Problem based learning (PBL): a conundrum

Abstract Problem Based Learning (PBL) using minimal guided instruction is used as an educational strategy across a broad variety of disciplines in the tertiary sector. This paper includes some of the strengths and weaknesses of PBL, both in general and in relation to the health care setting, encompassing some of its philosophical underpinnings and its methodological approach. In an effort to explore some of the benefits and problems with PBL in the work setting, this account will comprise a realistic rather than idealistic focus and will include a range of perspectives from both a facilitator and student standpoint. We suggest that PBL is a useful strategy across a comprehensive nursing degree programme (as the ideal) provided the learning programme is supported financially and that its ideal creed which supports a small group approach are adhered to. What we find is that reality is often different, with individual facilitators condensing their PBL programmes to incorporate a modified PBL approach with this personalised approach often taking strength away from the original conceptions of PBL. What we suggest here is that these circumstances constitute a conundrum.

Widening access to lifelong learning for adults in Ethiopia: opportunities with recognition of prior learning

Socio-economic implication of the lifelong learning for all agenda is enormous. The very idea of lifelong learning frees learning from time and space constraints. It advocates learning to be an activity of a lifetime both within and without the formal education system. The assumption is that lifelong and life-wide learning will promote competitiveness, creativity, employability and social cohesion. Taking it in the context of developing countries such as Ethiopia, lifelong learning as an educational organising principle may play a vital role in supporting efforts to eradicate illiteracy and reduce poverty. Recently, Ethiopia has introduced the third phase of their education sector development programme, which underscores the importance of adult education, and a national strategy for adult education. This paper analyses the two documents to understand the extent to which non-formal and formal education are linked, and thereby to highlight the significance of institutionalising the recognition of prior learning (RPL) to promote lifelong learning for adults and working population.

Structural equation modeling for evaluating the user perceptions of E-learning effectiveness in higher education

A crucial prerequisite for sustainable e-learning is the understanding of learners’ preferences for various pedagogical strategies, technologies, and the management of learning resources. This paper presents an empirical study aiming to empirically test the theoretical (pedagogies, technologies and management) (PTM) model on the preference of learners and on the perceived impact of the effectiveness of e-learning. This study uses structural equation modelling (SEM) to identify the critical dimensions in the PTM model for augmenting the effectiveness of e-learning. This leads to the development of a PTM model with the path coefficients showing weak to strong relationships ranging from 0.15 to 0.42 with acceptable significance levels. The results support the hypothesis that management, technology, resources and metadata ontology dimensions affect the effectiveness of elearning both directly and indirectly through enhancing the management effectiveness of learning resources. However, the result does not support positive influence of pedagogical strategy per se on e-learning effectiveness. The implications of this study indicate the criticality of effective management of learning resources to enhance e-learning effectiveness.

The development of a medication calculation competency and quality use of renal medicine e-learning program.

Medication calculation and administration are commonly performed nursing tasks. A consequence of this frequency is thepotential for a higher incidence of medication-related errors. One strategy to assess proficiency in medication calculation is an annual medication calculation competency quiz. Traditionally, these quizzes are done in paper form at an institutional level and require educators or managers to administer and mark the quiz manually by hand. This paper discusses the rationale, challenges and peer-review process associated with the development of an e-learning programme designed to assess proficiency in medication calculation and the quality use of renal medicines.

Innovating from the inside: teacher influence and the 'promisingness' of digital learning environments

In line with global trends, Australian educational policy emphatically recognises the need for contemporary learners to be digitally literate, with provision of 'one-to-one' devices to individual learners in schools a major implementation strategy. However, without teacher commitment, the benefits of such investment in one-to-one programs are undermined and the devices themselves are under-utilised. Too often, the focus on hardware is not accompanied by insight into the organisational learning and change required in pedagogical practices. In the knowledge that curriculum and pedagogical renewal rests squarely with teachers and leaders rather than with technological hardware and software per se, this article draws on outcomes/findings from a school/university ethnographic collaboration which closely explored the introduction of a school-funded, one-to-one netbook program in a school excluded from a state-wide initiative. It seeks to make visible the often overlooked work of teachers as members of learning organisations through a narrative of change. The narrative focuses on teacher agency and capacity to mobilise a school community to commit to a vision of; no-blame risk taking; collective professional learning; the power of purpose and passion; leadership in the face of government practice which disempowered teachers and disadvantaged students; and the development of an innovation 'from the inside'.

Organisational learning as an emerging process: the generative role of digital tools in informal learning practices

 Increasing attention is paid to organisational learning, with the success of contemporary organisations strongly contingent on their ability to learn and grow. Importantly, informal learning is argued to be even more significant than formal learning initiatives. Given the widespread use of digital technologies in the workplace, what requires further attention is how digital technologies (eg, massive open online courses—MOOC) enable informal learning processes. Drawing from Complex Adaptive Systems (CAS) theory, in this paper we advance a conceptual model for examining this important topic. The two dimensional matrix and the micro-level description of informal learning activities presented provide a framework for both further research on technology-mediated practices for informal learning, as well as the design of formative contexts for learning to occur.

