Objective:To explore the effectiveness of multi-modal teaching based on an online case library in the education of gene methylation combined with spiral computed tomography(CT)screening for pulmonary ground-glass opac...Objective:To explore the effectiveness of multi-modal teaching based on an online case library in the education of gene methylation combined with spiral computed tomography(CT)screening for pulmonary ground-glass opacity(GGO)nodules.Methods:From October 2023 to April 2024,66 medical imaging students were selected and randomly divided into a control group and an observation group,each with 33 students.The control group received traditional lecture-based teaching,while the observation group was taught using a multi-modal teaching approach based on an online case library.Performance on assessments and teaching quality were analyzed between the two groups.Results:The observation group achieved higher scores in theoretical and practical knowledge compared to the control group(P<0.05).Additionally,the teaching quality scores were significantly higher in the observation group(P<0.05).Conclusion:Implementing multi-modal teaching based on an online case library for pulmonary GGO nodule screening with gene methylation combined with spiral CT can enhance students’knowledge acquisition,improve teaching quality,and have significant clinical application value.展开更多
Taking the teaching practice of agricultural landscape planning for example,this paper uses the multi-modal teaching idea for teaching design based on traditional lecture-style teaching,including multi-modal teaching ...Taking the teaching practice of agricultural landscape planning for example,this paper uses the multi-modal teaching idea for teaching design based on traditional lecture-style teaching,including multi-modal teaching materials,multi-modal teaching methods and multi-modal teaching evaluation. The results show that this method can effectively improve students' interest in learning,reinforce the theoretical basis of agricultural landscape planning theory,and improve agricultural landscape planning practical skills. It is the active exploration of multi-modal teaching model and useful complement to traditional classroom teaching.展开更多
Objective: to observe the application effect of multi-modal teaching method in clinical anesthesiology teaching. Methods: a total of 50 anesthesiology students who practiced in our hospital from September 2020 to Augu...Objective: to observe the application effect of multi-modal teaching method in clinical anesthesiology teaching. Methods: a total of 50 anesthesiology students who practiced in our hospital from September 2020 to August 2021 were selected for research. According to different teaching methods, 25 students in the control group received conventional teaching, and 25 students in the research group received multimodal teaching, comparing students' assessment results, learning excellence rate and teaching quality assessment results. Results: the examination scores of students in the study group in anesthesia preparation, tracheal intubation, general anesthesia and local anesthesia, and anesthesia evaluation were all higher than those in the control group (P<0.05). The teaching quality evaluation results of the research group were better than those of the control group (P<0.05);the student satisfaction rate of the research group was 100.0% higher than that of the control group (84.0%) (P<0.05). Conclusion: the application of multi-mode teaching method in clinical teaching can improve the operation level of anesthesiology students and improve their comprehensive quality. The teaching quality is good, which has been widely recognized by students.展开更多
Objective To develop a non-invasive predictive model for coronary artery stenosis severity based on adaptive multi-modal integration of traditional Chinese and western medicine data.Methods Clinical indicators,echocar...Objective To develop a non-invasive predictive model for coronary artery stenosis severity based on adaptive multi-modal integration of traditional Chinese and western medicine data.Methods Clinical indicators,echocardiographic data,traditional Chinese medicine(TCM)tongue manifestations,and facial features were collected from patients who underwent coro-nary computed tomography angiography(CTA)in the Cardiac Care Unit(CCU)of Shanghai Tenth People's Hospital between May 1,2023 and May 1,2024.An adaptive weighted multi-modal data fusion(AWMDF)model based on deep learning was constructed to predict the severity of coronary artery stenosis.The model was evaluated using metrics including accura-cy,precision,recall,F1 score,and the area under the receiver operating characteristic(ROC)curve(AUC).Further performance assessment was conducted through comparisons with six ensemble machine learning methods,data ablation,model component ablation,and various decision-level fusion strategies.Results A total of 158 patients were included in the study.The AWMDF model achieved ex-cellent predictive performance(AUC=0.973,accuracy=0.937,precision=0.937,recall=0.929,and F1 score=0.933).Compared with model ablation,data ablation experiments,and various traditional machine learning models,the AWMDF model demonstrated superior per-formance.Moreover,the adaptive weighting strategy outperformed alternative approaches,including simple weighting,averaging,voting,and fixed-weight schemes.Conclusion The AWMDF model demonstrates potential clinical value in the non-invasive prediction of coronary artery disease and could serve as a tool for clinical decision support.展开更多
This study examines the Big Data Collection and Preprocessing course at Anhui Institute of Information Engineering,implementing a hybrid teaching reform using the Bosi Smart Learning Platform.The proposed hybrid model...This study examines the Big Data Collection and Preprocessing course at Anhui Institute of Information Engineering,implementing a hybrid teaching reform using the Bosi Smart Learning Platform.The proposed hybrid model follows a“three-stage”and“two-subject”framework,incorporating a structured design for teaching content and assessment methods before,during,and after class.Practical results indicate that this approach significantly enhances teaching effectiveness and improves students’learning autonomy.展开更多
