The increasing fluency of advanced language models,such as GPT-3.5,GPT-4,and the recently introduced DeepSeek,challenges the ability to distinguish between human-authored and AI-generated academic writing.This situati...The increasing fluency of advanced language models,such as GPT-3.5,GPT-4,and the recently introduced DeepSeek,challenges the ability to distinguish between human-authored and AI-generated academic writing.This situation is raising significant concerns regarding the integrity and authenticity of academic work.In light of the above,the current research evaluates the effectiveness of Bidirectional Long Short-TermMemory(BiLSTM)networks enhanced with pre-trained GloVe(Global Vectors for Word Representation)embeddings to detect AIgenerated scientific Abstracts drawn from the AI-GA(Artificial Intelligence Generated Abstracts)dataset.Two core BiLSTM variants were assessed:a single-layer approach and a dual-layer design,each tested under static or adaptive embeddings.The single-layer model achieved nearly 97%accuracy with trainable GloVe,occasionally surpassing the deeper model.Despite these gains,neither configuration fully matched the 98.7%benchmark set by an earlier LSTMWord2Vec pipeline.Some runs were over-fitted when embeddings were fine-tuned,whereas static embeddings offered a slightly lower yet stable accuracy of around 96%.This lingering gap reinforces a key ethical and procedural concern:relying solely on automated tools,such as Turnitin’s AI-detection features,to penalize individuals’risks and unjust outcomes.Misclassifications,whether legitimate work is misread as AI-generated or engineered text,evade detection,demonstrating that these classifiers should not stand as the sole arbiters of authenticity.Amore comprehensive approach is warranted,one which weaves model outputs into a systematic process supported by expert judgment and institutional guidelines designed to protect originality.展开更多
Because the research paper of Alzheimer's disease(AD)new drug(GV-971)was suspected to be fraudulent,the author filed a lawsuit for infringement of reputation.A court in Shanghai rejected the lawsuit.Legal document...Because the research paper of Alzheimer's disease(AD)new drug(GV-971)was suspected to be fraudulent,the author filed a lawsuit for infringement of reputation.A court in Shanghai rejected the lawsuit.Legal documents openly support academic disputes and criticism.The FDA's approval of the listing of a new AD drug(aducanumab)is also full of controversy,and some scholars suspect that there are problems with clinical data(of course there are scholars who support the listing).Falsification of scientific research and papers is not uncommon in China.In 2021,more than 400 people were publicly investigated for falsification of papers(these papers published in SCI journals).The reason for the prevalence of falsification was related to the promotion policy,evaluation system and economic interests.Academic fraud was a serious waste of funds and corrupted the academic atmosphere.And hinder the development of science and technology.In the past two years,the government has successively promulgated a series of scientific research and academic integrity norms,prohibiting the use of scientific research funds in international predatory journals,advocating the purification of the academic environment,and conducive to genuine innovative research.The court respects science,administration does not interfere with academics,and advocates peer review.The first-instance judgment may be a landmark event for China.展开更多
We conducted and analyzed several internet surveys in order to understand the profile of global research integrity and ethical awareness,encompassing global population distribution.These were(1)the global distribution...We conducted and analyzed several internet surveys in order to understand the profile of global research integrity and ethical awareness,encompassing global population distribution.These were(1)the global distribution of Committee of Publishing Ethics(COPE)membership;(2)the global distribution of“Integrity”or“Ethics”journals;(3)the level of academic integrity awareness in European higher education institutions and(4)awareness of academic integrity in the top universities of Asia and Africa.The results of this survey series highlight seriously imbalanced awareness of research integrity and publishing ethics across the world,especially in developing areas with the highest population density.We therefore propose a new index,the“Academic Integrity Awareness Index”for future discussions across the linked spheres of publishing and research.展开更多
The modern research on basic concept inTCM deeply explored The papers in this congress are referring tothe research on Zhenghou(syndrome)theory,Five Element theory and Four Diagnosis theory by
