English online learning has been common trend in the world, how to teach and learn effectively in EFL classes through online environment is an urgent study. The purpose of the study to analyze the factors of affecting...English online learning has been common trend in the world, how to teach and learn effectively in EFL classes through online environment is an urgent study. The purpose of the study to analyze the factors of affecting the effectiveness of online teaching and learning in EFL classes in college. We build up a three-dimensional model in the perspective of teacher, learner and technology. And we propose the strategies of improving the effectiveness of online teaching and learning in EFL classes in college in the dimensions of teacher, learner and technology.展开更多
In the context of internationalization,China-UK Joint Education Programs are receiving increasing attention from universities.Based on the difficulties faced in China-UK Joint Education Program,this paper adopts a que...In the context of internationalization,China-UK Joint Education Programs are receiving increasing attention from universities.Based on the difficulties faced in China-UK Joint Education Program,this paper adopts a questionnaire survey method to study the learning effectiveness of students majoring in digital media technology in the China-UK Joint Education Program at Guangxi University of Finance and Economics,focusing on four aspects:learning materials,learning content,teacher conditions,and student learning outcomes.The research analysis in this paper not only provides strong support for the construction of China-UK Joint Education Program but also offers references for other China-UK Joint Education Programs.展开更多
The objective of this case study is to compare the satisfaction of online educational experience with traditional one from the perspective of Community of Inquiry theory.It compares the teaching effects of this online...The objective of this case study is to compare the satisfaction of online educational experience with traditional one from the perspective of Community of Inquiry theory.It compares the teaching effects of this online instruction with traditional class through cognitive presence,social presence and teaching presence which are 3 influencers in deciding the quality of distance learning and teaching.A survey to 40 undergraduates and 45 graduates and 28 teachers were conducted for this purpose.The key finding of the research is that the online teaching model is comparatively functional and efficient for both students and teachers comparing with traditional classes.Cognitive presence is more prominent among 2 student cohort and social presence varies among undergraduates and graduates.The teacher’s response in the three presences are a bit more pessimistic than that of two groups of students.This result would bring some implications for future online synchronous learning and teaching and blended instruction.展开更多
In recent years, digital investment portfolios have become a significant area of interest in the field of machine learning. To tackle the issue of neglecting the momentum effect in risk asset prices within the follow-...In recent years, digital investment portfolios have become a significant area of interest in the field of machine learning. To tackle the issue of neglecting the momentum effect in risk asset prices within the follow-the-winner strategy and to evaluate the significance of this effect, a novel measure of risk asset price momentum trend is introduced for online investment portfolio research. Firstly, a novel approach is introduced to quantify the momentum trend effect, which is determined by the product of the slope of the linear regression model and the absolute value of the linear correlation coefficient. Secondly, a new investment portfolio optimization problem is established based on the prediction of future returns. Thirdly, the Lagrange multiplier method is used to obtain the analytical solution of the optimization model, and the soft projection optimization algorithm is used to map the analytical solution to obtain the investment portfolio of the model. Finally, experiments are conducted on five benchmark datasets and compared with popular investment portfolio algorithms. The empirical findings indicate that the algorithm we are introduced is capable of generating higher investment returns, thereby establishing its efficacy for the management of the online investment portfolios.展开更多
随着教育数字化转型的推进,在线项目式学习的应用愈加广泛。然而,学界对于在线项目式学习的效果以及如何设计更为有效的问题存在争议。对此,笔者全面检索了中国知网、万方、维普以及Web of Science、Science Direct等中外文数据库,获取...随着教育数字化转型的推进,在线项目式学习的应用愈加广泛。然而,学界对于在线项目式学习的效果以及如何设计更为有效的问题存在争议。对此,笔者全面检索了中国知网、万方、维普以及Web of Science、Science Direct等中外文数据库,获取了2000—2024年共31篇在线项目式学习实证研究,并进行了Meta分析。结果显示:在线项目式学习对学生学习效果的合并效应量达到中等偏上水平(Cohen’s d=0.688),这表明在线项目式学习模式对学习成效的促进作用达到中上等程度;在线项目式学习的成效在不同学段、学科和学习支架类型上的差异无统计学意义(均P>0.05),但在不同实验周期(P<0.001)、交互方式(P=0.008)和学习支架数量(P=0.005)上的差异有统计学意义,即当实验周期大约在3个月时,在线项目式学习的效果最好,而6个月以上的在线项目式学习效果最弱;在线项目式学习过程中,同步教学效果优于异步教学;提供3种或5种学习支架对学习成效的促进效果最好,而提供6种学习支架对学习成效的提升效果较弱。研究总结了有效的在线项目式学习设计所应遵循的共同原则,并从在线项目式学习的环境设计、师生交互、学习支架和学习评价等方面为一线实践者开展在线项目式学习提出了具体可操作的建议。展开更多