The development of a new round of artificial intelligence(AI)science and technology provided good technical support and condition guarantee for college English teaching,but it also brought new challenges.It is necessa...The development of a new round of artificial intelligence(AI)science and technology provided good technical support and condition guarantee for college English teaching,but it also brought new challenges.It is necessary and inevitable for English teaching to experience reform and innovation.China’s AI digital teaching transformation is in the exploratory stage,and AI teaching mode has become the focus of future teaching development.Herein we propose a research method of integrating AI tools in college English teaching to adapt to the personalized learning of the new generation of college students,make the teaching process efficiently integrate the tide of the development of AI,promote the development of education evaluation system more accurately,and provide theoretical and data references for college English teaching reform.展开更多
This study aims to explore the characteristics of novice teachers’inappropriate behaviors in classroom teaching and their intervention strategies.With the continuous improvement of education quality,novice teachers f...This study aims to explore the characteristics of novice teachers’inappropriate behaviors in classroom teaching and their intervention strategies.With the continuous improvement of education quality,novice teachers face increasing challenges in teaching practice.Their inappropriate behaviors not only affect the classroom atmosphere but may also negatively impact students’learning outcomes.Therefore,researching the characteristics of novice teachers’inappropriate behaviors and their intervention strategies holds significant scientific and social value.This study employs a combination of quantitative and qualitative methods to analyze the behavioral patterns of novice teachers in classroom teaching and proposes corresponding intervention strategies.The results indicate that novice teachers’inappropriate behaviors mainly manifest as poor classroom management,monotonous teaching methods,and insufficient interaction with students.Based on these findings,the study proposes a series of effective intervention strategies,including enhancing teacher training,optimizing teaching design,and promoting positive interactions between teachers and students.The conclusions of the study not only provide practical guidance for educational practice but also point out directions for future research,emphasizing the crucial role of teacher professional development in improving teaching quality.展开更多
As new-generation intelligent technologies rapidly evolve,enhancing artificial intelligence(AI)education has become a global consensus,and improving AI literacy is a key focus in higher education.To address the lack o...As new-generation intelligent technologies rapidly evolve,enhancing artificial intelligence(AI)education has become a global consensus,and improving AI literacy is a key focus in higher education.To address the lack of relevant knowledge among non-computer science students,the complexity of the material,which leads to low interest and high difficulty in learning,this paper proposes a three-pronged teaching design model:“BOPPPS model+large language models(LLMs)+mind maps with 3w2h”.This model aims to assist teachers in designing practical teaching cases and engaging,interactive activities,and provides examples of its application to help teachers better teach AI and improve the AI literacy of non-computer science students.展开更多
Multi-modal Named Entity Recognition(MNER)aims to better identify meaningful textual entities by integrating information from images.Previous work has focused on extracting visual semantics at a fine-grained level,or ...Multi-modal Named Entity Recognition(MNER)aims to better identify meaningful textual entities by integrating information from images.Previous work has focused on extracting visual semantics at a fine-grained level,or obtaining entity related external knowledge from knowledge bases or Large Language Models(LLMs).However,these approaches ignore the poor semantic correlation between visual and textual modalities in MNER datasets and do not explore different multi-modal fusion approaches.In this paper,we present MMAVK,a multi-modal named entity recognition model with auxiliary visual knowledge and word-level fusion,which aims to leverage the Multi-modal Large Language Model(MLLM)as an implicit knowledge base.It also extracts vision-based auxiliary knowledge from the image formore accurate and effective recognition.Specifically,we propose vision-based auxiliary knowledge generation,which guides the MLLM to extract external knowledge exclusively derived from images to aid entity recognition by designing target-specific prompts,thus avoiding redundant recognition and cognitive confusion caused by the simultaneous processing of image-text pairs.Furthermore,we employ a word-level multi-modal fusion mechanism to fuse the extracted external knowledge with each word-embedding embedded from the transformerbased encoder.Extensive experimental results demonstrate that MMAVK outperforms or equals the state-of-the-art methods on the two classical MNER datasets,even when the largemodels employed have significantly fewer parameters than other baselines.展开更多
Multi-modal knowledge graph completion(MMKGC)aims to complete missing entities or relations in multi-modal knowledge graphs,thereby discovering more previously unknown triples.Due to the continuous growth of data and ...Multi-modal knowledge graph completion(MMKGC)aims to complete missing entities or relations in multi-modal knowledge graphs,thereby discovering more previously unknown triples.Due to the continuous growth of data and knowledge and the limitations of data sources,the visual knowledge within the knowledge graphs is generally of low quality,and some entities suffer from the issue of missing visual modality.Nevertheless,previous studies of MMKGC have primarily focused on how to facilitate modality interaction and fusion while neglecting the problems of low modality quality and modality missing.In this case,mainstream MMKGC models only use pre-trained visual encoders to extract features and transfer the semantic information to the joint embeddings through modal fusion,which inevitably suffers from problems such as error propagation and increased uncertainty.To address these problems,we propose a Multi-modal knowledge graph Completion model based on Super-resolution and Detailed Description Generation(MMCSD).Specifically,we leverage a pre-trained residual network to enhance the resolution and improve the quality of the visual modality.Moreover,we design multi-level visual semantic extraction and entity description generation,thereby further extracting entity semantics from structural triples and visual images.Meanwhile,we train a variational multi-modal auto-encoder and utilize a pre-trained multi-modal language model to complement the missing visual features.We conducted experiments on FB15K-237 and DB13K,and the results showed that MMCSD can effectively perform MMKGC and achieve state-of-the-art performance.展开更多
