Machine learning(ML)is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis,thus creating machines that can complete tasks otherwise requiring human intelligen...Machine learning(ML)is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis,thus creating machines that can complete tasks otherwise requiring human intelligence.Among its various applications,it has proven groundbreaking in healthcare as well,both in clinical practice and research.In this editorial,we succinctly introduce ML applications and present a study,featured in the latest issue of the World Journal of Clinical Cases.The authors of this study conducted an analysis using both multiple linear regression(MLR)and ML methods to investigate the significant factors that may impact the estimated glomerular filtration rate in healthy women with and without non-alcoholic fatty liver disease(NAFLD).Their results implicated age as the most important determining factor in both groups,followed by lactic dehydrogenase,uric acid,forced expiratory volume in one second,and albumin.In addition,for the NAFLD-group,the 5th and 6th most important impact factors were thyroid-stimulating hormone and systolic blood pressure,as compared to plasma calcium and body fat for the NAFLD+group.However,the study's distinctive contribution lies in its adoption of ML methodologies,showcasing their superiority over traditional statistical approaches(herein MLR),thereby highlighting the potential of ML to represent an invaluable advanced adjunct tool in clinical practice and research.展开更多
This study explores the application of deep learning(DL)to gravity research,which is a promising intersection of earth science and information science.DL provides new methods and ideas for exploring and solving proble...This study explores the application of deep learning(DL)to gravity research,which is a promising intersection of earth science and information science.DL provides new methods and ideas for exploring and solving problems related to multiple solutions and uncertainty in the study of gravity.We focus on the application of convolutional neural networks,recurrent neural networks,and other DL technologies to gravity data denoising,interpolation,anomaly inversion,field modelling,and geological interpretation.However,importantly,the application of DL to the field of gravity research is still in its initial stage.There is significant potential for development and widespread application in overcoming limitations in sample size,network framework optimization,and generalization ability.展开更多
Oncology covers a wide range of knowledge and is more difficult compared to other clinical disciplines.Therefore,it is crucial to seek an efficient teaching method for oncology education.In recent years,China’s inter...Oncology covers a wide range of knowledge and is more difficult compared to other clinical disciplines.Therefore,it is crucial to seek an efficient teaching method for oncology education.In recent years,China’s internet technology has achieved rapid development.Massive Open Online Course(MOOC),a blended learning approach based on internet technology,has strong applicability to medical education.It can not only improve teaching quality but also promote further reform of the discipline.Based on this,our study searched for relevant research at home and abroad and reviewed the implementation path of integrating MOOC and blended learning in oncology education.This provides a theoretical foundation for the innovation of oncology teaching models,improves the level of oncology teaching,and lays a solid foundation for talent reserves in oncology departments.展开更多
Foreign language anxiety is one of the factors of affecting foreign language achievement. It is negatively associated with language skill learning. This article will show some researches on foreign language anxiety fr...Foreign language anxiety is one of the factors of affecting foreign language achievement. It is negatively associated with language skill learning. This article will show some researches on foreign language anxiety from certain aspects.展开更多
The unceasing revolution of the global economy and culture boosts the revolutionary step of the educational circle.Combining the creed of The Guide of College English Teaching in 2016 with the results of investigation...The unceasing revolution of the global economy and culture boosts the revolutionary step of the educational circle.Combining the creed of The Guide of College English Teaching in 2016 with the results of investigation and survey in colleges, a research group in the Institute of Foreign Languages of Hankou University comes up with a revolutionary trial scheme on College English teaching conducted by discovery learning theory, as well as a research method of action research, which is in hope of mending the problems and shortcomings of current College English teaching.展开更多
Teacher-student collaborative assessment(TSCA)aims to address the challenges of responding to students’work in the Production-Oriented Approach:low efficiency and poor effectiveness.As part of a bigger project carrie...Teacher-student collaborative assessment(TSCA)aims to address the challenges of responding to students’work in the Production-Oriented Approach:low efficiency and poor effectiveness.As part of a bigger project carried out in a Chinese university over a period of three years,the present study explored how the teacher prepared and implemented TSCA in class,especially with a focus on how she determined the assessing objective and worked collaboratively with her students in class to achieve it,using the students’written and translated texts as examples.By adopting the dialectical research(DR)method,this paper collected qualitative data such as teaching plans,classroom recordings,and reflective journals of the teacher-researcher(the author),along with students’written drafts and translated texts.TSCA theory and classroom practice have been refined simultaneously by means of putting theory into practice and reflecting upon it.The optimized pre-class and in-class procedures may shed some light on applying TSCA to L2 classrooms.展开更多
