The learning of English academic vocabulary has been the focus of numerous studies from the time Coxhead(2000)developed the academic word list to the present day.Various researchers have emphasized the importance of p...The learning of English academic vocabulary has been the focus of numerous studies from the time Coxhead(2000)developed the academic word list to the present day.Various researchers have emphasized the importance of possessing academic vocabulary knowledge for academic success.Recognizing this importance,it is crucial for researchers,teachers,and learners to understand the progress made in academic word lists.This systematic review first identifies,describes,appraises,and synthesizes the development of academic word lists from 2000 to 2020.It then examines the methods used by researchers in developing academic word lists among 56 studies that meet the pre-established criteria.The word lists were classified based on some criteria such as word counting units,corpora types/sizes,and exclusion criteria.Limitations,suggestions for further study,and implications are also discussed.Additionally,recommendations for future word list establishment are provided to help advance the field of word list development.展开更多
BACKGROUND Renal cell carcinoma(RCC)is treated with surgical resection as the gold standard,as it is notoriously resistant to systemic therapy.Advancements with targeted therapies contribute to declining mortality,but...BACKGROUND Renal cell carcinoma(RCC)is treated with surgical resection as the gold standard,as it is notoriously resistant to systemic therapy.Advancements with targeted therapies contribute to declining mortality,but metastatic RCC(mRCC)survival remains poor.One possible factor is treatment at academic centers,which employ advanced providers and novel therapies.This study compared outcomes of mRCC in patients treated at academic/research facilities compared to those treated at non-academic centers.AIM To compare survival outcomes of mRCC and their various etiologies between academic and non-academic centers.METHODS The National Cancer Database was used to identify mRCC patients including all histology subtypes and stage IV disease.Descriptive statistics and Kaplan-Meier curves measured survival outcomes for user file facility types sorted into a binary academic/research and non-academic research variable.Multivariate logistic regression and Cox proportional hazard testing generated odds ratio and hazard ratio.Data was analyzed using Statistical Package for the Social Sciences version 29.0 using a significance level of P<0.05.RESULTS Overall,academic facility patients experienced greater 5-year and 10-year overall survival than non-academic facility patients.Treatment at non-academic facilities was associated with increased odds of death that persisted even after controlling for age,tumor size,sex,and distance traveled to treatment center.In comparison,nonacademic facility patients also experienced greater risk of hazard.CONCLUSION Patients with mRCC treated at academic/research facilities experienced increased survival compared to patients treated at non-academic facilities,were more likely to be younger,carry private insurance,and come from a large metropolitan area.They also were significantly more likely to receive surgery and adjuvant immunotherapy.展开更多
The traditional academic warning methods for students in higher vocational colleges are relatively backward,single,and have many influencing factors,which have a limited effect on improving their learning ability.A da...The traditional academic warning methods for students in higher vocational colleges are relatively backward,single,and have many influencing factors,which have a limited effect on improving their learning ability.A data set was established by collecting academic warning data of students in a certain university.The importance of the school,major,grade,and warning level for the students was analyzed using the Pearson correlation coefficient,random forest variable importance,and permutation importance.It was found that the characteristic of the major has a great impact on the academic warning level.Countermeasures such as dynamic adjustment of majors,reform of cognitive adaptation of courses,full-cycle academic support,and data-driven precise intervention were proposed to provide theoretical support and practical paths for universities to improve the efficiency of academic warning and enhance students’learning ability.展开更多
Historically,"big pharma"did most central nervous system drug discovery R&D in-house.Yet,in modern times their"management reductionism"resulted in disappointing pipelines and pharma resided to(...Historically,"big pharma"did most central nervous system drug discovery R&D in-house.Yet,in modern times their"management reductionism"resulted in disappointing pipelines and pharma resided to(late)development,regulatory approval,and marketing(Thong,2015).This had significant consequences for financing and executing research,resulting in a larger role for funding by governments and patient-organizations and a shift of research to academia(Mazzucato,2013).展开更多
