Byrne & Russon's notion of program-level imitation is based on the ability of apes to plan novel sequences of behavior and on how information gleaned by observation can aid the planning process. Byrne & Russon would have made a stronger case by focusing on social learning and planning and expending less effort interpreting their results as a new category of imitation.

Effective stress management strategies correlate with improved academic performance in college students, yet inconsistent findings in existing research warrant further investigation. This study explored the intricate interplay between stress levels, coping strategies, and academic achievement in HyFlex learningenvironments. A stratified random sample of 111 students from five specializations within the Bachelor of Secondary Education program participated. Utilizing a descriptive-correlational design, data were collected through validated self-report questionnaires and a weighted general average. Subsequent descriptive statistics and bivariate correlation analysis revealed (...) moderate stress levels among participants who preferred task-oriented coping strategies. Interestingly, a significant positive association was observed between stress levels and academic achievement and emotion-oriented coping strategies, while a negative correlation emerged between stress and task-oriented coping strategies. Avoidance-oriented coping strategies, conversely, displayed a significant negative association with academic success. These findings underscore the crucial role of educational institutions in providing robust support mechanisms for stress management and cultivating a task-focused learning environment to optimize student well-being and academic performance within the HyFlex model. (shrink)

Psychological traits and disorders are often interrelated through shared genetic influences. A combination of maximum-likelihood structural equation modelling and multidimensional scaling enables us to open a window onto the genetic architecture at the symptom level, rather than at the level of latent genetic factors. We illustrate this approach using a study of cognitive abilities involving over 5,000 pairs of twins.

The present study aimed at investigating the motivational factors affecting Iranian learners’ learning of English as a Foreign Language across differing levels of language proficiency. To this end, 110 males and 70 females with an age range of 18–31 took part in the study and a mixed-methods approach was adopted. First, the researchers administered Oxford Placement Test to determine the proficiency level of the participants and placed them into three levels of language proficiency. Elementary, intermediate, and advanced. (...) Next, as for the quantitative part of the study, the Attitude/Motivation Test Battery questionnaire was distributed among all the participants to delve into the motivational factors. Finally, a semi-structured interview was conducted to qualitatively probe into EFL learners’ motivational factors affecting their learning of English. It was found that the motivational factors which encouraged EFL learners resulted from either intrinsic or extrinsic tendencies. The recognized intrinsically-based motivational factors were personal enjoyment, social prestige, and being challenged. The extrinsically-oriented factors as the source of motivation to learn English were getting a job, pursuing education, earning more money, traveling to foreign countries, pursuing academic careers, making efficient use of technology, and effectively interacting with native speakers. It was concluded that beginner and intermediate English language learners tended to learn English more based on extrinsic factors whereas advanced learners were found to be more intrinsically motivated. (shrink)

With obstacles at various levels of government, multi-level settings provide complex challenges for the implementation of gender mainstreaming. Policy transfer appears to hold some explanatory potential in these sorts of contexts; scholarship however, still tends to focus on single sources of influence – either European or domestic – and potentially misses the broader picture. This article revisits the classic question of who learns what from whom by addressing the implementation of gender mainstreaming in research policies in the Spanish regions (...) through the lens of policy transfer. Measures to tackle gender inequality in science have been developed at the EU, state and regional levels, thus enabling the three regions studied here – Galicia, the Basque Country and the Balearic Islands – to ‘borrow’ good practices from different layers of government. This article suggests that more nuanced frameworks, recognizing that multi-level settings are potential sites for complex lesson-drawing processes, are likely to offer greater explanatory depth. (shrink)

The impact of business ethics education on socially responsible practitioner behavior is not a new concern. A sizable extant literature base questions pedagogies used and outcomes achieved by the few early studies done in this area. Ensuing research has not produced definitive answers; measurement, methodological, and generalizability issues are prevalent due to the fragmented nature of most work. Given little pre-existing structure, an empirically-based model is needed which both sheds more awareness on the ethics education-business conduct relationship and quantifies the (...) degree of change that the education caused. This study operationalizes a multi-level ethical learning model. Using a survey administered at the start and end of an MBA ethics course,subsequent exploratory factor analysis, a matched t-test of pre and post-course mean scores, and an effect size calculation utilizing the Cohen’s d statistic, the existence of varying degrees of change in ethical outlook after formal ethics education is supported. Model enhancements and the potential for longitudinally following ethical learning from the classroom to the workplace are discussed. (shrink)