The information technology assisted English teaching has witnessed fast development and entered the classroom through course integration process. The integration radically changes the essence of college English teachi...The information technology assisted English teaching has witnessed fast development and entered the classroom through course integration process. The integration radically changes the essence of college English teaching, and therefore the traditional teaching mode has been challenged. In other words, information technology has become an integral part in today＇ s web-based college English teaching classroom. This paper attempts to read in detail about the Boyer＇ s teaching academic thought. Combined with the current situation of college English teaching, this paper discusses the feasibility of teaching academic thinking is applied to the English network teaching. A model is established by exploratory factor analysis and confirmatory factor analysis. Through the way of questionnaire to the research on the college English network teaching, so as to put forward the solutions and improve the quality of teaching.展开更多
Background:The rapid integration of generative artificial intelligence(genAI)into medical education offers significant opportunities for personalized learning,efficiency,and access.However,its implementation also rais...Background:The rapid integration of generative artificial intelligence(genAI)into medical education offers significant opportunities for personalized learning,efficiency,and access.However,its implementation also raises complex ethical concerns that,if unaddressed,may compromise academic integrity,professional identity,and learner equity.This review aimed to identify the primary ethical risks associated with genAI use in medical education and propose solid measures to mitigate these issues.Methods:A structured narrative review was conducted in accordance with the Scale for the Assessment of Narrative Review Articles(SANRA).A focused literature search was performed across PubMed/MEDLINE and Google Scholar for peer-reviewed,English-language articles published from January 2023 to May 2025.Studies were included if they addressed ethical issues in the use of genAI in undergraduate or postgraduate medical education.Data were extracted into related themes,and findings were synthesized into risk and mitigation categories.Results:A total of 27 records were included.Eight principal categories of ethical risks associated with genAI in medical education emerged:(1)academic integrity erosion,(2)cognitive deskilling,(3)algorithmic bias and opacity,(4)privacy and surveillance concerns,(5)moral and humanistic diminishment,(6)faculty role displacement,(7)commercialization and inequity,and(8)legal-regulatory ambiguity.Each risk was matched with targeted mitigation strategies proposed in the literature,including institutional genAI governance frameworks,genAI literacy training,reinforcement of humanistic pedagogy,establishment of ethical oversight bodies,curricular integration of ethical reflexivity,equity-centered implementation policies,faculty development for genAI integration,and transparent data governance protocols.Conclusion:Generative AI presents both transformative promise and substantial ethical risks in medical education.Proactive,ethically grounded integration-guided by institutional oversight,curriculum reform,and equity safeguards-is essential to realize its benefits while protecting the integrity and humanity of medical training.展开更多
This study investigates how universities are developing normativeframeworks to regulate the use of generative AI tools in higher education, with aparticular focus on balancing empowerment and discipline. Drawing on th...This study investigates how universities are developing normativeframeworks to regulate the use of generative AI tools in higher education, with aparticular focus on balancing empowerment and discipline. Drawing on theoreticallenses such as Foucault’s discipline theory and contemporary AI ethics, the paperanalyzes policy documents from institutions including Harvard, Oxford, and severaltop Chinese universities. Using Latent Dirichlet Allocation (LDA) topic modeling,the study reveals five dominant governance themes—ranging from academicintegrity enforcement to pedagogical empowerment. The findings highlight a globalshift from restrictive to balanced, ethics-informed AI governance, with significantdisciplinary variations. The paper concludes by proposing a “principledpermissiveness” model that combines transparency, accountability, andpedagogical innovation in future AI governance.展开更多
