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
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.
