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PubMed1998

Ethanol concentrations approaching minimum alveolar anesthetic concentration are required to suppress learning in a fear-potentiated startle paradigm in rats.

UNLABELLED: We previously demonstrated that desflurane and two nonimmobilizers dose-dependently decrease learning and memory in rats. This suggests that although they do not suppress movement in response to noxious stimuli, nonimmobilizers act like inhaled anesthetics in their effects on learning and memory. Like most conventional anesthetics, nonimmobilizers have a greater affinity for lipid than for aqueous phases. In the present study, we examined the effect of ethanol on learning and memory to test the hypothesis that a large part of the capacity of anesthetics to affect learning depends on an action on a lipid (nonpolar) phase. Unlike volatile anesthetics and nonimmobilizers, ethanol has a greater affinity for water than for lipids. Thus, if our hypothesis is correct, ethanol should be relatively less potent in its suppression of memory. Rats receiving various doses of ethanol were conditioned to fear a light followed by a footshock. Fear conditioning to the light was subsequently assessed by measurement of potentiation of the acoustic startle reflex in the presence, compared with the absence, of light. Ethanol up to 0.54 minimum alveolar anesthetic concentration (MAC) did not abolish fear, but 0.82 MAC ethanol did abolish learning. Expressed as a fraction of MAC or predicted MAC, ethanol is less potent than desflurane or the nonimmobilizer 1,2-dichlorohexafluorocyclobutane in suppressing learning. This finding is consistent with the hypothesis that the capacity of anesthetics and nonimmobilizers to impair learning and memory depends mostly on an action at a nonpolar site. IMPLICATIONS: Abolition of learning and memory is an important property of inhaled anesthetics. This effect primarily results from an action at a lipid (nonpolar) site, rather than a polar site or a water-lipid interface.

Anesthetics, Inhalation↗
PubMed1992

The psychological basis of problem-based learning: a review of the evidence.

Several potential advantages for students' learning are claimed for problem-based learning (PBL). Students in PBL curricula may be more highly motivated; they may be better problem solvers and self-directed learners; they may be better able to learn and recall information; and they may be better able to integrate basic science knowledge into the solutions of clinical problems. Although some of these claims find theoretical support from the literature on the psychology of learning, to date there has been no review of the experimental evidence supporting the possible differences in students' learning that can be attributed to PBL. In this review article, the authors examine each claim critically in light of that evidence. They conclude that (1) there is no evidence that PBL curricula result in any improvement in general, content-free problem-solving skills; (2) learning in a PBL format may initially reduce levels of learning but may foster, over periods up to several years, increased retention of knowledge; (3) some preliminary evidence suggests that PBL curricula may enhance both transfer of concepts to new problems and integration of basic science concepts into clinical problems; (4) PBL enhances intrinsic interest in the subject matter; and (5) PBL appears to enhance self-directed learning skills, and this enhancement may be maintained.

Curriculum↗
PubMed1999

Learning objectives for medical student education--guidelines for medical schools: report I of the Medical School Objectives Project.

Many observers of medicine have expressed concerns that new doctors are not as well prepared as they should be to meet society's expectations of them. To assist medical schools in their efforts to respond to these concerns, in January 1996 the Association of American Medical Colleges (AAMC) established the Medical School Objectives Project (MSOP). The goal for the first phase of the project--which has been completed and is reported in this article--was to develop a consensus within the medical education community on the attributes that medical students should possess at the time of graduation, and to set forth learning objectives that can guide each medical school as it establishes objectives for its own program. Later reports will focus on the implementation phase of the MSOP. In this report, each of the four attributes agreed upon by a wide spectrum of medical educators is stated and explained, and then the learning objectives associated with the school's instilling of that attribute are stated. The first of the four attributes is that physicians must be altruistic. There are seven learning objectives, including the objective that before graduation, the student can demonstrate compassionate treatment of patients and respect for their privacy and dignity. The second attribute is that physicians must be knowledgeable; one of the six learning objectives is that the student can demonstrate knowledge of the normal structure and function of the body and of each of its major organ systems. The third attribute is that physicians must be skillful; one of the eleven learning objectives is that the student have knowledge about relieving pain and ameliorating the suffering of patients. The last attribute is that physicians must be dutiful; one of the six learning objectives is that the student have knowledge of the epidemiology of common maladies within a defined population, and the systematic approaches useful in reducing the incidence and prevalence of those maladies. The report ends by stating that (1) if a school's curriculum is shaped by the set of learning objectives presented in the report, the graduates will be well prepared to assume the limited patient care responsibilities expected of new residents and also will have begun to achieve the attributes needed to practice contemporary medicine; (2) schools should feel a sense of urgency in responding to the intent of the report; and (3) it is important to measure the outcomes of learning objectives, and better assessment methods should be developed, particularly ones to assess outcomes related to attitudes and values.

