‘Reforming Social Work Education: Some Reflections on the Contribution of Practice Learning’

Social work in the UK is currently undergoing a process of major reform and a wide range of recommendations have been made aimed at improving practice and education. This paper focuses on the Social Work Reform Board's proposals for improving practice learning in qualifying level social work education. It examines how recommendations for better partnership working between Higher Education Institutions and employers and developing critical reflection in agencies are likely to impact on student learning. Drawing on experience of social work education in Northern Ireland it considers the potential of the Reform Board's proposals for improving the quality of practice learning and enhancing students' preparedness for employment. The paper concludes that differences in educational aims and priorities, resistant practice cultures and cut-backs in resourcing could present major obstacles that must be overcome if this potential is to be realised.

Evaluation of sampling methods for learning from imbalanced data

The problem of learning from imbalanced data is of critical importance in a large number of application domains and can be a bottleneck in the performance of various conventional learning methods that assume the data distribution to be balanced. The class imbalance problem corresponds to dealing with the situation where one class massively outnumbers the other. The imbalance between majority and minority would lead machine learning to be biased and produce unreliable outcomes if the imbalanced data is used directly. There has been increasing interest in this research area and a number of algorithms have been developed. However, independent evaluation of the algorithms is limited. This paper aims at evaluating the performance of five representative data sampling methods namely SMOTE, ADASYN, BorderlineSMOTE, SMOTETomek and RUSBoost that deal with class imbalance problems. A comparative study is conducted and the performance of each method is critically analysed in terms of assessment metrics. © 2013 Springer-Verlag.

COD and NH4-N Estimation in the Inflow of Wastewater Treatment Plants using Machine Learning Techniques

The in-line measurement of COD and NH4-N in the WWTP inflow is crucial for the timely monitoring of biological wastewater treatment processes and for the development of advanced control strategies for optimized WWTP operation. As a direct measurement of COD and NH4-N requires expensive and high maintenance in-line probes or analyzers, an approach estimating COD and NH4-N based on standard and spectroscopic in-line inflow measurement systems using Machine Learning Techniques is presented in this paper. The results show that COD estimation using Radom Forest Regression with a normalized MSE of 0.3, which is sufficiently accurate for practical applications, can be achieved using only standard in-line measurements. In the case of NH4-N, a good estimation using Partial Least Squares Regression with a normalized MSE of 0.16 is only possible based on a combination of standard and spectroscopic in-line measurements. Furthermore, the comparison of regression and classification methods shows that both methods perform equally well in most cases.

An Adaptive Machine Learning Decision System for Flexible Predictive Maintenance

Process monitoring and Predictive Maintenance (PdM) are gaining increasing attention in most manufacturing environments as a means of reducing maintenance related costs and downtime. This is especially true in industries that are data intensive such as semiconductor manufacturing. In this paper an adaptive PdM based flexible maintenance scheduling decision support system, which pays particular attention to associated opportunity and risk costs, is presented. The proposed system, which employs Machine Learning and regularized regression methods, exploits new information as it becomes available from newly processed components to refine remaining useful life estimates and associated costs and risks. The system has been validated on a real industrial dataset related to an Ion Beam Etching process for semiconductor manufacturing.

'A Breath of Fresh Air': The experiences of undergraduate nursing students' participating in a creative learning project:This paper presents the experiences of undergraduate nursing students who participated in a creative learning project to explore the cells, tissues and organs of the human body through felt making.

Aim of the study
This paper presents the experiences of undergraduate nursing students who participated in a creative learning project to explore the cells, tissues and organs of the human body through felt making.

Context and Background
This project was funded by a Teaching Innovation Award from the School of Nursing and Midwifery, Queen’s University Belfast to explore creative ways of engaging year one undergraduate nursing students in learning anatomy and physiology. The project was facilitated through collaboration between University Teaching staff and Arts Care, a unique arts and health charity in Northern Ireland.

Methodology
Twelve year one students participated in four workshops designed to explore the cells, tissues and organs of the human body through the medium of felt. Facilitated by an Arts Care artist, students translated their learning into striking felt images. The project culminated in the exhibition of this unique collection of work which has been viewed by fellow students, teaching staff, nurses from practice, and artists from Arts Care, friends, family and members of the public.

Key Findings and conclusions
The opportunity to learn in a more diverse way within a safe and non-judgmental environment was valued, with students’ reporting a greater confidence in life science knowledge. Self- reflection and group discussion revealed that the project was a unique creative learning experience for all involved – students, teaching staff and artist – resulting in individual and collective benefits far beyond knowledge acquisition. As individuals we each felt respected and recognised for our unique contribution to the project. Working in partnership with Arts Care enabled us to experience the benefits of creativity to well-being and reflect upon how engagement in creative activities can help healthcare professionals to focus on the individual patient’s needs and how this is fundamental to enhancing patient-centred care

Blending Art and Science in Nurse Education: The Benefits and Impact of Creative Partnerships

Blending Art and Science in Nurse Education: The Benefits and Impact of Creative Partnerships

This paper presents the benefits of an innovative education partnership between lecturers from the School of Nursing and Midwifery, Queens University Belfast and Arts Care, a unique Arts and Health Charity in Northern Ireland, to engage nursing students in life sciences

Nursing and Midwifery students often struggle to engage with life science modules because they lack confidence in their ability to study science.This project was funded by a Teaching Innovation Award from the School of Nursing and Midwifery, Queens University Belfast, to explore creative ways of engaging year one undergraduate nursing students in learning anatomy and physiology. The project was facilitated through collaboration between Teaching staff from the School of Nursing and Midwifery and Arts Care, Northern Ireland. This unique Arts and Health Charity believes in the benefits of creativity to well being.