The biggest influence on my career choice was my father,Peter L.Scardino,a Hopkins-trained urologist who loved his practice more than anything except his family.As a child,I spent time in his office.Later,he broughtme...The biggest influence on my career choice was my father,Peter L.Scardino,a Hopkins-trained urologist who loved his practice more than anything except his family.As a child,I spent time in his office.Later,he broughtme to the OR as an observer,and I was hooked.展开更多
BACKGROUND The impact of mental health,including anxiety,on academic performance has been studied in several countries,but few data exist for Sudan.AIM To investigate the correlation between anxiety scores and academi...BACKGROUND The impact of mental health,including anxiety,on academic performance has been studied in several countries,but few data exist for Sudan.AIM To investigate the correlation between anxiety scores and academic performance among adolescent schoolchildren in Northern Sudan.METHODS This cross-sectional study was carried out during the 2021–2022 academic year among schoolchildren from randomly selected schools in Almatamah locality,River Nile State,Northern Sudan.A questionnaire was used to collect the parti-cipants’sociodemographic data.Anxiety levels were assessed using the ques-tionnaire tools of the General Anxiety Disorder 7-item scale.Students’academic performance scores were obtained from school records.Multivariate linear regression was performed.RESULTS A total of 328 students participated in this study,comprising 156 boys(47.6%)and 172 girls(52.4%).The median[interquartile range(IQR)]age of the students was 14.9 years(13.9–15.6 years).The median(IQR)of the students’academic scores was 27.6%(22.2%–48.1%).The median(IQR)of the students’anxiety scores was 0(0–3).In univariate linear analysis,anxiety scores were positively associated with academic performance scores(coefficient=1.19,P value<0.001).In multivariate linear analysis,after controlling for age,sex,parental education,occupation,and body mass index-Z-score,anxiety scores were positively associated with academic performance scores(coefficient=0.60,P value<0.001).CONCLUSION The current study revealed a positive correlation between anxiety scores and students’academic performance scores.However,the association between mental health disorders,including anxiety,and academic performance is a complex issue.Therefore,further studies are recommended.展开更多
In October 2024,high-quality academic journals from Shanghai University,together with the Shanghai University biography Shanghai University:a Centennial Photobiography made their debut at the 76th Frankfurt Internatio...In October 2024,high-quality academic journals from Shanghai University,together with the Shanghai University biography Shanghai University:a Centennial Photobiography made their debut at the 76th Frankfurt International Book Fair,drawing worldwide readers’attention to the history of Shanghai University and the university-run academic journals.展开更多
Despite the increasing enrolment in higher education in sub-Saharan Africa,the systematic understanding of students’academic major satisfaction in these contexts has not received significant research interest.We exam...Despite the increasing enrolment in higher education in sub-Saharan Africa,the systematic understanding of students’academic major satisfaction in these contexts has not received significant research interest.We examined the academic major satisfaction of students in the Nigerian context by the sense of autonomy,competence,and relatedness.Participants were 452 students from Fine and Applied Arts(FAA,n=207,32.9%female,mean age=20.86,SD=3.40)and philosophy(n=245,42.9%female,mean age=21.43,SD=3.38 years)at a large Nigerian public university.They completed the Basic Needs Satisfaction Scale and the Academic Major Satisfaction Scale,as well as a socio-demographic questionnaire.Results following regression analysis and post-hoc t-tests indicated that while FAA students were more satisfied with their major than those in philosophy overall.Philosophy students reported significantly higher relatedness than the FAA students.FAA students did not rate autonomy and competence higher than Philosophy students.Within academic majors,high autonomy was associated with greater academic major satisfaction for only FAA students,whereas FAA and Philosophy students with high competence and relatedness reported increased academic major satisfaction.Findings suggest students self-determine their academic major satisfaction in the Nigerian educational setting by primarily autonomy and competence considerations.展开更多
