期刊文献+
共找到7,055篇文章
< 1 2 250 >
每页显示 20 50 100
On Cognitive Style in English Web-based Autonomous Learning
1
作者 刘茜 《海外英语》 2014年第21期57-58,65,共3页
Since Henry Holec first put forward the term‘Autonomy'in 1980's, autonomous learning has been drawing the universal attention of scholars both at home and abroad. Promoting learners' ability of self-regul... Since Henry Holec first put forward the term‘Autonomy'in 1980's, autonomous learning has been drawing the universal attention of scholars both at home and abroad. Promoting learners' ability of self-regulated learning has been taken as one of the important goals of modern education. College English autonomous learning based on network environment does not mean free study without any restraints or monitoring, but rather involves the self-monitoring and external monitoring. Meanwhile, different learners may have different cognitive styles in their learning processes, which may have an influence on the improvement of the learners' efficiency in the autonomous language learning. Proper monitoring models coordinating with the students' different field cognitive styles. 展开更多
关键词 ENGLISH web-based autonomous learning FIELD cognit
下载PDF
Toward Trustworthy Decision-Making for Autonomous Vehicles:A Robust Reinforcement Learning Approach with Safety Guarantees
2
作者 Xiangkun He Wenhui Huang Chen Lv 《Engineering》 SCIE EI CAS CSCD 2024年第2期77-89,共13页
While autonomous vehicles are vital components of intelligent transportation systems,ensuring the trustworthiness of decision-making remains a substantial challenge in realizing autonomous driving.Therefore,we present... While autonomous vehicles are vital components of intelligent transportation systems,ensuring the trustworthiness of decision-making remains a substantial challenge in realizing autonomous driving.Therefore,we present a novel robust reinforcement learning approach with safety guarantees to attain trustworthy decision-making for autonomous vehicles.The proposed technique ensures decision trustworthiness in terms of policy robustness and collision safety.Specifically,an adversary model is learned online to simulate the worst-case uncertainty by approximating the optimal adversarial perturbations on the observed states and environmental dynamics.In addition,an adversarial robust actor-critic algorithm is developed to enable the agent to learn robust policies against perturbations in observations and dynamics.Moreover,we devise a safety mask to guarantee the collision safety of the autonomous driving agent during both the training and testing processes using an interpretable knowledge model known as the Responsibility-Sensitive Safety Model.Finally,the proposed approach is evaluated through both simulations and experiments.These results indicate that the autonomous driving agent can make trustworthy decisions and drastically reduce the number of collisions through robust safety policies. 展开更多
关键词 autonomous vehicle DECISION-MAKING Reinforcement learning Adversarial attack Safety guarantee
下载PDF
Results of the virtual simulation teaching method on autonomous learning competencies of undergraduate nursing students
3
作者 Yinji Jin Meiying Li +1 位作者 Xue Wang Xin Jin 《Nursing Communications》 2024年第1期1-7,共7页
Background:With the continuous development of information technology,most universities use mobile teaching platforms for classroom teaching.With the help of the national virtual simulation experimental teaching projec... Background:With the continuous development of information technology,most universities use mobile teaching platforms for classroom teaching.With the help of the national virtual simulation experimental teaching project sharing platform,students can enhance self-directed learning through the virtual simulation operations of the project.Purpose:To explore the application of virtual simulation experiment in teaching the fundamentals of nursing practice based on the Platform of the National Virtual Simulation Experiment Teaching Project during the COVID-19 pandemic analyze the impact of this teaching method on the autonomous learning ability of undergraduate nursing students.Methods:Convenience sampling was used to select 121 nursing undergraduates from Y University’s School of Nursing;the online teaching of fundamentals of nursing practice was conducted to the students.After taking the course,questionnaires were distributed to the undergraduate nursing students to collect their perceptions regarding the use of the virtual simulation experiment platform and autonomous learning competencies.Results:Most students expressed their preference for the virtual simulation teaching platform,and their satisfaction with the project evaluation was high 