The field of machine learning(ML)is sufficiently young that it is still expanding at an accelerating pace,lying at the crossroads of computer science and statistics,and at the core of artificial intelligence(AI)and da...The field of machine learning(ML)is sufficiently young that it is still expanding at an accelerating pace,lying at the crossroads of computer science and statistics,and at the core of artificial intelligence(AI)and data science.Recent progress in ML has been driven both by the development of new learning algorithms theory,and by the ongoing explosion in the availability of vast amount of data(often referred to as"big data")and low-cost computation.The adoption of ML-based approaches can be found throughout science,technology and industry,leading to more evidence-based decision-making across many walks of life,including healthcare,biomedicine,manufacturing,education,financial modeling,data governance,policing,and marketing.Although the past decade has witnessed the increasing interest in these fields,we are just beginning to tap the potential of these ML algorithms for studying systems that improve with experience.In this paper,we present a comprehensive view on geo worldwide trends(taking into account China,the USA,Israel,Italy,the UK,and the Middle East)of ML-based approaches highlighting the rapid growth in the last 5 years attributable to the introduction of related national policies.Furthermore,based on the literature review,we also discuss the potential research directions in this field,summarizing some popular application areas of machine learning technology,such as healthcare,cyber-security systems,sustainable agriculture,data governance,and nanotechnology,and suggest that the"dissemination of research"in the ML scientific community has undergone the exceptional growth in the time range of 2018–2020,reaching a value of 16,339 publications.Finally,we report the challenges and the regulatory standpoints for managing ML technology.Overall,we hope that this work will help to explain the geo trends of ML approaches and their applicability in various real-world domains,as well as serve as a reference point for both academia and industry professionals,particularly from a technical,ethical and regulatory point of view.展开更多
Solar cells made from perovskites have experienced rapid development as examples of third-generation solar cells in recent years. The traditional trial-and-error method is inefficient, and the search space is incredib...Solar cells made from perovskites have experienced rapid development as examples of third-generation solar cells in recent years. The traditional trial-and-error method is inefficient, and the search space is incredibly large. This makes developing advanced perovskite materials, as well as high conversion efficiencies and stability of perovskite solar cells (PSCs), a challenging task. A growing number of data-driven machine learning (ML) applications are being developed in the materials science field, due to the availability of large databases and increased computing power. There are many advantages associated with the use of machine learning to predict the properties of potential perovskite materials, as well as provide additional knowledge on how these materials work to fast-track their progress. Thus, the purpose of this paper is to develop a conceptual model to improve the efficiency of a perovskite solar cell using machine learning techniques in order to improve its performance. This study relies on the application of design science as a method to conduct the research as part of the study. The developed model consists of six phases: Data collection and preprocessing, feature selection and engineering, model training and evaluation, performance assessment, optimization and fine-tuning, and deployment and application. As a result of this model, there is a great deal of promise in advancing the field of perovskite solar cells as well as providing a basis for developing more efficient and cost-effective solar energy technologies in the future.展开更多
Based on the research on the project course theory of "integration of theory and practice" in higher vocational education and the analysis of practical teaching in colleges and universities at home and abroa...Based on the research on the project course theory of "integration of theory and practice" in higher vocational education and the analysis of practical teaching in colleges and universities at home and abroad, combined with literature research, case analysis, system theory and other research methods, the project-based teaching goal, model, content and means of "integration of doing, learning and teaching" in higher vocational education is explored, and the project-based teaching model of "Landscape Planning and Design" is discussed combined with the application of information-based teaching methods. So as to provide references for carrying out the project-based teaching in similar courses in higher vocational colleges and really achieve docking the actual post requirements with the course to provide the basis for achieving the purpose of cultivating skilled talents in higher vocational education.展开更多
