Mind mapping: A tool to facilitate learning; why not give it a try?

Schools of nursing continuously strive to facilitate learning through student engagement and teaching strategies that encourage active learning. This paper reports on the successful use of mind mapping, an underutilised and underdeveloped strategy, to enhance teaching and learning in undergraduate nurse education (Spencer et al., 2013). Mind mapping or concept mapping has been defined in the literature as a visual representation of one’s thoughts and ideas (Abel and Freeze, 2006). It is characterised by colour, images and text in a graphical, nonlinear style. Mind maps promote the linking of concepts and capitalise on the brain’s natural aptitude for visual recognition to enhance learning and memory recall (Buzan, 2006). Traditional teaching strategies depend on linear processes, which in comparison lack engagement, associations and creativity (Spencer et al., 2013). Mind mapping was introduced to nursing students undertaking modules in ‘Dimensions of Care’ and ‘Care Delivery’ on year two of the nursing degree programme in Queen’s University Belfast. The aim of introducing mind mapping was to help students make the critical link between the pathophysiology of conditions studied and the provision of informed, safe and effective patient care, which had challenged previous student cohorts. Initially maps were instructor-made as described by Boley (2008), as a template for note taking during class and as a study aid. However, students rapidly embraced the strategy and started creating their own mind maps. Meaningful learning occurs when students engage with concepts and organise them independently in a way significant to them (Buzan, 2006). Students reported high levels of satisfaction to this teaching approach. This paper will present examples of the mind maps produced and explore how mind mapping can be further utilised within the undergraduate nursing curriculum.

Construção de uma proposta formativa na modalidade e-learning para a CEGOC

Relatório de estágio de mestrado, Ciências da Educação (Formação de Adultos), Universidade de Lisboa, Instituto de Educação, 2013

Job-demand for Learning and Job-related Learning: The Moderating Effect of Need For Achievement

Purpose – The purpose of the research is to examine whether need for achievement moderates the relationship between job-demand for learning and job-related learning. Design/methodology/approach – Data were obtained from 153 participants full-time. The scales for job-demand for learning and job-related learning were developed for this research, whilst the scale for need for achievement was obtained from an external source. Hierarchical regression analysis was used in testing the hypothesized moderating effects. Findings – It was found that need for achievement moderates the relationship between job-demand for learning and job-related learning. Specifically, although job-demand for learning is correlated positively to job-related learning for both the high and the low need for achievement groups, this correlation is stronger amongst the high group. Research limitations/implications – The use of a cross-sectional design in this study prohibits inferences being drawn regarding the causal relationships between job-demand for learning, need for achievement and job-related learning. Practical implications – Job-related learning can be facilitated through increasing the need for achievement by allowing employees to establish their own learning and performance goals rather than by imposing such goals on them. The redesign of jobs to create challenges for employees is an equally important practical consideration. Originality/value – This research provides a succinct view of the relationship between an external factor, job-demand for learning, and an internal motivator, need for achievement. It emphasizes the degree to which organizations can facilitate learning through design of challenging jobs, to the extent of the individuals’ motivation.

Visual Literacy Standards in Higher Education: New Opportunities for Libraries and Student Learning

Visual literacy is essential for 21st century learners. Across the higher education curriculum, students are being asked to use and produce images and visual media in their academic work, and they must be prepared to do so. The Association of College and Research Libraries has published the Visual Literacy Competency Standards for Higher Education, which for the first time, outline specific visual literacy learning outcomes. These Standards present new opportunities for libraries to expand their role in student learning through standards-based teaching and assessment, and to contribute to campus-wide collaborative efforts to develop students’ skills and critical thinking with regard to visual materials.

Developing a Technoself System to Improve Lifelong Learning Engagement

Lifelong learning exists today in the context of a cultural and societal shift to a knowledge-based, technology-enhanced, and rapidly-changing economy. It has a significant impact on people’s lives and has become of vital importance with the emergence of new technologies that change how people communicate, collect information, and collaborate with others. The emerging technologies, such as social networking, interactive media and game technology, have expanded a new dimension of self – ‘technoself’ driven by socio-technical innovations and taken an important step forward in lifelong learning through the Technology Enhanced Learning (TEL). The TEL encourages learners as producers to embed personalized knowledge and collective experience on individualized learning within professional practice. It becomes more personal and social than traditional lifelong learning, especially about the ‘learning as socially grounded’ aspects. This paper studies the development of technoself system during lifelong learning and introduces technoself enhanced learning as a novel sociological framework of lifelong learning to couple the educational dimension with social dimension in order to enhance learner engagement by shaping personal learning focus and setting. We examine how people construct their own inquiry and learn from others, how people shift and adapt in these technoself-enhanced learning environments, and how learner engagement is improving as the involvement of learners as producers in lifelong learning. We further discuss the barriers and the positive and negative unintended consequences of using technology for lifelong learning.