With the in-depth development of internet plus education and the COVID-19 pandemic,online learning has become a universal teaching method in the world.However,the issue of superficial and low-quality in online learnin...With the in-depth development of internet plus education and the COVID-19 pandemic,online learning has become a universal teaching method in the world.However,the issue of superficial and low-quality in online learning is still widespread.From the internal and external conditions of online deep learning,this study reveals the theory mechanism of how the online learning environment and teacher support,as external conditions,affect students’emotions and learning motivation,and then affect students’internal learning state.On this basis,an online deep teaching model is constructed,which consists of three stages:online asynchronous self-study before class,online synchronous live broadcasting teaching in class,and online asynchronous expansion after class.Meanwhile,a one-term long online teaching practice is carried out in the course named the Instructional System Design.The results show that,in the learning process level,the online deep teaching model can effectively improve students’online learning engagement,promote students to use deep learning methods and deep learning motivation to learn,and enhance the depth of online interaction between students.At the level of learning results,students’critical thinking and online academic performance 9 have been significantly improved.展开更多
Based on the concept of learning stickiness,this study constructed a model of influencing factors among the elements of online learning content,interaction,incentive,satisfaction,and learning stickiness from Comprehen...Based on the concept of learning stickiness,this study constructed a model of influencing factors among the elements of online learning content,interaction,incentive,satisfaction,and learning stickiness from Comprehensive Learning Theory.Structural equation modeling was used to analyze the interaction and influence effects among the factors.It is found that the content,interaction,and incentive in Comprehensive Learning Theory had a significant positive impact on learning stickiness from the total effect analysis.From the direct effect analysis,the influence of content and interaction on learning stickiness was not substantial,but the influence of incentive and satisfaction on learning stickiness was significant.From the perspective of mediation effect analysis,incentive and satisfaction were critical mediating variables for the influence of content and interaction on learning stickiness.This study put forward suggestions and strategies for online teaching,providing a reference for teachers to carry out online education.展开更多
Different types of pandemics that have appeared from time to time have changed many aspects of daily life.Some governments encourage their citizens to use certain applications to help control the spread of disease and...Different types of pandemics that have appeared from time to time have changed many aspects of daily life.Some governments encourage their citizens to use certain applications to help control the spread of disease and to deliver other services during lockdown.The Saudi government has launched several mobile apps to control the pandemic and have made these apps available through Google Play and the app store.A huge number of reviews are written daily by users to express their opinions,which include significant information to improve these applications.The manual processing and extracting of information from users’reviews is an extremely difficult and time-consuming task.Therefore,the use of intelligent methods is necessary to analyse users’reviews and extract issues that can help in improving these apps.This research aims to support the efforts made by the Saudi government for its citizens and residents by analysing the opinions of people in Saudi Arabia that can be found as reviews on Google Play and the app store using sentiment analysis and machine learning methods.To the best of our knowledge,this is the first study to explore users’opinions about governmental apps in Saudi Arabia.The findings of this analysis will help government officers make the right decisions to improve the quality of the provided services and help application developers improve these applications by fixing potential issues that cannot be identified during application testing phases.A new dataset used for this research includes 8000 user reviews gathered from social media,Google Play and the app store.Different methods are applied to the dataset,and the results show that the k nearest neighbourhood(KNN)method generates the highest accuracy compared to other implemented methods.展开更多
文摘English online learning has been common trend in the world, how to teach and learn effectively in EFL classes through online environment is an urgent study. The purpose of the study to analyze the factors of affecting the effectiveness of online teaching and learning in EFL classes in college. We build up a three-dimensional model in the perspective of teacher, learner and technology. And we propose the strategies of improving the effectiveness of online teaching and learning in EFL classes in college in the dimensions of teacher, learner and technology.