RESEARCH OBJECTIVE(S)
To explore creative ways of engaging year one undergraduate nursing students in learning anatomy and physiology.

METHODS AND METHODLOGY
Students participated in a series of workshops designed to explore the cells, tissues and organs of the human body through the medium of felt. Facilitated by an Arts Care artist, and following self-directed preparation, students discussed and translated their learning of the cells, tissues and organs of the human body into striking felt images. During the project students kept a reflective journal of their experience to document how participation in the project enhanced their learning and professional development

RESULTS
Creativity transformed and brought to life the students learning of the cells, tissues and organs of the human body.

The project culminated in the exhibition of a unique body of artwork which has been exhibited across Northern Ireland in hospitals and galleries and viewed by fellow students, teaching staff, nurses from practice, artists, friends, family and members of the public.

CONCLUSION
The impact of creativity learning strategies in nurse education should be further explored.

REFERENCES
Bennett, M and Rogers, K.MA. (2014) First impressions matter: an active, innovative and engaging method to recruit student volunteers for a pedagogic project. Reflections, Available online at: QUB, Centre for Educational Development / Publications / Reflections Newsletter, Issue 18, June 2014.

Chickering,A.W. and Gamson,Z.F. (1987) Seven principles for good practice in undergraduate education The American Association for Higher Education Bulletin, March. http://www.aahea.org/aahea/articles/sevenprinciples1987.htm, accessed 8th August 2014

Fell, P., Borland, G., Lynne, V. (2012) Lab versus lectures: can lab based practical sessions improve nursing students’ learning of bioscience? Health and Social Care Education 3:1, 33-38

English Language Education at University: Trends and Challenges in Teaching and Learning Academic Discourse in the UK

This chapter discusses English Language Education at university and highlights a number of trends and their associated challenges in teaching and learning academic discourse. Academic discourse refers to the ways in which language is used by participants in academia. It encompasses written discourse, from article and book publishing, PhD theses to course assignments; spoken discourse, from study groups, tutorials, conference presentations to inaugural lectures; and more recently, computer-mediated discourse, from asynchronous text-based conferencing to academic blogs. The role of English language educators in preparing students and academics for successful participation in these academic events, or the academy, in English is not to be underestimated. Academic communication is not only vital to an individual’s success at university, but to the maintenance and creation of academic communities and to scientific progress itself (Hyland, 2009). This chapter presents an overview of academic discourse and discusses recent issues which have an impact on teaching and learning English at university and discusses their associated challenges: first, the increasing internationalisation of universities. Second, the emergence of a mobile academe in its broadest sense, in which students and academics move across traditional geopolitical, institutional and disciplinary boundaries, is discussed. Third, the growth of UK transnational higher education is examined as a trend which sees academics and students vicariously or otherwise involved in English language teaching and learning. Fourth, the chapter delves into the rapid and ongoing development in technology assisted and online learning. While responding to trends can be difficult, they can also inspire ingenuity. Furthermore, such trends and challenges will not emerge in the same manner in different contexts. The discussion in this chapter is illustrated with examples from a UK context but the implications of the trends and challenges are such that they reach beyond borders.

Slow Release Drug Dissolution Profile Prediction in Pharmaceutical Manufacturing: a Multivariate and Machine Learning Approach

Slow release drugs must be manufactured to meet target specifications with respect to dissolution curve profiles. In this paper we consider the problem of identifying the drivers of dissolution curve variability of a drug from historical manufacturing data. Several data sources are considered: raw material parameters, coating data, loss on drying and pellet size statistics. The methodology employed is to develop predictive models using LASSO, a powerful machine learning algorithm for regression with high-dimensional datasets. LASSO provides sparse solutions facilitating the identification of the most important causes of variability in the drug fabrication process. The proposed methodology is illustrated using manufacturing data for a slow release drug.