Managing informal learning in engineering contexts: the learners' perspective

According to recent studies, informal learning accounts for more than 75% of our continuous learning through life. However, the awareness of this learning, its benefits and its potential is still not very clear. In engineering contexts, informal learning could play an invaluable role helping students or employees to engage with peers and also with more experience colleagues, exchanging ideas and discussing problems. This work presents an initial set of results of the piloting phase of a project (TRAILER) where an innovative service based on Information & Communication Technologies was developed in order to aid the collection and visibility of informal learning. This set of results concerns engineering contexts (academic and business), from the learners' perspective. The major idea that emerged from these piloting trials was that it represented a good way of collecting, recording and sharing informal learning that otherwise could easily be forgotten. Several benefits were reported between the two communities such as being helpful in managing competences and human resources within an institution.

Giving voice to lifelong learning in professional nursing practice

The purpose of this phenomenological study was to uncover the meaning of lifelong learning to nurses in an Academic Health Care setting. Six female pediatric nurses were interviewed and audiotaped in response to 2 main questions of interpretation and engagement in lifelong learning with respect to their nursing practice. Four additional probing questions elicited responses of further qualities and characteristics of the meaning of lifelong learning. The emergent themes uncovered the characteristics and nature of the journey of lifelong learning. The themes evolved into parallel characteristics developing into the concepts of personal empowerment and occupational authorship. The personal empowerment concept involved processes whereby the participants overcame or removed barriers to engage in personal lifelong learning. Participants utilized personal power and internal motivators to sustain their engagement in lifelong learning. The occupational authorship concept involved participants controlling their exploration into lifelong learning through collaboration and recognition of occupational demands to be met as a professional. The remaining themes revealed a seasoning journey. This journey entailed a process of mastery through the themes of engagement discord, discovery pilgrimage, transforming, and maturation. The engagement in this journey resulted in their lifelong learning to becoming more intuitive and a part oftheir being. The overall theme uncovered from the journeys was one of a vocation described as a call to thinking critically of nursing practice. The participants responded to lifelong learning as a call to be a good nurse by using critical thinking through reflection, transformative and constructionist learning processes. This study gave voice to the meaning of lifelong learning in their nursing practice as interpreted by -ao the nurse participants.

Towards Evaluating and Modelling the Impacts of Mobile-Based Augmented Reality Applications on Learning and Engagement

Mobile augmented reality applications are increasingly utilized as a medium for enhancing learning and engagement in history education. Although these digital devices facilitate learning through immersive and appealing experiences, their design should be driven by theories of learning and instruction. We provide an overview of an evidence-based approach to optimize the development of mobile augmented reality applications that teaches students about history. Our research aims to evaluate and model the impacts of design parameters towards learning and engagement. The research program is interdisciplinary in that we apply techniques derived from design-based experiments and educational data mining. We outline the methodological and analytical techniques as well as discuss the implications of the anticipated findings.

Towards Evaluating and Modelling the Impacts of Mobile-Based Augmented Reality Applications on Learning and Engagement

Mobile augmented reality applications are increasingly utilized as a medium for enhancing learning and engagement in history education. Although these digital devices facilitate learning through immersive and appealing experiences, their design should be driven by theories of learning and instruction. We provide an overview of an evidence-based approach to optimize the development of mobile augmented reality applications that teaches students about history. Our research aims to evaluate and model the impacts of design parameters towards learning and engagement. The research program is interdisciplinary in that we apply techniques derived from design-based experiments and educational data mining. We outline the methodological and analytical techniques as well as discuss the implications of the anticipated findings.

