‘Running with the Fox and Hunting with the Hounds’: Social Work Tutors' Experiences of Managing Failing Social Work Students in Practice Learning Settings

The paper explores the issues raised by social work students failing in practice learning settings from the perspective of university tutors, by drawing on existing literature in this area from social work and nursing, as well as findings from a small‐scale empirical qualitative study. The qualitative study was influenced by practitioner‐researcher and practice‐near paradigms; and is based on interviews with twelve social work tutors in England. The findings reveal that tutors are able to articulate the important tasks and functions of their roles when issues of failing students in practice learning settings arise, although the process can be challenging. The challenges include: supporting practice educator and student, concerns about other tutors’ practices, the difficulties in promoting appropriate professional standards and values within higher education contexts and frustrations with practice educators and placements. Only a third of the respondents (four) however, articulated their gate keeping roles and responsibilities although this was not without its difficulties. Given the current reforms in social work education in England at this present time, with greater emphasis on threshold standards at entry level, and at key stages throughout the programme of study, the research is timely in terms of the critical consideration of the tutor role and challenges inherent in promoting appropriate standards.

Promoting self-regulated learning in technology enhanced learning environments : keeping a digital track of the learning process

Tese de doutoramento (co-tutela), Psicologia (Psicologia da Educação), Faculdade de Psicologia da Universidade de Lisboa, Faculdade de Psicologia e de Ciências da Educação da Universidade de Coimbra, Technial University of Darmstadt, 2014

Interpersonal Relationships in the Primary Classroom: an Analysis of Social and Affective Outcomes

Recent research regarding the quality of relationships in primary classrooms has focused largely on the enhancement and development of cognitive skills. The study reported here focused on a range of social and affective outcomes with the intention of broadening our understanding of the classroom as an interactive system, from the child's perspective. This paper provides empirical evidence on children's perceptions at Key Stage 2 (pupil age 7-11 years) of their relationships with teachers, other adults and children. Data were collected via an attitudinal questionnaire survey in nine primary schools in England. Results indicate that, in addition to the development of social skills, children also valued academic confidence, learning and the involvement of their parents in homework, and that these were associated with the interactions and routines established within the primary classroom settings. Some variations in terms of pupil age, teacher career phase, and the socio-economic context of the school were identified; however, the importance of the relationship between pupil and teacher remained consistent across schools.

From engagement to outcomes: measuring the impact of researcher training using the rugby team impact framework

This study addresses our approach to the difficult task of measuring the impact of an eLearning service, the Graduate Virtual Research Environment (GVRE), provided to doctoral students at a UK University since October 2009. The GVRE provides research students with access to a training needs analysis tool which is linked to a repository of video learning resources created by academics and experienced research students. This paper explores the use of the Rugby Team Impact Framework as a guide to measuring impact and our use of a number of techniques to gather evidence about the changes resulting from use of the GVRE. The framework gives four levels of evidence, starting with simple measures of provision, through attendance, interest and to outcomes. As with other research, we found the former easy to assess but the outcomes harder to define. We conclude with a critical evaluation of our research process and outcomes.

The Advancing MOOCs for Development Initiative: An examination of MOOC usage for professional workforce development outcomes in Colombia, the Philippines, & South Africa

The potential of online learning has long afforded the hope of providing quality education to anyone, anywhere in the world. The recent development of Massive Open Online Courses (MOOCs) heralded an exciting new breakthrough by providing free academic instruction and professional skills development from the world’s leading universities to anyone with the sufficient resources to access the internet. The research in Advancing MOOCs for Development Initiative study was designed to analyze the MOOC landscape in developing countries and to better understand the motivations of MOOC users and afford insights on the advantages and limitations of MOOCs for workforce development outcomes. The key findings of this study challenge commonly held beliefs about MOOC usage in developing countries, defying typical characterizations of how people in resource constrained settings use technology for learning and employment. In fact, some of the findings are so contrary to what has been reported in the U.S. and other developed environments that they raise new questions for further investigation.

Leading as designing: how educational developers in leadership and management studies can use architectural design to facilitate student learning about delivering innovation

This paper describes a qualitative observational study of how a work based learning masters leadership development programme for middle managers in health and social care in the UK introduced students to key aspects of delivering innovation, through a formative assignment on contemporary architectural design. Action learning and activity theoretical approaches were used to enable students to explore common principles of leading the delivery of innovation. Between 2001 and 2013 a total of 89 students in 7 cohorts completed the assignment. Evaluation lent support for the view that the assignment provided a powerful learning experience for many. Several students found the creativity, determination and dedication of architects, designers and structural engineers inspirational in their ability to translate a creative idea into a completed artefact, deploy resources and negotiate complex demands of stakeholders. Others expressed varying levels of self-empowerment as regards their capacity for fostering an equivalent creativity in self and others. Theoretical approaches in addition to activity theory, including Engeström’s concepts of stabilisation knowledge and possibility knowledge, are discussed to explain these differing outcomes and to clarify the challenges and opportunities for educational developers seeking to utilise cross-disciplinary, creative approaches in curriculum design.

