The New English curriculum criteria suggest teaching English grammar based on the students’cognitive characteristics and emotional needs,helping them discover the rules and encouraging them to master the grammar by u...The New English curriculum criteria suggest teaching English grammar based on the students’cognitive characteristics and emotional needs,helping them discover the rules and encouraging them to master the grammar by using it.But due to the limited time in a lesson,many English teachers adopt a simple approach to teach grammar,in which students are required to memorize the rules first and then practice a lot.This approach is effec-展开更多
As legal cases grow in complexity and volume worldwide,integrating machine learning and artificial intelligence into judicial systems has become a pivotal research focus.This study introduces a comprehensive framework...As legal cases grow in complexity and volume worldwide,integrating machine learning and artificial intelligence into judicial systems has become a pivotal research focus.This study introduces a comprehensive framework for verdict recommendation that synergizes rule-based methods with deep learning techniques specifically tailored to the legal domain.The proposed framework comprises three core modules:legal feature extraction,semantic similarity assessment,and verdict recommendation.For legal feature extraction,a rule-based approach leverages Black’s Law Dictionary and WordNet Synsets to construct feature vectors from judicial texts.Semantic similarity between cases is evaluated using a hybrid method that combines rule-based logic with an LSTM model,analyzing the feature vectors of query cases against a legal knowledge base.Verdicts are then recommended through a rule-based retrieval system,enhanced by predefined legal statutes and regulations.By merging rule-based methodologies with deep learning,this framework addresses the interpretability challenges often associated with contemporary AImodels,thereby enhancing both transparency and generalizability across diverse legal contexts.The system was rigorously tested using a legal corpus of 43,000 case laws across six categories:Criminal,Revenue,Service,Corporate,Constitutional,and Civil law,ensuring its adaptability across a wide range of judicial scenarios.Performance evaluation showed that the feature extraction module achieved an average accuracy of 91.6%with an F-Score of 95%.The semantic similarity module,tested using Manhattan,Euclidean,and Cosine distance metrics,achieved 88%accuracy and a 93%F-Score for short queries(Manhattan),89%accuracy and a 93.7%F-Score for medium-length queries(Euclidean),and 87%accuracy with a 92.5%F-Score for longer queries(Cosine).The verdict recommendation module outperformed existing methods,achieving 90%accuracy and a 93.75%F-Score.This study highlights the potential of hybrid AI frameworks to improve judicial decision-making and streamline legal processes,offering a robust,interpretable,and adaptable solution for the evolving demands of modern legal systems.展开更多
The similarity metric in traditional content based 3D model retrieval method mainly refers the distance metric algorithm used in 2D image retrieval. But this method will limit the matching breadth. This paper proposes...The similarity metric in traditional content based 3D model retrieval method mainly refers the distance metric algorithm used in 2D image retrieval. But this method will limit the matching breadth. This paper proposes a new retrieval matching method based on case learning to enlarge the retrieval matching scope. In this method, the shortest path in Graph theory is used to analyze the similarity how the nodes on the path between query model and matched model effect. Then, the label propagation method and k nearest-neighbor method based on case learning is studied and used to improve the retrieval efficiency based on the existing feature extraction.展开更多
Objective To explore the application and the effect of the case based learning(CBL)method in clinical probation teaching of the integrated curriculum of hematology among eight-year-program medical students.Methods The...Objective To explore the application and the effect of the case based learning(CBL)method in clinical probation teaching of the integrated curriculum of hematology among eight-year-program medical students.Methods The CBL method was applied to the experimental group,and the traditional approach for the control group.After the lecture,a questionnaire survey was conducted to evaluate the teaching effect in the two groups.Results The CBL method efficiently increased the students’interest in learning and autonomous learning ability,enhanced their ability to solve clinical problems with basic theoretic knowledge and cultivated their clinical thinking ability.Conclusion The CBL method can improve the quality of clinical probation teaching of the integrated curriculum of hematology among eight-year-program medical students.展开更多
Case-based learning(CBL) is gradually replacing the traditional lecturing-based learning in nursing English teaching.In the process of CBL, selecting and compiling a good case is key to the success of CBL. In the mean...Case-based learning(CBL) is gradually replacing the traditional lecturing-based learning in nursing English teaching.In the process of CBL, selecting and compiling a good case is key to the success of CBL. In the meantime, designing questions is an important factor for successful CBL. In this article, we discuss how to select and compile cases and how to design questions in CBL used in Medical-nursing English Teaching.展开更多
