Research on Online Teaching Satisfaction Based on Big Data and COVID-19

2021 ◽  
Author(s):  
Wei Tang ◽  
Zimao Cheng ◽  
Hao Lian ◽  
Jianhong Zhang
Keyword(s):  
Big Data ◽  
Online Teaching ◽  
Teaching Satisfaction

scholarly journals cExploration of the Online Teaching Method of English Production and Education Integration Based on Big Data

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Pinyi Li ◽  
Meng Li
Keyword(s):  
Economic Development ◽  
Big Data ◽  
Student Learning ◽  
Teaching Methods ◽  
Online Teaching ◽  
Teaching Method ◽  
Entire Study ◽  
English Teaching ◽  
Learning Efficiency ◽  
Improve Student Learning

In the context of my country’s sustained economic development, big data has also been developed to a certain extent, and has now become an issue of great concern to all industries. In the field of education, English is a very important subject. It carries out the entire study life of students. In order to cultivate English professionals, broaden students’ horizons, and achieve integration of production and education, it is necessary to draw lessons from big data. As a basis, online teaching methods are implemented in the process of English teaching to improve student learning efficiency and better realize the integration of production and education. Based on this, this article analyzes the online teaching of English production and education integration based on big data, hoping to provide a certain degree of reference for the research of latecomers.

scholarly journals Chinese University EFL Teachers' Perceived Support, Innovation, and Teaching Satisfaction in Online Teaching Environments: The Mediation of Teaching Efficacy

2021 ◽  
Vol 12 ◽  
Author(s):  
Jiying Han ◽  
Chao Gao ◽  
Jing Yang
Keyword(s):  
Online Teaching ◽  
Teaching Efficacy ◽  
Perceived Support ◽  
Online Questionnaire ◽  
Teaching Resources ◽  
Mediating Role ◽  
Teaching Support ◽  
Efl Teachers ◽  
Teaching Satisfaction ◽  
Support Teacher

This study investigated the relationships between university EFL teachers' perceived teaching support, teacher innovation, and teaching satisfaction in online teaching environments, especially the mediating role of teaching efficacy. The results of an online questionnaire survey with 473 university EFL teachers revealed that although online peer support did not directly make any difference to teacher innovation and teaching satisfaction, greater perceived support in the form of teaching resources and teaching autonomy improved university EFL teachers' online teaching satisfaction. Online teaching efficacy significantly mediated the relationships between teaching support and teacher innovation and satisfaction. The results offer significant implications for improving the effectiveness of EFL teaching and promoting university EFL teachers' innovation and satisfaction in online teaching environments.

scholarly journals Effects of modified BOPPPS-based SPOC and Flipped class on 5th-year undergraduate oral histopathology learning in China during COVID-19

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shan Wang ◽  
Xin Xu ◽  
Fang Li ◽  
Haixia Fan ◽  
Eryang Zhao ◽  
...  
Keyword(s):  
Online Teaching ◽  
Online Courses ◽  
Teaching Method ◽  
Online Classes ◽  
Ministry Of Education ◽  
Oral Diseases ◽  
Teaching Satisfaction ◽  
Medical University ◽  
Post Assessment ◽  
Medicine Education

Abstract Background Colleges and universities in China have offered courses based on online teaching platforms as required by the Ministry of Education since the beginning of the COVID-19 pandemic. This emergency action was not an expedient measure, but a powerful impetus to improve extant education and implement teaching reform. Oral histopathology is a basic subject in oral medicine education, which combines theory with practice. The course aims to improve the ability of students to observe, think, analyze and identify oral diseases. Method We adjusted and modified the original Bridge-In, Outcomes, Pre-assessment, Participatory Learning, Post-assessment, and Summary (BOPPPS) teaching method to fit the characteristics and needs of oral histopathology. We then combined the characteristics of Small Private Online Courses (SPOCs) and a Flipped class to complete teaching material online, and assessed the effects of such teaching using a questionnaire and interviews. Fifty 5th-year undergraduates in stomatology at the School of Stomatology of Harbin Medical University of China participated in online classes. All were in the junior second half of the semester at the beginning of 2020. Teachers investigated from various medical colleges were responsible for delivering courses associated with stomatology or ophthalmology. Result & conclusion The results showed that the modified BOPPPS combined with SPOC and the Flipped class improved teaching satisfaction. Modified BOPPPS combined with SPOC and the Flipped class is a useful complement to offline teaching on 5th-year undergraduate oral histopathology learning in China during COVID-19, and it can meet the multiple needs of students participating in the course.

