Japanese Teaching Research Articles

Analysis of Cross-cultural Education in Japanese Teaching based on Multimedia Technology

Analysis of Cross-cultural Education in Japanese Teaching based on Multimedia Technology

Chinese JSL/JFL learners' online perception of Japanese verb conjugations: Evidence from a behavioral study

Verb conjugation is essential in learning Japanese as a second or foreign language (JSL/JFL). Previous studies showed that Chinese JSL/JFL beginners behaved differently in acquiring Japanese verb conjugations, but the results were obtained from offline tests (e.g., writing examination without time limitation), hard to reflect the real perception. On this background, the current study adopted a time-controlled lexical decision task (real-time automatic processing) to explore how Chinese intermediate JSL/JFL learners processed four types of verb conjugations (i.e., masu/tai form, te/ta form, nai form and yoo form). Based on the error rates and RTs collected form 27 Chinese intermediate JSL/JFL learners, the results showed that the JSL/JFL learners processed better in masu/tai form and te/ta form, followed by nai form and yoo form. The discrepant processing of the four types of Japanese verb conjugations suggests that the JSL/JFL learners do have difficulties in Japanese acquisition. Finally, a general discussion is offered from the perspective of verb conjugations' frequency, JSL/JFL learners' learning strategy and Japanese teaching method.

Educational and entertainment video (comic episodes of performance genre of manzai) as a modern method of Japanese teaching

One of the popular and efficient technologies of teaching foreign languages and cultures in recent time is edutainment technology. It’s been considered as the one which brings positive results having as its elements learning, media and play / entertainment. The purpose of this article is to research educational and entertainment videos of the Japanese comic performance genre of manzai as an edutainment technology which effectively helps forming communicative and also linguo-sociocultural competence among students of the beginner level particularly majoring in translation. Also our target is toshow the main features of mentioned technology and its merits among other ones. Methods. Various researches on technology of edutainment have been overviewed to present its representative features. Results. In this research educational and entertainment video (comic episodes of the Japanese performance genre of manzai) has been analyzed from the point of view of its structure and linguistic peculiarities and evaluated as a considerable technology to present and to broaden vocabulary of the Japanese language in humoristic non-formal way which makes learning more efficient and interesting. It’s been also shown as a source to deepen the comprehension of mentality and communicative behavior of the Japanese which helps to form linguo-sociocultural competence. Conclusion. Having considered various merits of mentioned above technology we estimate it as the one which is warrant attention during the classes of the Japanese language at the beginner level in particular.

Research on the Strategy of Integrating Chinese Culture into Japanese Teaching

Research on the Strategy of Integrating Chinese Culture into Japanese Teaching

Exploration on the Cultivation of Senior High School Japanese Teachers in Colleges and Universities

With the deepening of foreign language curriculum reform in primary and secondary schools and the reform of multilingual foreign language college entrance examination, there has been a "Japanese craze for national college entrance examination". However, compared with the rapid growth of the number of candidates for the college entrance Japanese examination, the number of Japanese teachers in senior high schools is still significantly insufficient, and the cultivation of Japanese teachers in colleges and universities is still in its infancy. Based on "the knowledge requirements of Interpretation of Japanese Curriculum Standards", "the experience of front-line teachers" and "the expectation of Japanese candidates for the college entrance examination", this study believes that colleges and universities should cultivate senior high school Japanese teachers from the following aspects: (1) the curriculum should pay attention to interdisciplinary; (2) cultivate Japanese teaching ability in practice; (3) pay attention to Japanese education in senior high schools and the college entrance Japanese examination; (4) cultivate positive psychological quality.

Personalized Recommendation Method of Japanese Teaching Resources Based on Collaborative Filtering

Personalized Recommendation Method of Japanese Teaching Resources Based on Collaborative Filtering

The Research of Online and Offline Mixed Teaching Practice Based on POA + BOPPPS Teaching Mode

Taking Advanced Japanese course as an example, this paper carried out a research on the blended online and offline teaching reform of advanced Japanese based on POA philosophy and BOPPPS teaching model. Aiming at the current situation of Japanese teaching in colleges and universities, the teaching objectives of the course are formulated in combination with the training objectives of Japanese majors in colleges and universities. On this basis, combined with the characteristics of the course and the learning situation, an effective six-step teaching method based on POA teaching theory and BOPPPS is proposed. Combined with the network teaching platform, the blended online and offline teacher-student co-construction teaching mode is constructed in the whole process of before, during and after class. This paper discusses the key issues in the teaching design and implementation of the model, and gives specific suggestions for each step of the teaching process combined with specific teaching cases, in order to explore and practice how to form a more systematic and modular effective teaching model.

