The urban grass-roots library is an important part of the public cultural service system,and also a place to carry out national reading and lifelong learning,which is of great significance to the construction of a lea...The urban grass-roots library is an important part of the public cultural service system,and also a place to carry out national reading and lifelong learning,which is of great significance to the construction of a learning society.In this paper,the development and evolution of urban grassroots libraries in China are reviewed,and the current situation and usage issues of grassroots libraries in Beijing are analyzed.Moreover,the development strategy of idea stores in London,UK is studied,and characteristics are summarized,and possible references are sought.In the new era,urban grassroots libraries should integrate into communities with multiple functions and play a more sufficient role in public education,learning and training,and other aspects.展开更多
This work leveraged predictive modeling techniques in machine learning (ML) to predict heart disease using a dataset sourced from the Center for Disease Control and Prevention in the US. The dataset was preprocessed a...This work leveraged predictive modeling techniques in machine learning (ML) to predict heart disease using a dataset sourced from the Center for Disease Control and Prevention in the US. The dataset was preprocessed and used to train five machine learning models: random forest, support vector machine, logistic regression, extreme gradient boosting and light gradient boosting. The goal was to use the best performing model to develop a web application capable of reliably predicting heart disease based on user-provided data. The extreme gradient boosting classifier provided the most reliable results with precision, recall and F1-score of 97%, 72%, and 83% respectively for Class 0 (no heart disease) and 21% (precision), 81% (recall) and 34% (F1-score) for Class 1 (heart disease). The model was further deployed as a web application.展开更多
Lifelong learning is a focused issue explored by many scholars.After having reviewed the practices in lifelong leaning policies adopted in many countries and organizations,this paper analyzes the current situation in ...Lifelong learning is a focused issue explored by many scholars.After having reviewed the practices in lifelong leaning policies adopted in many countries and organizations,this paper analyzes the current situation in lifelong learning policies in China,thus to satisfy people's need to live and develop,fulfill spiritual world and level up the quality of life.展开更多
With the rapid advancements in technology,especially in digitalization and intelligence,numerous modern technologies have poured into rural schools,effectively improving their informatization conditions.Nevertheless,t...With the rapid advancements in technology,especially in digitalization and intelligence,numerous modern technologies have poured into rural schools,effectively improving their informatization conditions.Nevertheless,these technologies remain detached from rural teachers,failing to significantly enhance the quality of education and teaching in rural areas.Rural education is a crucial aspect of ensuring balanced development in education.The question of how to enhance rural teachers’technological application abilities and fully leverage the positive role of technology in rural education and teaching has become a significant topic of current research on rural education issues.To better address this question,this study conducted a thorough examination of the specific appeals of rural teachers in the process of technology enablement.It was discovered that rural teachers generally face dilemmas such as insufficient technological application abilities,difficulties in obtaining quality teaching resources,and the lack of continuous technical support and update mechanisms.Based on these findings,specific pathways such as strengthening rural teacher training,optimizing the allocation of educational resources,and establishing mechanisms for continuous technical support and updates are proposed to aid in the high-quality development of rural education.展开更多
A landmark in the realization of UNESCO’s Sustainability Goals,Education for All(SDG4),was passed when the organization’s Recommendation of Open Educational Resources(OER)was uniformly adopted in 2019.Now it is time...A landmark in the realization of UNESCO’s Sustainability Goals,Education for All(SDG4),was passed when the organization’s Recommendation of Open Educational Resources(OER)was uniformly adopted in 2019.Now it is time to transfer from the consciousness of OER to their mainstream realization at all levels,micro,meso,and macro,including all stakeholders,such as governments,institutions,academics,teachers,administrators,librarians,students,learners,and the civil service.The OER Recommendation includes five areas:building capacity and utilizing OER;developing supportive policies;ensuring effectiveness;promoting the creation of sustainable OER models;promoting and facilitating international collaboration;monitoring and evaluation.OER are valued as a catalyst for innovation and the achievement of UNESCO’s SDG 4,education for all,lifelong learning,social justice,and human rights.The OER Recommendation will be a catalyst for the realization of several other SDGs.Because access to quality OER concerns human rights and social justice,this Recommendation is vital.In 2020,the effects of the worldwide COVID-19 pandemic clearly demonstrated the importance of opening up education and the access to internationally recognized,qualified learning resources.This article describes and discusses how the promise of resilient,sustainable quality open education can be fulfilled in the new normal and the next normal.展开更多