The purpose of research study was to develop a theoretical relativistic framework for research in open and flexible learning environment because it is a new dimension in the field of education. Developing a theoretica...The purpose of research study was to develop a theoretical relativistic framework for research in open and flexible learning environment because it is a new dimension in the field of education. Developing a theoretical relativistic framework for any research study is first and prime step in walking on the track to reach the distinction set by the researcher. Open and flexible learning is a new trend in education, enriched with ICT-use as a basic demand of the 21st century generation in all parts of the globe. So, it requires a theoretical framework for its initiation, implementation, development and evaluation which is relatively developed and advanced from the existing framework. In any research study the literature review is carried out in order to develop, build or construct a theoretical framework. The researcher of the study has observed while attending the international conference on ODL （AAOU, 2013） that most of the studies require theoretical underpinning for ICT-use in education. The researcher assume that being a new trend in education to use ICT for teaching learning purpose; it requires conceptual clarity and theoretical background of the user and researcher, because, without theory the practice is wastage of money, time and energy and it becomes ineffective and requires relatively new conceptual development. So, the problem stated by the researcher for the study was： Developing theoretical relativistic framework for research in open and flexible learning： A new trend in educational research. The objective of the study was integrating the interrelated concepts to build a pnemonological network for identifying the constructs in ICT-rich open and flexible learning environment. The study was significant because it provided theoretical background for conducting research in ICT-use for teaching and learning through open and flexible systems; whether blended or online learning and training. The methodology used by the researcher was qualitative and interpretive because there were reviewing of literature and meta-analysis for building the framework. The data were analyzed and interpreted by the researcher for the findings and drawing conclusions. On the basis of conclusions the researcher has made suggestions and recommendations for conducting research in open and flexible learning environment by using this theoretical relativistic framework. The framework was named as Virtual Learning Environment Framework （VLEF）.展开更多
This paper analyzes the supervision activity, to which educators and teachers enrolled with AIGAM （Gordon Italian Association for the Musical Learning） are subject to every year and intends to verify the application...This paper analyzes the supervision activity, to which educators and teachers enrolled with AIGAM （Gordon Italian Association for the Musical Learning） are subject to every year and intends to verify the application of those principles expressed in the learning model of the MLT （Music Learning Theory） developed by educational psychologist E. Edwin Gordon （1989, 1999, 2000, 2001, 2007） and promoted internationally by various institutions and organizations specifically accredited. It describes the influence of the videotaped supervision on the process, functions of monitoring, and evaluation of educational practices, starting with an empirical model that has guided the interventions in a study of supervision on training aimed at consolidating and developing professional skills in music education in early childhood. This paper sought to understand： the kind of practices, interactions, communications developing during an educational actions, the existence of a consistent relationship between the principles expressed in the MLT and their application, the type and benefits of supervision performed by of video recording on stakeholders in terms of change in professional behavior, and finally whether the active supervision could be comparable with other kinds of approaches.展开更多
Objective:This study aimed to investigate the learning expectations of undergraduate nursing students regarding the flipped Health Assessment course.Methods:This descriptive,qualitative study was conducted at a medica...Objective:This study aimed to investigate the learning expectations of undergraduate nursing students regarding the flipped Health Assessment course.Methods:This descriptive,qualitative study was conducted at a medical university in Fuzhou,Fujian Province,China.An interview outline was designed based on the core dimensions of Expectation Confirmation Theory(expectation sources,expectation content,and expectation importance).Thirty second-year undergraduate nursing students who had completed first-year basic medical courses and were about to take the flipped Health Assessment course were interviewed between June and July 2022.Interview data were analyzed using qualitative content analysis.Results:Five major themes and thirteen subthemes were identified.Theme 1 was expectation sourcesperceived learning difficulties from past experiences,which included four subthemes:insufficient autonomous learning ability,confusion regarding learning methods,insufficient engagement in learning,and low professional identity.Theme 2 included knowledge and information expectations,which comprised three subthemes:knowledge to improve professional competence,knowledge to enhance academic competitiveness,and knowledge to boost self-efficacy.Theme 3 comprised logical expectations and included two subthemes:flexible teaching methods and efficient instructional tools.Theme 4,pleasure expectations,included two subthemes:vivid teaching styles and diversified teaching evaluations.Theme 5 comprised professional value expectations and included two subthemes:teachers'responsible professional attitudes and gentle emotional support.Conclusion:Students'learning expectations originate from perceived learning difficulties,such as insufficient learning autonomy and engagement,confusion about learning methods,and a lack of professional identity.They showed various learning expectations for the flipped Health Assessment course,including knowledge and information,logic,pleasure,and professional value expectations.展开更多
