论语境对间接言语行为理解的决定程度——对《红楼梦》一则对话的分析

间接言语行为的推理依赖于语境。语境不是静态的、先前预设的 ,而是因人而异的 ,是随着听话人的信息量的增加、减少而不断变动、更新的。对《红楼梦》一则对话进行详细的语用推理表明 :由语境决定的最佳关联信息是语用推理最重要的环节 ,对最佳关联信息的理解运用程度决定着对主要施为用意的理解程度     

The articulation of the development of teacher knowledge during the implementation of new teaching procedures to enhance student understanding of molecular biological concepts

This paper is based on the first author’s extensive examination of her teaching and her students’ learning in a senior high school Biology classroom at a coeducational K-12 independent college in Victoria, Australia, over a five-year period. Research was guided by the following questions: (1) How can students become more aware of the specific biological terminology that they will need to use to communicate their understanding of biological concepts? (2) How can student familiarity with new biological terminology be enhanced? (3) Which teaching strategies might be most effective across the diverse range of abilities and learning styles within a senior Biology classroom? Three key data-sets ([1] Development of specific teaching procedures; [2] Student responses to using the teaching procedures; [3] Teacher journal entries and reflections) were analysed supported by Korthagen’s ALACT model. Findings support the notion that genuine educational change is linked to teacher change, driven by teachers themselves, drawing new insights into students’ learning.     

A Review of Practical Reasoning in Child and Youth Research

The purpose of the review is to investigate various relations between the concepts of competence and participation found within child and youth research with the aim of identifying differences in practical reasoning of the various kinds of child research. The search identified 260 articles, and an in-depth analysis of 39 articles was conducted, elaborating the conceptual differences inherent in the different child research fields. Based on a philosophy of practice, the analysis identified 3 different causal connections between the concepts of competence and participation, indicating 3 different ways of understanding means and ends in child research. The review thereby offers an understanding of how and why interdisciplinary problems sometimes occur in education and child care.     

谈评论语言的使用技巧

评论文章常常是报刊的灵魂和旗帜，起着宣传和导向作用。正确掌握语言特点。能使文章锦上添花．增强宣传效果。语言风格符合作者身份，语言使用适应读者文化层次以及行文言语平和、文风活泼、文字洗练等是不断改进和提高评论文章水平的关键。     

Orders of magnitude reasoning applied in selecting shield

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Drawing to reason and learn in science

Despite mixed results in research on student learning from drawing in science, there is growing interest in the potential for this visual mode, in tandem with other modes, to enact and enable student reasoning in this subject. Building on current research in this field, and using a micro-ethnographic approach informed by socio-semiotic perspectives, we aimed to identify how and why student drawing can contribute to student reasoning and learning. In our study, secondary school students were challenged to explore and collaboratively create explanatory representations of phenomena including through drawing. Data were generated using multiple wall- and ceiling-mounted cameras capable of continuously tracking groups of students negotiating these representational challenges. Our analysis proceeded through active and iterative viewing of the extensive video record, and the identification of themes to establish possible relationships between drawing and reasoning. Through this process, we (a) identify multiple necessary conditions and varied opportunities for student drawing to enact and enable reasoning, and (b) extend current understandings of how the particular affordances of this mode interact with these conditions to contribute to student learning in science.     

Taking the relational structure of fractions seriously: Relational reasoning predicts fraction knowledge in elementary school children

Understanding and using symbolic fractions in mathematics is critical for access to advanced STEM concepts. However, children and adults consistently struggle with fractions. Here, we take a novel perspective on symbolic fractions, considering them within the framework of relational structures in cognitive psychology, such as those studied in analogy research. We tested the hypothesis that relational reasoning ability is important for reasoning about fractions by examining the relation between scores on a domain-general test of relational reasoning (TORR Jr.) and a test of fraction knowledge consisting of various types of fraction problems in 194 s grade and 145 fifth grade students. We found that relational reasoning was a significant predictor of fractions knowledge, even when controlling for non-verbal IQ and fractions magnitude processing for both grades. The effects of relational reasoning also remained significant when controlling for overall mathematics knowledge and skill for second graders but was attenuated for fifth graders. These findings suggest that this important subdomain of mathematical cognition is integrally tied to relational reasoning and opens the possibility that instruction targeting relational reasoning may prove to be a viable avenue for improving children’s fractions skills.     