With artificial intelligence’s rapid progress,language models like ChatGPT are entering higher education,offering opportunities and risks.We surveyed faculty and graduate students at Henan Medical University to exami...With artificial intelligence’s rapid progress,language models like ChatGPT are entering higher education,offering opportunities and risks.We surveyed faculty and graduate students at Henan Medical University to examine ChatGPT’s role in graduate neuroscience teaching.Quantitative analyses profiled awareness,usage patterns,perceived roles,effectiveness,and concerns.Overall usage remained below 50%.Faculty and students most often used ChatGPT for reference consultation,research support,and academic writing;user experience was generally positive.Respondents reported benefits for information and resource integration(78.42%),comprehension of complex concepts(74.10%),learning interest and engagement(62.59%),personalized learning(50.36%),and timely feedback with abundant resources(65.47%).Nevertheless,participants highlighted challenges including information accuracy,academic integrity,and technological dependence,which could impede independent learning and critical thinking.Many favored broader,well-guided adoption paired with training.We conclude that ChatGPT can meaningfully support graduate neuroscience education when integrated with human instruction,rigorous verification,and clear ethical safeguards.Future work should evaluate learning outcomes longitudinally,develop evidence-based implementation frameworks,and address equity and privacy to realize sustainable impact in specialized domains.展开更多
SPECIAL|Eyes on Academic Publishing in AI Era At a time when artificial intelligence(AI)is permeating many aspects of human life,academic publishing is faced with new challenges:How should academic journals safeguard ...SPECIAL|Eyes on Academic Publishing in AI Era At a time when artificial intelligence(AI)is permeating many aspects of human life,academic publishing is faced with new challenges:How should academic journals safeguard scholarly quality and research integrity against AI misuse?How should we improve efficiency with the aid of AI?展开更多
With the rapid advancement of AI technology,especially the emergence of generative AI such as ChatGPT and ERNIE Bot,the field of education is undergoing profound changes.While they change the way information is obtain...With the rapid advancement of AI technology,especially the emergence of generative AI such as ChatGPT and ERNIE Bot,the field of education is undergoing profound changes.While they change the way information is obtained and processed,these AI technologies challenge traditional teaching models.Based on evaluating the feasibility of various generative AI tools for teaching and comparing their respective advantages and disadvantages,this paper delves into the application scenarios of these generative AI tools in English reading,writing,and translation,and explores their specific applications in the pre-class,in-class,and post-class parts of“College English Reading,Writing,and Translation”.It is hoped that through innovative teaching methods,both students’learning effectiveness and teachers’teaching efficiency can be improved.At the same time,it is crucial to guide students in recognizing the misinformation and biases that exist in generative AI,while emphasizing the significance of originality and intellectual property.Moreover,their critical thinking skills and proper academic concepts could be cultivated and help them prevent academic misconduct.展开更多
Scientific integrity is a learned skill.When researchers and students learn integrity in laboratories or in the classroom,they are empowered to use similar principles in other aspects of their lives.This commentary re...Scientific integrity is a learned skill.When researchers and students learn integrity in laboratories or in the classroom,they are empowered to use similar principles in other aspects of their lives.This commentary reviews the concepts related to scientific integrity at a time when science faces important challenges related to the increase number of articles produced regarding research on coronavirus disease 2019(COVID-19).Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)has ignited another parallel viral pandemic,with science ranging from robust studies to dishonest studies being conducted,posted,and shared at an unprecedented rate.A balance is needed between the benefits of the rapid access to new scientific data and the threat of causing panic or erroneous clinical decisions based on mistakes or misconduct.The truth is that the“scientific research has changed the world”but now,and more than ever,“it needs to change itself”.A pandemic with a“paperdemic”will be even more complicated to manage if it progresses in an uncontrolled manner and is not properly scrutinized.展开更多
