A Framework for Evaluating Research on Distance Chinese Learning in UAE:What Aspects of Distance Learning Can We Study?

In 2019,the United Arab Emirates(UAE)became the first Arab country to integrate Chinese language education into its national basic education system,employing 172 Chinese language teachers and educating over 54,000 Emirati students by 2022.In response to the global pandemic,the UAE also became the first Arab nation to implement distance learning on a national scale,transitioning public schools to this mode of instruction in March 2020.However,existing research on distance Chinese learning primarily focuses on international students in Chinese universities or countries where Chinese language education is more established,and mainly targets older age groups such as university and high school students.There is currently no research dedicated to distance Chinese learning in the UAE.This paper addresses this research gap by exploring three key aspects.The first section reviews current literature on the key stakeholders and influencing factors in distance learning.The second section examines the development of distance Chinese language education and proposes an initial evaluation framework for this field.The third section analyzes the current state of distance Chinese learning in the UAE,highlighting specific issues that warrant further scholarly attention.This study serves as a valuable reference for researchers interested in advancing research on both distance learning and Chinese language education in the UAE.

Federated Graph Learning Based on Graph Distance Computing

Federated learning is a classic of privacy-preserving learning, which enables collaborative learning without sharing data. Structured data has become the mainstream of current applications, where there is a correlation between samples in the same dataset, which can be represented by a graph. Federated graph learning (FGL) is the integration of structured data into federated learning, assuming that each user has structured graph representation data and uses graph learning models for training. This article proposes an FGL algorithm based on graph distance calculation, which determines the similarity of users in terms of graph distance, then clusters users, and aggregates local models of users in the same cluster. This algorithm can adjust the number of clusters by changing the threshold (the larger the threshold, the fewer clusters and the more users in each cluster, and vice versa), thereby controlling the scope of user collaboration.

Deep reinforcement learning based integrated evasion and impact hierarchical intelligent policy of exo-atmospheric vehicles

Exo-atmospheric vehicles are constrained by limited maneuverability,which leads to the contradiction between evasive maneuver and precision strike.To address the problem of Integrated Evasion and Impact(IEI)decision under multi-constraint conditions,a hierarchical intelligent decision-making method based on Deep Reinforcement Learning(DRL)was proposed.First,an intelligent decision-making framework of“DRL evasion decision”+“impact prediction guidance decision”was established:it takes the impact point deviation correction ability as the constraint and the maximum miss distance as the objective,and effectively solves the problem of poor decisionmaking effect caused by the large IEI decision space.Second,to solve the sparse reward problem faced by evasion decision-making,a hierarchical decision-making method consisting of maneuver timing decision and maneuver duration decision was proposed,and the corresponding Markov Decision Process(MDP)was designed.A detailed simulation experiment was designed to analyze the advantages and computational complexity of the proposed method.Simulation results show that the proposed model has good performance and low computational resource requirement.The minimum miss distance is 21.3 m under the condition of guaranteeing the impact point accuracy,and the single decision-making time is 4.086 ms on an STM32F407 single-chip microcomputer,which has engineering application value.

The Influence of Academic Self-Efficacy on Learning Engagement in Online Education in China:The Mediating Role of Effort

The shift towards online intelligent learning has become the norm in education and is now a fundamental part of modern educational activities.However,this new model can influence students’learning behavior and lead to changes in their approach to learning.Based on online intelligent learning,we investigated how the academic self-efficacy of nursing students affects their engagement with learning and explored the role of academic attribution as a mediator.Five hundred fifty-three nursing college students from Hebei and Hunan provinces in China participated in the online questionnaire.The results revealed that effort plays a mediating role in the relationship between academic self-efficacy and learning engagement.