BACKGROUND Dysfunctional beliefs about sleep may influence academic performance through their impact on sleep quality.Differences in chronotype can further moderate this relationship,particularly among students with i...BACKGROUND Dysfunctional beliefs about sleep may influence academic performance through their impact on sleep quality.Differences in chronotype can further moderate this relationship,particularly among students with irregular sleep patterns.AIM To examine the indirect effects of dysfunctional beliefs about sleep on academic performance through sleep quality while considering individual differences in chronotypes among medical students.METHODS The participants were categorized by chronotype and administered the Dysfunctional Beliefs and Attitudes about Sleep Scale and the Pittsburgh Sleep Quality Index and reported their grade point averages(GPAs).Mediation analysis was performed to examine indirect pathways through sleep quality.RESULTS Dysfunctional sleep beliefs did not directly affect academic success but indirectly impaired GPA via reduced sleep quality,especially in evening-type students.CONCLUSION Chronotype moderates the relationship between sleep quality and academic performance, highlighting the need for targeted cognitive interventions.展开更多
With the continuous advancement of artificial intelligence(AI)technology,personalized learning systems are increasingly applied in higher education.Particularly within STEM(Science,Technology,Engineering,and Mathemati...With the continuous advancement of artificial intelligence(AI)technology,personalized learning systems are increasingly applied in higher education.Particularly within STEM(Science,Technology,Engineering,and Mathematics)education,AI demonstrates significant advantages through adaptive learning pathways,instant feedback,and individualized resource allocation.However,current research predominantly focuses on the technical architecture and application effectiveness of such systems,with insufficient exploration of how AI-enabled personalized learning systems influence university students’learning motivation and academic achievement through educational psychological mechanisms.This paper adopts an educational psychology perspective to construct a causal mechanism model linking“learning motivation-learning behavior-academic achievement.”Findings indicate that AI-powered personalized learning systems enhance learning autonomy,boost self-efficacy,and optimize feedback mechanisms.These effects collectively stimulate university students’learning motivation in STEM disciplines,thereby promoting academic achievement.Building upon empirical research,this paper proposes implications for educational practice and policy formulation,emphasizing the necessity of advancing higher education reform through the dual influence of technology and psychological mechanisms.展开更多
As a follow-up to the successful International Conference on Biomaterials,Bio-Design and Manufacturing(BDMC)held at the National University of Singapore in 2023[1]and at the University of Tokyo in 2024[2],BDMC2025 too...As a follow-up to the successful International Conference on Biomaterials,Bio-Design and Manufacturing(BDMC)held at the National University of Singapore in 2023[1]and at the University of Tokyo in 2024[2],BDMC2025 took place at the University of Oxford in the UK from August 8th to August 10th this year.After the meeting,a participant from the University of Cambridge described his experience of attending BDMC2025 on the social media platform LinkedIn in the following terms:“Many thanks to the organizers for a fantastic event bringing together nearly everyone at the interface of Biofabrication,Materials Science,and Biomedical Engineering”[3].The conference was held on the campus of the University of Oxford and 190 researchers from 55 academic institutions across 10 countries and regions attended(Fig.1).展开更多
Advanced artificial intelligence technologies such as ChatGPT and other large language models(LLMs)have significantly impacted fields such as education and research in recent years.ChatGPT benefits students and educat...Advanced artificial intelligence technologies such as ChatGPT and other large language models(LLMs)have significantly impacted fields such as education and research in recent years.ChatGPT benefits students and educators by providing personalized feedback,facilitating interactive learning,and introducing innovative teaching methods.While many researchers have studied ChatGPT across various subject domains,few analyses have focused on the engineering domain,particularly in addressing the risks of academic dishonesty and potential declines in critical thinking skills.To address this gap,this study explores both the opportunities and limitations of ChatGPT in engineering contexts through a two-part analysis.First,we conducted experiments with ChatGPT to assess its effectiveness in tasks such as code generation,error checking,and solution optimization.Second,we surveyed 125 users,predominantly engineering students,to analyze ChatGPTs role in academic support.Our findings reveal that 93.60%of respondents use ChatGPT for quick academic answers,particularly among early-stage university students,and that 84.00%find it helpful for sourcing research materials.The study also highlights ChatGPT’s strengths in programming assistance,with 84.80%of users utilizing it for debugging and 86.40%for solving coding problems.However,limitations persist,with many users reporting inaccuracies in mathematical solutions and occasional false citations.Furthermore,the reliance on the free version by 96%of users underscores its accessibility but also suggests limitations in resource availability.This work provides key insights into ChatGPT’s strengths and limitations,establishing a framework for responsible AI use in education.Highlighting areas for improvement marks a milestone in understanding and optimizing AI’s role in academia for sustainable future use.展开更多