Objectives: To analyse motivation and preferences of pharmacists who participate in CE (continuing education) to develop suitable lifelong learning programmes for pharmacists. Methods: An online questionnaire, whi...Objectives: To analyse motivation and preferences of pharmacists who participate in CE (continuing education) to develop suitable lifelong learning programmes for pharmacists. Methods: An online questionnaire, which explored the motivation and preferences of the pharmacists to lifelong learning, was sent to all members of the Royal Dutch Pharmaceutical Society (4321) in the Netherlands. The data were analysed using a non-hierarchical clustering technique. Key findings: Two clusters of pharmacists were discovered. Cluster A pharmacists (n = 474) were more motivated by credit points (63.5% vs. 47.2%), personal interest (84.1% vs. 56.3%), updating knowledge (73.8% vs. 56.8%) and topicality of CE courses (47.7% vs. 26.1%). Cluster B pharmacists (n = 199) were predominantly motivated by the aspect "duty as a care-giver" (97.0% vs. 0 % in cluster A). Pharmacists who belonged to cluster A tended to be women (60.5%), often worked part-time (29.3%) and mostly preferred lectures (71.1%). Cluster B pharmacists consisted of statistically significantly more male pharmacists (52.8%, p = 0.001), worked more full time (77.4%, p = 0.009) and mostly preferred blended learning (62.3%, p = 0.047). Conclusions: These results suggest the use of different education formats for different kinds of pharmacists to participate in CE activities.展开更多
with the development of 5G,the future wireless communication network tends to be more and more intelligent.In the face of new service de-mands of communication in the future such as super-heterogeneous network,multipl...with the development of 5G,the future wireless communication network tends to be more and more intelligent.In the face of new service de-mands of communication in the future such as super-heterogeneous network,multiple communication sce-narios,large number of antenna elements and large bandwidth,new theories and technologies of intelli-gent communication have been widely studied,among which Deep Learning(DL)is a powerful technology in artificial intelligence(AI).It can be trained to con-tinuously learn to update the optimal parameters.This paper reviews the latest research progress of DL in in-telligent communication,and emphatically introduces five scenarios including Cognitive Radio(CR),Edge Computing(EC),Channel Measurement(CM),End to end Encoder/Decoder(EED)and Visible Light Com-munication(VLC).The prospect and challenges of further research and development in the future are also discussed.展开更多
The purpose of this study is to explore the impact of community public welfare education activities on residents’awareness of lifelong learning.Through the analysis of the connotation,form and mechanism of community ...The purpose of this study is to explore the impact of community public welfare education activities on residents’awareness of lifelong learning.Through the analysis of the connotation,form and mechanism of community public welfare education activities,the importance of improving the comprehensive quality of residents and promoting the harmonious development of society is revealed.At the same time,it analyzes the problems faced by current community public welfare education activities,including uneven allocation of resources,single content forms,weak teachers and insufficient capital investment,and puts forward corresponding solutions,in order to provide theoretical basis and practical guidance for optimizing community public welfare education activities and enhancing residents’awareness of lifelong learning.展开更多
Museums offer a lifelong edutainment environment with flexible choices for the public and provide fruitful interdisciplinary learning resources to support competency-based education.However,the lack of proper scaffold...Museums offer a lifelong edutainment environment with flexible choices for the public and provide fruitful interdisciplinary learning resources to support competency-based education.However,the lack of proper scaffolding and supports in museums negatively affect learner learning.Further,the individual differences need to be considered to effectively support the diverse learners learning in museums.In this study,an innovative learning model to support competency education for lifelong learning in museums is proposed.A game-based learning service named CoboFun that offers various types of problem-solving activities was developed to facilitate learners’interaction with exhibits and their peers in the museum.To examine the service design of CoboFun,learners’perceptions were evaluated and the differences in their cognitive styles were examined(Field Independent(FI)and Field Dependent(FD)).The results showed that both FI and FD learners enjoyed learning with CoboFun but that flexible learning tools needed to be provided to satisfy the different needs for the learners with different cognitive styles.展开更多
