transport-Based Data-Collection Systems, Vu Tran, Peter W. Eklund, Christopher David Cook
Faculty of Engineering and Information Sciences - Papers: Part A
Insights about service improvement in a transit network can be gained by studying transit service reliability. In this paper, a general procedure for constructing a transit service reliability diagnostic (Tsrd) diagram based on a Bayesian network is proposed to automatically build a behavioural model from Automatic Vehicle Location (AVL) and Automatic Passenger Counters (APC) data. Our purpose is to discover the variability of transit service attributes and their effects on traveller behaviour. A Tsrd diagram describes and helps to analyse factors affecting public transport by combining domain knowledge with statistical data.
Multiple Kernel Learning In The Primal For Multimodal Alzheimer's Disease Classification, Fayao Liu, Luping Zhou, Chunhua Shen, Jianping Yin
Multiple Kernel Learning In The Primal For Multimodal Alzheimer's Disease Classification, Fayao Liu, Luping Zhou, Chunhua Shen, Jianping Yin
Faculty of Engineering and Information Sciences - Papers: Part A
To achieve effective and efficient detection of Alzheimer's disease (AD), many machine learning methods have been introduced into this realm. However, the general case of limited training samples, as well as different feature representations typically makes this problem challenging. In this work, we propose a novel multiple kernel learning framework to combine multi-modal features for AD classification, which is scalable and easy to implement. Contrary to the usual way of solving the problem in the dual, we look at the optimization from a new perspective. By conducting Fourier transform on the Gaussian kernel, we explicitly compute the mapping function, which …
Training Laboratory: Using Online Resources To Enhance The Laboratory Learning Experience, Sasha Nikolic
Training Laboratory: Using Online Resources To Enhance The Laboratory Learning Experience, Sasha Nikolic
Faculty of Engineering and Information Sciences - Papers: Part A
2014 IEEE. Technology has enabled students to search and utilize information from a diverse range of sources. One mechanism that students turn to for additional resources is the internet. This paper explores student interaction with an internet resource, called the Training Laboratory. This resource has multiple uses, including: 1) the training of laboratory teaching assistants; 2) providing students an opportunity to develop pre-requisite laboratory skills; 3) reduce the workload of developing resources when designing laboratory notes; 4) reduce the duplication of learning fundamental laboratory skills in multiple subjects; 5) provide a means to share resources to satellite campuses; and, 6) …
Collaborative Learning Through Taas: A Mobile System For Courses Over The Cloud, Geng Sun, Jun Shen
Collaborative Learning Through Taas: A Mobile System For Courses Over The Cloud, Geng Sun, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part A
As mobile cloud-based learning gain wide acceptance, learners engaged in online courses have more opportunities to participate in virtual teams. In this paper we present a new system, Teamwork as a Service (TaaS), which is service-oriented and emphasizes on building a smart collaborative learning context in conjunction with cloudhosting learning management systems (LMSs). Each of the five services of TaaS aims to organize a certain type of refined learning activities, so as to join together to facilitate the whole collaborative learning process. The implementation details of TaaS are demonstrated, and some typical user interfaces (UIs) are illustrated about how TaaS …
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 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 …
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 …
A Web-Based Learning Support To Improve Students' Learning Of Statistics, Norhayati Baharun, Anne L. Porter
A Web-Based Learning Support To Improve Students' Learning Of Statistics, Norhayati Baharun, Anne L. Porter
Faculty of Engineering and Information Sciences - Papers: Part A
This study investigating the impact of a web-based learning supports particularly a Headstart program on student outcomes in statistics at the University of Wollongong. Unlike in 2010, a Headstart program was introduced to the undergraduate students enrolled in an introductory statistics subject in 2011. This program allowed students to access the first module of work which includes a set of five lecture notes, video clips, and the first assessment via the subject e-learning site approximately four weeks prior to the start of the formal session. For the assessment, the students were required to complete a draft and redraft the first …
Engineering Across Cultures: New Learning Resources For Intercultural Competency In Engineering, Thomas Goldfinch, Elyssebeth Leigh, Les Dawes, Anne Gardner, Timothy Mccarthy
Engineering Across Cultures: New Learning Resources For Intercultural Competency In Engineering, Thomas Goldfinch, Elyssebeth Leigh, Les Dawes, Anne Gardner, Timothy Mccarthy
Faculty of Engineering and Information Sciences - Papers: Part A
BACKGROUND The work described in this paper has emerged from an ALTC/OLT funded project, Exploring Intercultural Competency in Engineering. The project indentified many facets of culture and intercultural competence that go beyond a culture-as-nationality paradigm. It was clear from this work that resources were needed to help engineering educators introduce students to the complex issues of culture as they relate to engineering practice. A set of learning modules focussing on intercultural competence in engineering practice have been developed that cover the various aspects of culture in engineering identified in the project. Supporting the resources, an eBook detailing the ins and …