The design studio as liminal space

This study focuses on the efficacy of design studio as a form of teaching and learning, where traditional approaches can act to position the tutor as a defender of the knowledge community rather than a discourse guide for the student. The broad curriculum of architectural education with its divergent outcomes resulting from project based learning also makes it difficult to agree on what constitutes the fundamental elements of the curriculum. The research used an approach based on threshold concepts to assist in identifying and overcoming these shortcomings. Such approaches have been described as 'liminal': holding the learner in a supportive 'in-between' state where learning resources can be directed to that which is troublesome and conceptually difficult. The study involved the use of practices to identify troublesome knowledge in design studio and conceptualise blended learning as part of a liminal studio space.

Context-aware Approach for Determining the Threshold Price in Name-Your-Own-Price Channels

Key feature of a context-aware application is the ability to adapt based on the change of context. Two approaches that are widely used in this regard are the context-action pair mapping where developers match an action to execute for a particular context change and the adaptive learning where a context-aware application refines its action over time based on the preceding action’s outcome. Both these approaches have limitation which makes them unsuitable in situations where a context-aware application has to deal with unknown context changes. In this paper we propose a framework where adaptation is carried out via concurrent multi-action evaluation of a dynamically created action space. This dynamic creation of the action space eliminates the need for relying on the developers to create context-action pairs and the concurrent multi-action evaluation reduces the adaptation time as opposed to the iterative approach used by adaptive learning techniques. Using our reference implementation of the framework we show how it could be used to dynamically determine the threshold price in an e-commerce system which uses the name-your-own-price (NYOP) strategy.

Adaptive learning in agents behaviour: a framework for electricity markets simulation

Electricity markets are complex environments with very particular characteristics. A critical issue regarding these specific characteristics concerns the constant changes they are subject to. This is a result of the electricity markets’ restructuring, which was performed so that the competitiveness could be increased, but it also had exponential implications in the increase of the complexity and unpredictability in those markets scope. The constant growth in markets unpredictability resulted in an amplified need for market intervenient entities in foreseeing market behaviour. The need for understanding the market mechanisms and how the involved players’ interaction affects the outcomes of the markets, contributed to the growth of usage of simulation tools. Multi-agent based software is particularly well fitted to analyze dynamic and adaptive systems with complex interactions among its constituents, such as electricity markets. This dissertation presents ALBidS – Adaptive Learning strategic Bidding System, a multiagent system created to provide decision support to market negotiating players. This system is integrated with the MASCEM electricity market simulator, so that its advantage in supporting a market player can be tested using cases based on real markets’ data. ALBidS considers several different methodologies based on very distinct approaches, to provide alternative suggestions of which are the best actions for the supported player to perform. The approach chosen as the players’ actual action is selected by the employment of reinforcement learning algorithms, which for each different situation, simulation circumstances and context, decides which proposed action is the one with higher possibility of achieving the most success. Some of the considered approaches are supported by a mechanism that creates profiles of competitor players. These profiles are built accordingly to their observed past actions and reactions when faced with specific situations, such as success and failure. The system’s context awareness and simulation circumstances analysis, both in terms of results performance and execution time adaptation, are complementary mechanisms, which endow ALBidS with further adaptation and learning capabilities.

Learning new tricks: Corticostriatal dynamics during novel skill learning

Learning novel actions and skills is a prevalent ability across multiple species and a critical feature for survival and competence in a constantly changing world. Novel actions are generated and learned through a process of trial and error, where an animal explores the environment around itself, generates multiple patterns of behavior and selects the ones that increase the likelihood of positive outcomes. Proper adaptation and execution of the selected behavior requires the coordination of several biomechanical features by the animal. Cortico-basal ganglia circuits and loops are critically involved in the acquisition, learning and consolidation of motor skills.(...)

An exploratory study of nurses' perceptions of their action learning experience /

Each year, the College of Nurses of Ontario (CNO) requires all registered nurses and registered practical nurses in Ontario to complete a Reflective Practice learning activity. In doing so, nurses are expected to perform a self- assessment, identify a practice problem or issue, create and implement a personal learning plan, and evaluate the learning and outcomes accomplished. The process and components of CNO's Reflective Practice program are very similar to an Action Learning activity. The purpose of this qualitative research was to explore the perceptions of 1 1 nurses who completed at least 1 Action Learning activity. Data analysis of their comments provided insight into their perceptions of the Action Learning experience, perceptions of the negative and positive characteristics of various activities within the Action Learning process, and perceptions of barriers or challenges within this experience. The author concluded that participants perceived their Action Learning activities to be a positive experience because the process focused on practice problems and issues, enhanced thinking about practice problems, and achieved practice-relevant outcomes. However, the results indicated that self-directed learning and journal writing were difficult activities for some participants, and some experienced negative emotional responses during reflection. The research concluded that barriers to implementation of Action Learning include a lack of understanding of the process and a perceived lack of support from employers.