Design and Implementation of Online Japanese Examination System Based on Genetic Algorithm

In order to solve the problem of online inspection of students’ theoretical knowledge of Japanese, this paper further optimizes and adjusts the design of the online Japanese examination system and presents an online Japanese examination system based on genetic algorithm. Taking the Japanese test as the research object, on the basis of comprehensively analyzing the problems of slow test paper composition, low success rate, and low quality of traditional online test systems, an intelligent test composition model based on genetic algorithm is proposed, and the implementation process of genetic algorithm and the key steps are described in detail. The results show that the online Japanese examination system based on genetic algorithm can meet the needs of test paper generation in more complex situations. After a long time of operation and continuous improvement, the online Japanese examination system has obtained the adaptability of the best solution. The value of the fitness is 99.666667; when the fitness is at this value, the error of the question type score of the test paper is 0, the average difficulty error on the test paper is 0, and the error of the section test point distribution is 0.666667. This fully illustrates the stability and effectiveness of the Japanese online examination system, which can meet the needs of daily Japanese majors and improve the efficiency of Japanese teaching.

Comparative Study on the Teaching of Japanese Listening and Speaking in the Language Room of Teachers' Intelligent Multimedia Systems in Chinese and Foreign Universities

With the popularization of computers and various mobile intelligent terminals, intelligent multimedia teaching systems with learners as the main body are more and more favored by learners, which affects and changes the methods and modes of Japanese teaching to a large extent. Native language teachers are considered the authority of the language. Fluent oral expression and profound knowledge of language and culture make them regarded as ideal foreign language teachers, especially in oral teaching, they are regarded as having incomparable advantages. This research aims to explore the differences between Chinese and foreign teachers in listening and speaking teaching under the teaching conditions of the intelligent multimedia language room, and to try to analyze the reasons for the differences. This paper interviewed 180 sophomores of Japanese majors, 4 Chinese Japanese teachers and 2 Japanese foreign teachers at foreign language universities through a questionnaire survey, and analyzed the statistical data through SPSS 21.0. The 180 students were divided into groups of 30, with 4 groups from non-Japanese teachers' classes and 2 from Japanese teachers' classes. For a long time, they have used the same Japanese listening and speaking textbooks in the intelligent multimedia language room. In order to better improve the quality of teaching, Chinese and foreign teachers should strengthen teaching cooperation and exchanges, rationally improve teaching content, optimize the use of teaching software, and achieve win-win cooperation. In the NJST class, 29.2% of students believe that they spend more time practicing listening in class than speaking. In the NNJST class, close to 39.1% of students believe that teachers spend more time on listening. Fully consider the needs of learners in learning a second language other than Chinese, and through research on Japanese learning strategies and teaching theories, to design and develop an intelligent Japanese teaching system with comprehensive functions, strong applicability, and support for individualized, autonomous and collaborative learning.

LEARNING A LANGUAGE OF TWO ALPHABETS: PRACTICAL APROACHES IN HIRAGANA AND KATAKANA ACQUISITION FOR BEGINNER LEARNERS OF JAPANESE LANGUAGE

The Japanese language has a 128 million speakers and has around 4 million learners in the world. In Ecuador, however, there are only six institutions offer Japanese classes to 150 learners. This small number of learners may be due in part to geographic and cultural distance, as well as the economic and political circumstances separating Ecuador and Japan. Furthermore, the uniqueness of the linguistic characteristics of Japanese is also a major factor influencing learner reluctance. One of the principal characteristics of this language is its three writing systems: hiragana, katakana and kanji. This paper outlines the linguistic characteristics of Japanese, focusing on hiragana, katakana and kanji, and sets out the difficulties which learners experience in this area. In the second part, with reference to these characteristics, the study introduces class activities to show how learners may acquire the basic characters of the writing systems as an important first step in learning Japanese, with the aim of reducing the burden on the language acquisition process. Through this research, the importance of peer-learning and collaboration between learners and teachers is highlighted as a means of facilitating approaches to the teaching and learning of Japanese.

