Making adaptive choices between solution strategies is a central element of contemporary mathematics education. However, previous studies signal that students make suboptimal choices between mental and written strategies to solve division problems. In particular, some students of a lower math ability level appear inclined to use mental strategies that lead to lower performance. The current study uses a pretest-training-posttest design to investigate the extent to which these students’ choices for written strategies and performance may be increased. Sixth graders of (...) below-average mathematics level (N = 147) participated in one of two training conditions: an explicit-scaffolding training designed to promote writing down calculations or a practice-only training where strategy use was not explicitly targeted. Written strategy choices and performance increased considerably from pretest to posttest for students in both training conditions, but not in different amounts. Exploratory results suggest that students’ strategy choices may also be affected by their attitudes and beliefs and the sociocultural context regarding strategy use. (shrink)

Training on working memory (WM) improves attention and working memory in children with attention-deficit hyperactivity disorder and memory impairments. However, for children with intellectual disabilities (ID), the results have been less encouraging. In this preliminary study it was hypothesized that children with ID would benefit from an extended amount of training and that the level of difficulty during training would affect the outcome. We included 21 children with mild or moderate intellectual disabilities aged 8–13 years. They (...) went through between 37 and 50 training sessions with an adaptive computerized program on WM and non-verbal reasoning (NVR). The children were divided into two subgroups with different difficulty levels during training. The transfer to untrained cognitive tests was compared to the results of 22 children with intellectual disabilities training only 25 sessions, and to a control group. We found that the training group with the extended training program improved significantly on a block design task measuring NVR and on a WM task compared to the control group. There was also a significantly larger improvement on block design relative to the training group with the shorter training time. The children that received easier training tasks also improved significantly more on a verbal WM task compared to children with more demanding tasks. In conclusion, these preliminary data suggest that children with ID might benefit from cognitive training with longer training periods and less demanding tasks, compared to children without disabilities. (shrink)

Howe, Davidson & Sloboda's focus on learning has important implications because the amount and quality of training are relevant to all learners, not just those acquiring exceptional abilities. In this commentary, I discuss learning goals as an indicator of learning quality, and suggest that all learners can be guided towards more effective learning by shifting their learning goals.

Decision-making has a high practical relevance for daily performance. Its relation to other cognitive abilities such as executive control and memory is not fully understood. Here we asked whether training of either attentional filtering or memory storage would influence decision-making as indexed by repetitive assessments of the Iowa Gambling Task (IGT). The IGT was developed to assess and simulate real-life decision-making (Bechara et al., 2005). In this task, participants gain or lose money by developing advantageous or disadvantageous decision strategies. (...) On five consecutive days we trained 29 healthy young adults (20-30 years) either in working memory storage or attentional filtering and measured their IGT scores after each training session. During memory training (MT) subjects performed a computerized delayed match-to-sample task where two displays of bars were presented in succession. During filter training (FT) participants had to indicate whether two simultaneously presented displays of bars matched or not. Whereas in MT the relevant target stimuli stood alone, in FT the targets were embedded within irrelevant distractors (bars in a different color). All subjects within each group improved their performance in the trained cognitive task. For the IGT, we observed an increase over time in the amount of money gained in the FT group only. Decision-making seems to be influenced more by training to filter out irrelevant distractors than by training to store items in working memory. Selective attention could be responsible for the previously noted relationship between IGT performance and working memory and is therefore more important for enhancing efficiency in decision-making. (shrink)

As the labeling costs in legal artificial intelligence tasks are expensive. Therefore, it becomes a challenge to utilize low cost to train a robust model. In this paper, we propose a LAIAugment approach, which aims to enhance the few-shot learning capability in legal artificial intelligence tasks. Specifically, we first use the self-training approach to label the amount of unlabelled data to enhance the feature learning capability of the model. Moreover, we also search for datasets that are similar to (...) the training set by improving the text similarity function. We conducted experimental analyses for three legal artificial intelligence tasks, including evidence extraction, legal element extraction, and case multi-label prediction, which composed of 3500 judgement documents. The experimental results show that the proposed LAIAugment method has an average F1-score of 72.3% on the three legal AI tasks, which is 1.93% higher than the baseline model. At the same time, it shows a huge improvement in few-shot learning. (shrink)