83.05%.They hoped to promote the application in future experimental teaching.Undergraduate nursing students believed that the virtual simulation teaching platform was conducive to cultivating clinical thinking ability,could stimulate learning interest,enhanced autonomous learning competencies.Conclusion:During the pandemic,the virtual simulation teaching platform for a lecture on in nursing education has achieved good results in both the aspects of teaching and student learning.Teachers efficiently used their training time and reduced their teaching burden.Moreover,the laboratory cost was also reduced.For undergraduate nursing students,the system was conducive to cultivating clinical thinking ability,stimulating their interest in learning,enhancing their learning and comprehension abilities and learning initiative. 展开更多
关键词 COVID-19 autonomous learning nursing education virtual simulation nursing students
下载PDF
A Survey into Teachers' Roles in Web-based College English Autonomous Learning 被引量:1
4
作者 缪海燕 《Sino-US English Teaching》 2006年第4期52-56,共5页
The paper, with the backdrop of web-based autonomous learning put forward by the recent college English teaching reform, aims to explore teachers' roles in this learning process in students' perception through the m... The paper, with the backdrop of web-based autonomous learning put forward by the recent college English teaching reform, aims to explore teachers' roles in this learning process in students' perception through the means of questionnaires and interviews. It further analyzes the possible reasons why students perceive their teachers' roles in such a way, in the hope of providing some implications for web-based college English autonomous learning. 展开更多
关键词 web-based autonomous learning teacher's roles
下载PDF
Incorporation of Learning Strategies into Web-based Autonomous Listening 被引量:4
5
作者 李芳 《海外英语》 2019年第20期278-280,284,共4页
The thesis introduces a comparative study of students'autonomous listening practice in a web-based autonomous learning center and the traditional teacher-dominated listening practice in a traditional language lab.... The thesis introduces a comparative study of students'autonomous listening practice in a web-based autonomous learning center and the traditional teacher-dominated listening practice in a traditional language lab.The purpose of the study is to find how students'listening strategies differ in these two approaches and thereby to find which one better facilitates students'listening proficiency. 展开更多
关键词 learning strategies metacognitive strategies listening strategies web-based autonomous listening
下载PDF
A Review of the Effectiveness of Web-based Course with College English Learners' Autonomous Learning
6
作者 杜淑珍 《海外英语》 2015年第22期276-277,288,共3页
The paper is a literature review, aiming to examine the effectiveness of web-based college English learning which mainly focuses on learners' autonomous learning. Previous studies indicate that the web-based learn... The paper is a literature review, aiming to examine the effectiveness of web-based college English learning which mainly focuses on learners' autonomous learning. Previous studies indicate that the web-based learning can improve learners' autonomous learning, as well as some problems found in their findings. Therefore, this paper first gives a summary and critique of research studies on the web-based autonomous learning and some factors influencing learners' autonomous learning ability;then, areas that deserve further study are also indicated. 展开更多
关键词 autonomous learning web-based learning COLLEGE English learnER
下载PDF
A Combined Reinforcement Learning and Model Predictive Control for Car-Following Maneuver of Autonomous Vehicles 被引量:2
7
作者 Liwen Wang Shuo Yang +2 位作者 Kang Yuan Yanjun Huang Hong Chen 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2023年第3期315-325,共11页
Model predictive control is widely used in the design of autonomous driving algorithms.However,its parameters are sensitive to dynamically varying driving conditions,making it difficult to be implemented into practice... Model predictive control is widely used in the design of autonomous driving algorithms.However,its parameters are sensitive to dynamically varying driving conditions,making it difficult to be implemented into practice.As a result,this study presents a self-learning algorithm based on reinforcement learning to tune a model predictive controller.Specifically,the proposed algorithm is used to extract features of dynamic traffic scenes and adjust the weight coefficients of the model predictive controller.In this method,a risk threshold model is proposed to classify the risk level of the scenes based on the scene features,and aid in the design of the reinforcement learning reward function and ultimately improve the adaptability of the model predictive controller to real-world scenarios.The proposed algorithm is compared to a pure model predictive controller in car-following case.According to the results,the proposed method enables autonomous vehicles to adjust the priority of performance indices reasonably in different scenarios according to risk variations,showing a good scenario adaptability with safety guaranteed. 展开更多