Mathematics Learning Support in Ireland in 2015

The provision of mathematics learning support in higher-level institutions on the island of Ireland has developed rapidly in recent times with the number of institutions providing some form of support doubling in the past seven years. The Irish Mathematics Learning Support Network aims to inform all mathematics support practitioners in Ireland on relevant issues. Consequently it was decided that a detailed picture of current provision was necessary. A comprehensive online survey was conducted to amass the necessary data. The ultimate aim of the survey is to benefit all mathematics support practitioners in Ireland, in particular those in third-level institutions who require further support to enhance the mathematical learning experience of their students. The survey reveals that the majority of Irish higher-level institutions provide mathematics learning support to some extent, with 65% doing so through a support centre. Learners of service mathematics are the primary users: first-year science, engineering and business undergraduates, with non-traditional students being a sizeable element. Despite the growing recognition for the need to offer mathematics learning support almost half of the centres are subject to annual review. Further, less than half the support offerings have a dedicated full-time manager, while 60% operate with a staff of five or fewer. The elevation of mathematics support as a viable and worthwhile career in order to attract and retain high quality staff is seen by many respondents as the crucial next phase of development.

Learning Bounded Tree-Width Bayesian Networks via Sampling

Learning Bayesian networks with bounded tree-width has attracted much attention recently, because low tree-width allows exact inference to be performed efficiently. Some existing methods [12, 14] tackle the problem by using k-trees to learn the optimal Bayesian network with tree-width up to k. In this paper, we propose a sampling method to efficiently find representative k-trees by introducing an Informative score function to characterize the quality of a k-tree. The proposed algorithm can efficiently learn a Bayesian network with tree-width at most k. Experiment results indicate that our approach is comparable with exact methods, but is much more computationally efficient.

An evaluation of the Socrative (personal response system) app for increasing student engagement and learning in an undergraduate psychology curriculum.

Personal response systems using hardware such as 'clickers' have been around for some time, however their use is often restricted to multiple choice questions (MCQs) and they are therefore used as a summative assessment tool for the individual student. More recent innovations such as 'Socrative' have removed the need for specialist hardware, instead utilising web-based technology and devices common to students, such as smartphones, tablets and laptops. While improving the potential for use in larger classrooms, this also creates the opportunity to pose more engaging open-response questions to students who can 'text in' their thoughts on questions posed in class. This poster will present two applications of the Socrative system in an undergraduate psychology curriculum which aimed to encourage interactive engagement with course content using real-time student responses and lecturer feedback. Data is currently being collected and result will be presented at the conference.
The first application used Socrative to pose MCQs at the end of two modules (a level one Statistics module and level two Individual Differences Psychology module, class size N≈100), with the intention of helping students assess their knowledge of the course. They were asked to rate their self-perceived knowledge of the course on a five-point Likert scale before and after completing the MCQs, as well as their views on the value of the revision session and any issues that had with using the app. The online MCQs remained open between the lecture and the exam, allowing students to revisit the questions at any time during their revision.
This poster will present data regarding the usefulness of the revision MCQs, the metacognitive effect of the MCQs on student's judgements of learning (pre vs post MCQ testing), as well as student engagement with the MCQs between the revision session and the examination. Student opinions on the use of the Socrative system in class will also be discussed.
The second application used Socrative to facilitate a flipped classroom lecture on a level two 'Conceptual Issues in Psychology' module, class size N≈100). The content of this module requires students to think critically about historical and contemporary conceptual issues in psychology and the philosophy of science. Students traditionally struggle with this module due to the emphasis on critical thinking skills, rather than simply the retention of concrete knowledge. To prepare students for the written examination, a flipped classroom lecture was held at the end of the semester. Students were asked to revise their knowledge of a particular area of Psychology by assigned reading, and were told that the flipped lecture would involve them thinking critically about the conceptual issues found in this area. They were informed that questions would be posed by the lecturer in class, and that they would be asked to post their thoughts using the Socrative app for a class discussion. The level of preparation students engaged in for the flipped lecture was measured, as well as qualitative opinions on the usefulness of the session. This poster will discuss the level of student engagement with the flipped lecture, both in terms of preparation for the lecture, and engagement with questions posed during the lecture, as well as the lecturer's experience in facilitating the flipped classroom using the Socrative platform.

A Design & Feasibility Study of the Spaced Learning Programme

Objectives There is evidence from neuroscience, cognitive psychology and educational research that the delivery of a stimulus in a spaced format (over time) rather than a massed format (all at once) leads to more effective learning. This project aimed to pilot spaced learning materials using various spacing lengths for GCSE science by exploring the feasibility of introducing spaced leaning into regular classrooms and by evaluating teacher fidelity to the materials. The spaced learning methods will then be compared with traditional science revision techniques and a programme manual will be produced. Design A feasibility study. Methods A pilot study (4 schools) was carried out to examine the feasibility and teacher fidelity to the materials, using pupil workshops and teacher interviews. A subsequent random assignment experimental study (12 schools) will involve pre and post testing of students on a science attainment measure and a post-test implementation questionnaire. Results The literature review found that longer spacing intervals between repetitions of material (>24 hours) may be optimal for long term memory formation than shorter intervals. A logic model was developed to inform the design of various programme variants for the pilot and experimental study. This paper will report qualitative data from the initial pilot study. Conclusions The paper uses this research project as an example to explain the importance of conducting pilot work and small scale experimental studies to explore the feasibility and inform the design of educational interventions, rather than prematurely moving to RCT type studies.