The transhumanist train has pulled out of the station and is now racing toward its destination: technoutopia. Via GNR--Genetics, Nanotechnology, and Robotics--the H+ engineer is guiding us toward posthumanity where our descendents will enjoy superintelligence in digital, disembodied, and immortal form. How far will the Christian want to ride this train? I recommend that the Christian board the H+ train and ride the rails of technological progress as far as improved medical therapies, increased longevity, advanced robotics, and other enhancements in (...) human well-being and flourishing. But, I further recommend disembarking before the unrealistic and even undesirable posthuman utopia which would amount to the end of the line for humanity. (shrink)

The aim of this work is to analyse the effect of gender and ethical training received on the sensitivity of university teachers towards the inclusion of ethics in graduate business studies. To this end, a study has been carried out that uses four ethical sensitivity indicators for teachers: their opinion about the need to include ethics in the world of business, their opinion about the need to include ethics in University education involving business studies, the current integration of ethics (...) by teachers in the subjects they teach, and whether they intend to increase the time set aside for ethics in those subjects in the future. Results suggest that the ethical training received by teachers has a significant influence on their sensitivity towards the inclusion of ethics in graduate studies and the introduction of ethical aspects in their classes. Conversely, the results do not enable us to draw the conclusion that gender is a significant variable in terms of sensitivity towards the inclusion of ethics in the university education of business students. This work is of special relevance because it adds to the extremely limited amount of literature available on variables that may explain the attitude of teachers towards the integration of ethics in higher education, by supporting the thesis defended by many authors of the positive effect of ethical training on an improvement in sensitivity and ethical judgement. (shrink)

Population biobanks are an increasingly important infrastructure to support research and will be a much-needed resource in the delivery of personalised medicine. Artificial intelligence (AI) systems can process and cross-link very large amounts of data quickly and be used not only for improving research power but also for helping with complex diagnosis and prediction of diseases based on health profiles. AI, therefore, potentially has a critical role to play in personalised medicine, and biobanks can provide a lot of the necessary (...) baseline data related to healthy populations that will enable the development of AI tools. To develop these tools, access to personal data, and in particular, sensitive data, is required. Such data could be accessed from biobanks. Biobanks are a valuable resource for research but accessing and using the data contained within such biobanks raise a host of legal, ethical, and social issues (ELSI). This includes the appropriate consent to manage the collection, storage, use, and sharing of samples and data, and appropriate governance models that provide oversight of secondary use of samples and data. Biobanks have developed new consent models and governance tools to enable access that address some of these ELSI-related issues. In this paper, we consider whether such governance frameworks can enable access to biobank data to develop AI. As Italy has one of the most restrictive regulatory frameworks on the use of genetic data in Europe, we examine the regulatory framework in Italy. We also look at the proposed changes under the European Health Data Space (EHDS). We conclude by arguing that currently, regulatory frameworks are misaligned and unless addressed, accessing data within Italian biobanks to train AI will be severely limited. (shrink)

The efficacy of traditional training programs (e.g., neurodevelopmental therapy) in promoting independent mobility and early child development across all three International Classification of Functioning, Disability, and Health levels lacks rigorous research support. Therefore, early power mobility training needs to be considered as a feasible intervention for very young children who are unlikely to achieve independent mobility. This perspective article has three aims: (1) to provide empirical evidence of differences in early independent mobility, motivation, daily life activities, and social (...) participation between young children with typical development and motor disabilities; (2) to discuss the contemporary concepts of and approaches to early power mobility training for young children with motor disabilities and the current need for changes to such training; and (3) to provide recommendations for early power mobility training in pediatric rehabilitation. Independent mobility is critical for social participation; therefore, power mobility can be accessible and implemented as early as possible, specifically for infants who are at risk for mobility or developmental delay. To maximize the positive effects of independent mobility on children’s social participation, early power mobility training must consider their levels of functioning, the amount of exploration and contextual factors, including individual and environmental factors. (shrink)

