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PubMed2004

An exploration of four web-based open and flexible learning modules in post-registration nurse education.

UNLABELLED: This paper presents an exploratory evaluation of four newly developed web-based modules for post-registration nurses. The topics for the modules were: dermatology; diabetes; mentorship; and prescribing. STUDY OBJECTIVE: To explore the students' perceptions of the web-based modules before and after completing the modules. DESIGN: A pre-post test design using questionnaires and group interviews. PARTICIPANTS: 39 students enrolled on the modules, pre-module data were collected on 74% (n = 29) and post-module data on 71% (n = 28). None of students had previous web-based education experience. 79% (n = 31) completed and 66% (n = 26) passed the modules. Students level of IT skills prior to commencing the modules were important in explaining module completion and outcome. The modules were rated highly in terms of achieving learning outcomes with moderate ratings for level of support and utility of learning materials. The content analysis of the interviews highlighted the importance of preparing students ensuring they have the IT and independent learning skills necessary to participate in web-based learning programmes, together with a number of issues relating to the accessibility of the learning materials. The perceived benefits of this mode of learning were that they offered flexible and resource rich learning. The downside was that the learning can be isolating. CONCLUSIONS: This form of learning may not be suited to all groups of nurses or all educational topics. Further research is required to establish the educational benefits of different approaches to e-learning.

Adaptation, Psychological↗
PubMedDate not supplied

Individual differences in dopamine efflux in nucleus accumbens shell and core during instrumental learning.

Combined activation of dopamine D1- and NMDA-glutamate receptors in the nucleus accumbens has been strongly implicated in instrumental learning, the process in which an individual learns that a specific action has a wanted outcome. To assess dopaminergic activity, we presented rats with two sessions (30 trials each) of a one-lever appetitive instrumental task and simultaneously measured dopamine efflux in the shell and core accumbens subareas using in vivo microdialysis. Dopamine efflux was increased during each session in all areas. The behavioral performance of the rats in the second session led us to divide them into a learning group (>90% correct trials) and a non-learning group. In the first session, the rats of the learning group showed significantly higher increases. The difference was most pronounced in the shell. In the second session, the dopamine increase was similar in both groups, although the learning groups now pressed the lever about three times more often and consequently obtained more rewards. We conclude that task-related activation of dopamine efflux is different between learning and non-learning rats only during the learning phase. These results support the pharmacological evidence that dopamine is of particular importance during the instrumental learning process.

Analysis of Variance↗
PubMed2006

Learning from neural control.

One of the amazing successes of biological systems is their ability to "learn by doing" and so adapt to their environment. In this paper, first, a deterministic learning mechanism is presented, by which an appropriately designed adaptive neural controller is capable of learning closed-loop system dynamics during tracking control to a periodic reference orbit. Among various neural network (NN) architectures, the localized radial basis function (RBF) network is employed. A property of persistence of excitation (PE) for RBF networks is established, and a partial PE condition of closed-loop signals, i.e., the PE condition of a regression subvector constructed out of the RBFs along a periodic state trajectory, is proven to be satisfied. Accurate NN approximation for closed-loop system dynamics is achieved in a local region along the periodic state trajectory, and a learning ability is implemented during a closed-loop feedback control process. Second, based on the deterministic learning mechanism, a neural learning control scheme is proposed which can effectively recall and reuse the learned knowledge to achieve closed-loop stability and improved control performance. The significance of this paper is that the presented deterministic learning mechanism and the neural learning control scheme provide elementary components toward the development of a biologically-plausible learning and control methodology. Simulation studies are included to demonstrate the effectiveness of the approach.

Algorithms↗
PubMed2005

Fuzzy OLAP association rules mining-based modular reinforcement learning approach for multiagent systems.

Multiagent systems and data mining have recently attracted considerable attention in the field of computing. Reinforcement learning is the most commonly used learning process for multiagent systems. However, it still has some drawbacks, including modeling other learning agents present in the domain as part of the state of the environment, and some states are experienced much less than others, or some state-action pairs are never visited during the learning phase. Further, before completing the learning process, an agent cannot exhibit a certain behavior in some states that may be experienced sufficiently. In this study, we propose a novel multiagent learning approach to handle these problems. Our approach is based on utilizing the mining process for modular cooperative learning systems. It incorporates fuzziness and online analytical processing (OLAP) based mining to effectively process the information reported by agents. First, we describe a fuzzy data cube OLAP architecture which facilitates effective storage and processing of the state information reported by agents. This way, the action of the other agent, not even in the visual environment. of the agent under consideration, can simply be predicted by extracting online association rules, a well-known data mining technique, from the constructed data cube. Second, we present a new action selection model, which is also based on association rules mining. Finally, we generalize not sufficiently experienced states, by mining multilevel association rules from the proposed fuzzy data cube. Experimental results obtained on two different versions of a well-known pursuit domain show the robustness and effectiveness of the proposed fuzzy OLAP mining based modular learning approach. Finally, we tested the scalability of the approach presented in this paper and compared it with our previous work on modular-fuzzy Q-learning and ordinary Q-learning.