Strengthening moral learning may become available to us by bringing phronesis and transformative learning in a common theoretical space. For both Aristotle and Mezirow, the exercise of morality, or rising to the stand...Strengthening moral learning may become available to us by bringing phronesis and transformative learning in a common theoretical space. For both Aristotle and Mezirow, the exercise of morality, or rising to the standard of moral choice, decision, and action, is not the result of an intuitive achievement or a sudden understanding of a morally demanding situation but a lifelong affair. Our strategy here addresses three aims: Firstly, to invoke and reclaim the endemic bond between education in the broader sense of paideia and the significant role that reeds to be re-ascribed to moral education. This allows a turn towards qualitative features and makes room for an inclusion of moral education, or values education, within education. Secondly, to portray the exercise of autonomy, choice, and judgment as a result of paideutic development; both theories share the assumption that moral learning rests on constant reflection upon past experiences and the zetesis of future goals. Thirdly, to focus on the way one reclaims the right to exercise judgment, whenever this is required. A joint study of the two theories may enlighten the content of this lifelong reflective procedure.展开更多
Multiple faults are easily confused with single faults.In order to identify multiple faults more accurately,a highly efficient learning method is proposed based on a double parallel two-hidden-layer extreme learning m...Multiple faults are easily confused with single faults.In order to identify multiple faults more accurately,a highly efficient learning method is proposed based on a double parallel two-hidden-layer extreme learning machine,called DPTELM.The DPT-ELM method is a variant of an extreme learning machine(ELM).There are some issues with ELM.First,achieving a high accuracy requires too many hidden nodes;second,the direct connection between the input layer and the output layer is ignored.Accordingly,to deal with the above-mentioned problems,DPT-ELM extends the single-hidden-layer ELM to a two-hidden-layer ELM,which can achieve a desired performance with fewer hidden nodes.In addition,a direct connection is built between the input layer and the output layer.Since the input layer weights and the thresholds of the two hidden layers are determined randomly,this simplifies the improved model and shortens the calculation time.Additionally,to improve the signal to noise ratio(SNR),an adaptive waveform decomposition(AWD)algorithm is used to denoise the vibration signal.Then,the denoised signal is used to extract the eigenvalues by the time-domain and frequency-domain methods.Finally,the eigenvalues are input to the DPT-ELM classifier.In this paper,two groups of rolling bearing data at different speeds,which were collected from a real experimental platform,are used to test the method.Each set of data includes three single fault states,two complex fault states and a healthy state.The experimental results demonstrate that the DPT-ELM method achieves fast learning speed and a high accuracy.Moreover,based on 10-fold cross-validation,it proves to be an effective method to improve the accuracy with fewer hidden nodes.展开更多
基金the National Natural Science Foundation of China(51708001).
文摘The urban grass-roots library is an important part of the public cultural service system,and also a place to carry out national reading and lifelong learning,which is of great significance to the construction of a learning society.In this paper,the development and evolution of urban grassroots libraries in China are reviewed,and the current situation and usage issues of grassroots libraries in Beijing are analyzed.Moreover,the development strategy of idea stores in London,UK is studied,and characteristics are summarized,and possible references are sought.In the new era,urban grassroots libraries should integrate into communities with multiple functions and play a more sufficient role in public education,learning and training,and other aspects.
文摘This work leveraged predictive modeling techniques in machine learning (ML) to predict heart disease using a dataset sourced from the Center for Disease Control and Prevention in the US. The dataset was preprocessed and used to train five machine learning models: random forest, support vector machine, logistic regression, extreme gradient boosting and light gradient boosting. The goal was to use the best performing model to develop a web application capable of reliably predicting heart disease based on user-provided data. The extreme gradient boosting classifier provided the most reliable results with precision, recall and F1-score of 97%, 72%, and 83% respectively for Class 0 (no heart disease) and 21% (precision), 81% (recall) and 34% (F1-score) for Class 1 (heart disease). The model was further deployed as a web application.
文摘Lifelong learning is a focused issue explored by many scholars.After having reviewed the practices in lifelong leaning policies adopted in many countries and organizations,this paper analyzes the current situation in lifelong learning policies in China,thus to satisfy people's need to live and develop,fulfill spiritual world and level up the quality of life.