It has been recognized that international students studying in non-Anglophone countries face more challenges in integrating into local higher education institutions for a number of reasons,such as the local language b...It has been recognized that international students studying in non-Anglophone countries face more challenges in integrating into local higher education institutions for a number of reasons,such as the local language barrier and cultural differences.This study aims to understand the challenges and coping strategies of academic integration in non-Anglophone countries from the students’perceptive,taking Chinese students as an example and using a qualitative approach based on semi-structured interviews with 58 Chinese students in Germany and Finland.It shows that,despite learning environment differences between Finland and Germany,Chinese students face similar challenges,including individual ones,such as the mismatch between their academic background and learning requirements,or contextual ones,such as a lack of consideration for international students in the pedagogical approach and curriculum design adopted by the host higher education institutions.The results challenge the existing stereotype of Chinese students and present evidence of students’resourcefulness in generating novel approaches to develop their learning capabilities.It also shows that traditional learning techniques may be used as pathways to achieving deep learning and understanding.展开更多
文摘The increasing fluency of advanced language models,such as GPT-3.5,GPT-4,and the recently introduced DeepSeek,challenges the ability to distinguish between human-authored and AI-generated academic writing.This situation is raising significant concerns regarding the integrity and authenticity of academic work.In light of the above,the current research evaluates the effectiveness of Bidirectional Long Short-TermMemory(BiLSTM)networks enhanced with pre-trained GloVe(Global Vectors for Word Representation)embeddings to detect AIgenerated scientific Abstracts drawn from the AI-GA(Artificial Intelligence Generated Abstracts)dataset.Two core BiLSTM variants were assessed:a single-layer approach and a dual-layer design,each tested under static or adaptive embeddings.The single-layer model achieved nearly 97%accuracy with trainable GloVe,occasionally surpassing the deeper model.Despite these gains,neither configuration fully matched the 98.7%benchmark set by an earlier LSTMWord2Vec pipeline.Some runs were over-fitted when embeddings were fine-tuned,whereas static embeddings offered a slightly lower yet stable accuracy of around 96%.This lingering gap reinforces a key ethical and procedural concern:relying solely on automated tools,such as Turnitin’s AI-detection features,to penalize individuals’risks and unjust outcomes.Misclassifications,whether legitimate work is misread as AI-generated or engineered text,evade detection,demonstrating that these classifiers should not stand as the sole arbiters of authenticity.Amore comprehensive approach is warranted,one which weaves model outputs into a systematic process supported by expert judgment and institutional guidelines designed to protect originality.
文摘Because the research paper of Alzheimer's disease(AD)new drug(GV-971)was suspected to be fraudulent,the author filed a lawsuit for infringement of reputation.A court in Shanghai rejected the lawsuit.Legal documents openly support academic disputes and criticism.The FDA's approval of the listing of a new AD drug(aducanumab)is also full of controversy,and some scholars suspect that there are problems with clinical data(of course there are scholars who support the listing).Falsification of scientific research and papers is not uncommon in China.In 2021,more than 400 people were publicly investigated for falsification of papers(these papers published in SCI journals).The reason for the prevalence of falsification was related to the promotion policy,evaluation system and economic interests.Academic fraud was a serious waste of funds and corrupted the academic atmosphere.And hinder the development of science and technology.In the past two years,the government has successively promulgated a series of scientific research and academic integrity norms,prohibiting the use of scientific research funds in international predatory journals,advocating the purification of the academic environment,and conducive to genuine innovative research.The court respects science,administration does not interfere with academics,and advocates peer review.The first-instance judgment may be a landmark event for China.
文摘We conducted and analyzed several internet surveys in order to understand the profile of global research integrity and ethical awareness,encompassing global population distribution.These were(1)the global distribution of Committee of Publishing Ethics(COPE)membership;(2)the global distribution of“Integrity”or“Ethics”journals;(3)the level of academic integrity awareness in European higher education institutions and(4)awareness of academic integrity in the top universities of Asia and Africa.The results of this survey series highlight seriously imbalanced awareness of research integrity and publishing ethics across the world,especially in developing areas with the highest population density.We therefore propose a new index,the“Academic Integrity Awareness Index”for future discussions across the linked spheres of publishing and research.