关键词 Model predictive control Reinforcement learning autonomous vehicles
下载PDF
Autonomous machine learning for early bot detection in the internet of things
8
作者 Alex Medeiros Araujo Anderson Bergamini de Neira Michele Nogueira 《Digital Communications and Networks》 SCIE CSCD 2023年第6期1301-1309,共9页
The high costs incurred due to attacks and the increasing number of different devices in the Internet of Things(IoT)highlight the necessity of the early detection of botnets(i.e.,a network of infected devices)to gain ... The high costs incurred due to attacks and the increasing number of different devices in the Internet of Things(IoT)highlight the necessity of the early detection of botnets(i.e.,a network of infected devices)to gain an advantage against attacks.However,early botnet detection is challenging because of continuous malware mutations,the adoption of sophisticated obfuscation techniques,and the massive volume of data.The literature addresses botnet detection by modeling the behavior of malware spread,the classification of malicious traffic,and the analysis of traffic anomalies.This article details ANTE,a system for ANTicipating botnEt signals based on machine learning algorithms.The system adapts itself to different scenarios and detects different types of botnets.It autonomously selects the most appropriate Machine Learning(ML)pipeline for each botnet and improves the classification before an attack effectively begins.The system evaluation follows trace-driven experiments and compares ANTE results to other relevant results from the literature over four representative datasets:ISOT HTTP Botnet,CTU-13,CICDDoS2019,and BoT-IoT.Results show an average detection accuracy of 99.06%and an average bot detection precision of 100%. 展开更多
关键词 Network security Bot early detection autonomous machine learning Network traffic analysis
下载PDF
An Investigation of College English Autonomous Learning in Network Multimodal Context
9
作者 Chen Guan Jianhui Zhang 《Intelligent Information Management》 2023年第3期169-179,共11页
In the current society, based on the growing development of network information technology, the teaching in many colleges and universities has also introduced it to adapt to the situation. This trend can provide more ... In the current society, based on the growing development of network information technology, the teaching in many colleges and universities has also introduced it to adapt to the situation. This trend can provide more useful conditions for students to learn, which requires students to master enough self-learning abilities to adapt to this model. The study in the paper shows that students are usually interested in autonomous learning in a multimodal environment, but the degree of strategy choice is relatively low, and the learning process is blind and passive with the lack of self-confidence. Facing the future, schools should actively integrate into network thinking, and teachers should change their roles and train and guide students’ learning strategies and learning motivations, so as to achieve better teaching results. 展开更多
关键词 College English autonomous learning Ability Training Network Multimodal Context
下载PDF
Research on College Studentst'Autonomous EFL Learning Affer Course Exemption
10
作者 He Guangyu 《Contemporary Social Sciences》 2023年第2期117-129,共13页
By analyzing the English learning logs of 12 students in a provincial university in south-west China after they had been exempted from taking college English courses,this study investigated college students’autonomou... By analyzing the English learning logs of 12 students in a provincial university in south-west China after they had been exempted from taking college English courses,this study investigated college students’autonomous EFL(English as a foreign language)learning after course exemption,including the use of mediational means in EFL learning,EFL learning hours,and other factors affecting EFL learning,in the hope of giving new perspectives on college ELF curriculum design,teaching,and education management. 展开更多
关键词 autonomous EFL learning after course exemption sociocultural theory regulation by mediation
下载PDF
Oral English Autonomous Learning Ability of English Majors Under the Background of the Internet and Its Improvement
