In the context of emerging engineering disciplines,a hybrid teaching reform for the Bioengineering Downstream Technology course,based on ideological and political education and online open courses,is being carried out...In the context of emerging engineering disciplines,a hybrid teaching reform for the Bioengineering Downstream Technology course,based on ideological and political education and online open courses,is being carried out.This reform focuses on aspects such as“building a professional teacher team for ideological and political education,scientifically designing the ideological and political teaching system,innovating classroom teaching methods,and improving both formative and summative evaluation systems.”The“Craftsmanship in Education and Cultivating Soul and Roots”small private online course hybrid teaching reform for the Bioengineering Downstream Technology online open course provides a replicable model for the comprehensive implementation of ideological and political education in engineering courses and offers a reference for advancing ideological and political education and hybrid teaching reform in new engineering disciplines.展开更多
Open Courseware(OCW)and massive open online courses(MOOCs)are teaching and learning resources that are easily accessible to anyone with an Internet connection.OCW is digitally published learning content including full...Open Courseware(OCW)and massive open online courses(MOOCs)are teaching and learning resources that are easily accessible to anyone with an Internet connection.OCW is digitally published learning content including full and partial courses(syllabi,outlines,lectures in pdf or video,slides,reference lists,etc.),simulations,animations,tutorials,drills and practices,modules,podcasts,case studies,and quizzes.This content is free and can be adopted or adapted to the user's needs.MOOCs are online learning experiences taught by university professors using conventional educational tools including video lectures,interactive modules,assignments,study materials,discussion boards,quizzes and tests.MOOCs are offered free or at low cost for personal and professional learning,and as a supplement to classroom teaching.Many MOOCs and OCW focus on topics of interest to nursing,particularly to nurse educators.This article provides the reader with a brief history of the development of OCW and MOOCs,conceptual descriptions,and guidance about how to access and use these new online resources.展开更多
Massive open online courses(MOOCs)have become a way of online learning across the world in the past few years.However,the extremely high dropout rate has brought many challenges to the development of online learning.M...Massive open online courses(MOOCs)have become a way of online learning across the world in the past few years.However,the extremely high dropout rate has brought many challenges to the development of online learning.Most of the current methods have low accuracy and poor generalization ability when dealing with high-dimensional dropout features.They focus on the analysis of the learning score and check result of online course,but neglect the phased student behaviors.Besides,the status of student participation at a given moment is necessarily impacted by the prior status of learning.To address these issues,this paper has proposed an ensemble learning model for early dropout prediction(ELM-EDP)that integrates attention-based document representation as a vector(A-Doc2vec),feature learning of course difficulty,and weighted soft voting ensemble with heterogeneous classifiers(WSV-HC).First,A-Doc2vec is proposed to learn sequence features of student behaviors of watching lecture videos and completing course assignments.It also captures the relationship between courses and videos.Then,a feature learning method is proposed to reduce the interference caused by the differences of course difficulty on the dropout prediction.Finally,WSV-HC is proposed to highlight the benefits of integration strategies of boosting and bagging.Experiments on the MOOCCube2020 dataset show that the high accuracy of our ELM-EDP has better results on Accuracy,Precision,Recall,and F1.展开更多