Delivery of Health Care↗
PubMed2004

Assessing the relationship of learning approaches to workplace climate in clerkship and residency.

PURPOSE: To determine what approaches to learning are adopted by clinical clerks and residents and whether these approaches are associated with demographic factors, specialty, level of training, and perceptions of the workplace climate. METHOD: In 2001-02, medical clerks (n = 532) and residents (n = 2,939) at five medical schools in Ontario, Canada, were mailed the Workplace Learning Questionnaire. The correlation between the approaches to learning at work and perceived workplace climate and the influence of gender, age, location, residency program and level of training on outcomes were measured. RESULTS: A total of 1,642 clerks and residents responded (47%). The factor structure and reliability of the Workplace Learning Questionnaire were confirmed for these respondents. A surface-disorganized approach to learning was correlated with perception of heavy workload (r = .401, p < .001). The deep approach to learning was correlated with perception of choice-independence in the workplace and a supportive-receptive workplace (r = .32, p < .001; r = .23, p < .001). The climate factors, perception of choice-independence and supportive-receptive workplace, were correlated (r = .60, p < .001). There were significant differences among the mean scores for scales based on residency, year of training, and location of training. CONCLUSIONS: Perception of the workplace climate was associated with the approach to learning in the workplace of clerks and residents. Perception of heavy workload was associated with less effective approaches to learning. These associations varied with the residency program and the level of training.

Adult↗
PubMed2001

Third year medical student attitudes toward learning urology.

PURPOSE: We studied certain research questions, including the learning environments in which third year medical students perceive that they acquire urological knowledge and skills, and whether medical students interested in urology as a career have different perceived learning needs than those interested in other specialties. MATERIALS AND METHODS: A survey instrument was pilot tested and revised. The instrument elicited student perceptions of how they best learned urological diagnosis and skills. Student attitudes toward the third year urology rotation and career motivation toward urology were assessed. Consecutive students were surveyed after completing the third year urology rotation. RESULTS: Most students perceived that they learned to manage most urological problems by seeing patients in outpatient clinics and they learned to perform physical examination and urinalysis interpretation by seeing patients. The overall usefulness of various learning environments was highest for seeing patients in clinic, followed by resident teaching, following inpatients, independent reading, watching open surgery, formal conferences, watching endoscopic surgery and routine menial work. Students interested in urology as a career choice were equally motivated by seeing patients in clinic, the subject matter and seeing surgery. CONCLUSIONS: Third year medical students perceive that the most important urological learning environment is outpatient evaluation of patients. The urological learning needs of third year medical students are not different in those interested and not interested in urology as a career.

Attitude↗
PubMed2005

The role of the striatum in implicit learning: a functional magnetic resonance imaging study.

Previous research has posited striatal involvement in implicit learning. However, imaging studies have not directly compared learners with non-learners. Using functional magnetic resonance imaging with 15 study participants, we used an implicit learning task previously associated with striatal recruitment. Dorsal and ventral striatum activation was observed in the eight participants who demonstrated implicit learning. Ventral striatum activations occurred to a greater extent in implicit learning versus non-implicit learning participants, and were correlated with the degree of reaction time advantage in implicit learning participants, even after controlling for general decreases in reaction time over time. These findings strengthen the specificity of the striatum in implicit learning and are suggestive of a dissociation of striatal regions relative to elements of implicit learning performance.

Adolescent↗
PubMed1990

Song learning: the interface between behaviour and neuroethology.