Electroencephalography and functional near-infrared spectroscopy have potentially complementary characteristics that reflect the electrical and hemodynamic characteristics of neural responses, so EEG-fNIRS-based hybrid brain-computer interface is the research hotspots in recent years. However, current studies lack a comprehensive systematic approach to properly fuse EEG and fNIRS data and exploit their complementary potential, which is critical for improving BCI performance. To address this issue, this study proposes a novel multimodal fusion framework based on multi-level progressive learning with multi-domain features. The framework (...) consists of a multi-domain feature extraction process for EEG and fNIRS, a feature selection process based on atomic search optimization, and a multi-domain feature fusion process based on multi-level progressive machine learning. The proposed method was validated on EEG-fNIRS-based motor imagery and mental arithmetic tasks involving 29 subjects, and the experimental results show that multi-domain features provide better classification performance than single-domain features, and multi-modality provides better classification performance than single-modality. Furthermore, the experimental results and comparison with other methods demonstrated the effectiveness and superiority of the proposed method in EEG and fNIRS information fusion, it can achieve an average classification accuracy of 96.74% in the MI task and 98.42% in the MA task. Our proposed method may provide a general framework for future fusion processing of multimodal brain signals based on EEG-fNIRS. (shrink)

Shors & Matzel set up a straw man, that LTP is a memory storage mechanism, and knock him down without due consideration of the important relations among different levels of organization and analysis regarding LTP, learning, and memory. Assessing these relationships requires analysis and hypotheses linking specific brain regions, neural circuits, plasticity mechanisms, and task demands. The issue addressed by the authors is important, but their analysis is off target.

In this research work, a user-friendly decision support framework is developed to analyze the behavior of Pakistani students in academics. The purpose of this article is to analyze the performance of the Pakistani students using an intelligent decision support system (DSS) based on the three-level machine learning (ML) technique. The neural network used a three-level classifier approach for the prediction of Pakistani student achievement. A self-recorded dataset of 1,011 respondents of graduate students of English and Physics courses are used. (...) The ten interviews along with ten questions were conducted to determine the perception of the individual student. The chi-squared ( χ ) \left(\chi ) test was applied to test statistical significancy of the questionnaire. The statistical calculations and computation of data were performed by using the statistical package of IBMM SPSS version 21.0. The seven different algorithms were tested to improve the data classification. The Java-based environment was used for the development of numerous prediction classifiers. C4.5 algorithm shows the finest accuracy, whereas Naïve Bayes (NB) algorithm shows the least. The results depict that the classifier’s efficiency was improved by using a three-level proposed scheme from 83.2% to 88.8%. This prediction has shown remarkable results when compared with the individual level classifier technique of ML. This improvement in the accuracy of DSSs is used to identify more efficiently the gray areas in the education stratum of Pakistan. This will pave a path for making policies in the higher education system of Pakistan. The presented framework can be deployed on different platforms under numerous operating systems. (shrink)

For medical schools, the COVID-19 pandemic necessitated examination and curricular restructuring as well as significant changes to clinical attachments. With the available evidence suggesting that medical students’ mental health status is already poorer than that of the general population, with academic stress being a chief predictor, such changes are likely to have a significant effect on these students. This online, cross-sectional study aimed to determine the impact of COVID-19 on perceived stress levels of medical students, investigate possible contributing and (...) alleviating factors, and produce recommendations for medical schools to implement during future healthcare emergencies. The majority (54.5%) of respondents reported levels of stress ranging from moderate to extreme. Higher levels of stress were significantly associated with female gender (p=0.039) and international status (p=0.031). A significant association was also noted between reported stress and the transition to online learning (p<0.0001) and online assessment formatting (p<0.0001), concerns for personal health (p<0.0001) and for the health of family members (p<0.0001). Students who reported higher stress levels were less confident in their government’s management of the crisis (p=0.041). Additionally, students who reported lower stress agreed highly that their medical school had an appropriate response to the crisis (p<0.0001), had provided sufficient information regarding the crisis (p=0.015), that they trust their school in handling the continuing of their education (p=0.020) and that their school had appropriate plans in place to support the continuing of education (p=0.017). (shrink)