Based on the study of the Mechanical Design and Automation major and its relevance to teaching reform in higher education engineering programs,a project-based teaching model was introduced.This approach integrates tea...Based on the study of the Mechanical Design and Automation major and its relevance to teaching reform in higher education engineering programs,a project-based teaching model was introduced.This approach integrates teaching design,scheme argumentation,and the implementation of teaching activities with the project serving as the central framework.Course knowledge points are derived from the project topics,forming the foundation for a structured knowledge framework.The course content is modularized in alignment with the project design,enabling students to engage with professional courses on a module-by-module basis,guided by the project.Each course utilizes the project topic as a practical case,facilitating project-led teaching.A teaching system tailored to the research project is proposed,establishing a professional course structure closely linked to the project objectives.展开更多
"Sichuan Cuisine Cooking Skills"is a course that focuses on the traditional cooking skills of Sichuan Province in China.It covers not only the historical and cultural background of Sichuan cuisine,but also t..."Sichuan Cuisine Cooking Skills"is a course that focuses on the traditional cooking skills of Sichuan Province in China.It covers not only the historical and cultural background of Sichuan cuisine,but also the cooking techniques,ingredients selection,seasoning skills and dish innovation of Sichuan cuisine.Doing a good job in the teaching of"Sichuan Cuisine Cooking Skills"is of great significance to the cultivation and reserve of culinary professionals in China,and also has an important impact on students'employment competitiveness.Under the background of"new engineering education",the course reform of"Sichuan Cuisine Cooking Skills"was carried out in terms of the construction of teaching staff,teaching methods,students'participation degree and the innovation of course content,and specific reform suggestions were put forward,hoping to effectively promote the sustainable development of"Sichuan Cuisine Cooking Skills"and effectively improve the teaching quality.展开更多
Integrating multiple medical imaging techniques,including Magnetic Resonance Imaging(MRI),Computed Tomography,Positron Emission Tomography(PET),and ultrasound,provides a comprehensive view of the patient health status...Integrating multiple medical imaging techniques,including Magnetic Resonance Imaging(MRI),Computed Tomography,Positron Emission Tomography(PET),and ultrasound,provides a comprehensive view of the patient health status.Each of these methods contributes unique diagnostic insights,enhancing the overall assessment of patient condition.Nevertheless,the amalgamation of data from multiple modalities presents difficulties due to disparities in resolution,data collection methods,and noise levels.While traditional models like Convolutional Neural Networks(CNNs)excel in single-modality tasks,they struggle to handle multi-modal complexities,lacking the capacity to model global relationships.This research presents a novel approach for examining multi-modal medical imagery using a transformer-based system.The framework employs self-attention and cross-attention mechanisms to synchronize and integrate features across various modalities.Additionally,it shows resilience to variations in noise and image quality,making it adaptable for real-time clinical use.To address the computational hurdles linked to transformer models,particularly in real-time clinical applications in resource-constrained environments,several optimization techniques have been integrated to boost scalability and efficiency.Initially,a streamlined transformer architecture was adopted to minimize the computational load while maintaining model effectiveness.Methods such as model pruning,quantization,and knowledge distillation have been applied to reduce the parameter count and enhance the inference speed.Furthermore,efficient attention mechanisms such as linear or sparse attention were employed to alleviate the substantial memory and processing requirements of traditional self-attention operations.For further deployment optimization,researchers have implemented hardware-aware acceleration strategies,including the use of TensorRT and ONNX-based model compression,to ensure efficient execution on edge devices.These optimizations allow the approach to function effectively in real-time clinical settings,ensuring viability even in environments with limited resources.Future research directions include integrating non-imaging data to facilitate personalized treatment and enhancing computational efficiency for implementation in resource-limited environments.This study highlights the transformative potential of transformer models in multi-modal medical imaging,offering improvements in diagnostic accuracy and patient care outcomes.展开更多
The BOPPPS teaching model is a student-centered teaching model that has been widely applied in various teaching fields.This paper summarizes the overview of the BOPPPS teaching model,its application in emergency teach...The BOPPPS teaching model is a student-centered teaching model that has been widely applied in various teaching fields.This paper summarizes the overview of the BOPPPS teaching model,its application in emergency teaching and training,as well as its advantages and disadvantages,aiming to provide references for the further promotion and application of the BOPPPS teaching model in emergency education.展开更多
This study analyzed how impressions are formed online depending on the type of social media and the implications that may come from the over-disclosure of information. Using a Qualtrics survey, 97 participants viewed ...This study analyzed how impressions are formed online depending on the type of social media and the implications that may come from the over-disclosure of information. Using a Qualtrics survey, 97 participants viewed the profile of a female teaching assistant on Twitter and Facebook. While there was little difference between the two social media, the use of self-disclosure on Twitter seemed slightly more inappropriate for sharing personal information.展开更多