The human ability to flexibly discover alternatives without fixating on a known solution supports a variety of human creative activities. Previous research has shown that people who discover an alternative procedure relax their attentional bias to information regarding the known solutions just prior to the discovery. This study examined whether the difference in the distribution of attention between the finders and non-finders of the alternative procedure is observed from the phase of solving the problem using the trained procedure. We evaluated (...) the characteristics of the finders' distribution of attention in situations where problem solving using a trained procedure was successful. This aspect has been little examined in previous research. Our study obtained empirical evidence for the fact that, compared to non-finders, finders pay more attention to information unrelated to the trained procedure acquired through knowledge and experience, even time when using a trained procedure. We also confirmed that this difference does not exist from the beginning of the task, but emerges during repeated use of familiar procedures. These findings indicate that in order to find an alternative procedure, one should not only divert attention from a familiar procedure just before the discovery but also pay a certain amount of attention to information unrelated to the familiar procedure even when the familiar procedure is functioning well. (shrink)

It is well-documented that mathematics achievement is an important predictor of many positive life outcomes like college graduation, career opportunities, salary, and even citizenship. As such, it is important for researchers and educators to help students succeed in mathematics. Although there are undoubtedly many factors that contribute to students' success in mathematics, much of the research and intervention development has focused on variations in instructional techniques. Indeed, even a cursory glance at many educational journals and granting agencies reveals that there (...) is a large amount of time, energy, and resources being spent on determining the best way to convey information through direct, declarative instruction. The proposed project is motivated by recent calls to expand the focus of research in mathematics education beyond direct, declarative instruction. The overarching goal of the presented experiment is to evaluate the efficacy of a novel mathematics intervention designed using principles taken from the literature on non-declarative learning. The intervention combines errorless learning and structured cue fading to help second grade students improve their understanding of symbolic magnitude. Results indicate that students who learned about symbolic magnitude using the novel intervention did better than students who were provided with extensive declarative support. These findings offer preliminary evidence in favor of using learning combination of errorless learning and cue fading techniques in the mathematics classroom. (shrink)

Professions have a social obligation to ensure that their members’ professional behavior is morally appropriate. The psychology profession in most jurisdictions delegates the responsibility of ensuring that psychologists entering the profession are ethically competent to pre-practicum training programs. Educators responsible for teaching the ethics courses in these programs often base them on Rest’s (1984, 1994) theory that does not take into account a vast amount of contemporary psychological and neuroscientific research data on moral decision making. My aim with (...) this article is therefore to summarize the psychological and neuroscience research findings relevant to moral decision making and consider how educators who teach ethics courses can apply them in developing ethics courses grounded in research. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Journal of Aesthetic Education 38.1 (2004) 23-34 [Access article in PDF] Mind Ahead of the Tone:Integration of Technique and Imagination in Vocal Training at Tanglewood Summer Institute Svetlana Nikitina The use of the body and the mind at the same time is one of the most fascinating things and magic things about music. 1The purpose, indeed the sole purpose, of training for the profession of singing (...) is to improve the connection between the imagination and the sounds that eventually issue from the singer's mouth. 2The utmost goal of art is achieving unity between form and content, the subjective idea and the medium, technique and imagination. Success and livelihood of dancers, actors, and musicians depends on their ability to translate mental ideas into bodily actions and, at its height, merge technical bodily and mental wisdom so seamlessly that we would forget the path that led to it.What is this path? How do individual singers mesh, melt, and marry the technical rigor coming from years of musical training and their ability to imagine and express themselves with those tools? How is the unity betweentechnique and imagination achieved and experienced? And, what is the pedagogy that could support the connection? These are the core questions that guided the study.The goal here is not to propose a conclusive theory of connection, biological or psychological. My hope is to open the curtain for discussion of what is generally considered an "undiscussable" topic in art and music education books because it deals with what is thought of as implicit knowledge that no one could or should teach. Through my observation of Phyllis Curtin's classroom and conversations with her students, some general thoughts and principles of building unity between the technical and artistic selves of a singer emerged. I would like to share those insights and strategies.While this essay does not offer simplistic how-to strategies of fostering creative synergy, it also does not suggest that the connection just happens, [End Page 23] regardless of whether we think or teach about it. What it aspires to do is create a space for thinking about the complexity of integrative experienceand ways in which bridge-building could be facilitated. As such, it could offer insights to both beginning vocalists and voice teachers, as well as be of interest to a broader range of educators and public concerned with core issues on the integrative nature of arts education. Method To serve the goal of presenting complex experiences of creative artists, Ichose to combine analytical and descriptive elements in my research method. Building an analytical argument about the ways integration between imagination and technique could be achieved and supported, I tried to stay close to student stories of connection and disconnection, employing a qualitative rather than a quantitative method of inquiry. This takes the form of large amounts of direct interview data and personal vignettes, from which I traced general patterns of meaning. Research Context A very brief and in no way exhaustive survey of literature on voice education points to a large volume of text spent on training vocal technique. Breath control, charts depicting the larynx and the thyro-arytenoid muscle at work far outnumber chapters on interpretation or "The Work of Imagination" in musical education literature. 3There are precious few books, however, that do not keep the technical and the mental concerns separate, and give the work of imagination an explicit and central role in training of performing artists. Two of those books, Thomas Hemsley's Singing and Imagination and Michael Chekhov's On the Technique of Acting, have not fallen in my lap by chance. 4 Curtin referred to them several times in her classes as books of "singular" resonance to her own singing and teaching.Chekhov's book conceptualizes the basic processes that are involved in the actor's work on character development. These processes include extensive work on the text and its interpretation (understanding, living the text, and essentializing it in performance), in parallel with developing the body... (shrink)