The dynamics of student engagement and emotional states significantly influence learning outcomes.Positive emotions resulting from successful task completion stand in contrast to negative affective states that arise f...The dynamics of student engagement and emotional states significantly influence learning outcomes.Positive emotions resulting from successful task completion stand in contrast to negative affective states that arise from learning struggles or failures.Effective transitions to engagement occur upon problem resolution,while unresolved issues lead to frustration and subsequent boredom.This study proposes a Convolutional Neural Networks(CNN)based approach utilizing the Multi⁃source Academic Affective Engagement Dataset(MAAED)to categorize facial expressions into boredom,confusion,frustration,and yawning.This method provides an efficient and objective way to assess student engagement by extracting features from facial images.Recognizing and addressing negative affective states,such as confusion and boredom,is fundamental in creating supportive learning environments.Through automated frame extraction and model comparison,this study demonstrates reduced loss values with improving accuracy,showcasing the effectiveness of this method in objectively evaluating student engagement.Monitoring facial engagement with CNN using the MAAED dataset is essential for gaining insights into human behaviour and improving educational experiences.展开更多
This study investigates translation strategies for Chinese cultural terms in academic texts through a case study of Chapter 7 from“Jade Myth Belief and Chinese Spirit”.Using a qualitative research approach based on ...This study investigates translation strategies for Chinese cultural terms in academic texts through a case study of Chapter 7 from“Jade Myth Belief and Chinese Spirit”.Using a qualitative research approach based on cultural context framework and cognitive model,the study analyzes translation challenges and solutions in rendering cultural terms related to jade mythology and archaeological concepts.The research identifies three primary translation strategies:transliteration with annotation,domestication with explanation,and cognitive-based translation.The findings reveal that effective translation requires a balanced approach between maintaining academic precision and preserving cultural authenticity.The study demonstrates that successful translation of cultural terms in academic contexts demands a sophisticated understanding of both source and target cultural contexts,along with careful consideration of the academic audience’s needs.This research contributes to the field by providing practical insights for translators working with Chinese cultural texts in academic settings and proposing an approach to handling complex cultural terminology.展开更多
The Editorial Office of Water Science and Engineering would like to express their sincere appreciation to the academic editors including Prof.Carlo Gualtieri from University of Napoli Federico Ⅱ,Italy,Prof.Guo-qing W...The Editorial Office of Water Science and Engineering would like to express their sincere appreciation to the academic editors including Prof.Carlo Gualtieri from University of Napoli Federico Ⅱ,Italy,Prof.Guo-qing Wang and Prof.Zhong-zhi Fu from Nanjing Hydraulic Research Institute,China,and Prof.Yan-hui Ao,Prof.Ching-sheng Huang,Prof.Guang-qiu Jin,Prof.Bin Xu,Prof.Sai-yu Yuan,Prof.Zeng Zhou,Prof.Bo Chen,and Prof.Da-wei Guan from Hohai Uiversity,China,for their great effort and contribution to WSE in the year 2024.展开更多
Background:With the proliferation of smartphones,adolescent mobile phone dependency has intensified,potentially precipitating academic burnout and other adverse outcomes among students.Contemporary study mostly examin...Background:With the proliferation of smartphones,adolescent mobile phone dependency has intensified,potentially precipitating academic burnout and other adverse outcomes among students.Contemporary study mostly examines college populations,resulting in a lack of exploration on the internal mechanisms connecting mobile phone dependency to academic burnout.In addition to analysing the chain-mediated effects of sleep quality and cognitive flexibility,this study sought to provide theoretical insights for prevention by applying the Conservation of Resources theory to examine the relationship between academic burnout and mobile phone dependency among middle and high school students.Methods:A cluster convenience sampling approach was adopted.Data were collected from 811 middle and high school students in Tianjin,China,using a paper-based questionnaire battery comprising the Mobile Phone Addiction Index,the Pittsburgh Sleep Quality Index,the Cognitive Flexibility Scale,and the Adolescent Academic Burnout Scale.Descriptive statistics and