On the morning of May 31st,the parallel forum"Seeking Harmony without Uniformity in Mutual Learning:Diversity of Civilisations from the Sinologists'Perspective"was held in Dunhuang.The forum was hosted b...On the morning of May 31st,the parallel forum"Seeking Harmony without Uniformity in Mutual Learning:Diversity of Civilisations from the Sinologists'Perspective"was held in Dunhuang.The forum was hosted by the Chinese Association for International Understanding and organised by Beijing Language and Culture University.Leading Sinologists and Chinese culture researchers from Europe,Asia and Latin America gathered to discuss the theme of civilisational diversity and explore pathways for coexistence and mutual enrichment.展开更多
Background:With the rapid development of the world’s technology,the connection and integration between traditional medicine and modern machine learning technology are increasingly close.In this study,we aimed to anal...Background:With the rapid development of the world’s technology,the connection and integration between traditional medicine and modern machine learning technology are increasingly close.In this study,we aimed to analyze publications on machine learning in traditional medicine by using bibliometric methods and explore global trends in the field.Methods:Relevant research on machine learning in traditional medicine extracted from the Web of Science Core Collection database.Bibliometric analysis and visualization were performed using the Bibliometrix package in R software.Global trends,source journals,authorship,and thematic keywords analysis were performed in this study.Results:From 2012 to 2022,a total of 282 publications on machine learning in traditional medicine were identified and analyzed.The average annual growth rate of the publications was 13.35%.China had the largest contribution in this field(53.9%),followed by the United States(32.6%).IEEE Access had the largest number of published articles,with a total of 15 articles.Calvin Yu-Chian Chen,Xiao-juan Hu and Jue Wang were the main researchers in this field.Shanghai University of Traditional Chinese Medicine and University of California,San Francisco were the main research institutions.Conclusion:This study provides information on research trends in machine learning in traditional medicine to better understand research hotspots and future developments in this field.According to current global trends,the number of publications in this field will gradually increase.China currently dominated the field.Applied research of machine learning techniques may be the next hot topic in this field and deserves further attention.展开更多
Learning evaluation reform, an important part of the College English Teaching Reform, is not only a basis for teachers to reflect on their teaching method, to improve their teaching management, and to ensure the teach...Learning evaluation reform, an important part of the College English Teaching Reform, is not only a basis for teachers to reflect on their teaching method, to improve their teaching management, and to ensure the teaching quality, but also an effective means for students to enhance their learning efficiency and to gain sound learning effect as well. This research was intended to apply action research to the construction of multiple learning evaluation system with the aim of proving the effectiveness of the system on raising students＇ learning autonomy to find problems in the teaching, to testify the problems through questionnaire, then to design a feasible teaching strategy and carry out an experimental teaching, and finally to reflect on the whole teaching process from the perspective of how well the learner＇s learning autonomy was enhanced. The research result is valid, positively testifying the presupposition that the Multiple Evaluation System is a comprehensive one, which makes it possible to evaluate the students＇ progress in the whole learning process.展开更多
Business English-Viewing, Listening ＆ Speaking is a practical course for business English majors. Cooperative learning is the teaching mode mainly based on the group work. The author applied the cooperative learning ...Business English-Viewing, Listening ＆ Speaking is a practical course for business English majors. Cooperative learning is the teaching mode mainly based on the group work. The author applied the cooperative learning in the teaching for 10 weeks. The action research attempts to investigate the feasibility and effectiveness of cooperative learning through teaching practice, questionnaire, interview, and classroom observation. The results show that cooperative learning can improve the learning behavior, and facilitate the students＇ communicating skills展开更多
This study takes the students who intend to study for graduate students as the research object,and makes a questionnaire survey on the mathematics learning situation and learning platform of the postgraduate candidate...This study takes the students who intend to study for graduate students as the research object,and makes a questionnaire survey on the mathematics learning situation and learning platform of the postgraduate candidates.Questionnaires were distributed online and offline,and a total of 326 valid questionnaires were collected.Based on 326 questionnaires,this paper analyzes the current learning situation of mathematics in the postgraduate entrance examination and studies the strategies based on the present situation,which points out the direction for the construction of mathematics learning and communication platform based on the needs of postgraduate entrance examination.展开更多