We predicted that short-term training of executive control would improve both cognitive control itself and general fluid intelligence. We randomly assigned 120 high school students to the experimental and control groups. The former underwent a 14-day training of four executive functions: interference resolution, response inhibition, task switching, and goal monitoring. The latter did not train anything. The training significantly improved cognitive control and IQ. The control group also improved their IQ scores but gained less than the experimental (...) one. However, the amount of IQ scores enhancement did not correlate with the majority of indices of the training effectiveness, thus justifying the supposition that such enhancement resulted from the general effect of participation in the training rather than from the improvement of executive functions underlying Gf. (shrink)

This exploratory study applied Risley & Hart's correspondence training paradigm to reducing the troublesome behaviour of three 12 to 14 year‐old boys in an inner city high school in the West Midlands. Correspondence training involves negotiating individual reductions in levels of two classes of troublesome behaviour, talking out of turn and hindering other children . The boys were also assisted to collect data on their own behaviour in specific lessons. The school's existing system of rewards was utilised to (...) reinforce the boys for reducing their levels of troublesome behaviour to match each target level negotiated. Results indicate that all three boys successfully reduced their levels of troublesome behaviour and that all three completed an increased amount of homework when correspondence training was introduced. Anecdotal evidence from teachers corroborated the behaviour changes apparent in the boys’ self‐report data. Correspondence training is seen as a viable and worthwhile procedure for improving social behaviour in secondary pupils. (shrink)

Decision-making is an advanced cognitive function that promotes information processes in complex motor situations. In recent years, many neuroimaging studies have assessed the effects of long-term motor training on athletes’ brain activity while performing decision-making tasks, but the findings have been inconsistent and a large amount of data has not been quantitatively summarized until now. Therefore, this study aimed to identify the neural mechanism of long-term motor training affecting the decision-making function of athletes by using activation likelihood (...) estimation meta-analysis. Altogether, 10 studies were included and comprised a total of 350 people. The ALE meta-analysis showed that more brain regions were activated for novices including the bilateral occipital lobe, left posterior cerebellar lobe, and left middle temporal gyrus in decision-making tasks compared to motor experts. Our results possibly suggested the association between long-term motor training and neural efficiency in athletes, which provided a reference for further understanding the neural mechanisms of motor decision-making. (shrink)

Cilia are microtubule‐based hair‐like structures that project from the surfaces of eukaryotic cells. Cilium formation relies on intraflagellar transport (IFT) to move ciliary proteins such as tubulin from the site of synthesis in the cell body to the site of function in the cilium. A large protein complex (the IFT complex) is believed to mediate interactions between cargoes and the molecular motors that walk along axonemal microtubules between the ciliary base and tip. A recent study using purified IFT complexes has (...) identified a tubulin‐binding module in the two core IFT proteins IFT74 and IFT81 that likely serves to bind and transport tubulin within cilia. Here, we calculate the amount of tubulin required to support the observed cilium assembly kinetics and explore the possibility of multiple tubulin binding sites within the IFT complex. (shrink)