文摘The modern research on basic concept inTCM deeply explored The papers in this congress are referring tothe research on Zhenghou(syndrome)theory,Five Element theory and Four Diagnosis theory by
文摘The information technology assisted English teaching has witnessed fast development and entered the classroom through course integration process. The integration radically changes the essence of college English teaching, and therefore the traditional teaching mode has been challenged. In other words, information technology has become an integral part in today＇ s web-based college English teaching classroom. This paper attempts to read in detail about the Boyer＇ s teaching academic thought. Combined with the current situation of college English teaching, this paper discusses the feasibility of teaching academic thinking is applied to the English network teaching. A model is established by exploratory factor analysis and confirmatory factor analysis. Through the way of questionnaire to the research on the college English network teaching, so as to put forward the solutions and improve the quality of teaching.
文摘Background:The rapid integration of generative artificial intelligence(genAI)into medical education offers significant opportunities for personalized learning,efficiency,and access.However,its implementation also raises complex ethical concerns that,if unaddressed,may compromise academic integrity,professional identity,and learner equity.This review aimed to identify the primary ethical risks associated with genAI use in medical education and propose solid measures to mitigate these issues.Methods:A structured narrative review was conducted in accordance with the Scale for the Assessment of Narrative Review Articles(SANRA).A focused literature search was performed across PubMed/MEDLINE and Google Scholar for peer-reviewed,English-language articles published from January 2023 to May 2025.Studies were included if they addressed ethical issues in the use of genAI in undergraduate or postgraduate medical education.Data were extracted into related themes,and findings were synthesized into risk and mitigation categories.Results:A total of 27 records were included.Eight principal categories of ethical risks associated with genAI in medical education emerged:(1)academic integrity erosion,(2)cognitive deskilling,(3)algorithmic bias and opacity,(4)privacy and surveillance concerns,(5)moral and humanistic diminishment,(6)faculty role displacement,(7)commercialization and inequity,and(8)legal-regulatory ambiguity.Each risk was matched with targeted mitigation strategies proposed in the literature,including institutional genAI governance frameworks,genAI literacy training,reinforcement of humanistic pedagogy,establishment of ethical oversight bodies,curricular integration of ethical reflexivity,equity-centered implementation policies,faculty development for genAI integration,and transparent data governance protocols.Conclusion:Generative AI presents both transformative promise and substantial ethical risks in medical education.Proactive,ethically grounded integration-guided by institutional oversight,curriculum reform,and equity safeguards-is essential to realize its benefits while protecting the integrity and humanity of medical training.
文摘This study investigates how universities are developing normativeframeworks to regulate the use of generative AI tools in higher education, with aparticular focus on balancing empowerment and discipline. Drawing on theoreticallenses such as Foucault’s discipline theory and contemporary AI ethics, the paperanalyzes policy documents from institutions including Harvard, Oxford, and severaltop Chinese universities. Using Latent Dirichlet Allocation (LDA) topic modeling,the study reveals five dominant governance themes—ranging from academicintegrity enforcement to pedagogical empowerment. The findings highlight a globalshift from restrictive to balanced, ethics-informed AI governance, with significantdisciplinary variations. The paper concludes by proposing a “principledpermissiveness” model that combines transparency, accountability, andpedagogical innovation in future AI governance.
基金supported by the Henan Province Graduate Education Reform and Quality Enhancement Program(YJS2024ZX26,YJS2023JD25)Henan Province Higher Education Teaching Reform Research and Practice Project(Graduate Education Category)(2023SJGLX234Y)Henan Medical University Education and Teaching Reform Research and Practice Project(2024-XYJG-78).