With the rapid development of China＇s higher education, higher education, popularization of increasingly rapid pace, the future number of people receiving higher education will grow exponentially. In the rapidly grow...With the rapid development of China＇s higher education, higher education, popularization of increasingly rapid pace, the future number of people receiving higher education will grow exponentially. In the rapidly growing scale of higher education at the same time, the quality of higher education has been a cause for concern This paper analyzes the current problems in the study of college students exist, and improvement measures put forward their own proposals.展开更多
With the rapid development of China＇s higher education, higher education, popularization of increasingly rapid pace, the future number of people receiving higher education will grow exponentially. In the rapidly grow...With the rapid development of China＇s higher education, higher education, popularization of increasingly rapid pace, the future number of people receiving higher education will grow exponentially. In the rapidly growing scale of higher education at the same time, the quality of higher education has been a cause for concern~ This paper analyzes the current problems in the study of college students exist, and improvement measures put forward their own proposals.展开更多
文摘Machine learning(ML)is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis,thus creating machines that can complete tasks otherwise requiring human intelligence.Among its various applications,it has proven groundbreaking in healthcare as well,both in clinical practice and research.In this editorial,we succinctly introduce ML applications and present a study,featured in the latest issue of the World Journal of Clinical Cases.The authors of this study conducted an analysis using both multiple linear regression(MLR)and ML methods to investigate the significant factors that may impact the estimated glomerular filtration rate in healthy women with and without non-alcoholic fatty liver disease(NAFLD).Their results implicated age as the most important determining factor in both groups,followed by lactic dehydrogenase,uric acid,forced expiratory volume in one second,and albumin.In addition,for the NAFLD-group,the 5th and 6th most important impact factors were thyroid-stimulating hormone and systolic blood pressure,as compared to plasma calcium and body fat for the NAFLD+group.However,the study's distinctive contribution lies in its adoption of ML methodologies,showcasing their superiority over traditional statistical approaches(herein MLR),thereby highlighting the potential of ML to represent an invaluable advanced adjunct tool in clinical practice and research.
基金the China Geologic Survey Project(No.DD20230644)the National Natural Science Foundation of China(No.41974101)。
文摘This study explores the application of deep learning(DL)to gravity research,which is a promising intersection of earth science and information science.DL provides new methods and ideas for exploring and solving problems related to multiple solutions and uncertainty in the study of gravity.We focus on the application of convolutional neural networks,recurrent neural networks,and other DL technologies to gravity data denoising,interpolation,anomaly inversion,field modelling,and geological interpretation.However,importantly,the application of DL to the field of gravity research is still in its initial stage.There is significant potential for development and widespread application in overcoming limitations in sample size,network framework optimization,and generalization ability.
基金Mechanism of Nanotechnology-driven Polyphyllin I in Sensitizing PD-1 Monoclonal Antibody in Breast Cancer(82204922)Nanotechnology-driven Polyphyllin I Affects Mitochondrial Homeostasis via Cuproptosis and Its Mechanism in Breast Cancer Treatment(ZZ18-YQ-022)。
文摘Oncology covers a wide range of knowledge and is more difficult compared to other clinical disciplines.Therefore,it is crucial to seek an efficient teaching method for oncology education.In recent years,China’s internet technology has achieved rapid development.Massive Open Online Course(MOOC),a blended learning approach based on internet technology,has strong applicability to medical education.It can not only improve teaching quality but also promote further reform of the discipline.Based on this,our study searched for relevant research at home and abroad and reviewed the implementation path of integrating MOOC and blended learning in oncology education.This provides a theoretical foundation for the innovation of oncology teaching models,improves the level of oncology teaching,and lays a solid foundation for talent reserves in oncology departments.
文摘Foreign language anxiety is one of the factors of affecting foreign language achievement. It is negatively associated with language skill learning. This article will show some researches on foreign language anxiety from certain aspects.
文摘The unceasing revolution of the global economy and culture boosts the revolutionary step of the educational circle.Combining the creed of The Guide of College English Teaching in 2016 with the results of investigation and survey in colleges, a research group in the Institute of Foreign Languages of Hankou University comes up with a revolutionary trial scheme on College English teaching conducted by discovery learning theory, as well as a research method of action research, which is in hope of mending the problems and shortcomings of current College English teaching.