Mindfulness is intentional focus of one’s attention on emotions, thoughts, or sensations occurring in the present moment with a nonjudgmental attitude. Recently there has been increased interest in the effects of mindfulness practice on psychological processes such as concentration, focus, and attention. In the present study, a prepulse inhibition/facilitation paradigm was employed to investigate the effect of brief mindfulness practice on automatic attention regulation processes. PPI occurs when a relatively weak prepulse is presented 30–500 ms before a startle-inducing stimulus, and (...) reduces the magnitude of the startle response. Prepulse facilitation is the increase in startle magnitude when the prepulse is presented 500 ms or more before the startle-eliciting stimulus. In the present study, the effect of engaging in a 23-min mindfulness exercise on PPI and PPF was investigated. Participants listened to either a mindfulness instruction or relaxing music. In a PPI/PPF pretest and posttest, a startle-eliciting noise was presented at lead intervals of 60, 120, and 2,000 ms. Results showed that engaging in brief mindfulness practice increased prepulse facilitation at the 2,000 ms lead interval in the posttest compared to the pretest. The amount of PPI did not differ between tests. (shrink)

Across languages, lexical items specific to infant‐directed speech (i.e., ‘baby‐talk words’) are characterized by a preponderance of onomatopoeia (or highly iconic words), diminutives, and reduplication. These lexical characteristics may help infants discover the referential nature of words, identify word referents, and segment fluent speech into words. If so, the amount of lexical input containing these properties should predict infants’ rate of vocabulary growth. To test this prediction, we tracked the vocabulary size in 47 English‐learning infants from 9 to 21 (...) months and examined whether the patterns of growth can be related to measures of iconicity, diminutives, and reduplication in the lexical input at 9 months. Our analyses showed that both diminutives and reduplication in the input were associated with vocabulary growth, although measures of iconicity were not. These results are consistent with the hypothesis that phonological properties typical of lexical input in infant‐directed speech play a role in early vocabulary growth. (shrink)

The BP neural network model is a hot issue in recent academic research, and it has been successfully applied to many other fields, but few researchers apply the BP neural network model to the field of automobile insurance. The main method that has been used in the prediction of the total claim amount in automobile insurance is the generalized linear model, where the BP neural network model could provide a different approach to estimate the total claim loss. This paper (...) uses a genetic algorithm to optimize the structure of the BP neural network at first, and the calculation speed is significantly improved. At the same time, by considering the overfitting problem, an early stop method is introduced to avoid the overfitting problem. In the model, a three-layer BP neural network model, which includes the input layer, hidden layer, and output layer, is trained. With consideration of various factors, a total claim amount prediction model is established, and the trained BP neural network model is used to predict the total claim amount of automobile insurance based on the data of the training set. The results show that the accuracy of the prediction by using the BP neural network model to both the data of Shandong Province and to the data of six cities is over 95%. Then, the predicted total claim amount is used to calculate premiums for five cities in Shandong Province according to credibility theory. The results show that the average premium of the five cities is slightly higher than the actual claim amount of the city. The combination of BP neural network and credibility theory can perform accurate claim amount estimation and pricing for automobile insurance, which can effectively improve the current situation of the automobile insurance business and promote the development of insurance industry. (shrink)

Studies on associations between music training and cognitive abilities typically focus on the possible benefits of music lessons. Recent research suggests, however, that many of these associations stem from niche-picking tendencies, which lead certain individuals to be more likely than others to take music lessons, especially for long durations. Because the initial decision to take music lessons is made primarily by a child's parents, at least at younger ages, we asked whether individual differences in parents' personality predict young children's (...) duration of training. Children between 7 and 9 years of age ( N = 170) with varying amounts of music training completed a measure of IQ. Their parents provided demographic information as well as ratings of their own and their child's Big Five personality dimensions. Children's personality traits predicted duration of music training even when demographic variables and intelligence were held constant, replicating findings reported previously with 10- to 12-year-olds and 17-year-olds. A novel finding was that parents' openness-to-experience predicted children's duration of training, even when characteristics that pertained to children (demographic variables, intelligence, and personality) were controlled statistically. Our findings are indicative of passive and active gene-environment correlations, whereby genetic predispositions influence the likelihood that a child will have certain experiences, such as music training. (shrink)