Reinforcement Learning Approaches to Power System Scheduling

One major component of power system operation is generation scheduling. The objective of the work is to develop efficient control strategies to the power scheduling problems through Reinforcement Learning approaches. The three important active power scheduling problems are Unit Commitment, Economic Dispatch and Automatic Generation Control. Numerical solution methods proposed for solution of power scheduling are insufficient in handling large and complex systems. Soft Computing methods like Simulated Annealing, Evolutionary Programming etc., are efficient in handling complex cost functions, but find limitation in handling stochastic data existing in a practical system. Also the learning steps are to be repeated for each load demand which increases the computation time.Reinforcement Learning (RL) is a method of learning through interactions with environment. The main advantage of this approach is it does not require a precise mathematical formulation. It can learn either by interacting with the environment or interacting with a simulation model. Several optimization and control problems have been solved through Reinforcement Learning approach. The application of Reinforcement Learning in the field of Power system has been a few. The objective is to introduce and extend Reinforcement Learning approaches for the active power scheduling problems in an implementable manner. The main objectives can be enumerated as:(i) Evolve Reinforcement Learning based solutions to the Unit Commitment Problem.(ii) Find suitable solution strategies through Reinforcement Learning approach for Economic Dispatch. (iii) Extend the Reinforcement Learning solution to Automatic Generation Control with a different perspective. (iv) Check the suitability of the scheduling solutions to one of the existing power systems.First part of the thesis is concerned with the Reinforcement Learning approach to Unit Commitment problem. Unit Commitment Problem is formulated as a multi stage decision process. Q learning solution is developed to obtain the optimwn commitment schedule. Method of state aggregation is used to formulate an efficient solution considering the minimwn up time I down time constraints. The performance of the algorithms are evaluated for different systems and compared with other stochastic methods like Genetic Algorithm.Second stage of the work is concerned with solving Economic Dispatch problem. A simple and straight forward decision making strategy is first proposed in the Learning Automata algorithm. Then to solve the scheduling task of systems with large number of generating units, the problem is formulated as a multi stage decision making task. The solution obtained is extended in order to incorporate the transmission losses in the system. To make the Reinforcement Learning solution more efficient and to handle continuous state space, a fimction approximation strategy is proposed. The performance of the developed algorithms are tested for several standard test cases. Proposed method is compared with other recent methods like Partition Approach Algorithm, Simulated Annealing etc.As the final step of implementing the active power control loops in power system, Automatic Generation Control is also taken into consideration.Reinforcement Learning has already been applied to solve Automatic Generation Control loop. The RL solution is extended to take up the approach of common frequency for all the interconnected areas, more similar to practical systems. Performance of the RL controller is also compared with that of the conventional integral controller.In order to prove the suitability of the proposed methods to practical systems, second plant ofNeyveli Thennal Power Station (NTPS IT) is taken for case study. The perfonnance of the Reinforcement Learning solution is found to be better than the other existing methods, which provide the promising step towards RL based control schemes for practical power industry.Reinforcement Learning is applied to solve the scheduling problems in the power industry and found to give satisfactory perfonnance. Proposed solution provides a scope for getting more profit as the economic schedule is obtained instantaneously. Since Reinforcement Learning method can take the stochastic cost data obtained time to time from a plant, it gives an implementable method. As a further step, with suitable methods to interface with on line data, economic scheduling can be achieved instantaneously in a generation control center. Also power scheduling of systems with different sources such as hydro, thermal etc. can be looked into and Reinforcement Learning solutions can be achieved.

Food for thought: the role of dietary flavonoids in enhancing human memory, learning and neuro-cognitive performance

Emerging evidence suggests that dietary-derived flavonoids have the potential to improve human memory and neuro-cognitive performance via their ability to protect vulnerable neurons, enhance existing neuronal function and stimulate neuronal regeneration. Long-term potentiation (LTP) is widely considered to be one of the major mechanisms underlying memory acquisition, consolidation and storage in the brain and is known to be controlled at the molecular level by the activation of a number of neuronal signalling pathways. These pathways include the phosphatidylinositol-3 kinase/protein kinase B/Akt (Akt), protein kinase C, protein kinase A, Ca-calmodulin kinase and mitogen-activated protein kinase pathways. Growing evidence suggests that flavonoids exert effects on LTP, and consequently memory and cognitive performance, through their interactions with these signalling pathways. Of particular interest is the ability of flavonoids to activate the extracellular signal-regulated kinase and the Akt signalling pathways leading to the activation of the cAMP-response element-binding protein, a transcription factor responsible for increasing the expression of a number of neurotrophins important in LTP and long-term memory. One such neurotrophin is brain-derived neurotrophic factor, which is known to be crucial in controlling synapse growth, in promoting an increase in dendritic spine density and in enhancing synaptic receptor density. The present review explores the potential of flavonoids and their metabolite forms to promote memory and learning through their interactions with neuronal signalling pathways pivotal in controlling LTP and memory in human subjects.