Objective:The objective of this study is to evaluate the learning experience effect of online problem‑based learning(PBL)and case‑based learning(CBL)in teaching disaster nursing.Methods:According to the characteristic...Objective:The objective of this study is to evaluate the learning experience effect of online problem‑based learning(PBL)and case‑based learning(CBL)in teaching disaster nursing.Methods:According to the characteristics of online PBL and CBL,the revised curriculum experience questionnaire(CEQ)was used to evaluate the teaching quality.Cronbach’s coefficient and the reliability of the split‑half reliability questionnaire were calculated.The exploratory factor analysis of 26 items was carried out by principal component analysis and maximum variance rotation method.Kaiser‑Meyer‑Olkin(KMO)and Bartlett’s tests were used to test the validity of the questionnaire.The comparison between groups was performed by one‑way analysis of variance.Results:A total of 191 questionnaires were issued and 183 copies were recovered,with a recovery rate of 95.8%.The Cronbach’s alpha coefficient of CEQ is 0.929,and the Cronbach’s alpha coefficient of each dimension is between 0.713 and 0.924.After factor analysis,the KMO value was 0.817.The 26 items finally returned to 6 principal components,and all factor load values were above 0.7,indicating good factor analysis effect.This study found that students who learned disaster nursing had an ideal online learning experience,and the average value of CEQ was 3.74±0.42.In particular,male students,senior students or medical students had a higher curriculum experience score.In addition,compared with the national recruitment,the international students have higher curriculum experience score on the dimension of Appropriate Assessment Scale,indicating that the international students are more inclined to use online PBL and CBL.Conclusions:Using the revised CEQ is an innovative approach to evaluate the effect of online PBL and CBL in teaching disaster nursing,which can improve students’experience and curriculum quality.展开更多
This paper describes the design and implementation of a hydraulic circuit design system using case-based reasoning (CBR) paradigm from AI community The domain of hydraulic circuit design and case-based reasoning are ...This paper describes the design and implementation of a hydraulic circuit design system using case-based reasoning (CBR) paradigm from AI community The domain of hydraulic circuit design and case-based reasoning are briefly reviewed Then a proposed methodology in compuer-aided circuit design and dynamic leaning with the use of CBR is described Finally an application example is selected to illustrate the ussfulness of applying CBR in hydraulic circuit design with leaming.展开更多
文摘The New English curriculum criteria suggest teaching English grammar based on the students’cognitive characteristics and emotional needs,helping them discover the rules and encouraging them to master the grammar by using it.But due to the limited time in a lesson,many English teachers adopt a simple approach to teach grammar,in which students are required to memorize the rules first and then practice a lot.This approach is effec-
基金funded by the Deanship of Scientific Research at Jouf University under Grant number DSR-2022-RG-0101。
文摘As legal cases grow in complexity and volume worldwide,integrating machine learning and artificial intelligence into judicial systems has become a pivotal research focus.This study introduces a comprehensive framework for verdict recommendation that synergizes rule-based methods with deep learning techniques specifically tailored to the legal domain.The proposed framework comprises three core modules:legal feature extraction,semantic similarity assessment,and verdict recommendation.For legal feature extraction,a rule-based approach leverages Black’s Law Dictionary and WordNet Synsets to construct feature vectors from judicial texts.Semantic similarity between cases is evaluated using a hybrid method that combines rule-based logic with an LSTM model,analyzing the feature vectors of query cases against a legal knowledge base.Verdicts are then recommended through a rule-based retrieval system,enhanced by predefined legal statutes and regulations.By merging rule-based methodologies with deep learning,this framework addresses the interpretability challenges often associated with contemporary AImodels,thereby enhancing both transparency and generalizability across diverse legal contexts.The system was rigorously tested using a legal corpus of 43,000 case laws across six categories:Criminal,Revenue,Service,Corporate,Constitutional,and Civil law,ensuring its adaptability across a wide range of judicial scenarios.Performance evaluation showed that the feature extraction module achieved an average accuracy of 91.6%with an F-Score of 95%.The semantic similarity module,tested using Manhattan,Euclidean,and Cosine distance metrics,achieved 88%accuracy and a 93%F-Score for short queries(Manhattan),89%accuracy and a 93.7%F-Score for medium-length queries(Euclidean),and 87%accuracy with a 92.5%F-Score for longer queries(Cosine).The verdict recommendation module outperformed existing methods,achieving 90%accuracy and a 93.75%F-Score.This study highlights the potential of hybrid AI frameworks to improve judicial decision-making and streamline legal processes,offering a robust,interpretable,and adaptable solution for the evolving demands of modern legal systems.