Learning general concepts in imperfect environments is difficult since training instances often include noisy data, inconclusive data, incomplete data, unknown attributes, unknown attribute values and other barriers to effective learning. It is well known that people can learn effectively in imperfect environments, and can manage to process very large amounts of data. Imitating human learning behavior therefore provides a useful model for machine learning in real-world applications. This paper proposes a new, more effective way to represent imperfect training (...) instances and rules, and based on the new representation, a Human-Like Learning (HULL) algorithm for incrementally learning concepts well in imperfect training environments. Several examples are given to make the algorithm clearer. Finally, experimental results are presented that show the proposed learning algorithm works well in imperfect learning environments. (shrink)

The amount of information that is produced on a daily basis in the financial markets is vast and complex; consequently, the development of systems that simplify decision-making is an essential endeavor. In this article, several intelligent systems are proposed and tested to predict the closing price of the IBEX 35 index using more than ten years of historical data and five distinct architectures for neural networks. A multi-layer perceptron was the first step, followed by a simple recurrent neural network, (...) a gated recurrent unit network and two long-short-term memory (LSTM) networks. The results of the analyses performed on these models have demonstrated a powerful capacity for prediction. Additionally, the findings of this research point to the fact that the application of intelligent systems can simplify the decision-making process in financial markets, which is a substantial advantage. Furthermore, by comparing the predicted outcome errors between the models, the LSTM presents the lowest error with a higher computational time in the training phase. The LSTM was able to accurately forecast the closing price of the day as well as the price for the following one and two days in advance. In conclusion, the empirical results demonstrated that these models could accurately predict financial data for trading purposes and that the application of intelligent systems, such as the LSTM network, represents a promising advancement in financial technology. (shrink)

The race among global firms to launch its respective products and services into the market sooner than the competitors puts pressure to equip its employees with job-related skills at the pace of business. Today’s global and dynamic business requires employees to develop highly complex cognitive skills such as decision-making, problem-solving, troubleshooting to perform their jobs proficiently. Traditional training models used by some organizations lead to a very slow speed at which employees gain an acceptable level of proficiency in the (...) targeted job skills. Also, these models have long and regimented instructional development cycle. Thus, traditional models are inherently counter-productive to the business and do not enable employees and organizations for today’s business needs. Therefore, business organizations need to explore new training models and strategies that could reduce the time an employee takes to reach target proficiency in complex skills without compromising the effectiveness or outcome. A comprehensive review of the literature shows a very limited amount of academic or practitioner research on this topic. This doctorate research study aims to find various training strategies that have proven successful in organizations for accelerating proficiency of employees in complex job skills. The researcher collected data primarily through 74 in-depth interviews with 86 training experts with known work experience of reducing time-to-proficiency in various settings. A total of 105 project cases have been collected across 42 industries to date. A grounded theory approach with constant comparison method is used to guide the theoretical saturation, analyze the data and to develop a theoretical model of training strategies. This unique study revealed a range of training strategies from non-training solutions to classroom instructions to workplace training to accelerate proficiency of employees in acquiring complex skills. This paper will specifically report the preliminary findings and conceptual model of major classroom-based instructional strategies only that has been found to hold the potential to shorten time-to-proficiency of employees at the workplace. This paper will also discuss the implications of the findings for the practitioners. Results in this study confirmed that classroom-based instructional strategies need to be designed and delivered the way the work is being performed in reality by the learners. Research findings suggest a pattern of five classroom-based instructional strategies that are more successful in reducing time-to-proficiency - 1) Contextualized learning 2) Performance analysis of star performer 3) Active processing and emotional involvement 4) Access to self-guided learning resources 5) Social interconnectivity and informal learning. (shrink)

The amount of criticism heaped upon persuadent has obscured consideration of the meaning of picta; for it is this word which carries the weight of the line. Tracing the sequence of thought in the passage will show where the emphasis lies. There is throughout a comparison, either expressed , or implied , between the artless manifestations of nature and their cultivated, trained, or man-made counterparts; ‘wild flowers are more beautiful to behold than cultivated ones; similarly ivy and arbutus which (...) grow as they will are more attractive than those in gardens; natural rills more charming than artificial fountains, … birds which sing from the heart delight us more than those which have been taught.’. (shrink)