An evaluation of the impact of using authentic design and build industry projects in project-based learning

BACKGROUNDChisholm’s ‘first year experience’ is a significant feature of the new industry focused Bachelor of Engineering Technology program delivered in association with the South East Melbourne Manufacturers’ Alliance (SEMMA). This conceive-design-implement-operate (CDIO Initiative) program commenced as a full time program in first semester 2012. Whereas it is common for CDIO Initiative programs to have a first year experience program containing a project typical of the type of industry project they would complete as a graduate engineer or engineering technologist, this goes further by using real industry projects provided by SEMMA members.This design-and-build industry project runs across both semesters supporting project-based learning in three first year subjects. A concern is that the industry involvement of the projects adds substantially to an already heavy student workload. This has been further increased by the addition of two additional first year initiatives: writing workshops, and training in, and substantial use of, student oral presentations. It is recognised that an excessive workload could lead students to adopt surface learning approaches in other subjects.PURPOSEThe goal of the project is to evaluate student perceptions of the value and work load impact of the industry project and the other new first year initiatives.DESIGN/METHODCentral to this project is a student survey-based evaluation of the industry project based learning that is the core of the ‘first year experience’. The participants were limited to the small group of students who, in a single year, completed all three subjects that comprise the ‘first year experience’. To avoid compromising the results the survey was administered by Chisholm Institute’s Department of Strategy and Planning with no engineering technology degree program staff present. The survey included questions to enable responses to be linked with specific student demographics without identifying any of the respondents.RESULTSThe study showed the industry project-based learning had worthwhile outcomes but placed considerable time pressures on most respondents. For some, this also impacted on their other subjects. A first year oral presentation program was also shown to have worthwhile outcomes. However no conclusions could be reliably drawn on the third initiative – writing workshops.CONCLUSIONSThe results confirm that the authentic industry project is considered a worthwhile initiative but contributes significantly to student overload. This applies also – to a lesser extent – to the first year oral presentation program. Both also require new approaches to delivery as student numbers increase. Strategies to address these issues are discussed.

LC-REHAB : randomised trial assessing the effect of a new patient education method - learning and coping strategies - in cardiac rehabilitation

Due to improved treatments and ageing population, many countries now report increasing prevalence in rates of ischemic heart disease and heart failure. Cardiac rehabilitation has potential to reduce morbidity and mortality, but not all patients complete. In light of favourable effects of cardiac rehabilitation it is important to develop patient education methods which can enhance adherence to this effective program. The LC-REHAB study aims to compare the effect of a new patient education strategy in cardiac rehabilitation called 'learning and coping' to that of standard care. Further, this paper aims to describe the theoretical basis and details of this intervention.

Barriers and enablers to learning during team-based clinical simulations: reflective interviews with final year undergraduate nursing students

Background: Contemporary approaches to clinical simulation can enhance educational outcomes. However, simulation approaches do have limitations with possible compromises for learning and teaching. This paper aims to identify barriers
and enablers to learning in simulated clinical settings.
Methods: A generic qualitative design was applied. Semi-structured group video debriefing interviews were held with Australian final-year nursing students who completed three patient deterioration scenarios with a standardized patient.
Audio-recorded interviews were transcribed and analysed to identify emergent themes.
Results: Interviews with 15 teams of three students (n = 45) from three universities were analysed. Learning enablers were ‘Realism of the simulated environment’; ‘Practicing: we should do this at uni’; ‘Learning from reflection and expert feedback’, and ‘How to become competent: know the gaps’. Barriers to learning included ‘Increased stress from inexperience; ‘Expectations when pretending’ and ‘Lack of assistance’. Skills practice in team-based settings with applicable reflection and debriefing was regarded as beneficial. Simulated patients enhanced fidelity but were unable to replicate actual clinical signs. High stress levels were perceived as a barrier to learning.
Conclusions: Applicably designed high fidelity simulations with video-based reflective review offer repeated rehearsal of clinical situations to enable learning. This educational strategy may reduce the time it takes undergraduate students to
reach competency.

Hierarchical Bayesian models of subtask learning

 The current study used Bayesian hierarchical methods to challenge and extend previous work on subtask learning consistency. A general model of individual-level subtask learning was proposed focusing on power and exponential functions with constraints to test for inconsistency. To study subtask learning, we developed a novel computer-based booking task, which logged participant actions, enabling measurement of strategy use and subtask performance. Model comparison was performed using deviance information criterion (DIC), posterior predictive checks, plots of model fits, and model recovery simulations. Results showed that although learning tended to be monotonically decreasing and decelerating, and approaching an asymptote for all subtasks, there was substantial inconsistency in learning curves both at the group- and individual-levels. This inconsistency was most apparent when constraining both the rate and the ratio of learning to asymptote to be equal across subtasks, thereby giving learning curves only 1 parameter for scaling. The inclusion of 6 strategy covariates provided improved prediction of subtask performance capturing different subtask learning processes and subtask trade-offs. In addition, strategy use partially explained the inconsistency in subtask learning. Overall, the model provided a more nuanced representation of how complex tasks can be decomposed in terms of simpler learning mechanisms.