文摘Teacher-student collaborative assessment(TSCA)aims to address the challenges of responding to students’work in the Production-Oriented Approach:low efficiency and poor effectiveness.As part of a bigger project carried out in a Chinese university over a period of three years,the present study explored how the teacher prepared and implemented TSCA in class,especially with a focus on how she determined the assessing objective and worked collaboratively with her students in class to achieve it,using the students’written and translated texts as examples.By adopting the dialectical research(DR)method,this paper collected qualitative data such as teaching plans,classroom recordings,and reflective journals of the teacher-researcher(the author),along with students’written drafts and translated texts.TSCA theory and classroom practice have been refined simultaneously by means of putting theory into practice and reflecting upon it.The optimized pre-class and in-class procedures may shed some light on applying TSCA to L2 classrooms.
文摘The field of machine learning(ML)is sufficiently young that it is still expanding at an accelerating pace,lying at the crossroads of computer science and statistics,and at the core of artificial intelligence(AI)and data science.Recent progress in ML has been driven both by the development of new learning algorithms theory,and by the ongoing explosion in the availability of vast amount of data(often referred to as"big data")and low-cost computation.The adoption of ML-based approaches can be found throughout science,technology and industry,leading to more evidence-based decision-making across many walks of life,including healthcare,biomedicine,manufacturing,education,financial modeling,data governance,policing,and marketing.Although the past decade has witnessed the increasing interest in these fields,we are just beginning to tap the potential of these ML algorithms for studying systems that improve with experience.In this paper,we present a comprehensive view on geo worldwide trends(taking into account China,the USA,Israel,Italy,the UK,and the Middle East)of ML-based approaches highlighting the rapid growth in the last 5 years attributable to the introduction of related national policies.Furthermore,based on the literature review,we also discuss the potential research directions in this field,summarizing some popular application areas of machine learning technology,such as healthcare,cyber-security systems,sustainable agriculture,data governance,and nanotechnology,and suggest that the"dissemination of research"in the ML scientific community has undergone the exceptional growth in the time range of 2018–2020,reaching a value of 16,339 publications.Finally,we report the challenges and the regulatory standpoints for managing ML technology.Overall,we hope that this work will help to explain the geo trends of ML approaches and their applicability in various real-world domains,as well as serve as a reference point for both academia and industry professionals,particularly from a technical,ethical and regulatory point of view.
文摘Solar cells made from perovskites have experienced rapid development as examples of third-generation solar cells in recent years. The traditional trial-and-error method is inefficient, and the search space is incredibly large. This makes developing advanced perovskite materials, as well as high conversion efficiencies and stability of perovskite solar cells (PSCs), a challenging task. A growing number of data-driven machine learning (ML) applications are being developed in the materials science field, due to the availability of large databases and increased computing power. There are many advantages associated with the use of machine learning to predict the properties of potential perovskite materials, as well as provide additional knowledge on how these materials work to fast-track their progress. Thus, the purpose of this paper is to develop a conceptual model to improve the efficiency of a perovskite solar cell using machine learning techniques in order to improve its performance. This study relies on the application of design science as a method to conduct the research as part of the study. The developed model consists of six phases: Data collection and preprocessing, feature selection and engineering, model training and evaluation, performance assessment, optimization and fine-tuning, and deployment and application. As a result of this model, there is a great deal of promise in advancing the field of perovskite solar cells as well as providing a basis for developing more efficient and cost-effective solar energy technologies in the future.
文摘Based on the research on the project course theory of "integration of theory and practice" in higher vocational education and the analysis of practical teaching in colleges and universities at home and abroad, combined with literature research, case analysis, system theory and other research methods, the project-based teaching goal, model, content and means of "integration of doing, learning and teaching" in higher vocational education is explored, and the project-based teaching model of "Landscape Planning and Design" is discussed combined with the application of information-based teaching methods. So as to provide references for carrying out the project-based teaching in similar courses in higher vocational colleges and really achieve docking the actual post requirements with the course to provide the basis for achieving the purpose of cultivating skilled talents in higher vocational education.