correlation analyses were conducted using SPSS 25.0.Chain mediation effects were examined via the PROCESS macro,with significance assessed using bias-corrected bootstrap 95%confidence intervals.Results:A statistically significant positive link exists between mobile phone dependency and academic burnout among middle and high school students(r=0.575,p<0.001).Dependence on mobile phones had a substantial direct impact on academic burnout(β=0.303,p<0.001).Chain mediation analysis revealed that mobile phone dependency had a substantial direct impact on academic burnout(β=0.303,p<0.001).Sleep quality and cognitive flexibility mediated the link between mobile phone dependency and academic burnout.These indirect pathways represent 44.18%of the total effect.Conclusions:Mobile phone dependency contributes to academic burnout amongmiddle and high school students,mediated sequentially by sleep quality and cognitive flexibility.These findings suggest a potential intervention strategy to mitigate academic burnout by targeting excessive mobile phone use,enhancing sleep hygiene,and implementing cognitive flexibility training.展开更多
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
文摘The learning of English academic vocabulary has been the focus of numerous studies from the time Coxhead(2000)developed the academic word list to the present day.Various researchers have emphasized the importance of possessing academic vocabulary knowledge for academic success.Recognizing this importance,it is crucial for researchers,teachers,and learners to understand the progress made in academic word lists.This systematic review first identifies,describes,appraises,and synthesizes the development of academic word lists from 2000 to 2020.It then examines the methods used by researchers in developing academic word lists among 56 studies that meet the pre-established criteria.The word lists were classified based on some criteria such as word counting units,corpora types/sizes,and exclusion criteria.Limitations,suggestions for further study,and implications are also discussed.Additionally,recommendations for future word list establishment are provided to help advance the field of word list development.
文摘BACKGROUND Renal cell carcinoma(RCC)is treated with surgical resection as the gold standard,as it is notoriously resistant to systemic therapy.Advancements with targeted therapies contribute to declining mortality,but metastatic RCC(mRCC)survival remains poor.One possible factor is treatment at academic centers,which employ advanced providers and novel therapies.This study compared outcomes of mRCC in patients treated at academic/research facilities compared to those treated at non-academic centers.AIM To compare survival outcomes of mRCC and their various etiologies between academic and non-academic centers.METHODS The National Cancer Database was used to identify mRCC patients including all histology subtypes and stage IV disease.Descriptive statistics and Kaplan-Meier curves measured survival outcomes for user file facility types sorted into a binary academic/research and non-academic research variable.Multivariate logistic regression and Cox proportional hazard testing generated odds ratio and hazard ratio.Data was analyzed using Statistical Package for the Social Sciences version 29.0 using a significance level of P<0.05.RESULTS Overall,academic facility patients experienced greater 5-year and 10-year overall survival than non-academic facility patients.Treatment at non-academic facilities was associated with increased odds of death that persisted even after controlling for age,tumor size,sex,and distance traveled to treatment center.In comparison,nonacademic facility patients also experienced greater risk of hazard.CONCLUSION Patients with mRCC treated at academic/research facilities experienced increased survival compared to patients treated at non-academic facilities,were more likely to be younger,carry private insurance,and come from a large metropolitan area.They also were significantly more likely to receive surgery and adjuvant immunotherapy.
基金supported by the Basic Ability Improvement Project of Young and Middle-Aged Teachers in Colleges and Universities of Guangxi(2022KY1922,2021KY1938).
文摘The traditional academic warning methods for students in higher vocational colleges are relatively backward,single,and have many influencing factors,which have a limited effect on improving their learning ability.A data set was established by collecting academic warning data of students in a certain university.The importance of the school,major,grade,and warning level for the students was analyzed using the Pearson correlation coefficient,random forest variable importance,and permutation importance.It was found that the characteristic of the major has a great impact on the academic warning level.Countermeasures such as dynamic adjustment of majors,reform of cognitive adaptation of courses,full-cycle academic support,and data-driven precise intervention were proposed to provide theoretical support and practical paths for universities to improve the efficiency of academic warning and enhance students’learning ability.