scholarly journals Analysis of Online Learning Behaviour from a Tutor Perspective: Reflections on Interactive Teaching and Learning in the Big Data Era1

2015 ◽  
Vol 10 (2) ◽  
pp. 29-48 ◽  
Author(s):  
Yanhui Han* ◽  
Shunping Wei ◽  
Shaogang Zhang
Keyword(s):  
Big Data ◽  
Learning Process ◽  
Learning Analytics ◽  
Online Teaching ◽  
Teaching And Learning ◽  
Process Data ◽  
Accurate Analysis ◽  
Online Teaching And Learning ◽  
Face To Face ◽  
Education In China

In the field of education in China, a large number of learning management systems have been deployed, in which vast amounts of data on learners and learning processes have been stored. How can one make use of these data? How can one transform the data into information and knowledge that inform decision-making in teaching and optimize learning? These questions have become a matter of concern for educators and learners. Learning analytics helps to unlock the value of the learning process data, so that the data can become an important basis for prudent decisions and process optimization. 'Learning analytics' was listed in the 2013 NMC Horizon Report as one of the emerging technologies that will have a great impact on learning, teaching and innovative research in higher education in two to three years. The report notes that learning analytics aims to decipher trends and patterns in the teaching and learning process from educational big data. In this paper, an online course on the Moodle platform is used for the research. The study examines reflection on online teaching and learning based on massive records of the learning process from the perspective of a tutor employing learning analytics. It is a brand new form of reflection on teaching and learning. The analysis of interactive course forums can help tutors to focus on key teaching and learning activities, and achieve more accurate analysis than with conventional face-to-face teaching activities. The research indicates that learning analytics is effective in supporting tutor reflection on interactive online teaching and learning.

scholarly journals Design and Realization of Big Data Learning Aid System Based on MOOC

2021 ◽  
Vol 275 ◽  
pp. 03017
Author(s):  
HongHai Ping
Keyword(s):  
Big Data ◽  
Online Teaching ◽  
Large Scale ◽  
Main Body ◽  
Ministry Of Education ◽  
Teaching Resources ◽  
Student Activities ◽  
Internet Education ◽  
Teacher Student ◽  
Teachers And Students

At the beginning of 2020, in the face of the sudden new crown epidemic, the Ministry of Education proposed an emergency response policy of “stopping classes without stopping school”, and various teaching units have carried out unprecedented online teaching practices. This large-scale online teaching wave has accelerated the development speed and application scope of “Internet + Education”. Based on the big data learning support system, with teachers and students as the main body, using big data technology to integrate high-quality teaching resources and reduce teaching Cost, design and implement teaching aid system for teachers and students. Based on massive online learning data, through intelligent analysis of academic data, it will provide learners with learning suggestions, online examinations, teacher-student activities, assist teachers in implementing student evaluations, carry out precise teaching and research, and improve the curriculum resource construction system.

Future Trends in Community of Inquiry Research and Big Data

2018 ◽  
pp. 97-112
Keyword(s):  
Big Data ◽  
Online Teaching ◽  
Teaching And Learning ◽  
Affective Computing ◽  
Community Of Inquiry ◽  
Research Work ◽  
Future Trends ◽  
Online Teaching And Learning ◽  
Research Areas ◽  
Big Data Technologies

Chapter 6 provides a summary of the topics around the Community of Inquiry, big data frameworks and tools, and additional commentary on these constructs. Additionally, the authors provide a concrete example of research work that has been updated with use of emerging big data technologies, provide concrete advice for future researchers working in these same or similar research areas, and describe further insights and sharing of the authors' research as it connects to constructs related to the CoI framework and online teaching and learning. Finally, the chapter includes predictions for future trends relating to big data and the constructs of the Community of Inquiry. Overall predictions are towards automated data analysis tools that are capable of looking into newer areas of analyses such as affective computing. A list of additional readings is included.

Sign in / Sign up

Export Citation Format

Share Document