A significant amount of discussion in the bioethics community has been devoted to the question of whether individuals performing ethics consultations in healthcare institutions have any special expertise. In addition, articles in the lay press have questioned the “added value” that bioethicists bring to ethical dilemmas. Those at the forefront of the bioethics community have argued repeatedly that those doing ethics consults cannot simply be well-intentioned individuals, that some training in bioethics, group process, and facilitation is necessary to (...) competently execute a consult. As one bioethicist commented:if you approach any endeavor as an amateur activity, you will get, in the end, an amateurish version of the activity. Without a sufficient commitment of personnel, time, support, and financial resources, a healthcare organization will get the ‘ethics’ program … it set out to create: an inept, unskilled, inefficient, and highly risky ‘program’ in healthcare ethics and bioethics. (shrink)

Research ethics training during post-graduate education is necessary to improve ethical standards in the design and conduct of biomedical research. We studied quality and quantity of research ethics training in the curricula of post-graduate programs in the medical science in I.R. Iran. We evaluated curricula of 125 post-graduate programs in medical sciences in I.R. Iran. We qualitatively studied the curricula by education level, including the Master and PhD degrees and analyzed the contents and the amount of teaching (...) allocated for ethics training in each curriculum. We found no research ethics training in 72 of the programs. Among the 53 programs that considered research ethics training, only 17 programs had specific courses for research ethics and eight of them had detailed topics on their courses. The research ethics training was optional in 25% and mandatory in 76% of the programs. Post-graduate studies that were approved in the more recent years had more attention to the research ethics training. Research ethics training was neglected in most of the medical post-graduate programs. We suggest including sufficient amount of mandatory research ethics training in Master and PhD programs in I.R. Iran. Further research about quality of research ethics training and implementation of curricula in the biomedical institutions is warranted. (shrink)

Over the last decade, AI models of language and word meaning have been dominated by what we might call a statistics-of-occurrence, strategy: these models are deep neural net structures that have been trained on a large amount of unlabeled text with the aim of producing a model that exploits statistical information about word and phrase co-occurrence in order to generate behavior that is similar to what a human might produce, or representations that can be probed to exhibit behavior similar (...) to what a human might produce (meaningsemblant behavior). Examples of what we can call Statistics-of-Occurrence Models (SOMs) include: Word2Vec (CBOW and Skip-Gram), BERT, GPT-3, and, most recently, ChatGPT. Increasingly, there have been suggestions that such systems have semantic understanding, or at least a proto-version of it. This paper argues against such claims. I argue that a necessary condition for a system to possess semantic understanding is that it function in ways that are causally explainable by appeal to its semantic properties. I then argue that SOMs do not plausibly satisfy this Functioning Criterion. Rather, the best explanation of their meaning-semblant behavior is what I call the Statistical Hypothesis: SOMs do not themselves function to represent or produce meaningful text; they just reflect the semantic information that exists in the aggregate given strong correlations between word placement and meaningful use. I consider and rebut three main responses to the claim that SOMs fail to meet the Functioning Criterion. The result, I hope, is increased clarity about why and how one should make claims about AI systems having semantic understanding. (shrink)

Abstract Since their inception, distributional models of semantics have been criticized as inadequate cognitive theories of human semantic learning and representation. A principal challenge is that the representations derived by distributional models are purely symbolic and are not grounded in perception and action; this challenge has led many to favor feature-based models of semantic representation. We argue that the amount of perceptual and other semantic information that can be learned from purely distributional statistics has been underappreciated. We compare the (...) representations of three feature-based and nine distributional models using a semantic clustering task. Several distributional models demonstrated semantic clustering comparable with clustering-based on feature-based representations. Furthermore, when trained on child-directed speech, the same distributional models perform as well as sensorimotor-based feature representations of children’s lexical semantic knowledge. These results suggest that, to a large extent, information relevant for extracting semantic categories is redundantly coded in perceptual and linguistic experience. Detailed analyses of the semantic clusters of the feature-based and distributional models also reveal that the models make use of complementary cues to semantic organization from the two data streams. Rather than conceptualizing feature-based and distributional models as competing theories, we argue that future focus should be on understanding the cognitive mechanisms humans use to integrate the two sources. (shrink)