11
作者 Xiaohong Zhu 《Journal of Contemporary Educational Research》 2023年第10期166-172,共7页
The Internet is an important means of communication for contemporary college students,especially those majoring in English,to acquire knowledge about information and improve their oral proficiency.However,research on ... The Internet is an important means of communication for contemporary college students,especially those majoring in English,to acquire knowledge about information and improve their oral proficiency.However,research on the relevant oral English autonomous learning ability of English majors shows that the overall learning situation is not satisfying.Based on the development of the concept of autonomous learning,this article explores the current situation and existing problems in oral English autonomous learning of English majors under the context of the Internet,and proposes corresponding autonomous learning strategies for improving their oral English skill. 展开更多
关键词 Oral English autonomous learning ability INTERNET English majors
下载PDF
Evolutionary Decision-Making and Planning for Autonomous Driving Based on Safe and Rational Exploration and Exploitation 被引量:2
12
作者 Kang Yuan Yanjun Huang +4 位作者 Shuo Yang Zewei Zhou Yulei Wang Dongpu Cao Hong Chen 《Engineering》 SCIE EI CAS CSCD 2024年第2期108-120,共13页
Decision-making and motion planning are extremely important in autonomous driving to ensure safe driving in a real-world environment.This study proposes an online evolutionary decision-making and motion planning frame... Decision-making and motion planning are extremely important in autonomous driving to ensure safe driving in a real-world environment.This study proposes an online evolutionary decision-making and motion planning framework for autonomous driving based on a hybrid data-and model-driven method.First,a data-driven decision-making module based on deep reinforcement learning(DRL)is developed to pursue a rational driving performance as much as possible.Then,model predictive control(MPC)is employed to execute both longitudinal and lateral motion planning tasks.Multiple constraints are defined according to the vehicle’s physical limit to meet the driving task requirements.Finally,two principles of safety and rationality for the self-evolution of autonomous driving are proposed.A motion envelope is established and embedded into a rational exploration and exploitation scheme,which filters out unreasonable experiences by masking unsafe actions so as to collect high-quality training data for the DRL agent.Experiments with a high-fidelity vehicle model and MATLAB/Simulink co-simulation environment are conducted,and the results show that the proposed online-evolution framework is able to generate safer,more rational,and more efficient driving action in a real-world environment. 展开更多
关键词 autonomous driving DECISION-MAKING Motion planning Deep reinforcement learning Model predictive control
下载PDF
College English autonomous teaching and learning research and practice 被引量:1
13
作者 高鹏 时真妹 肖亮 《Sino-US English Teaching》 2009年第7期1-7,共7页
This paper intends to promote a college English autonomous teaching and learning approach by introducing the whole process of its implementation and feedback from the learners. The theoretical and practical framework ... This paper intends to promote a college English autonomous teaching and learning approach by introducing the whole process of its implementation and feedback from the learners. The theoretical and practical framework of this approach is: with multiple autonomous learning research and practice models as its core, with process syllabus as its guidance, with task-based teaching as its essential principle, with group cooperation and reciprocal learning as its means, with extracurricular activities, online learning and self-access center as its learning environment, with formative assessment system as its guarantee and with cultivation of learners' comprehensive English practical skills and autonomy as its goal. Through this approach, we provide the learners with a favorable learning environment where they can learn by themselves and learn by reflection and practice so that they can learn how to learn and how to behave and how to survive. 展开更多
关键词 autonomous learning process syllabus cooperative learning
下载PDF
Using TED to Enhance Student Autonomous Learning 被引量:1
14
作者 黄雁鸿 吴广平 张吟松 《海外英语》 2014年第20期9-11,共3页
Based on the literature review about autonomous learning,the study put forward four steps for using TED to enhance student autonomous learning,which are preparation,activity design,presentation and evaluation. By doin... Based on the literature review about autonomous learning,the study put forward four steps for using TED to enhance student autonomous learning,which are preparation,activity design,presentation and evaluation. By doing so,both teachers and students can achieve their teaching and learning objectives. 展开更多
