Evaluating the Effectiveness of Social Work Education: Preparing Students for Practice Learning

Evaluating the effectiveness of social work education has become a topic of major interest in the UK in the wake of a succession of child-care tragedies that have undermined confidence in the profession. However, many key aspects of social work education remain under-researched and/or contested and our knowledge of how students acquire and develop professional expertise remains limited. This paper reports on the first part of a longitudinal study aimed at developing evidence-based knowledge in this area by considering student perceptions at different stages of their social work education at Queen’s University Belfast. Focusing on the strengths and limitations of preparatory teaching, and their first experience of practice learning, this article considers the impact of demographic factors, including age, gender and experience, on how students experience the learning process. The findings indicate a significant level of disjunction between academic and practice learning and suggest that better integration between these two domains of learning is needed if social work students are to be more effectively prepared for the challenges they are likely to encounter in practice.

Dual-processes in learning and judgment:Evidence from the multiple cue probability learning paradigm

Multiple cue probability learning (MCPL) involves learning to predict a criterion based on a set of novel cues when feedback is provided in response to each judgment made. But to what extent does MCPL require controlled attention and explicit hypothesis testing? The results of two experiments show that this depends on cue polarity. Learning about cues that predict positively is aided by automatic cognitive processes, whereas learning about cues that predict negatively is especially demanding on controlled attention and hypothesis testing processes. In the studies reported here, negative, but not positive cue learning related to individual differences in working memory capacity both on measures of overall judgment performance and modelling of the implicit learning process. However, the introduction of a novel method to monitor participants' explicit beliefs about a set of cues on a trial-by-trial basis revealed that participants were engaged in explicit hypothesis testing about positive and negative cues, and explicit beliefs about both types of cues were linked to working memory capacity. Taken together, our results indicate that while people are engaged in explicit hypothesis testing during cue learning, explicit beliefs are applied to judgment only when cues are negative. © 2012 Elsevier Inc.

The role of working memory capacity in multiple-cue probability learning

Multiple-cue probability learning (MCPL) involves learning to predict a criterion when outcome feedback is provided for multiple cues. A great deal of research suggests that working memory capacity (WMC) is involved in a wide range of tasks that draw on higher level cognitive processes. In three experiments, we examined the role of WMC in MCPL by introducing measures of working memory capacity, as well as other task manipulations. While individual differences in WMC positively predicted performance in some kinds of multiple-cue tasks, performance on other tasks was entirely unrelated to these differences. Performance on tasks that contained negative cues was correlated with working memory capacity, as well as measures of explicit knowledge obtained in the learning process. When the relevant cues predicted positively, however, WMC became irrelevant. The results are discussed in terms of controlled and automatic processes in learning and judgement. © 2011 The Experimental Psychology Society.

Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables

We present a method for learning treewidth-bounded Bayesian networks from data sets containing thousands of variables. Bounding the treewidth of a Bayesian network greatly reduces the complexity of inferences. Yet, being a global property of the graph, it considerably increases the difficulty of the learning process. Our novel algorithm accomplishes this task, scaling both to large domains and to large treewidths. Our novel approach consistently outperforms the state of the art on experiments with up to thousands of variables.

Seeing How it Sounds: Observation, Imitation and Improved Learning in Piano Playing

Research in various fields has shown that students benefit from teacher action demonstrations during instruction, establishing the need to better understand the effectiveness of different demonstration types across student proficiency levels. This study centres upon a piano learning and teaching environment in which beginners and intermediate piano students (N=48) learning to perform a specific type of staccato were submitted to three different (group exclusive) teaching conditions: audio-only demonstration of the musical task; observation of the teacher's action demonstration followed by student imitation (blockedobservation); and observation of the teacher's action demonstration whilst alternating imitation of the task with the teacher's performance (interleaved-observation). Learning was measured in relation to students' range of wrist amplitude (RWA) and ratio of sound and inter-sound duration (SIDR) before, during and after training. Observation and imitation of the teacher’s action demonstrations had a beneficial effect on students' staccato knowledge retention at different times after training: students submitted to interleaved-observation presented significantly shorter note duration and larger wrist rotation, and as such, were more proficient at the learned technique in each of the lesson and retention tests than students in the other learning conditions. There were no significant differences in performance or retention for students of different proficiency levels. These findings have relevant implications for instrumental music pedagogy and other contexts where embodied action is an essential aspect of the learning process.

Power-law behaviour, heterogeneity, and trend chasing

Long-range dependence in volatility is one of the most prominent examples in financial market research involving universal power laws. Its characterization has recently spurred attempts to provide some explanations of the underlying mechanism. This paper contributes to this recent line of research by analyzing a simple market fraction asset pricing model with two types of traders---fundamentalists who trade on the price deviation from estimated fundamental value and trend followers whose conditional mean and variance of the trend are updated through a geometric learning process. Our analysis shows that agent heterogeneity, risk-adjusted trend chasing through the geometric learning process, and the interplay of noisy fundamental and demand processes and the underlying deterministic dynamics can be the source of power-law distributed fluctuations. In particular, the noisy demand plays an important role in the generation of insignificant autocorrelations (ACs) on returns, while the significant decaying AC patterns of the absolute returns and squared returns are more influenced by the noisy fundamental process. A statistical analysis based on Monte Carlo simulations is conducted to characterize the decay rate. Realistic estimates of the power-law decay indices and the (FI)GARCH parameters are presented.