Algorithms↗
PubMed2004

The relationship between nonverbal immediacy, student motivation, and perceived cognitive learning among Japanese college students.

Research in the United States has found a strong and consistent relationship between teacher behavior and learning. Data collected from American college students indicate that perceptions of teacher nonverbal immediacy (NVI) are associated with students' feelings toward learning and perceptions of cognitive learning. The purposes of this study were to accomplish the following: (1) develop standardized Japanese versions of the instruments used to measure teacher nonverbal immediacy, student motivation, and perceived cognitive learning (how much students think they have learned); and (2) assess the relationship between NVI, student motivation, and perceptions of cognitive learning among Japanese college students. Results note that Japanese students report (1) a positive relationship between reported levels of teacher NVI and student motivation; (2) a negative relationship between reported levels of teacher NVI and perceived learning loss; and (3) a negative relationship between student motivation (SM) and perceived learning loss (how much students think they did not learn with their teacher compared to an ideal teacher). Further, cross-cultural comparisons between Japanese and American students were conducted. Results from the cross-cultural comparison suggest that the relationships between reported teacher nonverbal immediacy, student motivation, and learning loss among Japanese college students are similar to those found among American college students, but the dimensional structure of the questionnaires was different.

Journal Article↗
PubMed2000

Automating parallel implementation of neural learning algorithms.

Neural learning algorithms generally involve a number of identical processing units, which are fully or partially connected, and involve an update function, such as a ramp, a sigmoid or a Gaussian function for instance. Some variations also exist, where units can be heterogeneous, or where an alternative update technique is employed, such as a pulse stream generator. Associated with connections are numerical values that must be adjusted using a learning rule, and and dictated by parameters that are learning rule specific, such as momentum, a learning rate, a temperature, amongst others. Usually, neural learning algorithms involve local updates, and a global interaction between units is often discouraged, except in instances where units are fully connected, or involve synchronous updates. In all of these instances, concurrency within a neural algorithm cannot be fully exploited without a suitable implementation strategy. A design scheme is described for translating a neural learning algorithm from inception to implementation on a parallel machine using PVM or MPI libraries, or onto programmable logic such as FPGAs. A designer must first describe the algorithm using a specialised Neural Language, from which a Petri net (PN) model is constructed automatically for verification, and building a performance model. The PN model can be used to study issues such as synchronisation points, resource sharing and concurrency within a learning rule. Specialised constructs are provided to enable a designer to express various aspects of a learning rule, such as the number and connectivity of neural nodes, the interconnection strategies, and information flows required by the learning algorithm. A scheduling and mapping strategy is then used to translate this PN model onto a multiprocessor template. We demonstrate our technique using a Kohonen and backpropagation learning rules, implemented on a loosely coupled workstation cluster, and a dedicated parallel machine, with PVM libraries.

Algorithms↗
PubMed1996

Factors that influence phoneme-grapheme correspondence learning.

The present study examined (a) the relative impact visual and phonetic factors have on learning phoneme-grapheme correspondences, and (b) the relationship between measures of visual and phonological processing and children's ability to learn novel phoneme-grapheme correspondence pairs. Participants were 20 children with reading disabilities (RD), 10 normally achieving children matched for mental age (MA), and 10 children matched for reading age (RA). The children ranged in age from 5 years 2 months to 9 years 3 months. All children completed a phoneme-grapheme learning task consisting of four novel correspondence pairs, a visual processing task, and five measures of phonological processing. The MA and RA groups learned the four correspondence pairs in significantly fewer trials than the RD group. The RD group had the least difficulty learning the correspondence pair with different phonemes and graphemes and the most difficulty learning the correspondence pair with similar phonemes and graphemes. Performance on the learning task was significantly correlated to performance on the visual processing task and the five measures of phonological processing. Performance on the phonological processing task of short-term memory was the best predictor of overall performance on the learning task. Although children with RD were able to learn the four novel correspondence pairs, their processing deficiencies affected how readily they learned each of the correspondence pairs.