This paper elaborates on the link between different types and degrees of experience that can be gone through within a form of life or collectivity—the so-called levels of immersion—and the development of distinct types of tacit knowledge and expertise. The framework is then probed empirically and theoretically. In the first case, its ‘predictions’ are compared with the accounts of novices who have gone through different ‘learning opportunities’ during a pre-operational training programme for running a huge nickel industrial plant (...) in Brazil. These are also analysed vis-à-vis the experience of an expert who has designed and experienced the outcomes of two pre-operational training sessions in the nickel industry before developing and managing the one discussed here. Theoretically, the framework is used to pinpoint exactly what interactional experts who have developed their expertise through linguistic socialisation alone are able to do as well as to analyse the case of technical connoisseurs. The results indicate that the proposed framework is useful. It supports the design and improvement of training programmes for the development of tacit knowledge while at the same time bringing about a refined analysis of claims concerning the abilities of types of experts and expertise. (shrink)

This study investigated grade level differences in teacher feedback, students’ self-regulated learning (SRL), and their relationship. Secondary students participated (N = 1,260; 430 tenth-, 460 eleventh-, and 370 twelfth-graders). Latent factor mean difference analyses suggested that teacher feedback and students’ SRL level varied across grades. Comparatively, tenth-grade teachers were perceived to provide verification feedback, scaffolding feedback, and praise most frequently; twelfth-grade teachers were perceived to provide directive feedback and criticism most frequently; and eleventh-grade teachers were perceived to provide all (...) types of feedback least frequently. Students’ SRL generally declined as they aged. Results from three-group structural equation modelling indicated that praise generally had the strongest correlations with SRL regardless of grade level; directive feedback was negatively correlated with tenth-graders’ SRL but positively correlated with eleventh- and twelfth-graders’ SRL; scaffolding and verification feedback were positively correlated with eleventh-graders’ SRL; and criticism had small correlations with SRL, regardless of grade level. (shrink)

The research aimed to produce an appropriate product, namely a cooperative learning model in the rituals of Hajj, to realize an independent Hajj congregation in terms of knowledge, understanding, attitudes, and skills, to specify the level of validity, realism, effectiveness, and attractiveness and so that the problems above can be resolved immediately resolved. This research uses the Research and Development (R&D) approach to achieve the aforementioned objectives. In general, the research and development model is the Four D model. This (...) model consists of four stages of development, i.e., define, design, develop, and develop. The results of the preliminary study / pre-field survey show that in terms of teaching performance of Hajj rituals, it appears that the learning services provided by the instructor/instructor have not been able to accommodate and appreciate the differences in ability (attitude) of Hajj pilgrims. The results of the model development trial show that "(1) it is necessary to improve the teaching performance of the Hajj ritual guide / instructor, (2) the development of the model requires specific teaching performance of Hajj rituals from the supervisor / instructor, and does not want excessive facilities and facilities. (3) there is an increase in the learning activities of Hajj pilgrims in all small groups (high, medium and low), (4) the realization of the optimization of the achievement of learning outcomes for Hajj rituals for Hajj pilgrims, both in the high, medium, and low groups. (shrink)