Naturally occurring speech contains only a limited amount of complex recursive structure, and this is reflected in the empirically documented difficulties that people experience when processing such structures. We present a connectionist model of human performance in processing recursive language structures. The model is trained on simple artificial languages. We find that the qualitative performance profile of the model matches human behavior, both on the relative difficulty of center‐embedding and cross‐dependency, and between the processing of these complex recursive structures (...) and right‐branching recursive constructions. We analyze how these differences in performance are reflected in the internal representations of the model by performing discriminant analyses on these representations both before and after training. Furthermore, we show how a network trained to process recursive structures can also generate such structures in a probabilistic fashion. This work suggests a novel explanation of people's limited recursive performance, without assuming the existence of a mentally represented competence grammar allowing unbounded recursion. (shrink)

To what degree can language be acquired from linguistic input alone? This question has vexed scholars for millennia and is still a major focus of debate in the cognitive science of language. The complexity of human language has hampered progress because studies of language–especially those involving computational modeling–have only been able to deal with small fragments of our linguistic skills. We suggest that the most recent generation of Large Language Models (LLMs) might finally provide the computational tools to determine empirically (...) how much of the human language ability can be acquired from linguistic experience. LLMs are sophisticated deep learning architectures trained on vast amounts of natural language data, enabling them to perform an impressive range of linguistic tasks. We argue that, despite their clear semantic and pragmatic limitations, LLMs have already demonstrated that human-like grammatical language can be acquired without the need for a built-in grammar. Thus, while there is still much to learn about how humans acquire and use language, LLMs provide full-fledged computational models for cognitive scientists to empirically evaluate just how far statistical learning might take us in explaining the full complexity of human language. (shrink)

This paper uses the Process Dissociation Procedure to explore whether people can acquire unconscious knowledge in the serial reaction time task [Destrebecqz, A., & Cleeremans, A. . Can sequence learning be implicit? New evidence with the Process Dissociation Procedure. Psychonomic Bulletin & Review, 8, 343–350; Wilkinson, L., & Shanks, D. R. . Intentional control and implicit sequence learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30, 354–369]. Experiment 1 showed that people generated legal sequences above baseline levels under exclusion (...) instructions. Reward moved exclusion performance towards baseline, indicating that the extent of motivation in the test phase influenced the expression of unconscious knowledge. Experiments 2 and 3 revealed that even with reward, adding noise to the sequences or shortening training led to above-baseline exclusion performance, suggesting that task difficulty and the amount of training also affected the expression of unconscious knowledge. The results help resolve some current debates about the role of conscious awareness in sequence learning. (shrink)

In this paper I explore white attempts to move toward a proactive position against racism that will amount to more than self-criticism in the following three ways: by assessing the debate within feminism over white women's relation to whiteness; by exploring "white awareness training" methods developed by Judith Katz and the "race traitor" politics developed by Ignatiev and Garvey, and; a case study of white revisionism being currently attempted at the University of Mississippi.

Some regularities enjoy only an attenuated existence in a body of training data. These are regularities whose statistical visibility depends on some systematic recoding of the data. The space of possible recodings is, however, infinitely large – it is the space of applicable Turing machines. As a result, mappings that pivot on such attenuated regularities cannot, in general, be found by brute-force search. The class of problems that present such mappings we call the class of “type-2 problems.” Type-1 problems, (...) by contrast, present tractable problems of search insofar as the relevant regularities can be found by sampling the input data as originally coded. Type-2 problems, we suggest, present neither rare nor pathological cases. They are rife in biologically realistic settings and in domains ranging from simple animat behaviors to language acquisition. Not only are such problems rife – they are standardly solved! This presents a puzzle. How, given the statistical intractability of these type-2 cases, does nature turn the trick? One answer, which we do not pursue, is to suppose that evolution gifts us with exactly the right set of recoding biases so as to reduce specific type-2 problems to type-1 mappings. Such a heavy-duty nativism is no doubt sometimes plausible. But we believe there are other, more general mechanisms also at work. Such mechanisms provide general strategies for managing problems of type-2 complexity. Several such mechanisms are investigated. At the heart of each is a fundamental ploy – namely, the maximal exploitation of states of representation already achieved by prior, simpler learning so as to reduce the amount of subsequent computational search. Such exploitation both characterizes and helps make unitary sense of a diverse range of mechanisms. These include simple incremental learning, modular connectionism, and the developmental hypothesis of “representational redescription”. In addition, the most distinctive features of human cognition – language and culture – may themselves be viewed as adaptations enabling this representation/computation trade-off to be pursued on an even grander scale. (shrink)