This paper introduces the experience and practice in constructing the practical teaching system for the course“Electric Machine and Drive.”In response to the current status of cultivating innovative practical abilit...This paper introduces the experience and practice in constructing the practical teaching system for the course“Electric Machine and Drive.”In response to the current status of cultivating innovative practical abilities among electrical engineering majors,based on the independently developed virtual simulation experimental teaching platform for Electric Machine and Drive,a stepped practical teaching process consisting of“classroom teaching-experimental teaching-comprehensive training-scientific inquiry”has been elaborately designed.A hierarchical practical teaching model for the second classroom has also been established.With teaching objectives as the optimization index,the teaching content,methods and means have been optimized;the teaching process has been organized and implemented in the form of team collaboration,thus constructing a comprehensive,stepped,hierarchical,and closed-loop innovative practical teaching system.This achievement provides references and assistance for the practical teaching of the same or similar majors in other colleges and universities.展开更多
College students’safety education is an important part of the fundamental task of fostering virtue through education in colleges and universities.A questionnaire survey at J University shows that the popularization d...College students’safety education is an important part of the fundamental task of fostering virtue through education in colleges and universities.A questionnaire survey at J University shows that the popularization degree and teaching satisfaction of college students’safety education are relatively high,but the teaching content and teaching forms still need improvement.With the rapid development of artificial intelligence technology and considering the char-acteristics of college students’online learning in the new era,carrying out the SPOC+PBL blended teaching reform not only helps to enhance the effectiveness of theoretical and practical teaching but also contributes to optimizing the teach-ing evaluation and feedback mechanism and strengthening students’problem-solving abilities.Therefore,we should adhere to the goal orientation,meticulously design the teaching plan,highlight the student-centered approach,focus on integrating teaching resources,strengthen process management,promptly provide feedback and guidance,empower with data,and continuously improve teaching evaluation.Thus,a student-centered SPOC+PBL blended teaching sys-tem can be constructed to empower the transformation and innovation of talent cultivation in higher education.展开更多
Curriculum ideological and political education is an important direction of higher education reform in the new era,aiming to realize the organic integration of professional knowledge imparting and ideological and poli...Curriculum ideological and political education is an important direction of higher education reform in the new era,aiming to realize the organic integration of professional knowledge imparting and ideological and political education.Taking preliminary landscape design course as an example,this paper expounded in detail the implementation of teaching reform from three aspects:the formulation of teaching objectives,the integration of teaching contents and the innovation of teaching methods.This paper systematically summarized the implementation effect of ideological and political education reform,and reflected on the excavation of ideological and political elements,integration degree,innovation of teaching methods,teachers’ideological and political ability and practical teaching.The exploration on curriculum ideological and political teaching provides useful reference and thinking for similar courses,and promotes the sustainable development of curriculum ideological and political education.展开更多
Practical jurisprudence is a completely new proposition in legal education and research.The introduction of the concept of“practical jurisprudence”in the teaching of the Civil Procedure Law of the People’s Republic...Practical jurisprudence is a completely new proposition in legal education and research.The introduction of the concept of“practical jurisprudence”in the teaching of the Civil Procedure Law of the People’s Republic of China(the“Civil Procedure Law”)is a major innovation in terms of values and methodology.Practical jurisprudence focuses more on practical issues,Chinese characteristics,and major needs,while strengthening the practical nature of the Civil Procedure Law.China’s traditional education system for juris masters(for non-law graduates)(“non-law JMs”)emphasizes the development of foundational legal theoretical knowledge.However,it has not fully achieved its goal of cultivating interdisciplinary and practical legal professionals.Therefore,the traditional education system for the Civil Procedure Law needs reconstruction and supplementation through the practical jurisprudence teaching system in the following areas:(a)System composition:The focus should be on the eight tertiary subsystems under the two secondary subsystems—“the knowledge teaching system and the practical teaching system”of practical jurisprudence in the Civil Procedure Law,as well as the management of their interrelationships.(b)Credit structure:The proportion of credits for“practical teaching and training”should be increased.(c)Practical ability requirements:Legal professionals should be cultivated according to the standards for juris masters(for law graduates)as stipulated by the Law of the People’s Republic of China on Academic Degrees.(d)Practice evaluation:“Formalization of the evaluations,”“homogeneity of the evaluators,”and“reliance on written formats”should be avoided.展开更多
基金supported by the Autonomous Region Industry-Education Integration Project“Application of DNA Methylation Combined with Spiral CT in the Screening of Pulmonary Ground-Glass Nodules and AI Recognition Systems in Teaching Practice”(Project No.2023210016)the“Open Project of the State Key Laboratory of High Incidence Diseases in Central Asia”(Project No.SKL-HIDCA-2021-28).