Child↗
PubMed2005

Hippocampal lesions facilitate instrumental learning with delayed reinforcement but induce impulsive choice in rats.

BACKGROUND: Animals must frequently act to influence the world even when the reinforcing outcomes of their actions are delayed. Learning with action-outcome delays is a complex problem, and little is known of the neural mechanisms that bridge such delays. When outcomes are delayed, they may be attributed to (or associated with) the action that caused them, or mistakenly attributed to other stimuli, such as the environmental context. Consequently, animals that are poor at forming context-outcome associations might learn action-outcome associations better with delayed reinforcement than normal animals. The hippocampus contributes to the representation of environmental context, being required for aspects of contextual conditioning. We therefore hypothesized that animals with hippocampal lesions would be better than normal animals at learning to act on the basis of delayed reinforcement. We tested the ability of hippocampal-lesioned rats to learn a free-operant instrumental response using delayed reinforcement, and what is potentially a related ability -- the ability to exhibit self-controlled choice, or to sacrifice an immediate, small reward in order to obtain a delayed but larger reward. RESULTS: Rats with sham or excitotoxic hippocampal lesions acquired an instrumental response with different delays (0, 10, or 20 s) between the response and reinforcer delivery. These delays retarded learning in normal rats. Hippocampal-lesioned rats responded slightly less than sham-operated controls in the absence of delays, but they became better at learning (relative to shams) as the delays increased; delays impaired learning less in hippocampal-lesioned rats than in shams. In contrast, lesioned rats exhibited impulsive choice, preferring an immediate, small reward to a delayed, larger reward, even though they preferred the large reward when it was not delayed. CONCLUSION: These results support the view that the hippocampus hinders action-outcome learning with delayed outcomes, perhaps because it promotes the formation of context-outcome associations instead. However, although lesioned rats were better at learning with delayed reinforcement, they were worse at choosing it, suggesting that self-controlled choice and learning with delayed reinforcement tax different psychological processes.

Animals↗
PubMed2001

Informal and incidental learning with patients who use continuous ambulatory peritoneal dialysis.

Adults learn continuously from the complex interplay of experiences in their day-to-day lives. This article reports on qualitative research conducted with 8 individuals with a diagnosis of end stage renal disease (ESRD) (6 women, 2 men) who were using continuous ambulatory peritoneal dialysis (CAPD). Interviews with each individual in his or her home focussed on how the participants made sense and learned from their experiences. The authors examined the data to determine the informal and incidental learning in the patients' homes, as well as the conditions that supported or limited this learning. Learning themes included understanding of medical and professional language, trusting their own experience, and living on the border of life and death. Barriers to learning included a diminished sense of personhood and the low literacy level of participants. Aspects of informal and incidental learning theory (Watkins & Marsick, 1992) are used to examine the informal learning that occurred. The authors acknowledge the adult learning implications and urge nurses to examine informal learning more closely.

Adaptation, Psychological↗
PubMed2006

Learning and utilization of generic skills by practitioners in the field of clinical laboratory science/medical technology.

OBJECTIVE: To determine whether and to what extent generic skills that are learned by practitioners are used on their clinical laboratory science/medical technologist (CLS/MT) jobs; and to determine if there are any significant differences in learning and/or using these skills by practitioners who were CLS/MT vs. Other BA/BS degree majors. DESIGN: In the field (ITF) laboratory practitioners were surveyed as to whether or not they: 1) were CLS/MT program graduates; 2) utilized the following generic skills in their jobs: analytical reasoning, communication, computer use, data correlation, decision making, precision studies, problem solving, quality assessment, supervision, teaching, technical writing, troubleshooting, research and utilization review; 3) learned these skills as students or practitioners. SETTINGS AND PARTICIPANTS: Data were collected from 515 CLS/MT ITF participants who were part of an ongoing longitudinal study. MAIN OUTCOME MEASURES: Participants were asked if they were CLS/MT program graduates; whether they used the skills frequently, sometimes, rarely or never; and whether they initially learned the skills as students or developed them on the job (OTJ). Chi square analyses were performed to test for differences among groups. RESULTS: The response rate was 44%. Frequencies for using the skills were generally over 90% with three exceptions reported as rarely or never used by the majority of the respondents, and two exceptions reported as being approximately equally used or not used by the respondents. A sizable minority (23% to 45%) of the sample reported never learning six of the skills. Significant (p < 0.05) chi square results occurred between learning and utilizing the following skills: computer use, participation in research, problem solving, supervision, technical writing and utilization studies. Although a consistently higher proportion of the CLS/MT graduates reported learning the skills as students and Other BA/BS graduates reported learning them OTJ, no significant differences between these sub-groups were observed for either learning or using these skills. CONCLUSION: For this sample group, most generic skills learned as CLS/MT students and/or practitioners are applied to the ITF jobs and are generally congruent with what is being taught in CLS/MT programs. However, there are some notable exceptions.

