502 research outputs found

    Navigating toward an uncertain future:how students regulated goals during the emergency remote learning

    Get PDF
    Abstract. This study aims to examine the goal-setting regulation of higher students in the context of emergency remote learning. Using Emergency Remote Learning (ERL), Self-Regulated Learning (SRL) and Achievement Goal Theory (AGT) as the main theoretical frameworks, this study sought to examine which type of goals students set during the pandemic, how the emergency remote learning influenced students’ goal setting and regulating, which challenges students confronted and strategies to successfully overcome them. The thesis targets international higher students who started their studies in 2020, using qualitative methods and designed individual in-depth interviews to gain insights about students of 2020’s goals. Besides, a small set of quantitative data is also collected and analyzed to investigate the situated awareness of students about emergency remote learning. The findings reveal several notable points. First, studying under the circumstance of emergency remote learning is not only in an emergency manner but also has a persistency characteristic, thus long time of online teaching might cause a relatively high extent of stress in students. Second, students in their first year (during the emergency remote learning) tended to pay more attention to their mastery ambitions. After the emergency remote learning, there was a tendency to shift goals to performance-orientation. Third, not all goal changes were related to the influence of emergency remote learning, since goal change is a natural phenomenon in life. Forth, among challenges confronted during the emergency remote learning, instructional challenges and emotional and motivational challenges are most repeated and notable. Fifth, students shared numerous useful tips and strategies to overcome the hard situation, noteworthily, some of them are avoidance-oriented. The implications of this study include the potential for instructors to design their teaching to better facilitate students in emergency remote learning, especially to compensate for the shortcomings of support systems and ill-designed instructions. Besides, insights from the finding also contribute to furthering research on the consequences of emergency remote learning not only during but after the pandemic, focusing on goal-setting, one of the key elements of self-regulated learning

    Nonparametric estimation of the fragmentation kernel based on a PDE stationary distribution approximation

    Full text link
    We consider a stochastic individual-based model in continuous time to describe a size-structured population for cell divisions. This model is motivated by the detection of cellular aging in biology. We address here the problem of nonparametric estimation of the kernel ruling the divisions based on the eigenvalue problem related to the asymptotic behavior in large population. This inverse problem involves a multiplicative deconvolution operator. Using Fourier technics we derive a nonparametric estimator whose consistency is studied. The main difficulty comes from the non-standard equations connecting the Fourier transforms of the kernel and the parameters of the model. A numerical study is carried out and we pay special attention to the derivation of bandwidths by using resampling

    Первое сообщение об Auerbachia chakravartyi (Myxosporea: Bilvavulida) из желчного пузыря Megalaspis cordyla во Вьетнаме

    Get PDF
    В 2017 г. в Тонкинском заливе было исследовано 20 экз. Megalaspis cordyla. Морфологическими и молекулярно-биологическими методами было установлено наличие в желчном пузыре 7 из 20 рыб (35 %) спор Auerbachia chakravartyi Narasimhamurti, Kalavati, Anuradha, Padma, 1990. Это первая находка представителей рода Auerbachia в морских рыбах Вьетнама

    Improving Zero-shot Translation with Language-Independent Constraints

    Full text link
    An important concern in training multilingual neural machine translation (NMT) is to translate between language pairs unseen during training, i.e zero-shot translation. Improving this ability kills two birds with one stone by providing an alternative to pivot translation which also allows us to better understand how the model captures information between languages. In this work, we carried out an investigation on this capability of the multilingual NMT models. First, we intentionally create an encoder architecture which is independent with respect to the source language. Such experiments shed light on the ability of NMT encoders to learn multilingual representations, in general. Based on such proof of concept, we were able to design regularization methods into the standard Transformer model, so that the whole architecture becomes more robust in zero-shot conditions. We investigated the behaviour of such models on the standard IWSLT 2017 multilingual dataset. We achieved an average improvement of 2.23 BLEU points across 12 language pairs compared to the zero-shot performance of a state-of-the-art multilingual system. Additionally, we carry out further experiments in which the effect is confirmed even for language pairs with multiple intermediate pivots.Comment: 10 pages version accepted in WMT 201

    Improving Zero-shot Translation with Language-Independent Constraints

    Get PDF

    AIR QUALITY MONITORING AND ITS EMISSION SOURCES IN HANOI

    Full text link
    Joint Research on Environmental Science and Technology for the Eart
    corecore