关键词 TED FOUR STEPS autonomous learning
下载PDF
Autonomous Learning and Improving Communicative Competence 被引量:1
15
作者 李宝红 孙晓黎 《海外英语》 2013年第2X期32-35,38,共5页
Nowadays, English as a world language becomes more and more important. Consequently, English learning becomes more and more popular. As we know, an important object for English learners is to improve their communicati... Nowadays, English as a world language becomes more and more important. Consequently, English learning becomes more and more popular. As we know, an important object for English learners is to improve their communicative competence. So autonomous learning is a good way to improve communicative competence. In this paper, two terms, autonomous learning and communicative competence, and their relationship will be introduced from the perspective of English learning. Autonomous learning is self-managed learning, which is contrary to passive learning and mechanical learning, according to intrinsic property of language learning. Communicative competence is a concept introduced by Dell Hymes and is discussed and refined by many other linguists. According to Hymes, communicative competence is the ability not only to apply the grammatical rules of language in order to form grammatically correct sentences but also to know when and where to use these sentences and to whom. Communicative competence includes 4 aspects: Possibility, feasibility, appropriateness and performance. Improving communicative competence is the result of autonomous learning, autonomous learning is the motivation of improving communicative competence. English, of course, is a bridge connecting China to the world, and fostering students'communicative competence through autonomous learning is the vital element of improving English learning in China. 展开更多
关键词 autonomous learning COMMUNICATIVE COMPETENCE Engli
下载PDF
Machine learning algorithms able to predict the prognosis of gastric cancer patients treated with immune checkpoint inhibitors
16
作者 Hong-Wei Li Zi-Yu Zhu +4 位作者 Yu-Fei Sun Chao-Yu Yuan Mo-Han Wang Nan Wang Ying-Wei Xue 《World Journal of Gastroenterology》 SCIE CAS 2024年第40期4354-4366,共13页
BACKGROUND Although immune checkpoint inhibitors(ICIs)have demonstrated significant survival benefits in some patients diagnosed with gastric cancer(GC),existing prognostic markers are not universally applicable to al... BACKGROUND Although immune checkpoint inhibitors(ICIs)have demonstrated significant survival benefits in some patients diagnosed with gastric cancer(GC),existing prognostic markers are not universally applicable to all patients with advanced GC.AIM To investigate biomarkers that predict prognosis in GC patients treated with ICIs and develop accurate predictive models.METHODS Data from 273 patients diagnosed with GC and distant metastasis,who un-derwent≥1 cycle(s)of ICIs therapy were included in this study.Patients were randomly divided into training and test sets at a ratio of 7:3.Training set data were used to develop the machine learning models,and the test set was used to validate their predictive ability.Shapley additive explanations were used to provide insights into the best model.RESULTS Among the 273 patients with GC treated with ICIs in this study,112 died within 1 year,and 129 progressed within the same timeframe.Five features related to overall survival and 4 related to progression-free survival were identified and used to construct eXtreme Gradient Boosting(XGBoost),logistic regression,and decision tree.After comprehensive evaluation,XGBoost demonstrated good accuracy in predicting overall survival and progression-free survival.CONCLUSION The XGBoost model aided in identifying patients with GC who were more likely to benefit from ICIs therapy.Patient nutritional status may,to some extent,reflect prognosis. 展开更多
关键词 Gastric cancer Machine learning Immune checkpoint inhibitors web-based calculator Progression-free survival Overall survival
下载PDF
UAV maneuvering decision-making algorithm based on deep reinforcement learning under the guidance of expert experience
17
作者 ZHAN Guang ZHANG Kun +1 位作者 LI Ke PIAO Haiyin 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第3期644-665,共22页