基金funded by the FWO(1S34321N)the Fondation Charcot Stichting(to TV and RS)。
文摘Historically,"big pharma"did most central nervous system drug discovery R&D in-house.Yet,in modern times their"management reductionism"resulted in disappointing pipelines and pharma resided to(late)development,regulatory approval,and marketing(Thong,2015).This had significant consequences for financing and executing research,resulting in a larger role for funding by governments and patient-organizations and a shift of research to academia(Mazzucato,2013).
文摘The biggest influence on my career choice was my father,Peter L.Scardino,a Hopkins-trained urologist who loved his practice more than anything except his family.As a child,I spent time in his office.Later,he broughtme to the OR as an observer,and I was hooked.
文摘BACKGROUND The impact of mental health,including anxiety,on academic performance has been studied in several countries,but few data exist for Sudan.AIM To investigate the correlation between anxiety scores and academic performance among adolescent schoolchildren in Northern Sudan.METHODS This cross-sectional study was carried out during the 2021–2022 academic year among schoolchildren from randomly selected schools in Almatamah locality,River Nile State,Northern Sudan.A questionnaire was used to collect the parti-cipants’sociodemographic data.Anxiety levels were assessed using the ques-tionnaire tools of the General Anxiety Disorder 7-item scale.Students’academic performance scores were obtained from school records.Multivariate linear regression was performed.RESULTS A total of 328 students participated in this study,comprising 156 boys(47.6%)and 172 girls(52.4%).The median[interquartile range(IQR)]age of the students was 14.9 years(13.9–15.6 years).The median(IQR)of the students’academic scores was 27.6%(22.2%–48.1%).The median(IQR)of the students’anxiety scores was 0(0–3).In univariate linear analysis,anxiety scores were positively associated with academic performance scores(coefficient=1.19,P value<0.001).In multivariate linear analysis,after controlling for age,sex,parental education,occupation,and body mass index-Z-score,anxiety scores were positively associated with academic performance scores(coefficient=0.60,P value<0.001).CONCLUSION The current study revealed a positive correlation between anxiety scores and students’academic performance scores.However,the association between mental health disorders,including anxiety,and academic performance is a complex issue.Therefore,further studies are recommended.
文摘In October 2024,high-quality academic journals from Shanghai University,together with the Shanghai University biography Shanghai University:a Centennial Photobiography made their debut at the 76th Frankfurt International Book Fair,drawing worldwide readers’attention to the history of Shanghai University and the university-run academic journals.
文摘Despite the increasing enrolment in higher education in sub-Saharan Africa,the systematic understanding of students’academic major satisfaction in these contexts has not received significant research interest.We examined the academic major satisfaction of students in the Nigerian context by the sense of autonomy,competence,and relatedness.Participants were 452 students from Fine and Applied Arts(FAA,n=207,32.9%female,mean age=20.86,SD=3.40)and philosophy(n=245,42.9%female,mean age=21.43,SD=3.38 years)at a large Nigerian public university.They completed the Basic Needs Satisfaction Scale and the Academic Major Satisfaction Scale,as well as a socio-demographic questionnaire.Results following regression analysis and post-hoc t-tests indicated that while FAA students were more satisfied with their major than those in philosophy overall.Philosophy students reported significantly higher relatedness than the FAA students.FAA students did not rate autonomy and competence higher than Philosophy students.Within academic majors,high autonomy was associated with greater academic major satisfaction for only FAA students,whereas FAA and Philosophy students with high competence and relatedness reported increased academic major satisfaction.Findings suggest students self-determine their academic major satisfaction in the Nigerian educational setting by primarily autonomy and competence considerations.
文摘BACKGROUND Dysfunctional beliefs about sleep may influence academic performance through their impact on sleep quality.Differences in chronotype can further moderate this relationship,particularly among students with irregular sleep patterns.AIM To examine the indirect effects of dysfunctional beliefs about sleep on academic performance through sleep quality while considering individual differences in chronotypes among medical students.METHODS The participants were categorized by chronotype and administered the Dysfunctional Beliefs and Attitudes about Sleep Scale and the Pittsburgh Sleep Quality Index and reported their grade point averages(GPAs).Mediation analysis was performed to examine indirect pathways through sleep quality.RESULTS Dysfunctional sleep beliefs did not directly affect academic success but indirectly impaired GPA via reduced sleep quality,especially in evening-type students.CONCLUSION Chronotype moderates the relationship between sleep quality and academic performance, highlighting the need for targeted cognitive interventions.