文摘The purpose of research study was to develop a theoretical relativistic framework for research in open and flexible learning environment because it is a new dimension in the field of education. Developing a theoretical relativistic framework for any research study is first and prime step in walking on the track to reach the distinction set by the researcher. Open and flexible learning is a new trend in education, enriched with ICT-use as a basic demand of the 21st century generation in all parts of the globe. So, it requires a theoretical framework for its initiation, implementation, development and evaluation which is relatively developed and advanced from the existing framework. In any research study the literature review is carried out in order to develop, build or construct a theoretical framework. The researcher of the study has observed while attending the international conference on ODL （AAOU, 2013） that most of the studies require theoretical underpinning for ICT-use in education. The researcher assume that being a new trend in education to use ICT for teaching learning purpose; it requires conceptual clarity and theoretical background of the user and researcher, because, without theory the practice is wastage of money, time and energy and it becomes ineffective and requires relatively new conceptual development. So, the problem stated by the researcher for the study was： Developing theoretical relativistic framework for research in open and flexible learning： A new trend in educational research. The objective of the study was integrating the interrelated concepts to build a pnemonological network for identifying the constructs in ICT-rich open and flexible learning environment. The study was significant because it provided theoretical background for conducting research in ICT-use for teaching and learning through open and flexible systems; whether blended or online learning and training. The methodology used by the researcher was qualitative and interpretive because there were reviewing of literature and meta-analysis for building the framework. The data were analyzed and interpreted by the researcher for the findings and drawing conclusions. On the basis of conclusions the researcher has made suggestions and recommendations for conducting research in open and flexible learning environment by using this theoretical relativistic framework. The framework was named as Virtual Learning Environment Framework （VLEF）.
文摘This paper analyzes the supervision activity, to which educators and teachers enrolled with AIGAM （Gordon Italian Association for the Musical Learning） are subject to every year and intends to verify the application of those principles expressed in the learning model of the MLT （Music Learning Theory） developed by educational psychologist E. Edwin Gordon （1989, 1999, 2000, 2001, 2007） and promoted internationally by various institutions and organizations specifically accredited. It describes the influence of the videotaped supervision on the process, functions of monitoring, and evaluation of educational practices, starting with an empirical model that has guided the interventions in a study of supervision on training aimed at consolidating and developing professional skills in music education in early childhood. This paper sought to understand： the kind of practices, interactions, communications developing during an educational actions, the existence of a consistent relationship between the principles expressed in the MLT and their application, the type and benefits of supervision performed by of video recording on stakeholders in terms of change in professional behavior, and finally whether the active supervision could be comparable with other kinds of approaches.
基金This research received grant from 2022 Undergraduate Education and Teaching Research Project of Fujian Medical University(22028).
文摘Objective:This study aimed to investigate the learning expectations of undergraduate nursing students regarding the flipped Health Assessment course.Methods:This descriptive,qualitative study was conducted at a medical university in Fuzhou,Fujian Province,China.An interview outline was designed based on the core dimensions of Expectation Confirmation Theory(expectation sources,expectation content,and expectation importance).Thirty second-year undergraduate nursing students who had completed first-year basic medical courses and were about to take the flipped Health Assessment course were interviewed between June and July 2022.Interview data were analyzed using qualitative content analysis.Results:Five major themes and thirteen subthemes were identified.Theme 1 was expectation sourcesperceived learning difficulties from past experiences,which included four subthemes:insufficient autonomous learning ability,confusion regarding learning methods,insufficient engagement in learning,and low professional identity.Theme 2 included knowledge and information expectations,which comprised three subthemes:knowledge to improve professional competence,knowledge to enhance academic competitiveness,and knowledge to boost self-efficacy.Theme 3 comprised logical expectations and included two subthemes:flexible teaching methods and efficient instructional tools.Theme 4,pleasure expectations,included two subthemes:vivid teaching styles and diversified teaching evaluations.Theme 5 comprised professional value expectations and included two subthemes:teachers'responsible professional attitudes and gentle emotional support.Conclusion:Students'learning expectations originate from perceived learning difficulties,such as insufficient learning autonomy and engagement,confusion about learning methods,and a lack of professional identity.They showed various learning expectations for the flipped Health Assessment course,including knowledge and information,logic,pleasure,and professional value expectations.
