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PubMed2002

Associations between student learning outcomes from their clinical placement and their perceptions of the social climate of the clinical learning environment.

The aim of this study was to investigate the associations between student learning outcomes from their clinical placement and their perceptions of the social climate of the clinical learning environment. The Clinical Learning Environment Inventory (CLEI) was used to collect data. The final sample group consisted of 108 second-year nursing students undertaking clinical placement in 14 metropolitan hospitals in South Australia. Findings from the study suggested that students' perceptions of the outcomes of their clinical placement are strongly associated with all five scales of the CLEI namely; Individualisation, Innovation, Involvement, Personalisation and Task Orientation. It is interesting to note that student who perceived the outcomes of their clinical placement as greatly positive, have placed high expectations on the scale, Task Orientation. The study also found that there were significant differences between students' perceptions of the actual clinical learning environment with their preferred clinical learning environment. The value of this study lies in the resulting implication for nursing education and future research. A better understanding of what constitutes quality clinical education from the students' perspective would be valuable in providing better educational experiences.

Education, Nursing↗

PubMed2000

The cerebellum and cognition: cerebellar lesions impair sequence learning but not conditional visuomotor learning in monkeys.

Claims that the cerebellum contributes to cognitive processing in humans have arisen from both functional neuroimaging and patient studies. These claims challenge traditional theories of cerebellar function that ascribe motor functions to this structure. We trained monkeys to perform both a visuomotor conditional associative learning task and a visually guided sequence task, and studied the effects of bilateral excitotoxic lesions in the lateral cerebellar nuclei. In the first experiment three operated monkeys showed a small impairment in post-operative retention of a visuomotor associative task (A) but were then not impaired in learning a new task (B). However, the impairment on A could have been due to a problem in making the movements themselves. In a second experiment we therefore gave the three control animals a further pre-operative retest on both A and B and then tested after surgery on retention of both tasks. Though again the animals showed motor problems on task A, they reached criterion, and at this stage could clearly make both movements satisfactorily. The critical test was then retention of task B, and they were not impaired. In the final experiment (serial reaction time task) the monkeys response times on a repeating visuomotor sequence were compared with those for a pseudo-random control sequence. After bilateral nuclei lesions they were slow to execute the pre-operatively learned sequence but were still faster on this than on the control task. However, when they were then given a new repeating sequence to learn, they never performed the sequence as quickly as they had on retention of the first sequence. We conclude that the cerebellum is not essential for the learning or recall of stimulus-response associations but that it is crucially involved in the process by which motor sequences become automatic with extended practice.

Animals↗

PubMed1994

Neurobiology of associative learning in the neonate: early olfactory learning.

Mammalian neonates have been simultaneously described as having particularly poor memory, as evidenced by infantile amnesia, and as being particularly excellent learners with unusually plastic nervous systems that are easily influenced by experience. An understanding of the neurobiological constraints and mechanisms of early learning may contribute to a unified explanation of these two disparate views. Toward that end, we review here our work on the neurobiology of learning and memory in neonates. Specifically, we have examined the neurobiology of early learning using an olfactory classical conditioning paradigm. Olfactory classical conditioning in neonates at the behavioral level conforms well with the requirements and outcomes of classical conditioning described in adults. Furthermore, specific neural correlates of this behavioral conditioning have been described including anatomical and physiological changes, neural pathways, and modulatory systems. In this Review, we outline the behavioral paradigm, the identified neural correlates, and apparent mechanisms of this learning. Finally, we compare the neurobiology of early learning with that reported for mature animals, with specific reference to the role of US-CS convergence, memory modulation, consolidation, and distributed memory.

Animals↗

PubMed1991

Enhancement of spatial learning in F344 rats by physical activity and related learning-associated alterations in hippocampal and cortical cholinergic functioning.