An Investigation on the Influence of Middle School Students'Grammar Learning Self-efficacy on Their Learning Performance

In middleschool English teaching,grammar instruction has always been an important and challenging aspect.Due to the strong influence of grammar explanation in Chinese,learning English grammar may be affected by negative transfer from their native language,which could pose certain obstacles to English acquisition.Self-efficacy,as a major emotional factor influencing learners'internal regulation strategies,has attracted wide attention from researchers both domestically and internationally for its impact on learning performance.High self-efficacy helps learners develop a more positive mindset towards learning,thereby contributing to improved learning performance.Therefore,this study focuses on investigating the relationship between grammatical self-efficacy and learning performance of English grammar among middle school students.This research contributes to a complementary understanding of grammatical self-efficacy among educators,enhancing their teaching skills,and effectively guiding students to learn English grammar with a more positive and healthy mindset,presenting a future grammar instruction in middle school English teaching.

Development and Evaluation of a Distance Learning System Based on CSCW

This paper described a distance learning system, which allows Internet users to conduct a lesson in real time from any kinds attached computers. Participants can jointly view and edit relevant multimedia information distributed through Internet. Teachers and students can also simultaneously communicate by voice and text to discuss the problems. Teacher can broadcast streaming PowerPoint presentation in real time to network users. In addition to sliders, presenters can broadcast video and audio simultaneously to deliver a live multimedia show online, and store their presentations for on demand playback. Teachers distributed in different places can also use cooperative editing tool to edit and encode existing digital content. We discussed some important design principles of the system. Then, the system configuration and the results of evaluation are also presented. The system has proved to be applicable to the distance learning based on CSCW (Computer Support Cooperative Work) in Internet.

Detection of Learner’s Concentration in Distance Learning System with Multiple Biological Information

The trend of distance learning education has increased year by year because of the rapid advancement of information and communication technologies. Distance learning system can be regarded as one of ubiquitous computing applications since the learners can study anywhere even in mobile environments. However, the instructor cannot know if the learners comprehend the lecture or not since each learner is physically isolated. Therefore, a framework which detects the learners’ concentration condition is required. If a distance learning system obtains the information that many learners are not concentrated on the class due to the incomprehensible lecture style, the instructor can perceive it through the system and change the presentation strategy. This is a context-aware technology which is widely used for ubiquitous computing services. In this paper, an efficient distance learning system, which accurately detects learners’ concentration condition during a class, is proposed. The proposed system uses multiple biological information which are learners’ eye movement metrics, i.e. fixation counts, fixation rate, fixation duration and average saccade length obtained by an eye tracking system. The learners’ concentration condition is classified by using machine learning techniques. The proposed system has performed the detection accuracy of 90.7% when Multilayer Perceptron is used as a classifier. In addition, the effectiveness of the proposed eye metrics has been confirmed. Furthermore, it has been clarified that the fixation duration is the most important eye metric among the four metrics based on the investigation of evaluation experiment.

A Reliable Adaptive High-Definition Transmission System for Distance Learning

There is an increasing demand for supporting high-quality real-time audiovisual services for the next generation wired and wireless networks. However, due to variety of bandwidths of different networks, it is a great challenge for deployment. In this paper, a novel high-definition (HD) video transmission system was proposed which depends upon reliable compound multicast protocols and QoS control over the various kinds of networks. This system detects client's network condition and assigns it to a proper proxy. Each proxy is capable of detecting network parameters and adaptively tuning such transport parameters as bit rate, video resolution, frame rate and QoS mechanisms to this condition. It also provides FEC error recovery under consideration of characteristics of MPEG4 video codec. Our simulation demonstrates that different network clients such as ADSL, CERNET, and CERNET2 can receive more video reliability with less delay.

Study on Distance Learning Support Services Strategy Based on Effective Interaction

Achieving effective interaction can the students get good learning results,and enhance the quality of distance learning.The paper firstly analyzes the research on distance learning support services and the problems of distance learning interaction in order to clarify the significance of implementing effective interaction.Then it puts forward the learning support services strategies based on effective interaction,which means to promote distance learning interaction and enhance the students'self-learning ability.