文摘Objective:To explore the effectiveness of multi-modal teaching based on an online case library in the education of gene methylation combined with spiral computed tomography(CT)screening for pulmonary ground-glass opacity(GGO)nodules.Methods:From October 2023 to April 2024,66 medical imaging students were selected and randomly divided into a control group and an observation group,each with 33 students.The control group received traditional lecture-based teaching,while the observation group was taught using a multi-modal teaching approach based on an online case library.Performance on assessments and teaching quality were analyzed between the two groups.Results:The observation group achieved higher scores in theoretical and practical knowledge compared to the control group(P<0.05).Additionally,the teaching quality scores were significantly higher in the observation group(P<0.05).Conclusion:Implementing multi-modal teaching based on an online case library for pulmonary GGO nodule screening with gene methylation combined with spiral CT can enhance students’knowledge acquisition,improve teaching quality,and have significant clinical application value.
基金Supported by Education and Teaching Reform and Research Project of Xi'an University of Science and Technology(JG14110)Cultivation Fund of Xi'an University of Science and Technology(201640)Science and Technology Innovation Team Fund of College of Architecture and Civil Engineering(17JGCXTD004)
文摘Taking the teaching practice of agricultural landscape planning for example,this paper uses the multi-modal teaching idea for teaching design based on traditional lecture-style teaching,including multi-modal teaching materials,multi-modal teaching methods and multi-modal teaching evaluation. The results show that this method can effectively improve students' interest in learning,reinforce the theoretical basis of agricultural landscape planning theory,and improve agricultural landscape planning practical skills. It is the active exploration of multi-modal teaching model and useful complement to traditional classroom teaching.
文摘Objective: to observe the application effect of multi-modal teaching method in clinical anesthesiology teaching. Methods: a total of 50 anesthesiology students who practiced in our hospital from September 2020 to August 2021 were selected for research. According to different teaching methods, 25 students in the control group received conventional teaching, and 25 students in the research group received multimodal teaching, comparing students' assessment results, learning excellence rate and teaching quality assessment results. Results: the examination scores of students in the study group in anesthesia preparation, tracheal intubation, general anesthesia and local anesthesia, and anesthesia evaluation were all higher than those in the control group (P<0.05). The teaching quality evaluation results of the research group were better than those of the control group (P<0.05);the student satisfaction rate of the research group was 100.0% higher than that of the control group (84.0%) (P<0.05). Conclusion: the application of multi-mode teaching method in clinical teaching can improve the operation level of anesthesiology students and improve their comprehensive quality. The teaching quality is good, which has been widely recognized by students.
基金Construction Program of the Key Discipline of State Administration of Traditional Chinese Medicine of China(ZYYZDXK-2023069)Research Project of Shanghai Municipal Health Commission (2024QN018)Shanghai University of Traditional Chinese Medicine Science and Technology Development Program (23KFL005)。
文摘Objective To develop a non-invasive predictive model for coronary artery stenosis severity based on adaptive multi-modal integration of traditional Chinese and western medicine data.Methods Clinical indicators,echocardiographic data,traditional Chinese medicine(TCM)tongue manifestations,and facial features were collected from patients who underwent coro-nary computed tomography angiography(CTA)in the Cardiac Care Unit(CCU)of Shanghai Tenth People's Hospital between May 1,2023 and May 1,2024.An adaptive weighted multi-modal data fusion(AWMDF)model based on deep learning was constructed to predict the severity of coronary artery stenosis.The model was evaluated using metrics including accura-cy,precision,recall,F1 score,and the area under the receiver operating characteristic(ROC)curve(AUC).Further performance assessment was conducted through comparisons with six ensemble machine learning methods,data ablation,model component ablation,and various decision-level fusion strategies.Results A total of 158 patients were included in the study.The AWMDF model achieved ex-cellent predictive performance(AUC=0.973,accuracy=0.937,precision=0.937,recall=0.929,and F1 score=0.933).Compared with model ablation,data ablation experiments,and various traditional machine learning models,the AWMDF model demonstrated superior per-formance.Moreover,the adaptive weighting strategy outperformed alternative approaches,including simple weighting,averaging,voting,and fixed-weight schemes.Conclusion The AWMDF model demonstrates potential clinical value in the non-invasive prediction of coronary artery disease and could serve as a tool for clinical decision support.