文摘The similarity metric in traditional content based 3D model retrieval method mainly refers the distance metric algorithm used in 2D image retrieval. But this method will limit the matching breadth. This paper proposes a new retrieval matching method based on case learning to enlarge the retrieval matching scope. In this method, the shortest path in Graph theory is used to analyze the similarity how the nodes on the path between query model and matched model effect. Then, the label propagation method and k nearest-neighbor method based on case learning is studied and used to improve the retrieval efficiency based on the existing feature extraction.
文摘Objective To explore the application and the effect of the case based learning(CBL)method in clinical probation teaching of the integrated curriculum of hematology among eight-year-program medical students.Methods The CBL method was applied to the experimental group,and the traditional approach for the control group.After the lecture,a questionnaire survey was conducted to evaluate the teaching effect in the two groups.Results The CBL method efficiently increased the students’interest in learning and autonomous learning ability,enhanced their ability to solve clinical problems with basic theoretic knowledge and cultivated their clinical thinking ability.Conclusion The CBL method can improve the quality of clinical probation teaching of the integrated curriculum of hematology among eight-year-program medical students.
文摘Case-based learning(CBL) is gradually replacing the traditional lecturing-based learning in nursing English teaching.In the process of CBL, selecting and compiling a good case is key to the success of CBL. In the meantime, designing questions is an important factor for successful CBL. In this article, we discuss how to select and compile cases and how to design questions in CBL used in Medical-nursing English Teaching.
基金This work was supported in part by the 22nd Batch of Teaching Reform Research Projects of Jinan University(JG2020080)Teaching Quality and Teaching Reform Project of Undergraduate University of Guangdong in China(2017,2020)+2 种基金Undergraduate Training Programs for Innovation and Entrepreneurship of Jinan University in China(no.CX20157,CX20145)Traditional Chinese Medicine Bureau of Guangdong in China(no.20161065 and 20201075)National Health and Family Planning Commission of Guangdong in China(no.A2016583,A2017228,A2017140 and A2020137).
文摘Objective:The objective of this study is to evaluate the learning experience effect of online problem‑based learning(PBL)and case‑based learning(CBL)in teaching disaster nursing.Methods:According to the characteristics of online PBL and CBL,the revised curriculum experience questionnaire(CEQ)was used to evaluate the teaching quality.Cronbach’s coefficient and the reliability of the split‑half reliability questionnaire were calculated.The exploratory factor analysis of 26 items was carried out by principal component analysis and maximum variance rotation method.Kaiser‑Meyer‑Olkin(KMO)and Bartlett’s tests were used to test the validity of the questionnaire.The comparison between groups was performed by one‑way analysis of variance.Results:A total of 191 questionnaires were issued and 183 copies were recovered,with a recovery rate of 95.8%.The Cronbach’s alpha coefficient of CEQ is 0.929,and the Cronbach’s alpha coefficient of each dimension is between 0.713 and 0.924.After factor analysis,the KMO value was 0.817.The 26 items finally returned to 6 principal components,and all factor load values were above 0.7,indicating good factor analysis effect.This study found that students who learned disaster nursing had an ideal online learning experience,and the average value of CEQ was 3.74±0.42.In particular,male students,senior students or medical students had a higher curriculum experience score.In addition,compared with the national recruitment,the international students have higher curriculum experience score on the dimension of Appropriate Assessment Scale,indicating that the international students are more inclined to use online PBL and CBL.Conclusions:Using the revised CEQ is an innovative approach to evaluate the effect of online PBL and CBL in teaching disaster nursing,which can improve students’experience and curriculum quality.
文摘This paper describes the design and implementation of a hydraulic circuit design system using case-based reasoning (CBR) paradigm from AI community The domain of hydraulic circuit design and case-based reasoning are briefly reviewed Then a proposed methodology in compuer-aided circuit design and dynamic leaning with the use of CBR is described Finally an application example is selected to illustrate the ussfulness of applying CBR in hydraulic circuit design with leaming.