Therapeutic riding : learning and recovery for people with disabilities

The purpose ofthis study was to explore the process oftherapeutic riding as an experiential and holistic approach to learning and recovery for people with disabilities as perceived by the providers oftherapeutic riding. To enhance the connection between theory and practice and to suggest future research, the researcher endeavoured to develop a theory that contributed to the knowledge base oftherapeutic riding, animal-assisted therapy and education, experiential education, and experiential therapy in addition to contributing to connections among them. This topic was investigated because ofthe lack ofresearch about the process of therapeutic riding, particularly from learning and a recovery perspective. Few studies have addressed how therapeutic riding outcomes are achieved or how the therapeutic riding process actually works. This study was identified as grounded theory using qualitative data through interviews and narrative reflections with therapeutic riding providers, a researcher's journal, field notes, and written documents. Grounded theory analysis was used to analyze the qualitative data. This consisted ofdoing open, axial, and selective coding. This study provided detailed descriptions ofthe research approach, researcher's involvement, participant and site selection, data collection and analysis, methodological assumptions and limitations, credibility established, and ethical considerations. The findings ofthe data analysis revealed the theme ofrelationships as central to the learning and recovery process oftherapeutic riding for people with disabilities. The significance ofthe team relationships, the horse and rider relationship, and the providers and rider relationship was found. The essential components ofthe learning and recovery process were presented in a diagram in the selective coding phase. Goals oftherapeutic riding included psycho-education; behavioural and social; physical; and equestrian. Parts ofthe process ofhow outcomes were achieved included motivation; "opens new doors;" risk; task analysis; control; communication; and environmental factors. Outcomes of therapeutic riding included independence and mobility; confidence; and transfer abilities or skills. The implications ofthese findings for theory, practice, and further research were also. explored.

Examining the influence of family support on diabetes education behavioural outcomes

The purpose of this study was to examine the influence of family support on diabetes education behavioural outcomes, specifically in relation to diet, exercise, and blood glucose monitoring in adult individuals with Type 2 diabetes. Fifty-three individuals attending diabetes education for the first time were followed approximately 1 month. The findings for the influence of family support were mixed. Family attending diabetes class with participants had a positive influence with respect to diet. This is consistent with Carl Rogers (1969) who espouses setting a positive climate for learning and that learning new attitudes or information comes when external barriers are at a minimum. However family attending class with participants had no influence with respect to exercise or blood glucose monitoring. The family support action of encouraging with respect to diet overall did not influence healthy eating behaviours except for decreased skipped meals and scheduled snacks. In fact, in the areas of family willing to make healthy choices along with participant, the less the family was involved in encouraging, the better the participant did. Exercise on the other hand was influenced positively by family encouragement. This is consistent with Bandura's theory that enhancement of self-confidence and self-efficacy can lead to desired behaviour changes. Family encouragement however did not appear to influence blood glucose monitoring behaviours. This study has implications for practice in that diabetes education programs can encourage family to attend classes or get involved in encouraging the person with diabetes, so that it may help to increase healthy eating behaviours and exercise. As time is necessary to implement changes in behaviour, future research can look at the influence of family support over a 6-month, I-year, or greater period.

Assessment done write : using collaboration to reculture teacher learning

This study examined the impact that collaborative learning had on the assessment and evaluation of writing practices of a group of teachers as they engaged in a community of learners. The study explored the development of teacher knowledge and perceptions as well as the implementation of effective assessment strategies in writing for students in grades 4 to 8 that could be achieved through collaboration. Teachers' perceptions of the value of collaboration were also embedded within the study. Multiple methods of data collection were used to gather rich and descriptive data. Those methods included interviews, observation, and documentation of meetings and of participants' perceptions of their assessment and evaluation practices. Five preexisting themes describing desired outcomes of change were used to analyze the data. These themes included: knowledge, attitude, skill, aspiration, and behaviour. While it was difficult to identify definitively the degree oflearning achieved by the participants, conclusions can be drawn that the participants experienced learning and some change in the areas of knowledge and skill, attitude, aspiration, and behaviour. What was notable was the continued belief on the part of the participants of the value of collaboration as a means of learning.