The effects of physical activity on spatial memory performance and associated cholinergic function were examined in F344 rats. Cholinergic analysis included resting and depolarization-induced activation of high-affinity choline uptake and muscarinic receptor binding in the hippocampus, parietal cortex and frontal cortex. Rats that were physically trained, using chronic treadmill running, demonstrated significantly enhanced performance on the spatial learning task, both in second trial latency and first and second trial proximity ratio scores (P less than 0.002). Concomitant with enhanced behavioral performance were neurochemical changes of a reduction in hippocampal high-affinity choline uptake, an upregulation of muscarinic receptor density, and an increase in high-affinity choline uptake 24 h after spatial memory testing (P less than 0.05). Spatial memory tested rats demonstrated enhanced depolarization-induced activation of high-affinity choline uptake (P less than 0.001). Rats that were yoked for swim time to spatial memory tested rats did not show any spatial learning-induced alterations in high affinity choline uptake. These spatial learning- and physical activity-induced cholinergic alterations were observed only in the hippocampus, not in the parietal or frontal cortex. These data indicate that the chronic running-induced alterations in hippocampal high-affinity choline uptake and upregulation of muscarinic receptor density, in combination with enhancement of high-affinity choline uptake related to spatial learning, may contribute to the enhanced spatial learning performance of chronic-run rats.

Animals↗

PubMed1998

Freedom to enjoy learning in the 21st century: developing an active learning culture in nursing.

In 1994, the Wolfson School of Health Sciences was created in Thames Valley University, UK. This paper discusses an active learning approach being implemented throughout the university, and gives an outline of its application within nursing education. Practising as a confident, competent, reflective practitioner in the profession of nursing cannot automatically commence on the day of registration. Rather, the philosophical underpinnings necessary should be fostered throughout the initial nursing education curricula. In a political climate where there is a strong emphasis on efficiency, nurse teachers need to reconsider how the acquisition of nursing knowledge is facilitated. A description of how an active learning approach is being further developed in the nursing skills laboratory and the physiology laboratory is given. An outline identifies how these facilities may help students of nursing to gain knowledge and skills in relation to respiration. The authors recognize that while laboratories have been used widely in general education, their use has been limited in nursing education, particularly in the UK. Informal feedback from students implies that not only do they enjoy learning in these facilities, but also motivation towards learning is raised, an important element in the learning process. It is suggested that this will result ultimately in increased nursing competence. The authors acknowledge that these are preliminary informal findings and that formal investigation is required.

Education, Nursing, Baccalaureate↗

PubMed2000

Brain mechanisms of selective learning: event-related potentials provide evidence for error-driven learning in humans.

Selective learning has been observed in Pavlovian conditioning in animals and in judgements of event contingencies in humans. This analogy led to the suggestion that the formation of associations underlies both types of learning. An alternative theory proposes that both tasks involve the computation of event contingencies as prescribed by probability theory. Error-driven models of learning incorporate trial-by-trial error-correction mechanisms during training whereas probabilistic models view learning merely as the storage of frequency information for later use during judgement of event contingencies. Competitive interaction between cues was observed in a contingency judgement task. Event-related brain potentials (ERPs) provided evidence for brain events related to the discrepancy between actual and expected outcomes during training thus supporting error-driven accounts of selective learning.

Adult↗

PubMed1998

Distance learning, problem based learning and dynamic knowledge networks.

This paper is an attempt to develop a distance learning model grounded upon a strict integration of problem based learning (PBL), dynamic knowledge networks (DKN) and web tools, such as hypermedia documents, synchronous and asynchronous communication facilities, etc. The main objective is to develop a theory of distance learning based upon the idea that learning is a highly dynamic cognitive process aimed at connecting different concepts in a network of mutually supporting concepts. Moreover, this process is supposed to be the result of a social interaction that has to be facilitated by the web. The model was tested by creating a virtual classroom of medical and nursing students and activating a learning session on the concept of knowledge representation in health sciences.

Computer Communication Networks↗

PubMed2000

Learning to read is much more than learning to read: a neuropsychologically based reading program.

Departing from the observation that illiterates significantly underscore in some neuropsychological tests, a learning-to-read method named NEUROALFA was developed. NEUROALFA is directed to reinforce these underscored abilities during the learning-to-read process. It was administered to a sample of 21 adult illiterates in Colima (Mexico). Results were compared with 2 control groups using more traditional procedures in learning to read. The NEUROPSI neuropsychological test battery was administered to all the participants before and after completing the learning-to-read training program. All 3 groups presented some improvement in the test scores. Gains, however, were significantly higher in the experimental group in Orientation in Time, Digits Backward, Visual Detection, Verbal Memory, Copy of a Semi-Complex Figure, Language Comprehension, Phonological Verbal Fluency, Similarities, Calculation Abilities, Sequences, and all the recall subtests, excluding Recognition. Performance in standard reading tests was also significantly higher in the experimental group. Correlations between pretest NEUROPSI scores and reading ability were low. However, correlations between posttest NEUROPSI scores and reading scores were higher and significant for several subtests. Results are interpreting as supporting the assumption that reinforcement of those abilities in which illiterates significantly underscore results in a significant improvement in neuropsychological test scores and strongly facilitates the learning-to-read process. The NEUROALFA method of teaching reading to adult illiterates is beginning to be used extensively in Mexico. To our knowledge, this is the first attempt to apply neuropsychological principles to social problems.

