学出“感情”-北师大版小学数学案例两则

教师要用各种各样的手段和方法激发学生的学习兴趣,让学生感到学习不是一种负担,而是一种需要和满足,是一种最大的乐趣,从而感受到成功的喜悦.文章针对小学数学学习提出了感情学习,激发了学生的学习兴趣,为相关教学提供了一些参考.

Novel feature fusion method for speech emotion recognition based on multiple kernel learning

In order to improve the performance of speech emotion recognition, a novel feature fusion method is proposed. Based on the global features, the local information of different kinds of features is utilized. Both the global and the local features are combined together. Moreover, the multiple kernel learning method is adopted. The global features and each kind of local feature are respectively associated with a kernel, and all these kernels are added together with different weights to obtain a mixed kernel for nonlinear mapping. In the reproducing kernel Hilbert space, different kinds of emotional features can be easily classified. In the experiments, the popular Berlin dataset is used, and the optimal parameters of the global and the local kernels are determined by cross-validation. After computing using multiple kernel learning, the weights of all the kernels are obtained, which shows that the formant and intensity features play a key role in speech emotion recognition. The classification results show that the recognition rate is 78. 74% by using the global kernel, and it is 81.10% by using the proposed method, which demonstrates the effectiveness of the proposed method.

Adjustment to affective factors in English learning by using Internet English Curriculum Resource

The new curriculum standard points out that affection is one of the most important goals of fundamental education. The non-target language environment is easier to cause the affective change of middle school students who are changeable in their affective state. Based on the affective filter hypothesis, this paper deals with the adjustment to affective factors in English learning by using Internet English Curriculum Resource, such as attitude and motivation, anxiety and inhibition, self-esteem and self-confidence. At last, some suggestions are offered to judge Internet English Curriculum Resource.

An improved brain emotional learning algorithm for accurate and efficient data analysis

To overcome the deficiencies of high computational complexity and low convergence speed in traditional neural networks, a novel bio-inspired machine learning algorithm named brain emotional learning （BEL） is introduced. BEL mimics the emotional learning mechanism in brain which has the superior features of fast learning and quick reacting. To further improve the performance of BEL in data analysis, genetic algorithm （GA） is adopted for optimally tuning the weights and biases of amygdala and orbitofrontal cortex in BEL neural network. The integrated algorithm named GA-BEL combines the advantages of the fast learning of BEL, and the global optimum solution of GA. GA-BEL has been tested on a real-world chaotic time series of geomagnetic activity index for prediction, eight benchmark datasets of university California at Irvine （UCI） and a functional magnetic resonance imaging （fMRI） dataset for classifications. The comparisons of experimental results have shown that the proposed GA-BEL algorithm is more accurate than the original BEL in prediction, and more effective when dealing with large-scale classification problems. Further, it outperforms most other traditional algorithms in terms of accuracy and execution speed in both prediction and classification applications.

Writing Haiku in a Second Language： Perceptions, Attitudes, and Emotions of Second Language Learners

The aim of the current study is to discuss the value of poetry writing in an L2 （second language） by investigating perceptions, attitudes, and emotions of 20 EFL （English as a Foreign Language） college freshmen regarding writing Japanese poetry, haiku in English. This paper first discussed issues and uses of literature in L2 contexts and addressed the current empirical inquiry into L2 haiku writing as a method for L2 learning. The study was designed as a qualitative research which investigated the participants＇ reflection on writing L2 haikus for six weeks in an EFL college writing course. The data obtained was analyzed by using the coding system and showed that writing haiku in the target language was a challenging but valuable task for L2 learning among the EFL students. Especially haiku composition allowed them to develop their L2 linguistic awareness

Teaching Religious Education in Schools and Adolescents＇ Social and Emotional Development. An Action Research on the Role of Religious Education and School Community in Adolescents＇ Lives