LoColms： an innovative approach of enhancing traditional classroom form of education by promoting web-based distance learning in the poorer countries

There have been numerous attempts recently to promote technology based education (Shrestha, 1997) in the poorer third world countries, but so far all these have not provided a sustainable solution as they are either centered and controlled from abroad and relying solely on foreign donors for their sustenance or they are not web-based, which make distribution problematic, and some are not affordable by most of the local population in these places. In this paper we discuss an application, the Local College Learning Management System (LoColms) , which we are developing, that is both sustainable and economical to suit the situation inthese countries. The application is a web-based system, and aims at improving the traditional form of education by empowering the local universities. Its economicability comes from the fact that it is supported by traditional communication technology, the public switching telephone network system, PSTN, which eliminates the need for packet switched or dedicated private virtual networks (PVN) usually required in similar situations. At a later stage, we shall incorporate ontology and paging tools to improve resource sharability and storage optimization in the Proxy Caches (ProCa) and LoColms servers. The system is based on the client/server paradigm and its infrastructure consists of the PSTN, ProCa, with the learning centers accessing the universities by means of point-to-point protocol (PPP) .

A Culturally-Sensitive Model for CME Distance Learning Demonstratesa Way Forward： Kenya＇s Experience with ACME-IT （Advancing Continuing Medical Education Through Information Technology）

A distance learning Continuing Medical Education （CME） project based on live interactive presentations and a group participatory model demonstrated that important strides can be made in the quality of CME available to health care professionals in African rural settings. Implementers choose a communication model consistent with the fundamental orality of Kenyan and other sub-Saharan African countries. The project involved four hospitals and one training institution in rural Kenya. The testing of learners and focus group discussions with learners, facilitators and presenters indicated that the project＇s methodologies, that strove to be culturally and work place friendly, contributed to gains in knowledge, competencies including case management, the continuity of patient care, team work, staff morale and other issues of expressed importance to the hospital healthcare work force and hospital administrators. The learning system, known as Advancing Continuing Medical Education through Information Technology （ACME-IT）, was implemented by the Kenyan Ministry of Medical Services, EC Associates and the US-funded Aphia2 Western initiative implemented by PATH. The findings of this pilot suggests that the ACME-IT methodology that set up learning centers at the participating institutions is a promising viable alternative to the traditional and relatively expensive workshop training that characterizes much of CME in lower and middle income countries.

Inspiration from Comparative Study of Distance-education Learning Support Services of China and UK

The theory and practice of OUUK learning support service has been widely praised, from the study of composition and dominantof OUUK learning support service system, and as Jiangyin Open Studying center, Wuxi, Jiangsu example, in-depth investigation and analysis ofthe present situation of China＇s distance-education learning support services, explore the reference value of the successful experience of OUUKand inspiration to the distance education in China.

The Influence of Distance Cue on Learning andMetacognitive Monitoring in Classroom

The teaching context is highly related to student’s learning process and the corresponding performance. The current study exploredthe influence of distance cue (the front seats or the back seats in a classroom) on individual’s metacognition and performance. Theresults showed that participants seated in the front seats had higher JOLs and better perform than those in the back seats, and seatinghabits seem to have little impact on these scores. However, this superiority is only related to the participants who believed in that“position of the seat affects learning performance”. The results demonstrated that cognitive process and metacognitive process areaffected by the distance cues in the classroom. Importantly, individual’s belief plays a moderating role.

Extracts of Children’s Books as a Basis for Creative Writing Activities Within the Framework of Distance Learning:An Elementary School Case Study

Literature can be used in education as basis for creative writing activities not only in traditional classroom learning but also in distance learning.The purpose of this study was to evaluate the effects of a four-month online creative writing program on the utilization of literary texts in elementary school through collaborative activities.The research sample consisted of 15 students of the 5th grade of elementary school.Evaluation of program activities was performed by completing a structured improvised questionnaire on the asynchronous education platform“e-class”of the Panhellenic School Network,where students were asked to fill in fields regarding(a)literary excerpts,(b)creative writing activities,and(c)online groups.Based on the results,students responded in a positive manner to the use of literature in the context of online collaborative writing groups.The majority of students expressed their satisfaction both with regard to the creative writing activities,having literary excerpts as a stimulus,but also with regard to the effectiveness of online groups.In conclusion,it seems that literature can be used creatively through playful group creative writing activities and distance learning.