基金Guangxi Key Laboratory of Financial Big Data Fund Project(Guikejizi[2021]No.5)Research on the Innovation of Teaching Models for Foreign Professional Courses in China-UK Joint Education Under the Background of Internationalization-Taking Guangxi University of Finance and Economics as an Example(2023XJJG26)Exploration and Practice of Digital Media Technology Talent Training Models in the Context of New Productive Forces(XGK202423)。
文摘In the context of internationalization,China-UK Joint Education Programs are receiving increasing attention from universities.Based on the difficulties faced in China-UK Joint Education Program,this paper adopts a questionnaire survey method to study the learning effectiveness of students majoring in digital media technology in the China-UK Joint Education Program at Guangxi University of Finance and Economics,focusing on four aspects:learning materials,learning content,teacher conditions,and student learning outcomes.The research analysis in this paper not only provides strong support for the construction of China-UK Joint Education Program but also offers references for other China-UK Joint Education Programs.
文摘The objective of this case study is to compare the satisfaction of online educational experience with traditional one from the perspective of Community of Inquiry theory.It compares the teaching effects of this online instruction with traditional class through cognitive presence,social presence and teaching presence which are 3 influencers in deciding the quality of distance learning and teaching.A survey to 40 undergraduates and 45 graduates and 28 teachers were conducted for this purpose.The key finding of the research is that the online teaching model is comparatively functional and efficient for both students and teachers comparing with traditional classes.Cognitive presence is more prominent among 2 student cohort and social presence varies among undergraduates and graduates.The teacher’s response in the three presences are a bit more pessimistic than that of two groups of students.This result would bring some implications for future online synchronous learning and teaching and blended instruction.
文摘In recent years, digital investment portfolios have become a significant area of interest in the field of machine learning. To tackle the issue of neglecting the momentum effect in risk asset prices within the follow-the-winner strategy and to evaluate the significance of this effect, a novel measure of risk asset price momentum trend is introduced for online investment portfolio research. Firstly, a novel approach is introduced to quantify the momentum trend effect, which is determined by the product of the slope of the linear regression model and the absolute value of the linear correlation coefficient. Secondly, a new investment portfolio optimization problem is established based on the prediction of future returns. Thirdly, the Lagrange multiplier method is used to obtain the analytical solution of the optimization model, and the soft projection optimization algorithm is used to map the analytical solution to obtain the investment portfolio of the model. Finally, experiments are conducted on five benchmark datasets and compared with popular investment portfolio algorithms. The empirical findings indicate that the algorithm we are introduced is capable of generating higher investment returns, thereby establishing its efficacy for the management of the online investment portfolios.