The presentation of the findings of this article is based on an action research focused on the supportive role of the school in adolescents＇ lives, whereby Religious Education＇s contribution to the social and emotional development of adolescents （11-15） is combined with the evaluation of the potential offered by a constructivist approach to the learning process. The research commenced in 2012 and is now in its third ＂year. The project is based on an intervention at a high school in an impoverished suburb of Athens and researches educational practices through interpretative-ethnographic methods. The researcher has attempted to answer the question of whether the design of the learning environments is effective not only in the learning process, but also on inter-communication and ＂connectedness＂ between the members of the learning community. The findings so far indicate a correlation between adolescents＇ emotional and social wellbeing and the school＇s approach to knowledge and learning methods, specifically in Religious Education classes. It is fair to say, however, that there exist ethnic, social and family components that are negatively related to a sense of＂connectedness＂ within the school although at the same time Religious Education as a subject is, however, found to be positively related to learning community atmosphere.

Analysis of the application of a happy leaming method in college English classroom teaching

Emotional teaching is an important part of language teaching. In the teaching activities, teachers should exploit and make full use of students＇ emotional factors to arouse their learning interest and motivation and therefore to improve students＇ English level. The author proposes a teaching concept of happy learning method in college English classroom teaching according to their own teaching practice, the concrete implementation measures of happy learning method include： encourage students to take the group cooperative learning method, establish good emotional communication relations between teachers and encourage students to correct each other by inquiry discussion and so on.

Basic Study on Elderly Tele-nursing Model for Emote Nursing by Smart Device

This study was carried out to examine the development of an “elderly tele-nursing model” for care provided in-home by family members and through remote nursing systems in a super-aging society. This model studied the travel time, cost, and means of transportation of care providers. The pre-survey results regarding elderly tele-nursing show that a son/daughter can visit a parent more than once a week. In the results, the time required for elderly tele-nursing was influenced by whether or not the visitor uses the shinkansen （bullet train of Japan）. In the main survey, based on 40 questionnaires, clear differences were observed according to whether visits were “every two weeks” or “once per month”. Furthermore, this result was also indicated by t-tests.

Investigating Affordance in Technology-Enriched Language Learning Environment Through Exploring Students’Perezhivanija

Preceding works tend to explicate affordance through supposing what is happening here and now.They seldom relate it to actual social,diachronic activities,such as foreign language learning.To tackle this issue,this study explores how students actualize affordances in technology-enriched language learning environment(TELLE)by examining their perezhivanija(lived and emotional experience),a term borrowed from sociocultural theory.Because an individual’s social life is a developing process or a perezhivanie2,it is necessary to base the research in a dynamic development of language learning to figure out how the affordances are actualized.Narrative interviews were adopted to collect data from three Chinese college students who learn English as a foreign language in a Northeastern university in China.The results showed that due to the students’different past perezhivanija in English learning,their present interpretations of the perceived affordances in TELLE varied.This influenced hugely in their actions taken during their English learning in college to actualize the affordances.The findings indicated that the actualization of affordances is historical,dynamic and developmental instead of static.It does not lie in the autonomy of the students or the teachers,but in the institutional and cultural legitimacy of technology use in student’s social life.The paper contributes to the application of affordance theory in foreign language learning and provides implications to language teaching practice in TELLE.

Emotional Problems and Countermeasures in English Learning

The emotional factors play an important role in the process of language learning. Exploration of the emotional problems in the process of English learning can promote the emotional communication between teachers and students. The organic combination of the two aspects of cognitive and emotional can help to finish the promotion of cognitive and education with emotion. People abroad have achieved many results about the research, while further research in domestic is still rare. This paper mainly analyzes the main emotional problems influencing the English leaming, clarifies the importance of using emotional strategy in English learning, points out the way of improving learning effect by affective strategies, thus to guide the students form the corresponding emotion strategy, effectively use in English learning, and improve the English learning.

