Reflecting on the balance between theory and practical grades of engineering students — A case study

Conference ProceedingsUniversities of Technology must enable students to acquire the necessary knowledge (theory), workplace skills (practice), and graduate attributes (theory and practice) needed to meet the needs of industry, business and community. Reflective practice may involve the thoughtful consideration of an academics own experiences in enhancing the fusion of theory and practice in an engineering curriculum. This fusion is currently an important criterion for Universities of Technology who may face increased pressure to improve their throughput rates. This paper aims to answer the following research question: “What balance currently exists between the practical and theoretical success of undergraduate students in a number of different engineering disciplines at a University of Technology”? Reflecting on the current balance that exists and its implications may assist academics in changing their pedagogy to include more effective ways of fusing theory and practice. A post-facto study is employed along with descriptive statistics involving quantitative analysis of the collected data. Results do indicate that undergraduate engineering students are more adept at completing the practical assessments scheduled in a laboratory, suggesting that more time on practice should be scheduled along with practical experiments that promote critical thinking and problem solving skills

Scholarship of teaching and learning: ‘what the hell’ are we getting ourselves into?

Published Conference PoceedingsAcademics must be encouraged to reflect on their teaching, to apply new pedagogies to support student learning and to report on the results of these actions, which really forms part of programmes relating to Scholarship of Teaching and Learning (SoTL). However, there seems to be resistance among some academics to get involved in these programmes due to fear of change or discrimination. The purpose of this article is to highlight the perceptions of four academics from different engineering fields towards such a programme from a University of Technology in South Africa. A qualitative study is employed where a focus group interview was used to gather data which are correlated to the SoTL unicycle detailed in the article. A benefit of joining an SoTL programme includes ‘developing a teaching action plan’ while a key challenge relates to time concerns. An implication may be to stimulate awareness among non-participating academics about what an SoTL programme really engenders

Scholarship of teaching and learning: ‘what the hell’ are we getting ourselves into?

Published ArticleAcademics must be encouraged to reflect on their teaching, to apply new pedagogies to support student learning and to report on the results of these actions, which really forms part of programmes relating to Scholarship of Teaching and Learning (SoTL). However, there seems to be resistance among some academics to get involved in these programmes due to fear of change or discrimination. The purpose of this article is to highlight the perceptions of four academics from different engineering fields towards such a programme from a University of Technology in South Africa. A qualitative study is employed where a focus group interview was used to gather data which are correlated to the SoTL unicycle detailed in the article. A benefit of joining an SoTL programme includes ‘developing a teaching action plan’ while a key challenge relates to time concerns. An implication may be to stimulate awareness among non-participating academics about what an SoTL programme really engenders

Analysis of queries from nurses to the South African National HIV & TB Health Care Worker Hotline

Background. Since 2008, the Medicines Information Centre (MIC) has run the South African National HIV & TB Health Care Worker Hotline which provides free information on patient treatment to all healthcare workers in South Africa. With the introduction of nurse-initiated management of antiretroviral therapy (NIMART) in the public sector, the need for easy access to HIV and tuberculosis (TB) information has increased, especially among nurses. The hotline aims to provide this, most importantly to nurses in rural areas, where clinical staff often have little access to peer review. Objective. To describe the queries received from nurses by the hotline between 1 March and 31 May 2012 and identify problem areas and knowledge gaps where nurses may require further training. Methods. All queries received from nurses during the study period were analysed. An experienced information pharmacist reviewed all queries to identify knowledge gaps. Results. During the study period, the hotline received a total of 1 479 HIV- and TB-related queries from healthcare workers. Of these, 386 were received from nurses, of which 254 (66%) were NIMART-trained. The most common query subtopic was initiating antiretroviral therapy (ART) (20%), followed by adverse drug reactions (18%). The most common knowledge gap identified was the ability to interpret laboratory results before initiating ART (10%). Discussion. We conclude that the hotline is providing clinical help to an increasing number of nurses on the topic of treating HIV and TB throughout South Africa. In addition, queries directed to the hotline may assist in identifying knowledge gaps for the further training of nurses

Visualizations as a tool to increase community engagement in climate change adaptation decision-making

Many barriers to behavioural change exist when it comes to climate change action. A key element to overcoming some of these barriers is effective communication of complex scientific information. The use of visualizations, such as photographs or interactive maps, can increase knowledge dissemination, helping community members understand climatic and environmental changes. These techniques have been utilized in many disciplines but have not been widely embraced by climate change scholars. This paper discusses the utility of climate change data visualization as a tool for climate change knowledge mobilization. This paper draws on the case studying drivers of coastline change of Lake Ontario in the Town of Lincoln, Ontario, Canada. Historical aerial photographs were used to measure the rate of coastline change and visualize vulnerable sections of the coast. To better visualize the changes that occurred over time from a resident viewpoint, selected land-based historical photographs were replicated by taking new photographs at the same locations. These visualization tools can be useful to support the community in developing strategies to adapt to climate change by increasing understanding of the changes and knowledge through social learning. These tools can be generalized to other case studies dealing with community engagement in coastal adaptation efforts

Cyber resilience in supply chain system security using machine learning for threat predictions