Autonomous umanned aerial vehicle(UAV) manipulation is necessary for the defense department to execute tactical missions given by commanders in the future unmanned battlefield. A large amount of research has been devo... Autonomous umanned aerial vehicle(UAV) manipulation is necessary for the defense department to execute tactical missions given by commanders in the future unmanned battlefield. A large amount of research has been devoted to improving the autonomous decision-making ability of UAV in an interactive environment, where finding the optimal maneuvering decisionmaking policy became one of the key issues for enabling the intelligence of UAV. In this paper, we propose a maneuvering decision-making algorithm for autonomous air-delivery based on deep reinforcement learning under the guidance of expert experience. Specifically, we refine the guidance towards area and guidance towards specific point tasks for the air-delivery process based on the traditional air-to-surface fire control methods.Moreover, we construct the UAV maneuvering decision-making model based on Markov decision processes(MDPs). Specifically, we present a reward shaping method for the guidance towards area and guidance towards specific point tasks using potential-based function and expert-guided advice. The proposed algorithm could accelerate the convergence of the maneuvering decision-making policy and increase the stability of the policy in terms of the output during the later stage of training process. The effectiveness of the proposed maneuvering decision-making policy is illustrated by the curves of training parameters and extensive experimental results for testing the trained policy. 展开更多
关键词 unmanned aerial vehicle(UAV) maneuvering decision-making autonomous air-delivery deep reinforcement learning reward shaping expert experience
下载PDF
On fostering the autonomous learning ability in college English teaching
18
作者 仲晓娟 吴永红 《Sino-US English Teaching》 2010年第11期6-8,21,共4页
Autonomous learning is one of the objectives of multi-media college English teaching. On basis of the test of students' autonomous learning ability and the analysis of the results, this paper attempts to explore the ... Autonomous learning is one of the objectives of multi-media college English teaching. On basis of the test of students' autonomous learning ability and the analysis of the results, this paper attempts to explore the feasibility of fostering the autonomous learning ability in college English teaching. 展开更多
关键词 college English teaching autonomous learning autonomous learning ability
下载PDF
On Affective Strategies use in College Students' Autonomous English Learning
19
作者 黄万武 王珊珊 《海外英语》 2011年第9X期18-18,35,共2页
Autonomous study emphasizes the learner's initiative,enthusiasm and creativity.In all fields of education,there is growing emphasis on "learner-centered" teaching methods and the ability of learner auton... Autonomous study emphasizes the learner's initiative,enthusiasm and creativity.In all fields of education,there is growing emphasis on "learner-centered" teaching methods and the ability of learner autonomy.Many experts and scholars have found that learning strategies plays an important role in English language learning,but the importance of affective strategy use in English learning is often ignored by people.Therefore,this paper focuses on the frequencies of affective strategies use in English learning and their relationships so as to enable college students to use positive affective strategies effectively to improve their autonomous learning ability. 展开更多
关键词 AFFECTIVE strategies autonomous ENGLISH learning MOTIVATION
下载PDF
Research into college students' English autonomous learning capability and the necessity of cultivating metacognitive strategies
20
作者 郭美玲 《Sino-US English Teaching》 2009年第12期5-8,共4页
Through the research into college students' English autonomous learning ability of the non-English major students. That the cause why university students' English autonomous learning ability is weak is proved to be ... Through the research into college students' English autonomous learning ability of the non-English major students. That the cause why university students' English autonomous learning ability is weak is proved to be that they do not value the use of learning strategies. The use of learning strategies can promote the formation and enhancement of autonomous learning ability of the learners. Metacognitive strategy is a high-level management skill which can enable the learners to plan, regulate, monitor and evaluate actively their own learning process. Massive researches have proved whether metacognitive strategy is used successfully or not can directly affect the student learning result. So, it is necessary for teachers to cultivate and train the students to use metacogitive strategy in the university English teaching. 展开更多
关键词 autonomous learning ability metacognitive strategy MONITOR evaluate
下载PDF
上一页 1 2 250 下一页 到第
使用帮助 返回顶部