It has been suggested that preparing to teach and teaching are conditionally effective in enhancing one’s own learning. This paper focuses on interactivity—the level of teacher-student interaction in expected or actual teaching—as the potential key to understanding and controlling the variability in the effectiveness of learning by preparing to teach and teaching. By summarizing and reanalyzing the results of previous studies, I suggest that the learning benefits of studying with the expectation of direct teaching (i.e., teaching a (...) student face-to-face) are greater than those of studying with the expectation of indirect teaching (i.e., teaching a student indirectly by creating a lecture video, providing written explanations, or using other means) and that learning by direct teaching surpasses learning by explaining to oneself or indirect teaching at least after preparing to do so. Next, three candidate explanations for the impact of interactivity are discussed: the advantages of asking and answering questions, obtaining additional information about and from one’s student, and enhancing one’s motivation to process learning material deeply while preparing to teach and teaching. Finally, I conclude with the remaining questions and directions for future research. (shrink)

In this article, I explore plant semiosis with a focus on plant learning. I distinguish between the scales and levels of learning conceivable in phytosemiosis, and identify organism-scale learning as the distinguishing question for plant semiosis. Since organism-scale learning depends on organism-scale semiosis, I critically review the arguments regarding whole-plant functional cycles. I conclude that they have largely relied on Uexküllian biases that have prevented an adequate interpretation of modern plant neurobiology. Through an examination of (...) trophic growth in plant roots, I expose some conceptual difficulties in attributing functional cycles to whole-plants. I conclude that the mapping of resource areas in the root system is a learning activity requiring higher-scale sign activity than is possible at the cellular scale, strongly suggesting the presence of organism-scale functional cycles. I do, however, question whether all perception-action cycles in organisms are accompanied with organism-scale semiosis. (shrink)

Objects in the world usually have names at different hierarchical levels (e.g., beagle, dog, animal). This research investigates adults' ability to use cross‐situational statistics to simultaneously learn object labels at individual and category levels. The results revealed that adults were able to use co‐occurrence information to learn hierarchical labels in contexts where the labels for individual objects and labels for categories were presented in completely separated blocks, in interleaved blocks, or mixed in the same trial. Temporal presentation schedules (...) significantly affected the learning of individual object labels, but not the learning of category labels. Learners' subsequent generalization of category labels indicated sensitivity to the structure of statistical input. (shrink)

In this study the effects of learning approaches, locus of control (LOC), socio-economic status and self-efficacy on undergraduate students in North Cyprus was investigated. Four questionnaires were administered on 99 students in order to collect data regarding the learning approaches, LOC, self-efficacy and demographic factors. High cumulative grade point average and self-efficacy were shown to be an indicator of academic achievement and high self-efficacy was related to the use of deep approach (DA). Students, whose mothers had lower (...) class='Hi'>levels of education, were found to also predict academic success. No direct significant relationship between DA and academic achievement was found. (shrink)

The relatedness between a country or a firm and a product is a measure of the feasibility of that economic activity. As such, it is a driver for investments at a private and institutional level. Traditionally, relatedness is measured using networks derived by country-level co-occurrences of product pairs, that is counting how many countries export both. In this work, we compare networks and machine learning algorithms trained not only on country-level data, but also on firms, which is something not (...) much studied due to the low availability of firm-level data. We quantitatively compare the different measures of relatedness, by using them to forecast the exports at the country and firm level, assuming that more related products have a higher likelihood to be exported in the future. Our results show that relatedness is scale dependent: the best assessments are obtained by using machine learning on the same typology of data one wants to predict. Moreover, we found that while relatedness measures based on country data are not suitable for firms, firm-level data are very informative also for the development of countries. In this sense, models built on firm data provide a better assessment of relatedness. We also discuss the effect of using parameter optimization and community detection algorithms to identify clusters of related companies and products, finding that a partition into a higher number of blocks decreases the computational time while maintaining a prediction performance well above the network-based benchmarks. (shrink)