Transfer learning with deep sparse auto-encoder for speech emotion recognition

In order to improve the efficiency of speech emotion recognition across corpora,a speech emotion transfer learning method based on the deep sparse auto-encoder is proposed.The algorithm first reconstructs a small amount of data in the target domain by training the deep sparse auto-encoder,so that the encoder can learn the low-dimensional structural representation of the target domain data.Then,the source domain data and the target domain data are coded by the trained deep sparse auto-encoder to obtain the reconstruction data of the low-dimensional structural representation close to the target domain.Finally,a part of the reconstructed tagged target domain data is mixed with the reconstructed source domain data to jointly train the classifier.This part of the target domain data is used to guide the source domain data.Experiments on the CASIA,SoutheastLab corpus show that the model recognition rate after a small amount of data transferred reached 89.2%and 72.4%on the DNN.Compared to the training results of the complete original corpus,it only decreased by 2%in the CASIA corpus,and only 3.4%in the SoutheastLab corpus.Experiments show that the algorithm can achieve the effect of labeling all data in the extreme case that the data set has only a small amount of data tagged.

小学数学教学之我见

兴趣是做好一件事情的前提条件，没有这个前提，做事就不会取得良好的效果。当学生对学习感到兴趣的时候，他们就会积极主动、心情愉快地投入到学习中去，当他们满怀兴趣地学习时，就能掌握快，记得牢，效果好。园此，在小学数学的教学中也不应是强制学生去学习，而应积极地去激发学生的学习兴趣，让他们想学习、主动去学习，才能取得较好的学习效果。本文就小学数学教学中如何培养学生的学习兴趣谈谈自己的认识。

The Social Group and Its Positive Effect on Social and Learning Skills the Child Earns

The education of children during the preschool age and social factors have a big impact on their preparation for life Kindergarten and the group will prepare the child to become independent in his decisions and activities. In the preschool period, the child experiences a rapid development, especially in the emotional sphere. That is why one of the prior characteristics of the development is emotionality. Preschool children＇s feelings are so strong that they include the children＇s appearance. Children experience the objective truth very subjectively. All the knowledge and the behavior of the child depend on emotions, which we must take great care of in the kindergarten. We can use the child＇s emotions to stimulate in a positive way the motivation to learn. In cases where there is the emotionally convenient atmosphere for growth and development, the child has strong security and faith feelings to build relationships with the others. Starting the kindergarten is a challenge both for the mother and the child. The mother should be the child＇s biggest reliance to get used to the new environment. Socialization and the emotional development of the child cannot be separated. Winning and development of skills is in both individual and social nature. Cognitive processes do not function in the social emptiness

A Study on Chinese English Leamers＇ Use of Emotion Words

Most educated Chinese take English as an important communication tool and the language has been increasingly frequently used in all walks of life in the country. This paper is to examine the use of English emotion words on the target group of English learners in China. The study is designed to find out the relationship between the use of emotion words and such relevant variables as language proficiency, gender, and age. The results demonstrate that the use of emotion words is significantly linked to the level of proficiency as well as gender. Age is found to have slight effect on the use of emotion words. The study also reveals that more positive emotion words are produced than negative ones in the speech. Based on the major findings, some implications and suggestions are offered： Firstly, English learners in China are expected to improve their language proficiency, particularly that of listening and speaking. Secondly, they are supposed to enhance their culture awareness of English by means of exposing themselves to as much authentic language as possible.

Affective rating ranking based on face images in arousal-valence dimensional space

In dimensional affect recognition, the machine learning methods, which are used to model and predict affect, are mostly classification and regression. However, the annotation in the dimensional affect space usually takes the form of a continuous real value which has an ordinal property. The aforementioned methods do not focus on taking advantage of this important information. Therefore, we propose an affective rating ranking framework for affect recognition based on face images in the valence and arousal dimensional space. Our approach can appropriately use the ordinal information among affective ratings which are generated by discretizing continuous annotations.Specifically, we first train a series of basic cost-sensitive binary classifiers, each of which uses all samples relabeled according to the comparison results between corresponding ratings and a given rank of a binary classifier. We obtain the final affective ratings by aggregating the outputs of binary classifiers. By comparing the experimental results with the baseline and deep learning based classification and regression methods on the benchmarking database of the AVEC 2015 Challenge and the selected subset of SEMAINE database, we find that our ordinal ranking method is effective in both arousal and valence dimensions.