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- ItemStatistics anxiety in university students in assessment situations(Editorial Universitat Politècnica de València, 2018) Frias-Navarro D; Monterde-i-Bort H; Navarro-Gonzalez N; Molina-Palomero O; Pascual-Soler M; Perezgonzalez J; Longobardi C; Domenech J; Merello P; de la Poza E; Blazquez DMany students have feelings of state anxiety when taking exams, and these feelings probably affect their performance. Statistics courses have been identified as producing the most anxiety. The purpose of our study is to measure statistics anxiety throughout an academic course (pre-test and three assessments) in order to observe its change and analyze the relationship between statistics anxiety and academic achievement. The sample is composed of 30 Psychology students taking a course in research designs and statistics (26.7% men and 73.3% women) with a mean age of 20.31 years (SD = 3.76). The results show that the students begin with a high level of statistics anxiety that gradually declines as the course progresses and they study the course materials. Moreover, the final achievement in the subject maintains an inverse relationship with the level of statistics anxiety. The recommendation is to present the detailed contents of the teaching guide on the first day of the course in order to reduce students’ anxiety and uncertainty when beginning a statistics course. Financial support: Project UV-INV-AE17-698616. University of Valencia. Spain.
- ItemHarvesting Wisdom on Social Media for Business Decision Making(HICSS, 2022-01-01) Yu J; Taskin N; Pauleen DJ; Jafarzadeh H; Bui TXThe proliferation of social media provides significant opportunities for organizations to obtain wisdom of the crowds (WOC)-type data for decision making. However, critical challenges associated with collecting such data exist. For example, the openness of social media tends to increase the possibility of social influence, which may diminish group diversity, one of the conditions of WOC. In this research-in-progress paper, a new social media data analytics framework is proposed. It is equipped with well-designed mechanisms (e.g., using different discussion processes to overcome social influence issues and boost social learning) to generate data and employs state-of-the-art big data technologies, e.g., Amazon EMR, for data processing and storage. Design science research methodology is used to develop the framework. This paper contributes to the WOC and social media adoption literature by providing a practical approach for organizations to effectively generate WOC-type data from social media to support their decision making.
- ItemTowards an Explainable Machine Learning Framework for Sketched Diagram Recognition(CEUR-WS Team, 2023-01-01) Singh A; Imtiaz MA; Blagojevic R; Smith-Renner A; Taele PIn recent years, machine learning has made significant advancements in various fields, including image recognition. However, the complexity of these models often makes it difficult for users to understand the reasoning behind their predictions. This is especially true for sketch recognition, where the ability to understand and explain the model's decision-making process is crucial. To address this issue, our research focuses on developing an explainable machine learning framework for sketch recognition. The framework incorporates techniques such as feature visualization and feature attribution methods which provide insights into the model's decision-making process. The goal of this research is to not only improve the performance of sketch recognition models but also to increase their interpretability, making them more usable and trustworthy for users.
- ItemData Augmentation with Diversified Rephrasing for Low-Resource Neural Machine Translation(Asia-Pacific Association for Machine Translation, 2023-01-01) Gao Y; Hou F; Jahnke H; Wang R; Utiyama M; Wang RData augmentation is an effective way to enhance the performance of neural machine translation models, especially for low-resource languages. Existing data augmentation methods are either at a token level or a sentence level. The data augmented using token level methods lack syntactic diversity and may alter original meanings. Sentence level methods usually generate low-quality source sentences that are not semantically paired with the original target sentences. In this paper, we propose a novel data augmentation method to generate diverse, high-quality and meaning-preserved new instances. Our method leverages high-quality translation models trained with high-resource languages to rephrase an original sentence by translating it into an intermediate language and then back to the original language. Through this process, the high-performing translation models guarantee the quality of the rephrased sentences, and the syntactic knowledge from the intermediate language can bring syntactic diversity to the rephrased sentences. Experimental results show our method can enhance the performance in various low-resource machine translation tasks. Moreover, by combining our method with other techniques that facilitate NMT, we can yield even better results.