Adolescent↗

PubMed2001

Striatal contributions to category learning: quantitative modeling of simple linear and complex nonlinear rule learning in patients with Parkinson's disease.

The contribution of the striatum to category learning was examined by having patients with Parkinson's disease (PD) and matched controls solve categorization problems in which the optimal rule was linear or nonlinear using the perceptual categorization task. Traditional accuracy-based analyses, as well as quantitative model-based analyses were performed. Unlike accuracy-based analyses, the model-based analyses allow one to quantify and separate the effects of categorization rule learning from variability in the trial-by-trial application of the participant's rule. When the categorization rule was linear, PD patients showed no accuracy, categorization rule learning, or rule application variability deficits. Categorization accuracy for the PD patients was associated with their performance on a test believed to be sensitive to frontal lobe functioning. In contrast, when the categorization rule was nonlinear, the PD patients showed accuracy, categorization rule learning, and rule application variability deficits. Furthermore, categorization accuracy was not associated with performance on the test of frontal lobe functioning. Implications for neuropsychological theories of categorization learning are discussed.

Aged↗

PubMedDate not supplied

Computational consequences of temporally asymmetric learning rules: I. Differential hebbian learning.

Temporally asymetric learning rules governing plastic changes in synaptic efficacy have recently been identified in physiological studies. In these rules, the exact timing of pre- and postsynaptic spikes is critical to the induced change of synaptic efficacy. The temporal learning rules treated in this article are approximately antisymmetric; the synaptic efficacy is enhanced if the postsynaptic spike follows the presynaptic spike by a few milliseconds, but the efficacy is depressed if the postsynaptic spike precedes the presynaptic spike. The learning dynamics of this rule are studied using a stochastic model neuron receiving a set of serially delayed inputs. The average change of synaptic efficacy due to the temporally antisymmetric learning rule is shown to yield differential Hebbian learning. These results are demonstrated with both mathematical analyses and computer simulations, and connections with theories of classical conditioning are discussed.

Animals↗

PubMed1994

Comparison-based learning: effects of comparing instances during category learning.

When learning about a category, people often compare new instances with similar old instances and notice features common to the compared instances. Five experiments demonstrate that such comparisons cause features common to compared instances to be considered more important for the category than equally frequent features that are not common to compared instances. Experiment 1 shows that what is learned depends on which instances are compared. Experiment 2 investigates the conditions under which comparison-based learning occurs. The next experiments find that these comparisons affect subjective feature frequency (Experiment 3) and sensitivity to feature correlations (Experiment 4). Experiment 5 shows that comparisons during early learning affect what is learned from later instances. The discussion focuses on the implications for models of category representation.

Color Perception↗

PubMed1996

Spatial attention and implicit sequence learning: evidence for independent learning of spatial and nonspatial sequences.

This research investigated whether regular spatial orienting sequences can be learned implicitly and independently of response requirements. In a new version of a serial response task introduced by M. J. Nissen and P. Bullemer (1987) participants had to discriminate between objects that could occur at different locations. Independent sequences determined the succession of locations and objects. Even participants who were not aware of any regularities exhibited evidence for learning of both sequences (Experiment 1). Experiment 2 showed that the joint learning of spatial and object sequences was as efficient as learning of single sequences and that it even occurred when learning required memory for past sequence elements and attention was blocked through a secondary tone-counting task. Results are consistent with the idea that independent systems may exist for the implicit acquisition of spatial and nonspatial regularities.

Adult↗

PubMed1995

Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.

Damage to the hippocampal system disrupts recent memory but leaves remote memory intact. The account presented here suggests that memories are first stored via synaptic changes in the hippocampal system, that these changes support reinstatement of recent memories in the neocortex, that neocortical synapses change a little on each reinstatement, and that remote memory is based on accumulated neocortical changes. Models that learn via changes to connections help explain this organization. These models discover the structure in ensembles of items if learning of each item is gradual and interleaved with learning about other items. This suggests that the neocortex learns slowly to discover the structure in ensembles of experiences. The hippocampal system permits rapid learning of new items without disrupting this structure, and reinstatement of new memories interleaves them with others to integrate them into structured neocortical memory systems.