Examining the reciprocal relations of mathematics anxiety to quantitative reasoning and number knowledge in Chinese children

This study aimed to examine the longitudinal relations of mathematics anxiety to quantitative reasoning and number knowledge in Chinese children. Three hundred and sixteen 6-year-old Chinese children in Hong Kong participated in two waves of assessments, eight months apart. Cross-lagged panel analyses showed that prior quantitative reasoning and number knowledge predicted lower mathematics anxiety, even after the effects of gender, mothers’ educational levels, and general anxiety were taken into account. However, earlier mathematics anxiety did not predict later quantitative reasoning and number knowledge. Our findings were consistent with the Deficit Theory, which postulates that mathematics anxiety comes from poor mathematical competence but not vice versa. We also found a reciprocal association between quantitative reasoning and number knowledge, in which initial quantitative reasoning had a stronger prediction on later number knowledge. Taken together with previous research, this result highlights the importance of quantitative reasoning in children’s mathematics learning and its role in mathematics education.     

Auditing fairness under unawareness through counterfactual reasoning

Artificial intelligence (AI) is rapidly becoming the pivotal solution to support critical judgments in many life-changing decisions. In fact, a biased AI tool can be particularly harmful since these systems can contribute to or demote people’s well-being. Consequently, government regulations are introducing specific rules to prohibit the use of sensitive features (e.g., gender, race, religion) in the algorithm’s decision-making process to avoid unfair outcomes. Unfortunately, such restrictions may not be sufficient to protect people from unfair decisions as algorithms can still behave in a discriminatory manner. Indeed, even when sensitive features are omitted (fairness through unawareness), they could be somehow related to other features, named proxy features. This study shows how to unveil whether a black-box model, complying with the regulations, is still biased or not. We propose an end-to-end bias detection approach exploiting a counterfactual reasoning module and an external classifier for sensitive features. In detail, the counterfactual analysis finds the minimum cost variations that grant a positive outcome, while the classifier detects non-linear patterns of non-sensitive features that proxy sensitive characteristics. The experimental evaluation reveals the proposed method’s efficacy in detecting classifiers that learn from proxy features. We also scrutinize the impact of state-of-the-art debiasing algorithms in alleviating the proxy feature problem.     

Boosting question answering over knowledge graph with reward integration and policy evaluation under weak supervision

Among existing knowledge graph based question answering (KGQA) methods, relation supervision methods require labeled intermediate relations for stepwise reasoning. To avoid this enormous cost of labeling on large-scale knowledge graphs, weak supervision methods, which use only the answer entity to evaluate rewards as supervision, have been introduced. However, lacking intermediate supervision raises the issue of sparse rewards, which may result in two types of incorrect reasoning path: (1) incorrectly reasoned relations, even when the final answer entity may be correct; (2) correctly reasoned relations in a wrong order, which leads to an incorrect answer entity. To address these issues, this paper considers the multi-hop KGQA task as a Markov decision process, and proposes a model based on Reward Integration and Policy Evaluation (RIPE). In this model, an integrated reward function is designed to evaluate the reasoning process by leveraging both terminal and instant rewards. The intermediate supervision for each single reasoning hop is constructed with regard to both the fitness of the taken action and the evaluation of the unreasoned information remained in the updated question embeddings. In addition, to lead the agent to the answer entity along the correct reasoning path, an evaluation network is designed to evaluate the taken action in each hop. Extensive ablation studies and comparative experiments are conducted on four KGQA benchmark datasets. The results demonstrate that the proposed model outperforms the state-of-the-art approaches in terms of answering accuracy.