文摘With the continuous advancement of artificial intelligence(AI)technology,personalized learning systems are increasingly applied in higher education.Particularly within STEM(Science,Technology,Engineering,and Mathematics)education,AI demonstrates significant advantages through adaptive learning pathways,instant feedback,and individualized resource allocation.However,current research predominantly focuses on the technical architecture and application effectiveness of such systems,with insufficient exploration of how AI-enabled personalized learning systems influence university students’learning motivation and academic achievement through educational psychological mechanisms.This paper adopts an educational psychology perspective to construct a causal mechanism model linking“learning motivation-learning behavior-academic achievement.”Findings indicate that AI-powered personalized learning systems enhance learning autonomy,boost self-efficacy,and optimize feedback mechanisms.These effects collectively stimulate university students’learning motivation in STEM disciplines,thereby promoting academic achievement.Building upon empirical research,this paper proposes implications for educational practice and policy formulation,emphasizing the necessity of advancing higher education reform through the dual influence of technology and psychological mechanisms.
文摘As a follow-up to the successful International Conference on Biomaterials,Bio-Design and Manufacturing(BDMC)held at the National University of Singapore in 2023[1]and at the University of Tokyo in 2024[2],BDMC2025 took place at the University of Oxford in the UK from August 8th to August 10th this year.After the meeting,a participant from the University of Cambridge described his experience of attending BDMC2025 on the social media platform LinkedIn in the following terms:“Many thanks to the organizers for a fantastic event bringing together nearly everyone at the interface of Biofabrication,Materials Science,and Biomedical Engineering”[3].The conference was held on the campus of the University of Oxford and 190 researchers from 55 academic institutions across 10 countries and regions attended(Fig.1).
基金supported by Competitive Research by the University of Aizu.
文摘Advanced artificial intelligence technologies such as ChatGPT and other large language models(LLMs)have significantly impacted fields such as education and research in recent years.ChatGPT benefits students and educators by providing personalized feedback,facilitating interactive learning,and introducing innovative teaching methods.While many researchers have studied ChatGPT across various subject domains,few analyses have focused on the engineering domain,particularly in addressing the risks of academic dishonesty and potential declines in critical thinking skills.To address this gap,this study explores both the opportunities and limitations of ChatGPT in engineering contexts through a two-part analysis.First,we conducted experiments with ChatGPT to assess its effectiveness in tasks such as code generation,error checking,and solution optimization.Second,we surveyed 125 users,predominantly engineering students,to analyze ChatGPTs role in academic support.Our findings reveal that 93.60%of respondents use ChatGPT for quick academic answers,particularly among early-stage university students,and that 84.00%find it helpful for sourcing research materials.The study also highlights ChatGPT’s strengths in programming assistance,with 84.80%of users utilizing it for debugging and 86.40%for solving coding problems.However,limitations persist,with many users reporting inaccuracies in mathematical solutions and occasional false citations.Furthermore,the reliance on the free version by 96%of users underscores its accessibility but also suggests limitations in resource availability.This work provides key insights into ChatGPT’s strengths and limitations,establishing a framework for responsible AI use in education.Highlighting areas for improvement marks a milestone in understanding and optimizing AI’s role in academia for sustainable future use.
文摘The dynamics of student engagement and emotional states significantly influence learning outcomes.Positive emotions resulting from successful task completion stand in contrast to negative affective states that arise from learning struggles or failures.Effective transitions to engagement occur upon problem resolution,while unresolved issues lead to frustration and subsequent boredom.This study proposes a Convolutional Neural Networks(CNN)based approach utilizing the Multi⁃source Academic Affective Engagement Dataset(MAAED)to categorize facial expressions into boredom,confusion,frustration,and yawning.This method provides an efficient and objective way to assess student engagement by extracting features from facial images.Recognizing and addressing negative affective states,such as confusion and boredom,is fundamental in creating supportive learning environments.Through automated frame extraction and model comparison,this study demonstrates reduced loss values with improving accuracy,showcasing the effectiveness of this method in objectively evaluating student engagement.Monitoring facial engagement with CNN using the MAAED dataset is essential for gaining insights into human behaviour and improving educational experiences.