目的 探讨大规模开放式在线课程(massive open online courses,MOOCs)联合以问题为基础的教学法(problem based learning,PBL)在儿科学本科耳鼻咽喉专业教学中的应用效果。方法 选取2021年8月—2022年8月贵州医科大学2017级儿科学本科学...目的 探讨大规模开放式在线课程(massive open online courses,MOOCs)联合以问题为基础的教学法(problem based learning,PBL)在儿科学本科耳鼻咽喉专业教学中的应用效果。方法 选取2021年8月—2022年8月贵州医科大学2017级儿科学本科学生140名。按照随机数字表法分为对照组与研究组,各70名。对照组予以传统的儿科学本科教学模式,研究组予以MOOCs联合PBL教学模式。观察学期结束后,2组学生考试成绩、学生评价结果、学生满意度及教师评价结果。结果 学期结束后,研究组期末试卷成绩为(93.53±6.72)分、随堂测试平均成绩为(89.37±6.87)分、课后论文成绩为(86.35±6.32)分、讨论积极程度评分为(85.31±5.72)分及总成绩为(91.56±5.35)分,高于对照组的(83.25±6.45)分、(86.34±7.21)分、(78.53±6.17)分、(68.53±5.41)分、(81.25±6.27)分(P <0.05)。研究组对促进知识掌握、提升学习效率、激发学习兴趣、培养自主学习能力、培养问题分析和解决能力、培养临床思维方面的满意度及整体满意度均高于对照组(P <0.05)。研究组查阅文献能力、临床思维能力、自主学习能力、提出和解决问题能力的评分均高于对照组(P <0.05)。结论 MOOCs联合PBL教育模式可明显提升儿科学本科耳鼻咽喉专业学生的学习成绩,培养其临床思维、自主学习、分析和解决问题等方面的能力,并提升其教学满意度。展开更多
针对MOOC中学生行为数据的长短期混合特性,为解决辍学预测中的动态类别不平衡问题,提出一种基于深度学习的辍学预测策略。首先建立以天为时间步长、周为学习周期的新型学生行为时间序列,以捕捉每一时间步长下时间序列数据的短期依赖关...针对MOOC中学生行为数据的长短期混合特性,为解决辍学预测中的动态类别不平衡问题,提出一种基于深度学习的辍学预测策略。首先建立以天为时间步长、周为学习周期的新型学生行为时间序列,以捕捉每一时间步长下时间序列数据的短期依赖关系和相邻学习周期之间的长期模式和趋势。然后结合辍学定义的两种不同表达揭示MOOC辍学预测的动态类别不平衡现象。接着引入基于代价敏感的长短期时间序列深度学习模型,以实现对高辍学风险学生的精准预测。最后在KDD Cup 2015数据集上的实验证明,所提策略能够有效帮助MOOC课程教师和教学管理者追踪课程学生在不同时间步长的学习状态,从而动态监控不同学习阶段的辍学行为。展开更多
This article is based on research conducted for the European CommissionEducation & Training 2020 working group on digital and online learning(ET2020 WG-DOL) specifically regarding policy challenges, such as thefol...This article is based on research conducted for the European CommissionEducation & Training 2020 working group on digital and online learning(ET2020 WG-DOL) specifically regarding policy challenges, such as thefollowing: 1) Targeted policy guidance on innovative and open learningenvironments under outcome;2) Proposal for a quality assurance modelfor open and innovative learning environments, its impact on specificassessment frameworks and its implication for EU recognition and transparencyinstruments. The article aims to define quality in open, flexible,and online learning, particularly in open education, open educationalresources (OER), and massive open online courses (MOOC). Hence,quality domains, characteristics, and criteria are outlined and discussed,as well as how they contribute to quality and personal learning so thatlearners can orchestrate and take responsibility for their own learningpathways. An additional goal is to identify the major stakeholders directlyinvolved in open online education and to describe their visions, communalities,and conflicts regarding quality in open, flexible, and online learning.The article also focuses on quality in periods of crisis, such as duringthe pandemic in 2020. Finally, the article discusses the rationale and needfor a model of quality in open, flexible, and online learning based on threemajor criteria for quality: excellence, impact, and implementation fromthe learner’s perspective.展开更多
基金Guangdong Province Undergraduate Online Open Course Guidance Committee Research Project(2022ZXKC462)Foshan Philosophy and Social Science Planning Project(2024-GJ 037)+4 种基金Provincial First-Class Undergraduate Courses of Guangdong Provincial Education Department(Guangdong Education Gaohan[2022]No.10)Innovation Project of Guangdong Graduate Education(2022JGXM129,2022JGXM128,2023ANLK-080)Foshan University Curriculum Ideological and Political Teaching Reform and Practice Demonstration Project in 2023Quality Engineering Project of Foshan University in 2023Collaborative Education Project of the Ministry of Education in 2023(230703232312141)。
文摘In the context of emerging engineering disciplines,a hybrid teaching reform for the Bioengineering Downstream Technology course,based on ideological and political education and online open courses,is being carried out.This reform focuses on aspects such as“building a professional teacher team for ideological and political education,scientifically designing the ideological and political teaching system,innovating classroom teaching methods,and improving both formative and summative evaluation systems.”The“Craftsmanship in Education and Cultivating Soul and Roots”small private online course hybrid teaching reform for the Bioengineering Downstream Technology online open course provides a replicable model for the comprehensive implementation of ideological and political education in engineering courses and offers a reference for advancing ideological and political education and hybrid teaching reform in new engineering disciplines.