- ItemFostering project management competencies in undergraduate engineering: An exploration of the use of management- educated tutors as coaches in problem-based learning(Engineers Australia, 2018-12-09) Khoo E; Scott J; McKie D; Cowie BCONTENT Problem-based learning (PBL) helps engineering graduates develop the competencies needed in order to engage effectively with complex and uncertain workplace demands. PBL’s effectiveness, however, also depends on students having the ability to manage themselves and to work collaboratively. As these professional competencies are not typically the focus of undergraduate engineering programmes, students tend to complete problem-based project work through their own initiatives without the skills relevant to project completion. On the other hand, project management competencies are commonly explicated and core in business and management disciplines. PURPOSE This paper reports on our project which addresses the research question: What is the impact of utilising a management-educated demonstrator to work with engineering students on their learning and development of project management competencies? APPROACH Our project intervention required students in a fourth-year advanced engineering problem-based course to regularly report their planning and project progress to a graduate management tutor (demonstrator manager). A third of the course marks was awarded by the tutor who provided business-informed coaching as feedback during each report planning session. Multiple forms of data were collected – pre-and post-course surveys, student focus group interviews, lecturer and tutor interviews and student formative and summative grades. RESULTS The findings highlighted that: (1) Students did gain a better understanding of key aspects of project management; (2) Students were generally supportive of the technique, but wanted more “introduction”, exposing their naivete where grading on management was concerned; (3) The approach could foster more Engineering-Management collaboration at a university; (4) The approach supports the accreditation goal of developing engineering graduates’ professional competencies related to management skills. CONCLUSIONS Given the multiple and complex challenges facing 21st-century society, engineering employers are increasingly seeking graduates who are both technical experts in their field and able to work with experts from other fields, including business and management. Our project contributes understandings on how interdisciplinary initiatives can develop such professional competencies that are important for engineering graduate work-readiness.
- ItemDigital badges - What is the state of play within the New Zealand Higher Education sector?(ASCILTE - Australasian Society for Computers in Learning in Tertiary Education, 2018-01-01) Hartnett M; Campbell M; Willems J; Adachi C; Blake D; Doherty I; Krishnan S; Macfarlane S; Ngo L; O’Donnell M; Palmer S; Riddell L; Story I; Suri H; Tai JThe importance and influence of digital technologies as a mediator and facilitator of learning is fundamentally changing education; what it encompasses, what counts as learning, who has access, where and when it occurs, and the ways in which skills, knowledge and capabilities are recognised. One technological innovation that has emerged within the last few years is digital badges. Developed to act as indicators of accomplishment, skill, or interest, they are being used in a variety of contexts for purposes such as to motivate, capture achievement, or credential learning. Digital badging is a technology that has the potential to change how we engage learners, deliver content and acknowledge learning. Internationally, digital badge use is growing particularly in Higher Education. However, to-date, it is difficult to determine how many institutions are using digital badges and for what purposes. This is particularly true within the New Zealand Higher Education context where little research is currently available. The focus of this study was to identify the ‘current state of play’ of digital badge use (i.e. which tertiary institutions are using badges, and the perceived benefits and drawbacks associated with their use) within the public New Zealand Higher Education sector.
- ItemFour- and five-body periodic Caledonian orbits(Cambridge University Press on behalf of International Astronomical Union, 2022-07) Chopovda V; Sweatman W; Celletti A; Gales C; Beauge C; Lemaitre AWe consider four- and five-body problems with symmetrical masses (Caledonian problems). Families of periodic orbits originate from the collinear Schubart orbits. We present and discuss some of these periodic orbits.
- ItemExperiences of distress during social work placements: New graduate perspectivesChilvers D; Tudor R; Hay K; Yeung P
- ItemTeaching Competency in the Digital Era in Indonesia, Malaysia and the Philippines(e-International Publishing House, Ltd., UK, 2022-11-30) Chong KM; Ating R; Separa L; Widyatama A; Palmares-Cruz MRM; Buluran MJThis study investigated the challenges of teaching in the digital environment and identified digital competency among lecturers in higher learning institutions in the digital era. The survey was carried out from April to September 2022 with 155 valid responses among 200 lecturers, 77.5% response rate from private and public higher learning institutions from Indonesia, Malaysia, and the Philippines. PLS-SEM was used to analyse the survey results and hypothesis testing was conducted through bootstrapping. Among the seven hypotheses proposed, six were accepted and one was rejected, which was the development of digital learning resources towards competency teaching in the digital era.
- ItemWillingness to use Public Transport in Kuala Lumpur & Manila(e-International Publishing House, Ltd., UK., 2022-09-22) Chong KM; Subramaniam G; Ating R; Separa LTraffic congestion is a common phenomenon in all capital cities. This study aims to examine the willingness of Malaysians and Filipinos to use public transport and the factors that influence their willingness to use public transport in Kuala Lumpur and Manila. A self-administered questionnaire was distributed to 250 respondents using purposive sampling technique. PLS-SEM analysis shows that efficiency is essential for Malaysians while Filipino transport users pay more importance to reliability. It is crucial that a holistic perspective heeding in environmental, social and governance (ESG) in transportation can assist the government conserve the environment in line with SDG 11.
