Research on the construction of TCFL resource database system based on artificial intelligence

2021 ◽  
pp. 1-12
Author(s):  
Yanling Li
Keyword(s):  
Artificial Intelligence ◽  
Foreign Language ◽  
Database System ◽  
Future Research ◽  
Multimedia Database ◽  
Teaching Resources ◽  
Teaching Resource ◽  
Teaching Objectives ◽  
Artificial Intelligence Technology ◽  
Teaching Chinese

The teaching resource bank is very important for the education of linguistics. In the construction of teaching Chinese as a foreign language, we should first build a teaching resource library. Only in this way can we meet the requirements of the Ministry of education and achieve better teaching objectives. The purpose of the construction of teaching resources database is to make the teaching resources can be systematically and scientifically planned, stored in the computer in the form of data, and can be directly extracted from the computer when necessary, so as to realize the efficient utilization of resources. Based on the existing problems of teaching Chinese as a foreign language, this paper puts forward some suggestions on the construction of teaching resource database. In recent years, the rise of artificial intelligence technology provides a new idea for the establishment of teaching resource database. According to the basic idea of artificial intelligence, scientists have established a new database of teaching Chinese as a foreign language, updated and improved the original database, and established a new standard for teaching database according to the characteristics of artificial intelligence technology. A teaching resource database system based on teaching resources and artificial intelligence is established. The system is divided into data layer, logic layer and presentation layer. Artificial intelligence is used as a bridge connecting different parts. In the process of establishing the multimedia database of TCFL, we should develop in all aspects, and pave the way for the future research after laying a solid foundation of data.

scholarly journals Connotation Analysis and Paradigm Shift of Teaching Design under Artificial Intelligence Technology

2021 ◽  
Vol 16 (05) ◽  
pp. 73
Author(s):  
Jian Huang ◽  
Gang Shen ◽  
Xiping Ren
Keyword(s):  
Artificial Intelligence ◽  
Paradigm Shift ◽  
Learning Ability ◽  
Teaching Activities ◽  
Learning Efficiency ◽  
Teaching Objectives ◽  
Teaching Design ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
Teaching Efficiency

The influence of artificial intelligence technology on teaching design is explored to improve teaching efficiency. First, artificial intelligence is introduced and its impacts on teaching design are analyzed. Second, the connotation of the paradigm of teaching design and the paradigm shift for teaching design are explored using the paradigm shift analysis framework. Finally, the changes in teaching design under artificial intelligence are analyzed, and the impacts of artificial intelligence on teaching activities are investigated. The results show that the application of artificial intelligence technology has led to different levels of change in the six elements of teaching design, including teaching objectives, service objects (teachers and students), teaching content, teaching media, teaching environment, and teaching evaluation. The connotation and paradigm shift of the teaching design are introduced from the four elements based on the artificial intelligence technology. It is found that artificial intelligence technology can enhance the learning ability and cognitive ability of students to a certain extent while improving the teaching efficiency and learning efficiency. The investigation proves that the teaching design based on artificial intelligence technology can be applied to teaching activities, thereby improving the learning efficiency of students and the teaching efficiency of teachers.

scholarly journals El Cómic En La Clase De Ele: Las Actitudes De Los Estudiantes De Profesorado Y Algunas Repercusiones

2017 ◽  
Vol 13 (28) ◽  
pp. 282
Author(s):  
Laurent-Fidèle Sossouvi
Keyword(s):  
Foreign Language ◽  
Positive Attitude ◽  
Target Language ◽  
Foreign Languages ◽  
Future Research ◽  
Teaching Material ◽  
Educational Resource ◽  
Teaching Resource ◽  
Educational Potential ◽  
Analyze Data

Many researchers have considered comics as an excellent educational resource, pointing out to its advantages and its great educational potential. As a result, few authors have investigated the attitudes of students towards comics and they are rarely used as a teaching material in Benin in the learning of foreign languages. In this study, we aim to examine the attitudes of Beninese students of Spanish as a Foreign Language towards comic, as well as offer a reflection on some of the possibilities that can bring this teaching resource. In doing this, we analyze data from 25 participants which was obtained from a questionnaire, interviews, and tasks around the comic. Conclusions show that: (a) most participants showed a positive attitude towards comics and are highly motivated; (b) the use of comics contributed to improving their linguistic and intercultural communicative competences, as well as revitalized the learning of the target language. Finally, the paper concludes by pointing out the study’s implications and limitations, and offering suggestions for future research opportunities.