Amnesia, Retrograde↗

PubMed2003

Learning myopia: an adaptive recency effect in category learning.

Recency effects (REs) have been well established in memory and probability learning paradigms but have received little attention in category earning research. Extant categorization models predict REs to be unaffected by learning, whereas a functional interpretation of REs, suggested by results in other domains, predicts that people are able to learn sequential dependencies and incorporate this information into their responses. These contrasting predictions were tested in 2 experiments involving a classification task in which outcome sequences were autocorrelated. Experiment 1 showed that reliance on recent outcomes adapts to the structure of the task, in contrast to models' predictions. Experiment 2 provided constraints on how sequential information is learned and suggested possible extensions to current models to account for this learning.

Attention↗

PubMed2003

How do people learn to allocate resources? Comparing two learning theories.

How do people learn to allocate resources? To answer this question, 2 major learning models are compared, each incorporating different learning principles. One is a global search model, which assumes that allocations are made probabilistically on the basis of expectations formed through the entire history of past decisions. The 2nd is a local adaptation model, which assumes that allocations are made by comparing the present decision with the most successful decision up to that point, ignoring all other past decisions. In 2 studies, participants repeatedly allocated a capital resource to 3 financial assets. Substantial learning effects occurred, although the optimal allocation was often not found. From the calibrated models of Study 1, a priori predictions were derived and tested in Study 2. This generalization test shows that the local adaptation model provides a better account of learning in resource allocations than the global search model.

Adult↗

PubMed2004

Category number impacts rule-based but not information-integration category learning: further evidence for dissociable category-learning systems.

Category number effects on rule-based and information-integration category learning were investigated. Category number affected accuracy and the distribution of best-fitting models in the rule-based task but had no effect on accuracy and little effect on the distribution of best-fining models in the information-integration task. In the 2 category conditions, rule-based learning was better than information-integration learning, whereas in the 4 category conditions, unidimensional and conjunctive rule-based learning was worse than information-integration learning. Rule-based strategies were used in the 2-category/rule-based condition, but about half of the observers used rule-based strategies in the 4-category unidimensional and conjunctive rule-based conditions. Information-integration strategies were used in the 4-category/ information-integration condition and by the end of training were used in the 2-category/information-integration condition.

Adult↗

PubMed2003

Differential effects of learning on neurogenesis: learning increases or decreases the number of newly born cells depending on their birth date.

The hippocampal formation, to which new neurons are added on a daily basis throughout life, is important in spatial learning. Surviving de novo produced cells integrate into the functional circuitry, where they can influence both normal and pathological behaviors. In this study, we examined the effect of the water-maze (a hippocampal-dependent spatial task) on neurogenesis. Learning in this task can be divided into two phases, an early phase during which performance improves rapidly, and a late phase during which asymptotic levels of performance are reached. Here we demonstrate that the late phase of learning has a multifaceted effect on neurogenesis depending on the birth date of new neurons. The number of newly born cells increased contingently with the late phase and a large proportion of these cells survived for at least 4 weeks and differentiated into neurons. In contrast, late-phase learning decreased the number of newly born cells produced during the early phase. This decline in neurogenesis was positively correlated with performance in the water-maze. Thus, rats with the highest de novo cell number were less able to acquire and use spatial information than those with low numbers of new cells. These results show that learning has a complex effect on hippocampal neurogenesis, and reveals a novel mechanism through which neurogenesis may influence normal and pathological behaviors.

Aging↗

PubMed1998

People with learning disabilities who also have mental health problems: practice issues and directions for learning disability nursing.

The plight of people with learning disabilities who have mental health problems has become an issue of contemporary importance in the provision of health services to this section of the population. This paper will argue that learning disability nursing has a central role to play in the promotion of mental health for this client group (Department of Health 1995a). However, learning disability nursing presently operates without a clear model of mental health. Therefore, before this potential can be realized there is a need to establish the common ground between the discourses of learning disability nursing and those of psychiatric nursing which might be related to this client group. This paper begins by identifying the background issues relating to the problems of meeting the mental health needs of people with learning disabilities. It then proposes that an applied behavioural approach has the potential to provide a coherent theory that can link the discourses of normalization, developmental psychiatry and mental health nursing, whilst also establishing the applied behavioural approach as a powerful technology upon which meaningful interventions can be designed.

Behavior Therapy↗