Clinical Competence↗
PubMed2006

Expanding nursing education through e-learning: A case study in Malaysia.

The School of Health Sciences, Universiti Sains Malaysia (SHS) is planning to expand its contribution to produce more graduate nurses by offering a nursing degree through e-learning. After three years of using e-learning by four lecturers in seven nursing courses, we conducted a study to get the lecturers feedback and to compare the students' preference and their actual experiences in e-learning. Lecturers' feedback were collected based on six open-ended questions. Feedback from all the 36 final year nursing students were collected using Constructivist On-line Learning Environment Survey (COLLES)--the Student Experience/Preferred Form. Results show that lecturers and students have positive perception on e-learning. They perceive e-learning as a powerful and effective tool for expanding nursing education to meet the demand for a labour force that is knowledgeable, highly skilled and equipped with positive values. We believe blended learning is the most suitable approach to implement e-learning and social constructivism theory provides the dynamic view of learning. To increase success in e-learning implementation for the nursing programme, lecturers should be educated regarding proper instructional design so that their content delivery blends well with the technology and pedagogy.

Consumer Behavior↗
PubMedDate not supplied

The relationship among learning, health beliefs, alcohol consumption, and tobacco use of primigravidas.

The purposes of this study were to identify how pregnant women learned about alcohol consumption and tobacco use, and to identify the relationship between learning, health beliefs and behaviours. Determining how pregnant women learned was based upon Tough's and Knowles' view of learning and consisted of identifying knowledge levels, resources utilized, advice given, time in learning, and initiators of learning episodes. The ex post facto research design involved one-hour interviews with 128 primigravidas at 8 hospitals in British Columbia, 75% of the sample consumed alcoholic beverages before becoming pregnant and these women reduced their intake by an average of 82%; 39% smoked cigarettes before becoming pregnant and these women reduced their cigarette smoking by an average of 52%. Drinkers were advised not to consume alcoholic beverages during pregnancy, whereas smokers were told by friends and family members that it was okay to smoke during pregnancy. Engagement in other-initiated learning episodes was found to be correlated with reduced alcohol intake (p less than or equal to .05); whereas, health beliefs were not correlated with reduced alcohol intake. Neither self-initiated nor other-initiated learning was associated with reduced cigarette smoking; however, perceived risk was associated with reduced cigarette smoking. Knowledge about smoking was associated with health beliefs, suggesting that learning may be indirectly related to smoking behaviours. This study should be replicated with a larger sample to determine the directionality of the association between learning, beliefs and behaviours.

Adult↗
PubMed2006

Statistical learning within and between modalities: pitting abstract against stimulus-specific representations.

When learners encode sequential patterns and generalize their knowledge to novel instances, are they relying on abstract or stimulus-specific representations? Research on artificial grammar learning (AGL) has shown transfer of learning from one stimulus set to another, and such findings have encouraged the view that statistical learning is mediated by abstract representations that are independent of the sense modality or perceptual features of the stimuli. Using a novel modification of the standard AGL paradigm, we obtained data to the contrary. These experiments pitted abstract processing against stimulus-specific learning. The findings show that statistical learning results in knowledge that is stimulus-specific rather than abstract. They show furthermore that learning can proceed in parallel for multiple input streams along separate perceptual dimensions or sense modalities. We conclude that learning sequential structure and generalizing to novel stimuli inherently involve learning mechanisms that are closely tied to the perceptual characteristics of the input.

Association Learning↗
PubMed1997

Perseveration on place reversals in spatial swimming pool tasks: further evidence for place learning in hippocampal rats.

Animals with damage to the fimbria-fornix (FF) or cells of the hippocampus (HIP) can learn a place problem but cannot learn matching-to-place problems, which feature a series of place "reversals." The two experiments described in the present report were designed to examine the causes of impairment on reversal learning. In experiment 1, control, HIP, and FF groups were trained to asymptote on a place problem, and then the location of the platform was moved. Control rats learned the reversal response more quickly than the initial response; the HIP rats learned both problems at the same rate. Swim analysis showed that the impairment in the lesion group on the reversal response was aggravated by perseverative returns to the first learned place. In experiment 2, control and FF groups were trained on a task in which the platform was visible on three daily trials and hidden on one daily trial. After 10 days, the platforms were moved. In the reversal response, the FF group showed enhanced performance on the cue trials and severely impaired performance on the place trials relative to initial learning and control performance. Swim analysis showed that FF rats perseverated on the initial place response in place trials. These experiments provide further evidence for place learning in hippocampal rats and show that perseverative responses contribute to impairments in new learning. The results are discussed in relation to the idea that the hippocampus mediates spatial mapping and/or uses self-movement cues to solve spatial problems.