scholarly journals Emotional Expression of #body on Instagram

2020 ◽  
Vol 6 (2) ◽  
pp. 205630512092477 ◽  
Author(s):  
Clelia Malighetti ◽  
Simona Sciara ◽  
Alice Chirico ◽  
Giuseppe Riva
Keyword(s):  
Artificial Intelligence ◽  
Body Image ◽  
Emotional Expression ◽  
Image Representation ◽  
Future Research ◽  
Discrete Emotions ◽  
Emotional Model ◽  
Artificial Intelligence Technology ◽  
Program Interface

Our aim was to explore emotions in Instagram images marked with hashtags referring to body image–related components using an artificial intelligence–based discrete emotional analysis. A total of 500 Instagram photos marked by specific hashtags related to body image components were analyzed and specific discrete emotions expressed in each picture were detected using the Emotion application program interface API from Microsoft Azure Cognitive Service. Results showed that happiness and neutrality were the most intense and recognizable emotions expressed in all images. Happiness intensity was significantly higher in images with #bodyimage and #bodyconfidence and higher levels of neutral emotion were found in images tagged with #body, #bodyfitness, and #thininspirational. This study integrated a discrete emotional model with the conventional dimensional one, and offered a higher degree of granularity in the analysis of emotions–body link on Instagram through an artificial intelligence technology. Future research should deepen the use of discrete emotions on Instagram and the role of neutrality in body image representation.

Multimedia and Multi-Stream Synchronization

2002 ◽  
pp. 246-261
Author(s):  
Fuhua Lin
Keyword(s):  
Database Systems ◽  
Database System ◽  
Future Research ◽  
Multimedia Database ◽  
Distributed Multimedia ◽  
Time Uncertainty ◽  
Design And Implementation ◽  
Synchronization Mechanisms ◽  
Stream Synchronization ◽  
Multimedia Database System

Synchronization is an important aspect of the design and implementation of distributed multimedia database systems. In this chapter, we first examine the models that have been proposed in the literature to specify multimedia and multi-stream synchronization and the methods to implement synchronization mechanisms in distributed multimedia database systems. Their strengths and limitations have been compared, and the issues about time uncertainty and interactivity in multimedia and multi-stream synchronization specification and implementation are discussed. Moreover, we use an example to show how to incorporate a synchronization agent into a distributed multimedia database system. Finally, we discuss the trend of future research and development of this topic.

scholarly journals Application of Artificial Intelligence in Diagnosis of Craniopharyngioma

2022 ◽  
Vol 12 ◽  
Author(s):  
Caijie Qin ◽  
Wenxing Hu ◽  
Xinsheng Wang ◽  
Xibo Ma
Keyword(s):  
Artificial Intelligence ◽  
Clinical Diagnosis ◽  
Great Influence ◽  
Imbalanced Data ◽  
Learning Model ◽  
Future Research ◽  
Data Set ◽  
Congenital Brain Tumor ◽  
Pituitary Dysfunction ◽  
Artificial Intelligence Technology

Craniopharyngioma is a congenital brain tumor with clinical characteristics of hypothalamic-pituitary dysfunction, increased intracranial pressure, and visual field disorder, among other injuries. Its clinical diagnosis mainly depends on radiological examinations (such as Computed Tomography, Magnetic Resonance Imaging). However, assessing numerous radiological images manually is a challenging task, and the experience of doctors has a great influence on the diagnosis result. The development of artificial intelligence has brought about a great transformation in the clinical diagnosis of craniopharyngioma. This study reviewed the application of artificial intelligence technology in the clinical diagnosis of craniopharyngioma from the aspects of differential classification, prediction of tissue invasion and gene mutation, prognosis prediction, and so on. Based on the reviews, the technical route of intelligent diagnosis based on the traditional machine learning model and deep learning model were further proposed. Additionally, in terms of the limitations and possibilities of the development of artificial intelligence in craniopharyngioma diagnosis, this study discussed the attentions required in future research, including few-shot learning, imbalanced data set, semi-supervised models, and multi-omics fusion.