The high degree of developmental plasticity displayed by the songs of oscine birds makes them appropriate subjects for research on the etiology and neurobiology of vocal learning. Strong individual differences and learned local dialects are common. The readiness to acquire new songs appears to persist throughout life in some species and is restricted to relatively short sensitive periods in others. Learning can occur with remarkably few exposures to song. Mimicry of other species occurs but, given a choice, there is a tendency to favour conspecific songs. Evidence is presented for two kinds of vocal learning, one 'memory-based', the other 'action-based.' Subsong and 'plastic song' phases of motor development appear to be obligatory steps in the ontogeny of learned songs. A case is made that acquisition and production should be viewed as distinct phenomena with different physiological correlates. Research on behavioural development is closely associated with studies of the physiology of development. The two are mutually synergistic, and the synergism is well displayed in research on song learning in birds. This review of some of the characteristics of avian vocal learning as derived from behavioural studies, indicates lacunae in our knowledge about the ethology of song learning, and suggests how the comparative study of vocal development can pave the way for new insights into the underlying neurobiology.

Aging↗
PubMedDate not supplied

The differential role of premotor frontal cortex and basal ganglia in motor sequence learning: evidence from focal basal ganglia lesions.

There has been a growing interest in the differential role of various neural structures in implicit learning processes. The goal of our study was to clarify how focal lesions restricted to the basal ganglia interfere with different aspects of implicit visuo-motor sequence learning. A version of the Serial Reaction Time Task (SRTT) of Nissen and Bullemer using a 12-trial sequence was administered. A total of 20 subjects with focal basal ganglia lesions caused by ischemic or hemorrhagic infarction and 20 matched control subjects participated in this study. The results indicate that subjects with focal basal ganglia lesions showed unimpaired implicit learning of a 12-item motor sequence. Subjects with basal ganglia lesions, however, had more difficulties improving their general proficiency with the reaction-time task independent of sequence-specific learning. We observed a tendency toward smaller regional volumes in the cerebellum and left pre-supplementary motor area (pre-SMA) of subjects with basal ganglia lesions. Smaller cerebellar and pre-SMA volumes were related to lower implicit learning performance in the lesion group. The size of lesions in the basal ganglia was not related to sequence-specific implicit learning but had a significant influence on subjects' general proficiency for execution of the reaction-time task. We propose that implicit learning is achieved by a distributed network of cortical and subcortical structures. The basal ganglia seem to be responsible for adjusting to the general requirements of a task rather than for learning specific associations between stimuli that might be accomplished by premotor frontal areas and the cerebellum instead.

Adult↗
PubMedDate not supplied

Learning-induced arg 3.1/arc mRNA expression in the mouse brain.

The effector immediate-early gene (IEG) arg 3.1, also called arc, encodes a protein interacting with the neuronal cytoskeleton. The selective localization of arg 3.1/arc mRNA in activated dendritic segments suggests that the arg 3.1/arc protein may be synthesized at activated post-synaptic sites and that arg 3.1/arc could participate in structural and functional modifications underlying cognitive processes like memory formation. To analyze whether learning itself is sufficient to trigger expression of arg 3.1/arc, we developed a one-trial learning paradigm in which mice learned to enter a dark compartment to escape from an aversively illuminated area. Arg 3.1/arc mRNA expression was analyzed by in situ hybridization in three groups of mice as follows: a control group with no access to the dark compartment, a learning group having access to the dark compartment for one trial, and a retrieval group having access to the dark compartment for two trials on consecutive days. All animals from the learning and retrieval groups escaped the illuminated area, and those tested 24 h later (retrieval group) showed a strongly reduced latency to enter the dark compartment, demonstrating the validity of our learning paradigm to induce long-term memory. Our results show that acquisition of a simple task results in a brain area-specific biphasic increase in arg 3.1/arc mRNA expression 15 min and 4.5 h post-training. This increase was detected specifically in the learning group but neither in the control nor in the retrieval groups. The pattern of arg 3.1/arc mRNA expression corresponds temporally to the two mRNA- and protein-synthesis-dependent periods of long-term memory formation. Our study provides the first unequivocal evidence that arg 3.1/arc expression is induced by a learning task and strongly suggests a role of arg 3.1/arc mRNA in the early and late cellular mechanisms underlying the stabilization of the memory trace.

Animals↗
PubMed2004

Role of attention and perceptual grouping in visual statistical learning.