基金2024 Anqing Normal University University-Level Key Project(ZK2024062D)。
文摘This study examines the Big Data Collection and Preprocessing course at Anhui Institute of Information Engineering,implementing a hybrid teaching reform using the Bosi Smart Learning Platform.The proposed hybrid model follows a“three-stage”and“two-subject”framework,incorporating a structured design for teaching content and assessment methods before,during,and after class.Practical results indicate that this approach significantly enhances teaching effectiveness and improves students’learning autonomy.
基金Textile Light-Higher Education Teaching Reform Research Project of China Textile Industry Federation(2021BKJGLX362)China Higher Education Association 2023 Higher Education Scientific Research Planning Project“Vocational Education Service Regional Economic and Social Development Research”(23ZYJ0217)Liaoning Province Education Science“14th Five-Year Plan”Project“Research on the Correlation Between Higher Vocational Education and Intra-Regional Economy in Northeast China”(JGEB247)。
文摘The development of a new round of artificial intelligence(AI)science and technology provided good technical support and condition guarantee for college English teaching,but it also brought new challenges.It is necessary and inevitable for English teaching to experience reform and innovation.China’s AI digital teaching transformation is in the exploratory stage,and AI teaching mode has become the focus of future teaching development.Herein we propose a research method of integrating AI tools in college English teaching to adapt to the personalized learning of the new generation of college students,make the teaching process efficiently integrate the tide of the development of AI,promote the development of education evaluation system more accurately,and provide theoretical and data references for college English teaching reform.
文摘This study aims to explore the characteristics of novice teachers’inappropriate behaviors in classroom teaching and their intervention strategies.With the continuous improvement of education quality,novice teachers face increasing challenges in teaching practice.Their inappropriate behaviors not only affect the classroom atmosphere but may also negatively impact students’learning outcomes.Therefore,researching the characteristics of novice teachers’inappropriate behaviors and their intervention strategies holds significant scientific and social value.This study employs a combination of quantitative and qualitative methods to analyze the behavioral patterns of novice teachers in classroom teaching and proposes corresponding intervention strategies.The results indicate that novice teachers’inappropriate behaviors mainly manifest as poor classroom management,monotonous teaching methods,and insufficient interaction with students.Based on these findings,the study proposes a series of effective intervention strategies,including enhancing teacher training,optimizing teaching design,and promoting positive interactions between teachers and students.The conclusions of the study not only provide practical guidance for educational practice but also point out directions for future research,emphasizing the crucial role of teacher professional development in improving teaching quality.
文摘As new-generation intelligent technologies rapidly evolve,enhancing artificial intelligence(AI)education has become a global consensus,and improving AI literacy is a key focus in higher education.To address the lack of relevant knowledge among non-computer science students,the complexity of the material,which leads to low interest and high difficulty in learning,this paper proposes a three-pronged teaching design model:“BOPPPS model+large language models(LLMs)+mind maps with 3w2h”.This model aims to assist teachers in designing practical teaching cases and engaging,interactive activities,and provides examples of its application to help teachers better teach AI and improve the AI literacy of non-computer science students.
基金funded by Research Project,grant number BHQ090003000X03.
文摘Multi-modal Named Entity Recognition(MNER)aims to better identify meaningful textual entities by integrating information from images.Previous work has focused on extracting visual semantics at a fine-grained level,or obtaining entity related external knowledge from knowledge bases or Large Language Models(LLMs).However,these approaches ignore the poor semantic correlation between visual and textual modalities in MNER datasets and do not explore different multi-modal fusion approaches.In this paper,we present MMAVK,a multi-modal named entity recognition model with auxiliary visual knowledge and word-level fusion,which aims to leverage the Multi-modal Large Language Model(MLLM)as an implicit knowledge base.It also extracts vision-based auxiliary knowledge from the image formore accurate and effective recognition.Specifically,we propose vision-based auxiliary knowledge generation,which guides the MLLM to extract external knowledge exclusively derived from images to aid entity recognition by designing target-specific prompts,thus avoiding redundant recognition and cognitive confusion caused by the simultaneous processing of image-text pairs.Furthermore,we employ a word-level multi-modal fusion mechanism to fuse the extracted external knowledge with each word-embedding embedded from the transformerbased encoder.Extensive experimental results demonstrate that MMAVK outperforms or equals the state-of-the-art methods on the two classical MNER datasets,even when the largemodels employed have significantly fewer parameters than other baselines.