Animals↗
PubMedDate not supplied

Evidence for implicit sequence learning in dyslexia.

Nicolson and Fawcett (Cognition 1990; 35: 159-182) have suggested that a deficit in the automatization of skill learning could account for the general impairments found in dyslexia. Much of the evidence for their claims has been collected via a dual task paradigm, which might allow for alternative explanations of the data. The present study examines automatic skill learning in a single task paradigm and extends previous studies by independently examining the contribution of stimulus-based and response-based learning. The task replicates Mayr's (J. Exp. Psychol.: Learning Memory Cognition 1996; 22: 350-364) methodology in the Serial Reaction Time task by exposing participants to two structured displays, simultaneously. Learning is measured by comparing RT to the learned sequence against RT to a random display. This study demonstrates learning for both dyslexic and control groups for a spatial sequence which was observed and a concurrent non-spatial sequence which was responded to via a keypress. Learning of the sequence did not seem to depend on awareness of the sequence structure. These results suggest that automatic skill learning is intact in dyslexic individuals.

Adult↗
PubMed2006

Path information effects in visual and proprioceptive spatial learning.

Objects in an environment are often encountered sequentially during spatial learning, forming a path along which object locations are experienced. The present study investigated the effect of spatial information conveyed through the path in visual and proprioceptive learning of a room-sized spatial layout, exploring whether different modalities differentially depend on the integrity of the path. Learning object locations along a coherent path was compared with learning them in a spatially random manner. Path integrity had little effect on visual learning, whereas learning with the coherent path produced better memory performance than random order learning for proprioceptive learning. These results suggest that path information has differential effects in visual and proprioceptive spatial learning, perhaps due to a difference in the way one establishes a reference frame for representing relative locations of objects.

Adolescent↗
PubMed2005

When artificial grammar acquisition in Parkinson's disease is impaired: the case of learning via trial-by-trial feedback.

Although there is strong evidence that human category learning is mediated by qualitatively distinct systems, the neural substrates of procedural category learning remain largely unclear. The present research sought to investigate the role of the basal ganglia in the acquisition of categorical knowledge via an examination of the ability of people with Parkinson's disease (PD) to learn an artificial grammar (AG) system in a format akin to habit learning tasks such as probabilistic classification learning. Eighteen nondemented patients with PD were compared with 22 matched controls on a task modified so that participants' grammar learning depended on making use of feedback provided on each trial. Results showed that patients with PD exhibited abnormal AG learning, with the deficit more pronounced early in the task. Impaired categorisation performance in patients was not related to declarative knowledge obtained during the test and was independent of frontal functioning. The findings presented here indicate that prior inconsistencies across category learning tasks in PD performance may be explained, at least in part, by whether the task necessitates the formation of associations between stimulus cues and categorical responses, and support the hypothesis that the basal ganglia play a specific role in procedural learning in complex feedback-based categorisation tasks.

Feedback↗
PubMed2003

Procedural learning in children with developmental coordination disorder.

Despite the fact that developmental coordination disorder (DCD) is characterised by a deficit in the ability to learn or automate motor skills, few studies have examined motor learning over repeated trials. In this study we examined procedural learning in a group of 10 children with DCD (aged 8-12 years) and age-matched controls without DCD. The learning task was modelled on that of Nissen and Bullemer. Children performed a serial reaction time (SRT) task in which they were required to learn a spatial sequence that repeated itself every 10 trials. Children were not aware of the repetition. Spatial targets were four (horizontal) locations presented on a computer monitor. Children responded using four response keys with the same horizontal mapping as the stimulus. They were tested over five blocks of 100 trials each. The first four blocks presented the same repeating sequence, while the fifth block was randomised. Procedural learning was indexed by the slope of the regression of RT on blocks 1-4. Results showed that most children displayed strong procedural learning of the sequence, despite having no explicit knowledge about it. Overall, there was no group difference in the magnitude of learning over blocks of trials - most children performed within the normal range. Procedural learning for simple sequential movements appears to be intact in children with DCD. This suggests that cortico-striatal circuits that are strongly implicated in the sequencing of simple movements appear to be function normally in DCD.

Attention↗