Statistical learning has been widely proposed as a mechanism by which observers learn to decompose complex sensory scenes. To determine how robust statistical learning is, we investigated the impact of attention and perceptual grouping on statistical learning of visual shapes. Observers were presented with stimuli containing two shapes that were either connected by a bar or unconnected. When observers were required to attend to both locations at which shapes were presented, the degree of statistical learning was unaffected by whether the shapes were connected or not. However, when observers were required to attend to just one of the shapes' locations, statistical learning was observed only when the shapes were connected. These results demonstrate that visual statistical learning is not just a passive process. It can be modulated by both attention and connectedness, and in natural scenes these factors may constrain the role of stimulus statistics in learning.

Attention↗
PubMed1984

Learning styles of nursing students and career choices.

Kolb's 'Learning Style Inventory' was used to examine learning characteristics of incoming nursing students (n = 166) which were then compared to those of more advanced nursing students (n = 102). A majority of students were found to have concrete learning styles. Advanced students had a greater incidence of concrete learning styles than first year students suggesting increasing concreteness with exposure to nursing education. Diploma students were found to have a higher incidence of concrete learning styles than university students. Students with concrete learning styles were more influenced by person-oriented factors in career choices than those with abstract learning styles. No relationship was found between learning style and preferred nursing specialty. Implications for nursing education are discussed.

Career Choice↗
PubMed1992

Independent learning among general practice trainees: an initial survey.

Self-directed learning is a natural way for adults to learn. Vocational training for general practice is a preparation for unsupervised clinical work that will be supported, in the main, by continuing medical education. This study uses the Self-Directed Learning Readiness Scale to investigate factors influencing readiness for such learning among a sample of general practice trainees. Three principal factors emerged from analysis: enjoyment and enthusiasm for learning; a positive self-concept as a learner and a factor suggesting the possibility of a 'reproducing' orientation to learning. These factors may reflect approaches to learning in general rather than these adopted for professional learning, but offer helpful pointers for the development of both vocational training and of continuing medical education.

Attitude of Health Personnel↗
PubMed1998

Computers in medical education 1: evaluation of a problem-orientated learning package.

BACKGROUND: A computer-based learning package has been developed, aimed at expanding students' knowledge base, as well as improving data-handling abilities and clinical problem-solving skills. The program was evaluated by monitoring its use by students, canvassing users' opinions and measuring its effectiveness as a learning tool compared to tutorials on the same material. METHODS: Evaluation was undertaken using three methods: initially, by a questionnaire on computers as a learning tool and the applicability of the content: second, through monitoring by the computer of student use, decisions and performance; finally, through pre- and post-test assessment of fifth-year students who either used a computer package or attended a tutorial on equivalent material. RESULTS: Most students provided positive comments on the learning material and expressed a willingness to see computer-aided learning (CAL) introduced into the curriculum. Over a 3-month period, 26 modules in the program were used on 1246 occasions. Objective measurement showed a significant gain in knowledge, data handling and problem-solving skills. CONCLUSIONS: Computer-aided learning is a valuable learning resource that deserves better attention in medical education. When used appropriately, the computer can be an effective learning resource, not only for the delivery of knowledge. but also to help students develop their problem-solving skills.

Clinical Competence↗
PubMed2005

Participation of octopaminergic reward system and dopaminergic punishment system in insect olfactory learning revealed by pharmacological study.

Biogenic amines play major roles in the regulation of behavior in vertebrates and invertebrates. Previous studies in honey bees and fruit-flies Drosophila suggested that octopamine (OA, invertebrate counterpart of noradrenaline) and dopamine (DA) participate in appetitive olfactory conditioning with sucrose reward and aversive olfactory conditioning with electric shock punishment, respectively. In order to determine whether the effects of the two chatecholamines on electric shock and sugar learning can be generalized to other kinds of appetitive and aversive reinforcers, we studied the effects of OA and DA receptor antagonists on appetitive olfactory learning with water reward, and aversive olfactory learning with saline punishment in the cricket Gryllus bimaculatus. Crickets injected with epinastine or mianserin, OA receptor antagonists, into the hemolymph exhibited an impairment of appetitive learning with water reward, while aversive learning with saline punishment remained intact. In contrast, fluphenazine, chlorpromazine or spiperone, DA receptor antagonists, impaired aversive learning without affecting appetitive learning. This finding, combined with findings in previous studies, suggests that the octopaminergic reward system and dopaminergic punishment system participate in insect olfactory learning with various appetitive and aversive reinforcements.

Animals↗
PubMed2004

A practical guide to developing effective web-based learning.