基金funded by Research Project,grant number BHQ090003000X03。
文摘Multi-modal knowledge graph completion(MMKGC)aims to complete missing entities or relations in multi-modal knowledge graphs,thereby discovering more previously unknown triples.Due to the continuous growth of data and knowledge and the limitations of data sources,the visual knowledge within the knowledge graphs is generally of low quality,and some entities suffer from the issue of missing visual modality.Nevertheless,previous studies of MMKGC have primarily focused on how to facilitate modality interaction and fusion while neglecting the problems of low modality quality and modality missing.In this case,mainstream MMKGC models only use pre-trained visual encoders to extract features and transfer the semantic information to the joint embeddings through modal fusion,which inevitably suffers from problems such as error propagation and increased uncertainty.To address these problems,we propose a Multi-modal knowledge graph Completion model based on Super-resolution and Detailed Description Generation(MMCSD).Specifically,we leverage a pre-trained residual network to enhance the resolution and improve the quality of the visual modality.Moreover,we design multi-level visual semantic extraction and entity description generation,thereby further extracting entity semantics from structural triples and visual images.Meanwhile,we train a variational multi-modal auto-encoder and utilize a pre-trained multi-modal language model to complement the missing visual features.We conducted experiments on FB15K-237 and DB13K,and the results showed that MMCSD can effectively perform MMKGC and achieve state-of-the-art performance.
基金The 2023 Qingdao Institute of Technology Campus-Level Teaching and Research Project“Research on Project-Based Teaching Model for Engineering Majors in Colleges and Universities”(2023JY005)。
文摘Based on the study of the Mechanical Design and Automation major and its relevance to teaching reform in higher education engineering programs,a project-based teaching model was introduced.This approach integrates teaching design,scheme argumentation,and the implementation of teaching activities with the project serving as the central framework.Course knowledge points are derived from the project topics,forming the foundation for a structured knowledge framework.The course content is modularized in alignment with the project design,enabling students to engage with professional courses on a module-by-module basis,guided by the project.Each course utilizes the project topic as a practical case,facilitating project-led teaching.A teaching system tailored to the research project is proposed,establishing a professional course structure closely linked to the project objectives.
文摘"Sichuan Cuisine Cooking Skills"is a course that focuses on the traditional cooking skills of Sichuan Province in China.It covers not only the historical and cultural background of Sichuan cuisine,but also the cooking techniques,ingredients selection,seasoning skills and dish innovation of Sichuan cuisine.Doing a good job in the teaching of"Sichuan Cuisine Cooking Skills"is of great significance to the cultivation and reserve of culinary professionals in China,and also has an important impact on students'employment competitiveness.Under the background of"new engineering education",the course reform of"Sichuan Cuisine Cooking Skills"was carried out in terms of the construction of teaching staff,teaching methods,students'participation degree and the innovation of course content,and specific reform suggestions were put forward,hoping to effectively promote the sustainable development of"Sichuan Cuisine Cooking Skills"and effectively improve the teaching quality.
基金supported by the Deanship of Research and Graduate Studies at King Khalid University under Small Research Project grant number RGP1/139/45.
文摘Integrating multiple medical imaging techniques,including Magnetic Resonance Imaging(MRI),Computed Tomography,Positron Emission Tomography(PET),and ultrasound,provides a comprehensive view of the patient health status.Each of these methods contributes unique diagnostic insights,enhancing the overall assessment of patient condition.Nevertheless,the amalgamation of data from multiple modalities presents difficulties due to disparities in resolution,data collection methods,and noise levels.While traditional models like Convolutional Neural Networks(CNNs)excel in single-modality tasks,they struggle to handle multi-modal complexities,lacking the capacity to model global relationships.This research presents a novel approach for examining multi-modal medical imagery using a transformer-based system.The framework employs self-attention and cross-attention mechanisms to synchronize and integrate features across various modalities.Additionally,it shows resilience to variations in noise and image quality,making it adaptable for real-time clinical use.To address the computational hurdles linked to transformer models,particularly in real-time clinical applications in resource-constrained environments,several optimization techniques have been integrated to boost scalability and efficiency.Initially,a streamlined transformer architecture was adopted to minimize the computational load while maintaining model effectiveness.Methods such as model pruning,quantization,and knowledge distillation have been applied to reduce the parameter count and enhance the inference speed.Furthermore,efficient attention mechanisms such as linear or sparse attention were employed to alleviate the substantial memory and processing requirements of traditional self-attention operations.For further deployment optimization,researchers have implemented hardware-aware acceleration strategies,including the use of TensorRT and ONNX-based model compression,to ensure efficient execution on edge devices.These optimizations allow the approach to function effectively in real-time clinical settings,ensuring viability even in environments with limited resources.Future research directions include integrating non-imaging data to facilitate personalized treatment and enhancing computational efficiency for implementation in resource-limited environments.This study highlights the transformative potential of transformer models in multi-modal medical imaging,offering improvements in diagnostic accuracy and patient care outcomes.
基金Scientific Research Program of Tianjin Municipal Education Commission(2023SK011)。
文摘The BOPPPS teaching model is a student-centered teaching model that has been widely applied in various teaching fields.This paper summarizes the overview of the BOPPPS teaching model,its application in emergency teaching and training,as well as its advantages and disadvantages,aiming to provide references for the further promotion and application of the BOPPPS teaching model in emergency education.