Purpose Cyber resilience in cyber supply chain (CSC) systems security has become inevitable as attacks, risks and vulnerabilities increase in real-time critical infrastructure systems with little time for system failures. Cyber resilience approaches ensure the ability of a supply chain system to prepare, absorb, recover and adapt to adverse effects in the complex CPS environment. However, threats within the CSC context can pose a severe disruption to the overall business continuity. The paper aims to use machine learning (ML) techniques to predict threats on cyber supply chain systems, improve cyber resilience that focuses on critical assets and reduce the attack surface. Design/methodology/approach The approach follows two main cyber resilience design principles that focus on common critical assets and reduce the attack surface for this purpose. ML techniques are applied to various classification algorithms to learn a dataset for performance accuracies and threats predictions based on the CSC resilience design principles. The critical assets include Cyber Digital, Cyber Physical and physical elements. We consider Logistic Regression, Decision Tree, Naïve Bayes and Random Forest classification algorithms in a Majority Voting to predicate the results. Finally, we mapped the threats with known attacks for inferences to improve resilience on the critical assets. Findings The paper contributes to CSC system resilience based on the understanding and prediction of the threats. The result shows a 70% performance accuracy for the threat prediction with cyber resilience design principles that focus on critical assets and controls and reduce the threat. Research limitations/implications Therefore, there is a need to understand and predicate the threat so that appropriate control actions can ensure system resilience. However, due to the invincibility and dynamic nature of cyber attacks, there are limited controls and attributions. This poses serious implications for cyber supply chain systems and its cascading impacts. Practical implications ML techniques are used on a dataset to analyse and predict the threats based on the CSC resilience design principles. Social implications There are no social implications rather it has serious implications for organizations and third-party vendors. Originality/value The originality of the paper lies in the fact that cyber resilience design principles that focus on common critical assets are used including Cyber Digital, Cyber Physical and physical elements to determine the attack surface. ML techniques are applied to various classification algorithms to learn a dataset for performance accuracies and threats predictions based on the CSC resilience design principles to reduce the attack surface for this purpose

Cyber resilience in supply chain system security using machine learning for threat predictions

Purpose- Cyber resilience in cyber supply chain (CSC) systems security has become inevitable as attacks, risks and vulnerabilities increase in real-time critical infrastructure systems with little time for system failures. Cyber resilience approaches ensure the ability of a supply chain system to prepare, absorb, recover and adapt to adverse effects in the complex CPS environment. However, threats within the CSC context can pose a severe disruption to the overall business continuity. The paper aims to use machine learning (ML) techniques to predict threats on cyber supply chain systems, improve cyber resilience that focuses on critical assets and reduce the attack surface. Design/methodology/approach- The approach follows two main cyber resilience design principles that focus on common critical assets and reduce the attack surface for this purpose. ML techniques are applied to various classification algorithms to learn a dataset for performance accuracies and threats predictions based on the CSC resilience design principles. The critical assets include Cyber Digital, Cyber Physical and physical elements. We consider Logistic Regression, Decision Tree, Naïve Bayes and Random Forest classification algorithms in a Majority Voting to predicate the results. Finally, we mapped the threats with known attacks for inferences to improve resilience on the critical assets. Findings- The paper contributes to CSC system resilience based on the understanding and prediction of the threats. The result shows a 70% performance accuracy for the threat prediction with cyber resilience design principles that focus on critical assets and controls and reduce the threat. Research limitations/implications- Therefore, there is a need to understand and predicate the threat so that appropriate control actions can ensure system resilience. However, due to the invincibility and dynamic nature of cyber attacks, there are limited controls and attributions. This poses serious implications for cyber supply chain systems and its cascading impacts. Practical implications- ML techniques are used on a dataset to analyse and predict the threats based on the CSC resilience design principles. Social implications- There are no social implications rather it has serious implications for organizations and third-party vendors. Originality/value- The originality of the paper lies in the fact that cyber resilience design principles that focus on common critical assets are used including Cyber Digital, Cyber Physical and physical elements to determine the attack surface. ML techniques are applied to various classification algorithms to learn a dataset for performance accuracies and threats predictions based on the CSC resilience design principles to reduce the attack surface for this purpose

Prejudice-reduction in culturally mixed classrooms : The development and assessment of a theory-driven prejudice-reduction intervention among majority and minority youth in Finland

Peer reviewe

Confidence in Contact: A New Perspective on Promoting Cross-Group Friendship Among Children and Adolescents

Intergroup contact theory (Allport, 1954) proposes that positive interactions between members of different social groups can improve intergroup relations. Contact should be especially effective in schools, where opportunities may exist to engage cooperatively with peers from different backgrounds and develop cross-group friendships. In turn, these friendships have numerous benefits for intergroup relations. However, there is evidence that children do not always engage in cross-group friendships, often choosing to spend time with same-group peers, even in diverse settings. We argue that in order to capitalise on the potential impact of contact in schools for promoting harmonious intergroup relations, a new model is needed that places confidence in contact at its heart. We present an empirically-driven theoretical model of intergroup contact that outlines the conditions that help to make young people ‘contact ready’, preparing them for successful, sustained intergroup relationships by giving them the confidence that they can engage in contact successfully. After evaluating the traditional approach to intergroup contact in schools, we present our theoretical model which outlines predictors of cross-group friendships that enhance confidence in and readiness for contact. We then discuss theory-driven, empirically tested interventions that could potentially promote confidence in contact. Finally, we make specific recommendations for practitioners and policy makers striving to promote harmonious intergroup relations in the classroom

Ancient Latin American objects in the archive: selections from the George and Louise Patten collection of Salem Hyde cultural artifacts at the University of Tennessee at Chattanooga

https://scholar.utc.edu/exhibition-records/1004/thumbnail.jp