An important lesson that philosophy can learn from the Turing Test and computer science more generally concerns the careful use of the method of Levels of Abstraction (LoA). In this paper, the method is first briefly summarised. The constituents of the method are “observables”, collected together and moderated by predicates restraining their “behaviour”. The resulting collection of sets of observables is called a “gradient of abstractions” and it formalises the minimum consistency conditions that the chosen abstractions must satisfy. Two (...) useful kinds of gradient of abstraction – disjoint and nested – are identified. It is then argued that in any discrete (as distinct from analogue) domain of discourse, a complex phenomenon may be explicated in terms of simple approximations organised together in a gradient of abstractions. Thus, the method replaces, for discrete disciplines, the differential and integral calculus, which form the basis for understanding the complex analogue phenomena of science and engineering. The result formalises an approach that is rather common in computer science but has hitherto found little application in philosophy. So the philosophical value of the method is demonstrated by showing how making the LoA of discourse explicit can be fruitful for phenomenological and conceptual analysis. To this end, the method is applied to the Turing Test, the concept of agenthood, the definition of emergence, the notion of artificial life, quantum observation and decidable observation. It is hoped that this treatment will promote the use of the method in certain areas of the humanities and especially in philosophy. (shrink)

Objective: Mindfulness-based intervention has been proposed to alleviate loneliness and improve social connectedness. Several randomized controlled trials have been conducted to evaluate the effectiveness of MBI. This study aimed to critically evaluate and determine the effectiveness and safety of MBI in alleviating the feeling of loneliness.Methods: We searched Medline, Embase, PsycInfo, Cochrane CENTRAL, and AMED for publications from inception to May 2020. We included RCTs with human subjects who were enrolled in MBI with loneliness as an outcome. The quality of (...) evidence was assessed using Cochrane's Risk of Bias tool and Grading of Recommendations Assessment, Development, and Evaluation. A random-effects model was used for meta-analysis.Results: Out of 92 articles identified, eight studies involving 815 participants were included in this study. Most trials conducted a minimum of 8 weeks of MBI. Most of the trials used UCLA-Loneliness Scale. A pooled analysis combining three trials and compared with wait-list showed significant improvement in loneliness score reduction using the UCLA-R scale with MD of −6.33 [95% confidence interval : −9.39, −3.26]. Subgroup analysis with only two Cognitively-Based Compassion Training trials also showed similar MD of −6.05. The overall quality of evidence was low.Conclusions: Mindfulness intervention with an average length of 8-week duration significantly improved the population's loneliness level with no mental health issue. However, this evidence had a low GRADE level. (shrink)

Technology-based assessment offers unique possibilities for collecting data about students’ cognitive development and using this data to provide students and teachers with feedback to improve learning. The aim of this study was to show how the psychological dimension of learning can be assessed in everyday educational practice through technology-based assessment in reading, mathematics and science. We analyzed three related aspects of the assessments: cognitive development, gender differences and vertical scaling. The sample for the study was drawn from primary (...) school students in Grades 1–8 (aged 7 to 14) in Hungary. There were 1500 to 2000 students in each grade cohort. Online tests were constructed from 1638 items from the reading, mathematics and science domains in the eDia system. The results confirmed empirically that the disciplinary, application and psychological dimensions of learning can be empirically distinguished. Students’ cognitive development was the most steady (and effective) in mathematics where the greatest development happened in the first years of schooling. Path models suggested that the psychological dimension of learning can be predicted at a moderate level based on students’ level of school knowledge consisting of the disciplinary and application dimensions of learning as latent constructs. The predictive power was almost the same in both of the dimensions. Generally, girls developed faster in the psychological dimension of reading, mathematics and science learning; however, the size of gender differences varied by age and domain. This study (1) provides evidence that the psychological dimension of learning can be made visible even in an educational context and (2) highlights the importance of the explicit development of the psychological dimension of learning during school lessons, and (3) shows that there are gender differences in the developmental level of the psychological dimension of learning in favour of girls, but it varies by grade and domain. (shrink)

This paper describes a novel method for the delivery of an introductory module on survey sampling at a third?level institution. As part of the module, students undertake a practical survey that is of interest not only to themselves but also to university administrators and other module coordinators. Unlike many data collection activities used in class, these data have intrinsic value. This module is shown to produce students with a high level of expertise in survey sampling. It also fosters in students (...) wider generic capacities, such as information, communication and problem?solving skills and teamwork and leadership skills that prepare them for further study and employment. The emphasis on activity?based learning has led to increased student participation, improved examination results as well as enhanced student satisfaction with the module. (shrink)