文摘This study analyzed how impressions are formed online depending on the type of social media and the implications that may come from the over-disclosure of information. Using a Qualtrics survey, 97 participants viewed the profile of a female teaching assistant on Twitter and Facebook. While there was little difference between the two social media, the use of self-disclosure on Twitter seemed slightly more inappropriate for sharing personal information.
基金Project of the 14th Five-Year Plan for Educational Science in Liaoning Province(JG24DB234)Project of Graduate Education and Teaching Reform Research in Liaoning Province(LNYJG2023115)。
文摘This paper introduces the experience and practice in constructing the practical teaching system for the course“Electric Machine and Drive.”In response to the current status of cultivating innovative practical abilities among electrical engineering majors,based on the independently developed virtual simulation experimental teaching platform for Electric Machine and Drive,a stepped practical teaching process consisting of“classroom teaching-experimental teaching-comprehensive training-scientific inquiry”has been elaborately designed.A hierarchical practical teaching model for the second classroom has also been established.With teaching objectives as the optimization index,the teaching content,methods and means have been optimized;the teaching process has been organized and implemented in the form of team collaboration,thus constructing a comprehensive,stepped,hierarchical,and closed-loop innovative practical teaching system.This achievement provides references and assistance for the practical teaching of the same or similar majors in other colleges and universities.
基金“Research on Mental Health Education of Poor College Students-Based on the Perspective of‘New Campus’”Philosophy and Social Science Research Project of Universities in Jiangsu Province(2019SJB912)“Research on Mental Health Education of Poor College Students-Based on the Perspective of‘New Campus’”Special Topic of Ideological and Political Education for College Students in 2018(JDXGXB201801)“Research on College English Teaching Strategies from the Perspective of the Theory of Multiple Intelligences”Jiangsu Provincial University Philosophy and Social Sciences Research Project(2023SJYB2216)。
文摘College students’safety education is an important part of the fundamental task of fostering virtue through education in colleges and universities.A questionnaire survey at J University shows that the popularization degree and teaching satisfaction of college students’safety education are relatively high,but the teaching content and teaching forms still need improvement.With the rapid development of artificial intelligence technology and considering the char-acteristics of college students’online learning in the new era,carrying out the SPOC+PBL blended teaching reform not only helps to enhance the effectiveness of theoretical and practical teaching but also contributes to optimizing the teach-ing evaluation and feedback mechanism and strengthening students’problem-solving abilities.Therefore,we should adhere to the goal orientation,meticulously design the teaching plan,highlight the student-centered approach,focus on integrating teaching resources,strengthen process management,promptly provide feedback and guidance,empower with data,and continuously improve teaching evaluation.Thus,a student-centered SPOC+PBL blended teaching sys-tem can be constructed to empower the transformation and innovation of talent cultivation in higher education.
基金Sponsored by Teaching Research Project of Yangtze University(JY2023028).
文摘Curriculum ideological and political education is an important direction of higher education reform in the new era,aiming to realize the organic integration of professional knowledge imparting and ideological and political education.Taking preliminary landscape design course as an example,this paper expounded in detail the implementation of teaching reform from three aspects:the formulation of teaching objectives,the integration of teaching contents and the innovation of teaching methods.This paper systematically summarized the implementation effect of ideological and political education reform,and reflected on the excavation of ideological and political elements,integration degree,innovation of teaching methods,teachers’ideological and political ability and practical teaching.The exploration on curriculum ideological and political teaching provides useful reference and thinking for similar courses,and promotes the sustainable development of curriculum ideological and political education.
文摘Practical jurisprudence is a completely new proposition in legal education and research.The introduction of the concept of“practical jurisprudence”in the teaching of the Civil Procedure Law of the People’s Republic of China(the“Civil Procedure Law”)is a major innovation in terms of values and methodology.Practical jurisprudence focuses more on practical issues,Chinese characteristics,and major needs,while strengthening the practical nature of the Civil Procedure Law.China’s traditional education system for juris masters(for non-law graduates)(“non-law JMs”)emphasizes the development of foundational legal theoretical knowledge.However,it has not fully achieved its goal of cultivating interdisciplinary and practical legal professionals.Therefore,the traditional education system for the Civil Procedure Law needs reconstruction and supplementation through the practical jurisprudence teaching system in the following areas:(a)System composition:The focus should be on the eight tertiary subsystems under the two secondary subsystems—“the knowledge teaching system and the practical teaching system”of practical jurisprudence in the Civil Procedure Law,as well as the management of their interrelationships.(b)Credit structure:The proportion of credits for“practical teaching and training”should be increased.(c)Practical ability requirements:Legal professionals should be cultivated according to the standards for juris masters(for law graduates)as stipulated by the Law of the People’s Republic of China on Academic Degrees.(d)Practice evaluation:“Formalization of the evaluations,”“homogeneity of the evaluators,”and“reliance on written formats”should be avoided.