基金The 2023 Guangdong Provincial Education Department Scientific Research Cultivation Project“Research on the Role of Informatization in Promoting the Professional Development of Teachers in Northeast Guangdong Province”(Project number:2023-SKPY01)。
文摘With the rapid advancements in technology,especially in digitalization and intelligence,numerous modern technologies have poured into rural schools,effectively improving their informatization conditions.Nevertheless,these technologies remain detached from rural teachers,failing to significantly enhance the quality of education and teaching in rural areas.Rural education is a crucial aspect of ensuring balanced development in education.The question of how to enhance rural teachers’technological application abilities and fully leverage the positive role of technology in rural education and teaching has become a significant topic of current research on rural education issues.To better address this question,this study conducted a thorough examination of the specific appeals of rural teachers in the process of technology enablement.It was discovered that rural teachers generally face dilemmas such as insufficient technological application abilities,difficulties in obtaining quality teaching resources,and the lack of continuous technical support and update mechanisms.Based on these findings,specific pathways such as strengthening rural teacher training,optimizing the allocation of educational resources,and establishing mechanisms for continuous technical support and updates are proposed to aid in the high-quality development of rural education.
文摘A landmark in the realization of UNESCO’s Sustainability Goals,Education for All(SDG4),was passed when the organization’s Recommendation of Open Educational Resources(OER)was uniformly adopted in 2019.Now it is time to transfer from the consciousness of OER to their mainstream realization at all levels,micro,meso,and macro,including all stakeholders,such as governments,institutions,academics,teachers,administrators,librarians,students,learners,and the civil service.The OER Recommendation includes five areas:building capacity and utilizing OER;developing supportive policies;ensuring effectiveness;promoting the creation of sustainable OER models;promoting and facilitating international collaboration;monitoring and evaluation.OER are valued as a catalyst for innovation and the achievement of UNESCO’s SDG 4,education for all,lifelong learning,social justice,and human rights.The OER Recommendation will be a catalyst for the realization of several other SDGs.Because access to quality OER concerns human rights and social justice,this Recommendation is vital.In 2020,the effects of the worldwide COVID-19 pandemic clearly demonstrated the importance of opening up education and the access to internationally recognized,qualified learning resources.This article describes and discusses how the promise of resilient,sustainable quality open education can be fulfilled in the new normal and the next normal.
文摘Objectives: To analyse motivation and preferences of pharmacists who participate in CE (continuing education) to develop suitable lifelong learning programmes for pharmacists. Methods: An online questionnaire, which explored the motivation and preferences of the pharmacists to lifelong learning, was sent to all members of the Royal Dutch Pharmaceutical Society (4321) in the Netherlands. The data were analysed using a non-hierarchical clustering technique. Key findings: Two clusters of pharmacists were discovered. Cluster A pharmacists (n = 474) were more motivated by credit points (63.5% vs. 47.2%), personal interest (84.1% vs. 56.3%), updating knowledge (73.8% vs. 56.8%) and topicality of CE courses (47.7% vs. 26.1%). Cluster B pharmacists (n = 199) were predominantly motivated by the aspect "duty as a care-giver" (97.0% vs. 0 % in cluster A). Pharmacists who belonged to cluster A tended to be women (60.5%), often worked part-time (29.3%) and mostly preferred lectures (71.1%). Cluster B pharmacists consisted of statistically significantly more male pharmacists (52.8%, p = 0.001), worked more full time (77.4%, p = 0.009) and mostly preferred blended learning (62.3%, p = 0.047). Conclusions: These results suggest the use of different education formats for different kinds of pharmacists to participate in CE activities.
基金the National Nat-ural Science Foundation of China under Grant No.62061039Postgraduate Innovation Project of Ningxia University No.JIP20210076Key project of Ningxia Natural Science Foundation No.2020AAC02006.
文摘with the development of 5G,the future wireless communication network tends to be more and more intelligent.In the face of new service de-mands of communication in the future such as super-heterogeneous network,multiple communication sce-narios,large number of antenna elements and large bandwidth,new theories and technologies of intelli-gent communication have been widely studied,among which Deep Learning(DL)is a powerful technology in artificial intelligence(AI).It can be trained to con-tinuously learn to update the optimal parameters.This paper reviews the latest research progress of DL in in-telligent communication,and emphatically introduces five scenarios including Cognitive Radio(CR),Edge Computing(EC),Channel Measurement(CM),End to end Encoder/Decoder(EED)and Visible Light Com-munication(VLC).The prospect and challenges of further research and development in the future are also discussed.