基金sponsored by the Humanities and Social Sciences Project of the Ministry of Education under Grant No.24YJCZH443Shanghai Philosophy and Social Science Planning Project under Grant No.2024EYY015Shanghai Municipal Philosophy and Social Sciences Planning Project under Grant No.2024EYY011.
文摘This study investigates translation strategies for Chinese cultural terms in academic texts through a case study of Chapter 7 from“Jade Myth Belief and Chinese Spirit”.Using a qualitative research approach based on cultural context framework and cognitive model,the study analyzes translation challenges and solutions in rendering cultural terms related to jade mythology and archaeological concepts.The research identifies three primary translation strategies:transliteration with annotation,domestication with explanation,and cognitive-based translation.The findings reveal that effective translation requires a balanced approach between maintaining academic precision and preserving cultural authenticity.The study demonstrates that successful translation of cultural terms in academic contexts demands a sophisticated understanding of both source and target cultural contexts,along with careful consideration of the academic audience’s needs.This research contributes to the field by providing practical insights for translators working with Chinese cultural texts in academic settings and proposing an approach to handling complex cultural terminology.
文摘The Editorial Office of Water Science and Engineering would like to express their sincere appreciation to the academic editors including Prof.Carlo Gualtieri from University of Napoli Federico Ⅱ,Italy,Prof.Guo-qing Wang and Prof.Zhong-zhi Fu from Nanjing Hydraulic Research Institute,China,and Prof.Yan-hui Ao,Prof.Ching-sheng Huang,Prof.Guang-qiu Jin,Prof.Bin Xu,Prof.Sai-yu Yuan,Prof.Zeng Zhou,Prof.Bo Chen,and Prof.Da-wei Guan from Hohai Uiversity,China,for their great effort and contribution to WSE in the year 2024.
基金supported by the Philosophy and Social Sciences Planning Foundation of Tianjin(Grant No.TJJX22-006).
文摘Background:With the proliferation of smartphones,adolescent mobile phone dependency has intensified,potentially precipitating academic burnout and other adverse outcomes among students.Contemporary study mostly examines college populations,resulting in a lack of exploration on the internal mechanisms connecting mobile phone dependency to academic burnout.In addition to analysing the chain-mediated effects of sleep quality and cognitive flexibility,this study sought to provide theoretical insights for prevention by applying the Conservation of Resources theory to examine the relationship between academic burnout and mobile phone dependency among middle and high school students.Methods:A cluster convenience sampling approach was adopted.Data were collected from 811 middle and high school students in Tianjin,China,using a paper-based questionnaire battery comprising the Mobile Phone Addiction Index,the Pittsburgh Sleep Quality Index,the Cognitive Flexibility Scale,and the Adolescent Academic Burnout Scale.Descriptive statistics and correlation analyses were conducted using SPSS 25.0.Chain mediation effects were examined via the PROCESS macro,with significance assessed using bias-corrected bootstrap 95%confidence intervals.Results:A statistically significant positive link exists between mobile phone dependency and academic burnout among middle and high school students(r=0.575,p<0.001).Dependence on mobile phones had a substantial direct impact on academic burnout(β=0.303,p<0.001).Chain mediation analysis revealed that mobile phone dependency had a substantial direct impact on academic burnout(β=0.303,p<0.001).Sleep quality and cognitive flexibility mediated the link between mobile phone dependency and academic burnout.These indirect pathways represent 44.18%of the total effect.Conclusions:Mobile phone dependency contributes to academic burnout amongmiddle and high school students,mediated sequentially by sleep quality and cognitive flexibility.These findings suggest a potential intervention strategy to mitigate academic burnout by targeting excessive mobile phone use,enhancing sleep hygiene,and implementing cognitive flexibility training.
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.