Resilient responses to climate change: exploring organisational learning in networked development organisations

Drawing from the organisational learning and governance literature, this paper assesses four internationally networked governmental and non‐governmental organisations in the UK addressing climate change. We analyse how those concerned understand the climate change crisis, what mechanisms are put in place to address information flows, and what evidence there is of learning through sharing information between the organisational headquarters and their regional offices. The most striking finding is the evidence of learning that largely depends on ad‐hoc informal processes and shadow networks.

Effective interventions: 25 years outside the mainstream

25 years ago when the Durham conferences were in full swing, I presented results of investigations on language and behaviour in autism. I tentatively proposed that early language in autism might tell us about the cognitive skills of people with ASD and the behaviour might lead to greater understanding of which brain systems might be affected. In this presentation, I will update these topics and present a summary of other work I have been involved with in attempting to improve the lives of people with autism and their families. Data on three people with autism at the early stages of speech development showed an unusual pattern of learning colour and number names early. One possibility was that this skill represented a sign of weak central coherence – they only attended to one dimension. Colleagues of mine were equally puzzled so we tried to find out if my results could be replicated – they were not (see Schafer, Williams & Smith, 2014). Instead we found this pattern was also seen in Down Syndrome, but that early vocabulary in autism was associated with low Colorado Meaningfulness at least in comprehension. The Colorado Meaningfulness of a word is a measure of how many words can be associated with it and often involve extensive use of context. Our data suggest that the number of contexts in which a particular word can appear has a role in determining vocabulary in ASD which is consistent with the weak central coherence theory of autism. In the course of this work I also came across a group of young people with autism who appeared to have a written vocabulary but not a spoken one. It seems possible that print might be a medium of communication when speech is not. Repetitive behaviour in autism remains a mystery. We can use functional analysis to determine why the behaviour occurs, but a worryingly large percentage of behaviours are described as being internally driven or sensory reinforced. What does that mean in terms of brain activity – could it be system analogous to epilepsy, where brain activity becomes inappropriately synchronised? At the moment I cannot claim to have solved this problem, but if sensation is a driver then sensory interventions should make a difference. Data from a recent study will be presented to suggest that for some individuals this is the case. Social behaviour remains the key however, and it remains to be seen whether it is possible for social behaviour to be aided. One route that has potential is direct teaching of skills through drama and working with others who do not have social difficulties of the same type. The picture is complicated by changes in social skills with age and experience, but the failure of people with ASD to interact when in settings of social contact is little researched.

Learning to lead for business growth – implications for supporting SMEs in Wales

The Welsh private and third sectors are heavily dependent on SMEs. Consequently the performance of SMEs is critical to the performance of the Welsh economy. Substantial public funds, particularly from European Structural Funds, have been allocated to support these since 2000. The majority of programmes thus funded have been led from within the Welsh Government. This paper reports interim evaluation findings from one intervention led by two Welsh higher education institutions (HEIs), namely the LEAD Wales programme. The programme is an extended intervention to support the leadership skills of owner-managers and incorporates a range of learning methods, including formal masterclasses, but emphasizes situated and experiential learning through action learning, coaching and peer-to-peer exchange exercises. The programme’s impact is assessed on the experiences of 325 participants, of whom 217 have completed the programme. The paper concludes that situated learning methods, through which participants are able to draw from shared history and experience over an extended period are critical to programme success. By contrast, short-term thematic teaching, based around more formal, hierarchical learning is less likely to yield significant and sustainable economic benefits. The implications of this for business support in Wales are discussed.

Avaliação de Impacto em projetos sociais do terceiro setor: uma contribuição da teoria de policy learning

Esta pesquisa analisará o aprendizado em organizações do terceiro setor a partir de dois eixos principais: 1) Aprendizado através de análises empíricas (Avaliação de Impacto) - Pretende-se entender as principais recomendações para o terceiro setor em relação a Avaliação de Impacto e qual o cenário atual dessas práticas no contexto brasileiro. Para isso, foram entrevistadas 50 instituições que fazem parte de uma rede de organizações na área de educação, para entender como a avaliação vem sendo aplicada; 2) Aprendizado através da dimensão de Policy Learning: Social Learning e Instrumental Learning – Estabelecimento de conexão de teorias de aprendizado em políticas públicas com as instituições do terceiro setor e análise de possibilidades de aprendizado através de outras experiências e boas práticas.