OBJECTIVE: Online learning has changed medical education, but many "educational" websites do not employ principles of effective learning. This article will assist readers in developing effective educational websites by integrating principles of active learning with the unique features of the Web. DESIGN: Narrative review. RESULTS: The key steps in developing an effective educational website are: Perform a needs analysis and specify goals and objectives; determine technical resources and needs; evaluate preexisting software and use it if it fully meets your needs; secure commitment from all participants and identify and address potential barriers to implementation; develop content in close coordination with website design (appropriately use multimedia, hyperlinks, and online communication) and follow a timeline; encourage active learning (self-assessment, reflection, self-directed learning, problem-based learning, learner interaction, and feedback); facilitate and plan to encourage use by the learner (make website accessible and user-friendly, provide time for learning, and motivate learners); evaluate learners and course; pilot the website before full implementation; and plan to monitor online communication and maintain the site by resolving technical problems, periodically verifying hyperlinks, and regularly updating content. CONCLUSION: Teaching on the Web involves more than putting together a colorful webpage. By consistently employing principles of effective learning, educators will unlock the full potential of Web-based medical education.

Computer-Assisted Instruction↗
PubMed2005

The influence of context on students' approaches to learning: a case study.

This paper gives an account of a small-scale longitudinal study that examined changes in conceptions and approaches to learning as 14 students experience a problem-based learning (PBL) curriculum for the first time. The course in oral biology aimed to encourage conceptual understanding of the topic and improve student learning through its PBL curriculum and assessment method. Those who entered the course with a surface approach and fragmented conception of learning left with a deep-learning approach, cohesive conception and quality learning outcomes. There were no observable changes in the students who started the course with a deep-learning approach and cohesive conception, except for two who reported surface approaches and fragmented conceptions at the end. These two students also achieved the lowest examination scores. To help explain these findings we examine the wider context for student learning including student motivation.

Attitude↗
PubMed2003

Amygdala subsystems and control of feeding behavior by learned cues.

A combination of behavioral studies and a neural systems analysis approach has proven fruitful in defining the role of the amygdala complex and associated circuits in fear conditioning. The evidence presented in this chapter suggests that this approach is also informative in the study of other adaptive functions that involve the amygdala. In this chapter we present a novel model to study learning in an appetitive context. Furthermore, we demonstrate that long-recognized connections between the amygdala and the hypothalamus play a crucial role in allowing learning to modulate feeding behavior. In the first part we describe a behavioral model for motivational learning. In this model a cue that acquires motivational properties through pairings with food delivery when an animal is hungry can override satiety and promote eating in sated rats. Next, we present evidence that a specific amygdala subsystem (basolateral area) is responsible for allowing such learned cues to control eating (override satiety and promote eating in sated rats). We also show that basolateral amygdala mediates these actions via connectivity with the lateral hypothalamus. Lastly, we present evidence that the amygdalohypothalamic system is specific for the control of eating by learned motivational cues, as it does not mediate another function that depends on intact basolateral amygdala, namely, the ability of a conditioned cue to support new learning based on its acquired value. Knowledge about neural systems through which food-associated cues specifically control feeding behavior provides a defined model for the study of learning. In addition, this model may be informative for understanding mechanisms of maladaptive aspects of learned control of eating that contribute to eating disorders and more moderate forms of overeating.

Amygdala↗
PubMed1988

Learning the hidden structure of speech.

In the work described here, the backpropagation neural network learning procedure is applied to the analysis and recognition of speech. This procedure takes a set of input/output pattern pairs and attempts to learn their functional relationship; it develops the necessary representational features during the course of learning. A series of computer simulation studies was carried out to assess the ability of these networks to accurately label sounds, to learn to recognize sounds without labels, and to learn feature representations of continuous speech. These studies demonstrated that the networks can learn to label presegmented test tokens with accuracies of up to 95%. Networks trained on segmented sounds using a strategy that requires no external labels were able to recognize and delineate sounds in continuous speech. These networks developed rich internal representations that included units which corresponded to such traditional distinctions as vowels and consonants, as well as units that were sensitive to novel and nonstandard features. Networks trained on a large corpus of unsegmented, continuous speech without labels also developed interesting feature representations, which may be useful in both segmentation and label learning. The results of these studies, while preliminary, demonstrate that backpropagation learning can be used with complex, natural data to identify a feature structure that can serve as the basis for both analysis and nontrivial pattern recognition.

Computer Simulation↗