Agitating for a design and regeneration agenda in a postconflict city: the case of Belfast

Introduction

Belfast has been a focus of academic attention for the last forty years with most interest centred on various aspects of ‘the Troubles’. Where there has been interest in the built environment, it has largely been about how the ‘security situation’ impacted directly on architecture and on the design and layout of social housing. This paper seeks to go beyond this to explore how the political- administrative culture of ‘the Troubles’ interacted with ‘normal’ market forces to shape the central area of the city, and to consider the responses of a recently formed activist group, known as the Forum for Alternative Belfast (hereafter referred to as the Forum). The paper is written by three of the directors of the Forum.1 Moreover, the empirical research presented here was undertaken by the Forum as part of a campaign to address issues relating to the design, layout and quality of Belfast’s built environment. In the longstanding tradition of participant observation working within an action-research paradigm, the participants have attempted to offer an account that is evidentially and purposefully selfcritical and reflective. It is of course recognised that while this approach offers many positive attributes, such as phenomenological access through immersion in the project, it also has the potential to bring compromise on research detachment and objectivity.2 To address the latter, the authors have attempted
to avoid polemical argument, and to support claims with primary or secondary research evidence. The authors also acknowledge that action-research has a chequered history; however, they would argue
that their approach is faithful to a concept that sees ‘research’ defined as understanding and ‘action’ defined as seeking change. The Forum’s very purpose is to seek change, but to do this requires evidence, collaboration and demonstration. And in this sense, it is a learning process for all participants, including the research activists, government officials, community organisations and students. The authors also recognise the complexity of factors that affect urban management and change, particularly in a city such as Belfast, which has had to cope with political violence for over thirty years. And they appreciate that in the context of conflict, governance is skewed to cope with political realities. Hamdi reminds us, however, that in practice there is an ‘important dialectic between top-down planning, with its formal and designed laws and structures, and bottom-up selforganizing collectivism—those “quantum and emergent systems” which Jane Jacobs argued long ago give cities their life and order.’3

Enabling Social Work Students to Deal with the Consequences of Political Conflict: Engaging with Victim/Survivor Service Users and a ‘Pedagogy of Discomfort’

This paper describes the evaluation of an educational project, delivered in a Bachelor in Social Work degree (BSW) program in Northern Ireland. The project aimed to equip social work students to be more culturally competent in this divided society, with a central focus on including victim/survivor service users in social work training. A number of pedagogical approaches are noted, with particular consideration of Boler's ‘pedagogy of discomfort’ as a model that includes the multidimensional nature of the learning process when topics carry a high emotional tariff. The evaluation of the students' experience indicated that: there was strong support among students for the project; the unique contribution of service users was affirmed; and the project appeared to increase students' awareness and capacity to practice in a divided society. The evaluation of the trainers' experience highlighted key processes in the delivery of collaborative training. The authors argue that the lessons learned are broadly applicable to other forms of service user and carer involvement in social work training and in other societies in which health and social care professionals have to deal with the legacies of political conflict.

Local Conventions in Game Play in an Evolving Dual Social Network Framework

People usually perform economic interactions within the social setting of a small group, while they obtain relevant information from a broader source. We capture this feature with a dynamic interaction model based on two separate social networks. Individuals play a coordination game in an interaction network, while updating their strategies using information from a separate influence network through which information is disseminated. In each time period, the interaction and influence networks co-evolve, and the individuals’ strategies are updated through a modified naive learning process. We show that both network structures and players’ strategies always reach a steady state, in which players form fully connected groups and converge to local conventions. We also analyze the influence exerted by a minority group of strongly opinionated players on these outcomes.

Nuclear disasters and health: lessons learned, challenges, and proposals

Past nuclear disasters, such as the atomic bombings in 1945 and major accidents at nuclear power plants, have highlighted similarities in potential public health effects of radiation in both circumstances, including health issues unrelated to radiation exposure. Although the rarity of nuclear disasters limits opportunities to undertake rigorous research of evidence-based interventions and strategies, identification of lessons learned and development of an effective plan to protect the public, minimise negative effects, and protect emergency workers from exposure to high-dose radiation is important. Additionally, research is needed to help decision makers to avoid premature deaths among patients already in hospitals and other vulnerable groups during evacuation. Since nuclear disasters can affect hundreds of thousands of people, a substantial number of people are at risk of physical and mental harm in each disaster. During the recovery period after a nuclear disaster, physicians might need to screen for psychological burdens and provide general physical and mental health care for many affected residents who might experience long-term displacement. Reliable communication of personalised risks has emerged as a challenge for health-care professionals beyond the need to explain radiation protection. To overcome difficulties of risk communication and provide decision aids to protect workers, vulnerable people, and residents after a nuclear disaster, physicians should receive training in nuclear disaster response. This training should include evidence-based interventions, support decisions to balance potential harms and benefits, and take account of scientific uncertainty in provision of community health care. An open and joint learning process is essential to prepare for, and minimise the effects of, future nuclear disasters.