Adaptive Real-time Anomaly-based Intrusion Detection using Data Mining and Machine Learning Techniques

Die zunehmende Vernetzung der Informations- und Kommunikationssysteme führt zu einer weiteren Erhöhung der Komplexität und damit auch zu einer weiteren Zunahme von Sicherheitslücken. Klassische Schutzmechanismen wie Firewall-Systeme und Anti-Malware-Lösungen bieten schon lange keinen Schutz mehr vor Eindringversuchen in IT-Infrastrukturen. Als ein sehr wirkungsvolles Instrument zum Schutz gegenüber Cyber-Attacken haben sich hierbei die Intrusion Detection Systeme (IDS) etabliert. Solche Systeme sammeln und analysieren Informationen von Netzwerkkomponenten und Rechnern, um ungewöhnliches Verhalten und Sicherheitsverletzungen automatisiert festzustellen. Während signatur-basierte Ansätze nur bereits bekannte Angriffsmuster detektieren können, sind anomalie-basierte IDS auch in der Lage, neue bisher unbekannte Angriffe (Zero-Day-Attacks) frühzeitig zu erkennen. Das Kernproblem von Intrusion Detection Systeme besteht jedoch in der optimalen Verarbeitung der gewaltigen Netzdaten und der Entwicklung eines in Echtzeit arbeitenden adaptiven Erkennungsmodells. Um diese Herausforderungen lösen zu können, stellt diese Dissertation ein Framework bereit, das aus zwei Hauptteilen besteht. Der erste Teil, OptiFilter genannt, verwendet ein dynamisches "Queuing Concept", um die zahlreich anfallenden Netzdaten weiter zu verarbeiten, baut fortlaufend Netzverbindungen auf, und exportiert strukturierte Input-Daten für das IDS. Den zweiten Teil stellt ein adaptiver Klassifikator dar, der ein Klassifikator-Modell basierend auf "Enhanced Growing Hierarchical Self Organizing Map" (EGHSOM), ein Modell für Netzwerk Normalzustand (NNB) und ein "Update Model" umfasst. In dem OptiFilter werden Tcpdump und SNMP traps benutzt, um die Netzwerkpakete und Hostereignisse fortlaufend zu aggregieren. Diese aggregierten Netzwerkpackete und Hostereignisse werden weiter analysiert und in Verbindungsvektoren umgewandelt. Zur Verbesserung der Erkennungsrate des adaptiven Klassifikators wird das künstliche neuronale Netz GHSOM intensiv untersucht und wesentlich weiterentwickelt. In dieser Dissertation werden unterschiedliche Ansätze vorgeschlagen und diskutiert. So wird eine classification-confidence margin threshold definiert, um die unbekannten bösartigen Verbindungen aufzudecken, die Stabilität der Wachstumstopologie durch neuartige Ansätze für die Initialisierung der Gewichtvektoren und durch die Stärkung der Winner Neuronen erhöht, und ein selbst-adaptives Verfahren eingeführt, um das Modell ständig aktualisieren zu können. Darüber hinaus besteht die Hauptaufgabe des NNB-Modells in der weiteren Untersuchung der erkannten unbekannten Verbindungen von der EGHSOM und der Überprüfung, ob sie normal sind. Jedoch, ändern sich die Netzverkehrsdaten wegen des Concept drif Phänomens ständig, was in Echtzeit zur Erzeugung nicht stationärer Netzdaten führt. Dieses Phänomen wird von dem Update-Modell besser kontrolliert. Das EGHSOM-Modell kann die neuen Anomalien effektiv erkennen und das NNB-Model passt die Änderungen in Netzdaten optimal an. Bei den experimentellen Untersuchungen hat das Framework erfolgversprechende Ergebnisse gezeigt. Im ersten Experiment wurde das Framework in Offline-Betriebsmodus evaluiert. Der OptiFilter wurde mit offline-, synthetischen- und realistischen Daten ausgewertet. Der adaptive Klassifikator wurde mit dem 10-Fold Cross Validation Verfahren evaluiert, um dessen Genauigkeit abzuschätzen. Im zweiten Experiment wurde das Framework auf einer 1 bis 10 GB Netzwerkstrecke installiert und im Online-Betriebsmodus in Echtzeit ausgewertet. Der OptiFilter hat erfolgreich die gewaltige Menge von Netzdaten in die strukturierten Verbindungsvektoren umgewandelt und der adaptive Klassifikator hat sie präzise klassifiziert. Die Vergleichsstudie zwischen dem entwickelten Framework und anderen bekannten IDS-Ansätzen zeigt, dass der vorgeschlagene IDSFramework alle anderen Ansätze übertrifft. Dies lässt sich auf folgende Kernpunkte zurückführen: Bearbeitung der gesammelten Netzdaten, Erreichung der besten Performanz (wie die Gesamtgenauigkeit), Detektieren unbekannter Verbindungen und Entwicklung des in Echtzeit arbeitenden Erkennungsmodells von Eindringversuchen.