文摘The purpose of this study is to explore the impact of community public welfare education activities on residents’awareness of lifelong learning.Through the analysis of the connotation,form and mechanism of community public welfare education activities,the importance of improving the comprehensive quality of residents and promoting the harmonious development of society is revealed.At the same time,it analyzes the problems faced by current community public welfare education activities,including uneven allocation of resources,single content forms,weak teachers and insufficient capital investment,and puts forward corresponding solutions,in order to provide theoretical basis and practical guidance for optimizing community public welfare education activities and enhancing residents’awareness of lifelong learning.
基金Funding/Acknowledgements:This study is supported in part by the Ministry of Science and Technology of the Republic of China under contract number MOST 108-2511-H-178-001 and MOST 109-2511-H-178-001.
文摘Museums offer a lifelong edutainment environment with flexible choices for the public and provide fruitful interdisciplinary learning resources to support competency-based education.However,the lack of proper scaffolding and supports in museums negatively affect learner learning.Further,the individual differences need to be considered to effectively support the diverse learners learning in museums.In this study,an innovative learning model to support competency education for lifelong learning in museums is proposed.A game-based learning service named CoboFun that offers various types of problem-solving activities was developed to facilitate learners’interaction with exhibits and their peers in the museum.To examine the service design of CoboFun,learners’perceptions were evaluated and the differences in their cognitive styles were examined(Field Independent(FI)and Field Dependent(FD)).The results showed that both FI and FD learners enjoyed learning with CoboFun but that flexible learning tools needed to be provided to satisfy the different needs for the learners with different cognitive styles.
文摘Strengthening moral learning may become available to us by bringing phronesis and transformative learning in a common theoretical space. For both Aristotle and Mezirow, the exercise of morality, or rising to the standard of moral choice, decision, and action, is not the result of an intuitive achievement or a sudden understanding of a morally demanding situation but a lifelong affair. Our strategy here addresses three aims: Firstly, to invoke and reclaim the endemic bond between education in the broader sense of paideia and the significant role that reeds to be re-ascribed to moral education. This allows a turn towards qualitative features and makes room for an inclusion of moral education, or values education, within education. Secondly, to portray the exercise of autonomy, choice, and judgment as a result of paideutic development; both theories share the assumption that moral learning rests on constant reflection upon past experiences and the zetesis of future goals. Thirdly, to focus on the way one reclaims the right to exercise judgment, whenever this is required. A joint study of the two theories may enlighten the content of this lifelong reflective procedure.
基金supported by National Natural Science Foundation of China(51675035/51375037)
文摘Multiple faults are easily confused with single faults.In order to identify multiple faults more accurately,a highly efficient learning method is proposed based on a double parallel two-hidden-layer extreme learning machine,called DPTELM.The DPT-ELM method is a variant of an extreme learning machine(ELM).There are some issues with ELM.First,achieving a high accuracy requires too many hidden nodes;second,the direct connection between the input layer and the output layer is ignored.Accordingly,to deal with the above-mentioned problems,DPT-ELM extends the single-hidden-layer ELM to a two-hidden-layer ELM,which can achieve a desired performance with fewer hidden nodes.In addition,a direct connection is built between the input layer and the output layer.Since the input layer weights and the thresholds of the two hidden layers are determined randomly,this simplifies the improved model and shortens the calculation time.Additionally,to improve the signal to noise ratio(SNR),an adaptive waveform decomposition(AWD)algorithm is used to denoise the vibration signal.Then,the denoised signal is used to extract the eigenvalues by the time-domain and frequency-domain methods.Finally,the eigenvalues are input to the DPT-ELM classifier.In this paper,two groups of rolling bearing data at different speeds,which were collected from a real experimental platform,are used to test the method.Each set of data includes three single fault states,two complex fault states and a healthy state.The experimental results demonstrate that the DPT-ELM method achieves fast learning speed and a high accuracy.Moreover,based on 10-fold cross-validation,it proves to be an effective method to improve the accuracy with fewer hidden nodes.