scholarly journals A Review of Auditors’ GCOs, Statistical Prediction Models and Artificial Intelligence Technology

2019 ◽  
Vol 2 (1) ◽  
pp. 19-31
Author(s):  
Bahaaeddin Alareeni
Keyword(s):  
Artificial Intelligence ◽  
Prediction Models ◽  
Professional Competence ◽  
Bankruptcy Prediction ◽  
Statistical Prediction ◽  
Future Research ◽  
Comprehensive Overview ◽  
Time Period ◽  
Artificial Intelligence Technology ◽  
Audit Program

The main aim of this study is to give an overview of literature in the accounting and finance regarding the performance of Auditors’ GCOs, Statistical Failure Prediction Models (SFPMs) and Artificial Intelligence Technology (AIT). The study reviews the accounting and finance literature regarding (SFPMs) and presents the most important types of SFPMs and AIT that have been developed to evaluate a company’s financial position from 1968 to date. The study focuses on studies that compare the relative performance of auditors’ GCOs with SFPMs and AIT. Our findings illustrated that SPFMs and AIT are better in predicting companies’ failure than auditors’ GCOs. We found that the prediction power of SFPMs is in many instances very high. Their accuracy differed from one model to another, depending on several factors such as industry, time period and economic environment. The most commonly used and accurate models are the Altman models, logit models and neural networks models, although overall the NNs models produce better results. We found that SFPMs and AIT can be very useful to users when assessing a company’s future position. Incorporating the use of SFPMs and AIT in the audit program can provide further evidence that the auditors exerted professional competence and due care. This study provides a comprehensive overview of research on Auditors’ GCOs, SFPMs and AIT. The study provides a clear picture of the best tools used in failure/bankruptcy prediction in last decades. Thus, it is an aid to future research in the area.

scholarly journals Design and Development of Educational Robot Teaching Resources Using Artificial Intelligence Technology

2021 ◽  
Vol 16 (05) ◽  
pp. 116
Author(s):  
Suo Huang
Keyword(s):  
Artificial Intelligence ◽  
Primary School ◽  
Classroom Practice ◽  
Teaching Practice ◽  
Teaching Resources ◽  
English Teaching ◽  
Teaching Reform ◽  
Artificial Intelligence Technology ◽  
Educational Robot ◽  
Teaching Curriculum

To further innovate English teaching reform and promote the optimization and development of intelligent and innovative English teaching resources, an intelligent educational robot has been developed based on the current vigorous development of artificial intelligence educational robot technology. In addition, a set of educational robot assisted teaching curriculum resources is designed based on the robot, which is applied in primary school English teaching practice, and has achieved good application effect. The research shows that the robot can complete the functions of English vocabulary teaching, role play and free dialogue, and can further improve students' attention and initiative in classroom practice. The results of the questionnaire survey show that the teaching curriculum based on educational robot has higher scores in the completion of teaching objectives, the design of teaching content, the fluency of teaching links and the innovation of teaching process, which is superior to the traditional English teaching. This exploration provides important case data and theoretical basis for primary school English teaching reform, and it is of great significance to further innovate educational resources and promote teaching reform.

scholarly journals Application of artificial intelligence in human resource management in the agricultural sector

2021 ◽  
Vol 258 ◽  
pp. 01010
Author(s):  
Svetlana Evseeva ◽  
Oksana Evseeva ◽  
Andrei Burmistrov ◽  
Maria Siniavina
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Agricultural Sector ◽  
Future Research ◽  
Wide Range ◽  
Artificial Intelligence Technology ◽  
Future Research Directions ◽  
Management Functions

Digitalization of all spheres of life has become one of the main directions of development in many countries of the world. Artificial intelligence technology has a wide range of applications in various fields. The study aims to identify artificial intelligence usage in human resource management by analysing functions. Qualitative methods are used in the study. As the result, artificial intelligence tools were analysed by matching them on human resource management functions: recruitment, onboarding, assessment, training and development, talent management, salary system, culture and engagement management, management and leadership, misconduct and compliance. Artificial intelligence technologies provide many opportunities for modern companies. Study in detail companies using AI in HR functions and possible changes in the HR manager profession and role of HR in business are future research directions.

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