Developing professional attributes in critical care nurses using Team-Based Learning.

Australian nurses prepare for specialty practice by undertaking postgraduate theoretical and clinical education in partnership models between universities and hospitals. In our global healthcare system, nurses require advanced critical thinking and strong communication skills to provide safe, high quality patient care. Yet, few education programs focus on developing these skills. Team-Based Learning (TBL) is a specific educational strategy that encourages and rewards students to think critically and solve clinical problems individually and in teams. The aim of this study was to investigate critical care nursing students' perceptions and experiences of TBL after it was introduced into the second half of their postgraduate specialty course. Following Ethics Committee approval, thirty-two students were invited to participate in an extended response questionnaire on their perceptions of TBL as part of a larger study. Data were analyzed thematically. Postgraduate students perceived their professional growth was accelerated due to the skills and knowledge acquired through TBL. Four themes underpinned the development and accelerated acquisition of specialty nurse attributes due to TBL: Engagement, Learning Effectiveness, Critical Thinking, and Motivation to Participate. Team-Based Learning offered deep and satisfying learning experiences for students. The early acquisition of advanced critical thinking, teamwork and communication skills, and specialty practice knowledge empowered nurses to provide safe patient care with confidence.

Leading indigenous cultural inclusion: a partnership for learning

The Leading Indigenous Cultural Inclusion module was developed by Deakin University for the Department of Education and the Bastow Institute. The tender was developed as a response to the DET policy shift from Wannik to the Koorie Education Strategy. Participants included leading teachers, principals and regional consultants. The five-day program included a two day residential program, one day follow up, school visits and a final day at Melbourne Museum. This workshop will highlight the challenges and successes of working across inter-agency and intra-agency co-operation and how these were resolved. The workshop includes: the successes and challenges faced by participants as they implemented their reconciliation action plan and their reflections on learning from the Leading Indigenous Cultural Inclusion module.

Dynamic cloud service selection using an adaptive learning mechanism in multi-cloud computing

Cloud service selection in a multi-cloud computing environment is receiving more and more attentions. There is an abundance of emerging cloud service resources that makes it hard for users to select the better services for their applications in a changing multi-cloud environment, especially for online real time applications. To assist users to efficiently select their preferred cloud services, a cloud service selection model adopting the cloud service brokers is given, and based on this model, a dynamic cloud service selection strategy named DCS is put forward. In the process of selecting services, each cloud service broker manages some clustered cloud services, and performs the DCS strategy whose core is an adaptive learning mechanism that comprises the incentive, forgetting and degenerate functions. The mechanism is devised to dynamically optimize the cloud service selection and to return the best service result to the user. Correspondingly, a set of dynamic cloud service selection algorithms are presented in this paper to implement our mechanism. The results of the simulation experiments show that our strategy has better overall performance and efficiency in acquiring high quality service solutions at a lower computing cost than existing relevant approaches.

Examining the effect of time constraint on the online mastery learning approach towards improving postgraduate students' achievement

Time control plays a critical role within the online mastery learning (OML) approach. This paper examines the two commonly implemented mastery learning strategies – personalised system of instructions and learning for mastery (LFM) – by focusing on what occurs when there is an instructional time constraint. Using a large data set from a postgraduate finance course offered at an Australian university, we explore students' online quiz-completion patterns, then empirically investigate whether the imposition of an instructional time constraint in the OML approach has an impact on their final-examination performance. Our results suggest that the LFM strategy with an instructional time constraint has a positive impact on students' learning behaviour and contributes to better overall academic performance. Further, our findings suggest that facilitators should be encouraged to implement an instructional time constraint when adopting an OML approach.

A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting

This paper presents a novel design of interval type-2 fuzzy logic systems (IT2FLS) by utilizing the theory of extreme learning machine (ELM) for electricity load demand forecasting. ELM has become a popular learning algorithm for single hidden layer feed-forward neural networks (SLFN). From the functional equivalence between the SLFN and fuzzy inference system, a hybrid of fuzzy-ELM has gained attention of the researchers. This paper extends the concept of fuzzy-ELM to an IT2FLS based on ELM (IT2FELM). In the proposed design the antecedent membership function parameters of the IT2FLS are generated randomly, whereas the consequent part parameters are determined analytically by the Moore-Penrose pseudo inverse. The ELM strategy ensures fast learning of the IT2FLS as well as optimality of the parameters. Effectiveness of the proposed design of IT2FLS is demonstrated with the application of forecasting nonlinear and chaotic data sets. Nonlinear data of electricity load from the Australian National Electricity Market for the Victoria region and from the Ontario Electricity Market are considered here. The proposed model is also applied to forecast Mackey-glass chaotic time series data. Comparative analysis of the proposed model is conducted with some traditional models such as neural networks (NN) and adaptive neuro fuzzy inference system (ANFIS). In order to verify the structure of the proposed design of IT2FLS an alternate design of IT2FLS based on Kalman filter (KF) is also utilized for the comparison purposes.