The present article attempts to examine the relationship between learning agility and authentic leadership development. The recent rise in the cases of fraud involving leaders at various levels in the organizations, and the resulting distrust among the employees towards their leaders, points to the need to have authentic leaders, given the positive organizational outcomes associated with this leadership approach. Further, scholars have suggested that leadership development is possible through learning from one’s life experiences. The developmental definition of (...) authentic leadership also reflects the importance of learning from past experiences. Yet, studies have largely overlooked to explore the association between learning agility and authentic leadership development. This paper further tries to analyze the moderating effects of learning goal orientation and organizational culture on this relationship. Therefore, based on the existing research, the associations among these factors have been delineated and a conceptual model has been presented along with several propositions. Implications for future research and limitations of this work have also been discussed towards the end. (shrink)

We argue in this paper that so-called new wave reductionism fails to capture the nature of the interlevel relations between psychology and neuroscience. Bickle (1995, Psychoneural reduction of the genuinely cognitive: some accomplished facts, Philosophical Psychology, 8, 265-285; 1998, Psychoneural reduction: the new wave, Cambridge, MA: MIT Press) has claimed that a (bottom-up) reduction of the psychological concepts of learning and memory to the concepts of neuroscience has in fact already been accomplished. An investigation of current research on the (...) phenomenon of long-term potentiation reveals that this claim overstates the facts. Both the psychological and the neural concepts involved have not yet stabilized and face further correction under the influence of both bottom-up and top-down selection pressures. In addition, psychological concepts often refer to functions, and functions are indispensable and irreducible. Function ascriptions pick out objective patterns involving historical factors and distal goals. This view of functions implies that psychological facts cannot be simply read off from the neurophysiological facts. Although psychological theorizing is constrained by neurophysiology (and vice versa), psychology remains distinct at least to some degree. (shrink)

Quartz & Sejnowski's constructivist manifesto promotes a return to an extreme form of empiricism. In defense of learning by selection, we argue that at the neurobiological level all the data presented by Q&S in support of their constructive model are in fact compatible with a model comprising multiple overlapping stages of synaptic overproduction and selection. We briefly review developmental studies at the behavioral level in humans providing evidence in favor of a selectionist view of development.

Definition of the problem The umbrella term “explicability” refers to the reduction of opacity of artificial intelligence (AI) systems. These efforts are challenging for medical AI applications because higher accuracy often comes at the cost of increased opacity. This entails ethical tensions because physicians and patients desire to trace how results are produced without compromising the performance of AI systems. The centrality of explicability within the informed consent process for medical AI systems compels an ethical reflection on the trade-offs. Which (...) levels of explicability are needed to obtain informed consent when utilizing medical AI? Arguments We proceed in five steps: First, we map the terms commonly associated with explicability as described in the ethics and computer science literature, i.e., disclosure, intelligibility, interpretability, and explainability. Second, we conduct a conceptual analysis of the ethical requirements for explicability when it comes to informed consent. Third, we distinguish hurdles for explicability in terms of epistemic and explanatory opacity. Fourth, this then allows to conclude the level of explicability physicians must reach and what patients can expect. In a final step, we show how the identified levels of explicability can technically be met from the perspective of computer science. Throughout our work, we take diagnostic AI systems in radiology as an example. Conclusion We determined four levels of explicability that need to be distinguished for ethically defensible informed consent processes and showed how developers of medical AI can technically meet these requirements. (shrink)

This paper presents a ubiquitous learning system, the “Personalised Ubiquitous Learning Platform”, which integrates collaborative and social learning for the enhancement of the third level educational learning experience. University College Dublin provides its students with managed learning environments and adaptive learning via UCD Horizon which enables students to take different courses from different colleges throughout the university. The main objective of this platform is to complement the current MLEs with a single supported intelligent and (...) personalised ubiquitous learning environment that will promote and make provisions for adaptive and collaborative learning, human computer interaction on mobile and desktop clients anywhere and anytime. The system aims to enhance the students’ learning experience in third level educational environment by employing personalisation techniques such as the agent-oriented recommendation technique to engage students and help them access the content material for their studies. (shrink)