文摘With artificial intelligence’s rapid progress,language models like ChatGPT are entering higher education,offering opportunities and risks.We surveyed faculty and graduate students at Henan Medical University to examine ChatGPT’s role in graduate neuroscience teaching.Quantitative analyses profiled awareness,usage patterns,perceived roles,effectiveness,and concerns.Overall usage remained below 50%.Faculty and students most often used ChatGPT for reference consultation,research support,and academic writing;user experience was generally positive.Respondents reported benefits for information and resource integration(78.42%),comprehension of complex concepts(74.10%),learning interest and engagement(62.59%),personalized learning(50.36%),and timely feedback with abundant resources(65.47%).Nevertheless,participants highlighted challenges including information accuracy,academic integrity,and technological dependence,which could impede independent learning and critical thinking.Many favored broader,well-guided adoption paired with training.We conclude that ChatGPT can meaningfully support graduate neuroscience education when integrated with human instruction,rigorous verification,and clear ethical safeguards.Future work should evaluate learning outcomes longitudinally,develop evidence-based implementation frameworks,and address equity and privacy to realize sustainable impact in specialized domains.
文摘SPECIAL|Eyes on Academic Publishing in AI Era At a time when artificial intelligence(AI)is permeating many aspects of human life,academic publishing is faced with new challenges:How should academic journals safeguard scholarly quality and research integrity against AI misuse?How should we improve efficiency with the aid of AI?
基金Teaching Reform Program of Guangxi University of Chinese Medicine(XGJ23097,2024B028),Teaching Reform Program of Guangxi Higher Education(2024JGB229).
文摘With the rapid advancement of AI technology,especially the emergence of generative AI such as ChatGPT and ERNIE Bot,the field of education is undergoing profound changes.While they change the way information is obtained and processed,these AI technologies challenge traditional teaching models.Based on evaluating the feasibility of various generative AI tools for teaching and comparing their respective advantages and disadvantages,this paper delves into the application scenarios of these generative AI tools in English reading,writing,and translation,and explores their specific applications in the pre-class,in-class,and post-class parts of“College English Reading,Writing,and Translation”.It is hoped that through innovative teaching methods,both students’learning effectiveness and teachers’teaching efficiency can be improved.At the same time,it is crucial to guide students in recognizing the misinformation and biases that exist in generative AI,while emphasizing the significance of originality and intellectual property.Moreover,their critical thinking skills and proper academic concepts could be cultivated and help them prevent academic misconduct.
基金supported by grants from CESPU[grant numbers TramTap-CESPU-2016,Chronic-TramTap_CESPU_2017 and TraTapMDMA-CESPU-2018]。
文摘Scientific integrity is a learned skill.When researchers and students learn integrity in laboratories or in the classroom,they are empowered to use similar principles in other aspects of their lives.This commentary reviews the concepts related to scientific integrity at a time when science faces important challenges related to the increase number of articles produced regarding research on coronavirus disease 2019(COVID-19).Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)has ignited another parallel viral pandemic,with science ranging from robust studies to dishonest studies being conducted,posted,and shared at an unprecedented rate.A balance is needed between the benefits of the rapid access to new scientific data and the threat of causing panic or erroneous clinical decisions based on mistakes or misconduct.The truth is that the“scientific research has changed the world”but now,and more than ever,“it needs to change itself”.A pandemic with a“paperdemic”will be even more complicated to manage if it progresses in an uncontrolled manner and is not properly scrutinized.
文摘It has been recognized that international students studying in non-Anglophone countries face more challenges in integrating into local higher education institutions for a number of reasons,such as the local language barrier and cultural differences.This study aims to understand the challenges and coping strategies of academic integration in non-Anglophone countries from the students’perceptive,taking Chinese students as an example and using a qualitative approach based on semi-structured interviews with 58 Chinese students in Germany and Finland.It shows that,despite learning environment differences between Finland and Germany,Chinese students face similar challenges,including individual ones,such as the mismatch between their academic background and learning requirements,or contextual ones,such as a lack of consideration for international students in the pedagogical approach and curriculum design adopted by the host higher education institutions.The results challenge the existing stereotype of Chinese students and present evidence of students’resourcefulness in generating novel approaches to develop their learning capabilities.It also shows that traditional learning techniques may be used as pathways to achieving deep learning and understanding.