The Development Strategy of the Multimedia Fusion Mode of Big Data Technology in Japanese Translation Teaching

With the in-depth development of economic globalization, the connection and communication between China and other countries in the world are increasingly deepened, so the task of cultivating translation talents in various languages is particularly important. In the teaching process, teachers mainly focus on explaining theoretical knowledge and lack of classroom interaction, resulting in a boring and dull classroom atmosphere. At the same time, it does not pay attention to the practice of translation after class and often pays attention to interpretation and neglects written translation, which leads many students to think that Japanese translation is difficult and boring, which greatly reduces students’ enthusiasm for learning. In view of this situation, the application of multimedia technology in Japanese translation teaching proposes that the application of multimedia technology in Japanese teaching can improve the interest of students in Japanese learning and improve the teaching effect of Japanese teaching. Firstly, this paper constructs a logistic semantic ontology model based on automatic calibration of Japanese translation, extracts Japanese semantic features through this model, and performs relational mapping on the extracted Japanese semantic features. Starting from each aspect, optimize the automatic calibration algorithm of Japanese translation, find the best semantic relevance feature in each sentence, and realize automatic optimization, thereby improving the automatic calibration of Japanese translation machines and the registration of subject words.

Research and Analysis on Japanese Teaching Mode of Online Education under Multimedia Network Environment

Japanese is among the international languages in extreme demand in the modern education system. There is a technological revolution in language learning, with blended learning (BL) in the classroom and online resources offering the possibility of autonomous learning education. The advancement of Information Communication Technology (ICT) and the development of the Internet, predominantly the Web, has transformed the way students get curriculum materials in online environments. Teaching Japanese languages has experienced crucial changes with multimedia technologies aimed at simulating a native-speaking environment in audition and oral communication. Evaluating student readiness for online learning is the beginning point for online course design using the multimedia network. Hence, this paper proposes the Multimedia Network-assisted Online Japanese Language Teaching Method (MN-OJLTM) to enhance student engagement in the online learning environment. This study identifies probabilities for better incorporation of technology and Japanese language learning and learners’ interest and desires via tactical education of Japanese online courses. This paper examines the role and influence of an intelligent learning environment of ICT multimedia in Japanese education. Experimental outcomes show that the suggested MN-OJLTM method enhances the accuracy of usage and Japanese language students’ fluency and expression in writing and speaking. The simulation outcomes demonstrate that the proposed MN-OJLTM method improves student learning ability ratio by 98.4%, language fluency level by 96.2%, performance ratio by 97.5%, student engagement ratio by 95.6%, and efficiency ratio by 97.9% compared to other popular methods.

Hybrid Japanese Language Teaching Aid System with Multi-Source Information Fusion Mapping

Learning Japanese can enhance competitiveness in a globalized economy, and we address the problems of poor open-source Japanese language teaching, cumbersome teaching tasks, and a single teaching model. We propose a hybrid Japanese teaching aid system with multiple information fusion mapping, which can effectively improve the efficiency of Japanese teaching and reduce the tedious human teaching procedures. The system is divided into two branches of Japanese language recognition, namely, the Japanese text recognition branch and the Japanese voice sequence recognition branch. In the Japanese text recognition branch, we integrate attention mechanisms and long short-term memory networks as the basic network for Japanese character text recognition. In addition, we set up separate text feature recognition systems for Japanese computer writing and handwriting to prevent feature overlap problems. For Japanese voice sequence recognition, we used a combination of memory gating unit and encoder, based on the network still extending the structure of the deep neural network and using the residual structure connection in the gating unit to avoid the gradient disappearance problem. At the end of the system, we use a softmax layer to connect the text recognition and voice recognition networks to form a Japanese language teaching aid system. To verify the efficiency of our system, we selected the Japanese text recognition public dataset and voice recognition public dataset for experimental validation. To match the practical application of the system, we created our dataset based on the dataset standard and conducted experimental validation. To compare other Japanese recognition methods, we selected the six most representative Japanese recognition algorithms for experimental comparison. To ensure the balance of the experiments, each algorithm is trained in a separate experimental environment for modeling and tuning parameters. Experimental performance and the experimental results show that our method significantly outperforms the other methods and has better system stability.

Automatic Scoring Model of Japanese Interpretation Based on Semantic Scoring

In order to improve the current level of Japanese teaching and the difficulty of non-standard Japanese spoken language, the author proposes a method for the study of the automatic scoring model of Japanese ants for scoring. The author introduces a semantic scoring model that integrates the long short-term memory neural network and self-attention mechanism, which can be applied to keyword scoring and sentence semantic scoring. The scoring principle of the model is as follows: firstly, extract the word and sentence features and represent them in a vectorized form, then use a bidirectional long short-term memory neural network to optimize the feature vector, and then use the self-attention mechanism to obtain the semantic features of the word or sentence. Finally, the semantic score is calculated by a simple neural network. Experiments show that compared with the semantic scoring model based on a stretchable recursive autoencoder that performs better in semantic scoring, the average correlation between this model and the original score is 0.444; the lowest rate of agreement with the original score is 95%; and the highest rate of agreement with adjacent ones is 74%. The automatic scoring model for Japanese interpreting with semantic scoring is proved to be practical and has excellent results.