文摘On the morning of May 31st,the parallel forum"Seeking Harmony without Uniformity in Mutual Learning:Diversity of Civilisations from the Sinologists'Perspective"was held in Dunhuang.The forum was hosted by the Chinese Association for International Understanding and organised by Beijing Language and Culture University.Leading Sinologists and Chinese culture researchers from Europe,Asia and Latin America gathered to discuss the theme of civilisational diversity and explore pathways for coexistence and mutual enrichment.
文摘Background:With the rapid development of the world’s technology,the connection and integration between traditional medicine and modern machine learning technology are increasingly close.In this study,we aimed to analyze publications on machine learning in traditional medicine by using bibliometric methods and explore global trends in the field.Methods:Relevant research on machine learning in traditional medicine extracted from the Web of Science Core Collection database.Bibliometric analysis and visualization were performed using the Bibliometrix package in R software.Global trends,source journals,authorship,and thematic keywords analysis were performed in this study.Results:From 2012 to 2022,a total of 282 publications on machine learning in traditional medicine were identified and analyzed.The average annual growth rate of the publications was 13.35%.China had the largest contribution in this field(53.9%),followed by the United States(32.6%).IEEE Access had the largest number of published articles,with a total of 15 articles.Calvin Yu-Chian Chen,Xiao-juan Hu and Jue Wang were the main researchers in this field.Shanghai University of Traditional Chinese Medicine and University of California,San Francisco were the main research institutions.Conclusion:This study provides information on research trends in machine learning in traditional medicine to better understand research hotspots and future developments in this field.According to current global trends,the number of publications in this field will gradually increase.China currently dominated the field.Applied research of machine learning techniques may be the next hot topic in this field and deserves further attention.
文摘Learning evaluation reform, an important part of the College English Teaching Reform, is not only a basis for teachers to reflect on their teaching method, to improve their teaching management, and to ensure the teaching quality, but also an effective means for students to enhance their learning efficiency and to gain sound learning effect as well. This research was intended to apply action research to the construction of multiple learning evaluation system with the aim of proving the effectiveness of the system on raising students＇ learning autonomy to find problems in the teaching, to testify the problems through questionnaire, then to design a feasible teaching strategy and carry out an experimental teaching, and finally to reflect on the whole teaching process from the perspective of how well the learner＇s learning autonomy was enhanced. The research result is valid, positively testifying the presupposition that the Multiple Evaluation System is a comprehensive one, which makes it possible to evaluate the students＇ progress in the whole learning process.
基金This research is supported by 山东省高校人文社科研究项目 （Research Project of Humanity and Social Science in Colleges and Universities of Shandong Province J 15WD26） 滨州学院教学研究项目 （Teaching Research Project of Binzhou University BYJYZD201305, BYJYWZ201337）.
文摘Business English-Viewing, Listening ＆ Speaking is a practical course for business English majors. Cooperative learning is the teaching mode mainly based on the group work. The author applied the cooperative learning in the teaching for 10 weeks. The action research attempts to investigate the feasibility and effectiveness of cooperative learning through teaching practice, questionnaire, interview, and classroom observation. The results show that cooperative learning can improve the learning behavior, and facilitate the students＇ communicating skills
基金Tianjin University Students Innovation Training Program(202110061104)Education and Teaching Research and Reform Project of Tianjin Agricultural University(2021-B-04).
文摘This study takes the students who intend to study for graduate students as the research object,and makes a questionnaire survey on the mathematics learning situation and learning platform of the postgraduate candidates.Questionnaires were distributed online and offline,and a total of 326 valid questionnaires were collected.Based on 326 questionnaires,this paper analyzes the current learning situation of mathematics in the postgraduate entrance examination and studies the strategies based on the present situation,which points out the direction for the construction of mathematics learning and communication platform based on the needs of postgraduate entrance examination.
文摘With the rapid development of China＇s higher education, higher education, popularization of increasingly rapid pace, the future number of people receiving higher education will grow exponentially. In the rapidly growing scale of higher education at the same time, the quality of higher education has been a cause for concern This paper analyzes the current problems in the study of college students exist, and improvement measures put forward their own proposals.
文摘With the rapid development of China＇s higher education, higher education, popularization of increasingly rapid pace, the future number of people receiving higher education will grow exponentially. In the rapidly growing scale of higher education at the same time, the quality of higher education has been a cause for concern~ This paper analyzes the current problems in the study of college students exist, and improvement measures put forward their own proposals.