文摘Open Courseware(OCW)and massive open online courses(MOOCs)are teaching and learning resources that are easily accessible to anyone with an Internet connection.OCW is digitally published learning content including full and partial courses(syllabi,outlines,lectures in pdf or video,slides,reference lists,etc.),simulations,animations,tutorials,drills and practices,modules,podcasts,case studies,and quizzes.This content is free and can be adopted or adapted to the user's needs.MOOCs are online learning experiences taught by university professors using conventional educational tools including video lectures,interactive modules,assignments,study materials,discussion boards,quizzes and tests.MOOCs are offered free or at low cost for personal and professional learning,and as a supplement to classroom teaching.Many MOOCs and OCW focus on topics of interest to nursing,particularly to nurse educators.This article provides the reader with a brief history of the development of OCW and MOOCs,conceptual descriptions,and guidance about how to access and use these new online resources.
基金supported by the National Natural Science Foundation of China(No.61772231)the Natural Science Foundation of Shandong Province(No.ZR2022LZH016&No.ZR2017MF025)+3 种基金the Project of Shandong Provincial Social Science Program(No.18CHLJ39)the Shandong Provincial Key R&D Program of China(No.2021CXGC010103)the Shandong Provincial Teaching Research Project of Graduate Education(No.SDYAL2022102&No.SDYJG21034)the Teaching Research Project of University of Jinan(No.JZ2212)。
文摘Massive open online courses(MOOCs)have become a way of online learning across the world in the past few years.However,the extremely high dropout rate has brought many challenges to the development of online learning.Most of the current methods have low accuracy and poor generalization ability when dealing with high-dimensional dropout features.They focus on the analysis of the learning score and check result of online course,but neglect the phased student behaviors.Besides,the status of student participation at a given moment is necessarily impacted by the prior status of learning.To address these issues,this paper has proposed an ensemble learning model for early dropout prediction(ELM-EDP)that integrates attention-based document representation as a vector(A-Doc2vec),feature learning of course difficulty,and weighted soft voting ensemble with heterogeneous classifiers(WSV-HC).First,A-Doc2vec is proposed to learn sequence features of student behaviors of watching lecture videos and completing course assignments.It also captures the relationship between courses and videos.Then,a feature learning method is proposed to reduce the interference caused by the differences of course difficulty on the dropout prediction.Finally,WSV-HC is proposed to highlight the benefits of integration strategies of boosting and bagging.Experiments on the MOOCCube2020 dataset show that the high accuracy of our ELM-EDP has better results on Accuracy,Precision,Recall,and F1.
文摘针对MOOC中学生行为数据的长短期混合特性,为解决辍学预测中的动态类别不平衡问题,提出一种基于深度学习的辍学预测策略。首先建立以天为时间步长、周为学习周期的新型学生行为时间序列,以捕捉每一时间步长下时间序列数据的短期依赖关系和相邻学习周期之间的长期模式和趋势。然后结合辍学定义的两种不同表达揭示MOOC辍学预测的动态类别不平衡现象。接着引入基于代价敏感的长短期时间序列深度学习模型,以实现对高辍学风险学生的精准预测。最后在KDD Cup 2015数据集上的实验证明,所提策略能够有效帮助MOOC课程教师和教学管理者追踪课程学生在不同时间步长的学习状态,从而动态监控不同学习阶段的辍学行为。
文摘This article is based on research conducted for the European CommissionEducation & Training 2020 working group on digital and online learning(ET2020 WG-DOL) specifically regarding policy challenges, such as thefollowing: 1) Targeted policy guidance on innovative and open learningenvironments under outcome;2) Proposal for a quality assurance modelfor open and innovative learning environments, its impact on specificassessment frameworks and its implication for EU recognition and transparencyinstruments. The article aims to define quality in open, flexible,and online learning, particularly in open education, open educationalresources (OER), and massive open online courses (MOOC). Hence,quality domains, characteristics, and criteria are outlined and discussed,as well as how they contribute to quality and personal learning so thatlearners can orchestrate and take responsibility for their own learningpathways. An additional goal is to identify the major stakeholders directlyinvolved in open online education and to describe their visions, communalities,and conflicts regarding quality in open, flexible, and online learning.The article also focuses on quality in periods of crisis, such as duringthe pandemic in 2020. Finally, the article discusses the rationale and needfor a model of quality in open, flexible, and online learning based on threemajor criteria for quality: excellence, impact, and implementation fromthe learner’s perspective.