文摘随着教育数字化转型的推进,在线项目式学习的应用愈加广泛。然而,学界对于在线项目式学习的效果以及如何设计更为有效的问题存在争议。对此,笔者全面检索了中国知网、万方、维普以及Web of Science、Science Direct等中外文数据库,获取了2000—2024年共31篇在线项目式学习实证研究,并进行了Meta分析。结果显示:在线项目式学习对学生学习效果的合并效应量达到中等偏上水平(Cohen’s d=0.688),这表明在线项目式学习模式对学习成效的促进作用达到中上等程度;在线项目式学习的成效在不同学段、学科和学习支架类型上的差异无统计学意义(均P>0.05),但在不同实验周期(P<0.001)、交互方式(P=0.008)和学习支架数量(P=0.005)上的差异有统计学意义,即当实验周期大约在3个月时,在线项目式学习的效果最好,而6个月以上的在线项目式学习效果最弱;在线项目式学习过程中,同步教学效果优于异步教学;提供3种或5种学习支架对学习成效的促进效果最好,而提供6种学习支架对学习成效的提升效果较弱。研究总结了有效的在线项目式学习设计所应遵循的共同原则,并从在线项目式学习的环境设计、师生交互、学习支架和学习评价等方面为一线实践者开展在线项目式学习提出了具体可操作的建议。
文摘With the in-depth development of internet plus education and the COVID-19 pandemic,online learning has become a universal teaching method in the world.However,the issue of superficial and low-quality in online learning is still widespread.From the internal and external conditions of online deep learning,this study reveals the theory mechanism of how the online learning environment and teacher support,as external conditions,affect students’emotions and learning motivation,and then affect students’internal learning state.On this basis,an online deep teaching model is constructed,which consists of three stages:online asynchronous self-study before class,online synchronous live broadcasting teaching in class,and online asynchronous expansion after class.Meanwhile,a one-term long online teaching practice is carried out in the course named the Instructional System Design.The results show that,in the learning process level,the online deep teaching model can effectively improve students’online learning engagement,promote students to use deep learning methods and deep learning motivation to learn,and enhance the depth of online interaction between students.At the level of learning results,students’critical thinking and online academic performance 9 have been significantly improved.
文摘Based on the concept of learning stickiness,this study constructed a model of influencing factors among the elements of online learning content,interaction,incentive,satisfaction,and learning stickiness from Comprehensive Learning Theory.Structural equation modeling was used to analyze the interaction and influence effects among the factors.It is found that the content,interaction,and incentive in Comprehensive Learning Theory had a significant positive impact on learning stickiness from the total effect analysis.From the direct effect analysis,the influence of content and interaction on learning stickiness was not substantial,but the influence of incentive and satisfaction on learning stickiness was significant.From the perspective of mediation effect analysis,incentive and satisfaction were critical mediating variables for the influence of content and interaction on learning stickiness.This study put forward suggestions and strategies for online teaching,providing a reference for teachers to carry out online education.
基金The authors gratefully acknowledge Qassim University,represented by the Deanship of Scientific Research,on the financial support for this research under the number(10278-coc-2020-1-3-I)during the academic year 1441 AH/2020 AD.
文摘Different types of pandemics that have appeared from time to time have changed many aspects of daily life.Some governments encourage their citizens to use certain applications to help control the spread of disease and to deliver other services during lockdown.The Saudi government has launched several mobile apps to control the pandemic and have made these apps available through Google Play and the app store.A huge number of reviews are written daily by users to express their opinions,which include significant information to improve these applications.The manual processing and extracting of information from users’reviews is an extremely difficult and time-consuming task.Therefore,the use of intelligent methods is necessary to analyse users’reviews and extract issues that can help in improving these apps.This research aims to support the efforts made by the Saudi government for its citizens and residents by analysing the opinions of people in Saudi Arabia that can be found as reviews on Google Play and the app store using sentiment analysis and machine learning methods.To the best of our knowledge,this is the first study to explore users’opinions about governmental apps in Saudi Arabia.The findings of this analysis will help government officers make the right decisions to improve the quality of the provided services and help application developers improve these applications by fixing potential issues that cannot be identified during application testing phases.A new dataset used for this research includes 8000 user reviews gathered from social media,Google Play and the app store.Different methods are applied to the dataset,and the results show that the k nearest neighbourhood(KNN)method generates the highest accuracy compared to other implemented methods.