An Analysis of The Effective Cultivation of Students’ Oral Ability in College Japanese Teaching

An Analysis of The Effective Cultivation of Students’ Oral Ability in College Japanese Teaching

Network Interactive Application of High-Performance Computing Platform for Japanese Teaching

With the development of network technology, Japanese teaching is increasingly showing the characteristics of network, and information interaction is becoming more and more frequent. Interactive teaching is a new teaching mode under the network environment. However, traditional interactive teaching cannot meet the flexibility and dynamics of resource allocation in the network environment. In the daily Japanese teaching process, the contradiction between the students’ growing need for learning resources and the unbalanced and insufficient distribution of resources is becoming more and more acute. High-performance computing is a model of swarm computing, which can solve the contradiction between complex student needs and resource allocation. Based on this, this paper proposes a Japanese interactive teaching method based on a high-performance computing platform. Experiments show that the interactive Japanese teaching method based on HPC can effectively improve students’ Japanese performance. Among them, the scores of high-level students increased by 23.3%, and the proportion of middle-level students accounted for more than 70.9%.

Reform and Practice of College Japanese Test Mode Using Big Data Analysis

With the acceleration of economic globalization, the demand for Japanese professionals is also increasing. In view of this situation, this paper puts forward a set of college Japanese test systems. A college Japanese teaching model based on big data is established, and an improved clustering algorithm is proposed by comparing correlation analysis and data mining techniques. Aiming at the phenomenon that ACA (ant colony algorithm) cannot guarantee that all data objects are acquired and collected by ants and the same data object can be accessed repeatedly, this paper puts forward some corresponding improvements. The clustering results show that the clustering accuracy of the algorithm is 80%. This proves the rationality and feasibility of dynamically evaluating students’ achievements based on clustering algorithm, and it is of great significance to introduce data mining into the teaching environment.

An Online Japanese Teaching Mode Based on Virtual Reality

With the close cultural exchanges between China and Japan, the demand and quality of Japanese talents are gradually increasing. Traditional Japanese teaching modes and measures cannot meet the basic requirements. With the rapid development of network multimedia technology and virtual reality technology, in the process of Japanese teaching, virtual reality technology is used to reform the traditional teaching mode and to improve the quality of Japanese teaching. Based on virtual reality technology, this paper studies the online Japanese teaching mode, analyses the characteristics of Japanese teaching, combines modern information technology to assist teaching, comprehensively improves the quality of Japanese teaching, and improves the traditional Japanese teaching mode. By describing the concept, basic features, and components of the AR system in detail and by introducing the virtual construction method based on the geometric model, this paper improves the traditional Japanese teaching mode and establishes the online Japanese teaching mode. Finally, the online Japanese teaching mode for one semester is applied in colleges and universities to analyze whether this mode can improve students’ interest in Japanese learning and the effect of Japanese learning. The results show that 59% of the students using this mode expressed an increased interest in Japanese learning, while only 25.8% of the students not using this mode showed an increased interest in Japanese learning. 72% of students indicated that they could improve their oral Japanese performance after using this model, while 45% of students who did not use this model could improve their oral Japanese performance.

The Application of Experiential Teaching Mode in Japanese Teaching in Universities

The Application of Experiential Teaching Mode in Japanese Teaching in Universities

Development and Teaching Application of Japanese Corpus Based on Big Data

The establishment of English and French corpora has provided great convenience for language application and research. However, in the field of Japanese language research, the construction of Japanese corpus has been slow due to the limitation of Japanese markup format. This paper discusses the scientificity, rationality, feasibility, and construction of “microcorpus” and “specialized corpus” for the application of Japanese corpus in Japanese language teaching. Textual corpus is a corpus that contains all text but no media such as audio and pictures, and it is mostly used in teaching. The Japanese language corpus is a corpus created by analyzing the existing Japanese classroom teaching situation in response to the current reform of Japanese language teaching mode. It is important for teaching Japanese in colleges and universities because it can help students to learn independently and improve their learning initiative and motivation. The teaching-based text corpus is a small corpus for Japanese language teaching and learning, which is derived from the teaching process. The corpus can be created independently on an ordinary PC machine through software, and the collected corpus can be imported into the corpus and used, which provides another way to improve students’ interest and learning ability on their own. Based on the search software, this paper selects representative novels from the Aozora Library and creates a simple corpus to serve the teaching of Japanese interpretation, which improves the teaching effect. At the same time, this paper discusses the boundaries and difficulties of individual self-built corpora with a view to making breakthroughs and progress in future research and development.