The Model of Open and Distance Learning for Teaching Indonesian Through Socio-Cultural Approach and Psychological Aspects to Students of Indonesian for Foreign

This study aims to find out the effect of the model of ODL （Open and Distance Learning） for teaching Indonesian for foreign and whether this model of ODL implements socio-cultural and psychological approaches. The students＇ learning of Indonesian for foreign is in so many aspects that it must be considered from both psychological aspects of students＇ language and cultural aspects. The research was carried out on foreign students＇ studying Indonesian language. The research method used action research. ODL model developed this concerning how the students are anxious in foreign language learning and language use in accordance with Indonesian culture. The model of ODL for teaching foreign Indonesian uses the Internet facilities such as email, Skype, VolP, Google Talk, circulating document with comments, chat, forum, CD, audio-video, stream media player, and e-learning system. Based on the results of this study which is that students study the model ODL for teaching Indonesian through socio-cultural approach and psychological aspects and students of Indonesian for foreign improve their ability to use the Indonesian language, students are able to converse fluently in Indonesian in accordance with Indonesian culture

Topological distance-constrained feature descriptor learning model for vessel matching in coronary angiographies

Background Feature matching technology is vital to establish the association between virtual and real objects in virtual reality and augmented reality systems.Specifically,it provides them with the ability to match a dynamic scene.Many image matching methods,of which most are deep learning-based,have been proposed over the past few decades.However,vessel fracture,stenosis,artifacts,high background noise,and uneven vessel gray-scale make vessel matching in coronary angiography extremely difficult.Traditional matching methods perform poorly in this regard.Methods In this study,a topological distance-constrained feature descriptor learning model is proposed.This model regards the topology of the vasculature as the connection relationship of the centerline.The topological distance combines the geodesic distance between the input patches and constrains the descriptor network by maximizing the feature difference between connected and unconnected patches to obtain more useful potential feature relationships.Results Matching patches of different sequences of angiographic images are generated for the experiments.The matching accuracy and stability of the proposed method is superior to those of the existing models.Conclusions The proposed method solves the problem of matching coronary angiographies by generating a topological distance-constrained feature descriptor.

Research on Autonomous Learning in Translation Teaching for English Majors Based on Distance Education

The study is based on a new translation training model-a di-process-controlled training model to study the effects of autonomous learning in a distance translation classroom. The author carried out an empirical study by using the collected data from a one-year-long distance translation classroom of 318 learners, including qualitative analysis on questionnaires and a case study. The results shows that autonomous learning is effective to improve the transaction proficiency and enhance learners learning motivation of distance translation.

The Application of E-learning and Distance Learning Technologies to Crew Education and Training in the Russian Federation

The article examines the world experience of e-learning as well as distance education technologies within the education process organization on higher and post-higher education programs.There have been listed the results of the most popular e-learning platforms analysis.Furthermore,there have been looked through the core legislative background of the development of the mentioned technologies in Russia and worldwide among the universities,specialized in seafarers training.There have been also drawn up the points of the Admiral Makarov State University of Maritime and Inland Shipping(Admiral Makarov SUMIS)design of the distance education system LMS"FARWATER"in compliance with the International Convention on Standards of Training,Certification and Watchkeeping for Seafarers(STCW Convention).The practical application of distance education system to the advanced professional training has been discussed in the article.

A Regional Comparative Study of Distance Learning MBA Programmes in Selected Asian Countries

Distance learning MBA programmes have increased tremendously in the past decade in selected Asian countries. This paper uses a stakeholders approach to conduct research on distance learning MBA programmes in Asian. Conclusions of the research are then given.