Research on Online and Offline Blended Teaching Method for Big Data Course in Financial Universities
Authors: 
Mo Hai, Haifeng Li, Yangyang HuangAuthors Info & Claims
Mo Hai, Haifeng Li, Yangyang HuangAuthors Info & ClaimsPages 129 - 133
Abstract
Aiming at the problems existing in the traditional classroom teaching mode adopted in the teaching of big data courses in financial universities: fail to reflect "student-centered", unable to cultivate students' autonomous learning ability, and lack of students' learning time and thinking time, we study a blended teaching method for big data course in financial universities, and design the implementation scheme of blended teaching from three stages: before class, in class and after class. At the same time, a specific teaching example is given, and the evaluation method of blended teaching is further put forward.
References
[1]
Allen I E, Seaman J. Sizing the Opportunity: The Quality and Extent of Online Education in the United States, 2002 and 2003[J].Sloan Consortium, 2003(23):659-673.
[2]
Jones N. The Handbook of Blended Learning: Global Perspectives, Local Designs [J]. Pfeiffer Publishing, 2006:182-194.
[3]
Bliuc A M, Goodyear P, Ellis R A. Research Focus and Methodological Choices in Studies into Students’ Experiences of Blended Learning in Higher Education[J]. Internet & Higher Education, 2007(4):231-244.
[4]
Wu J H, Tennyson R D, Hsia T L. A Study of Student Satisfaction in a Blended e-learning System Environment[J]. Computers & Education, 2010(1):155-164.
[5]
Al-Busaidi K A, Al-Shihi H. Key Factors to Instructors’ Satisfaction of Learning Management Systems in Blended Learning[J]. Journal of Computing in Higher Education, 2012(1): 18-39.
[6]
Goodyear V, Dudley D. “I'm a Facilitator of Learning! ” Understanding What Teachers and Students Do Within Student-Centered Physical Education Models[J].Quest, 2015(3): 274-289.
[7]
Michael B. Horn, Clayton Christensen Institute. Blended Using Disruptive Innovation To Improve Schools [M]. 2015.
[8]
Feng Xiaoying, Wang Ruixue, Wu Yijun. A Literature Review on Blended Learning:Based on Analytical Framework of Blended Learning [J]. Journal of Distance Education, 2018,3:13-24.
[9]
Xu Xin, Teaching Reform and Practice of Big Data Courses in Universities of Finance and Economics [J]. Education Teaching Forum, 2020,6(23):198-199.
[10]
Feng Xiaoying, Cao Jieting, Huang Luoying. Designing blended learning in the Internet plus era [J]. Distance Education in China,2020,8:25-32.
[11]
Hassan Sharafuddin, Chekra Allani. Evaluation of the Blended Learning System in Higher Education: AOU – Kuwait [J]. International Journal of Information and Education Technology, 2012, 2(4): 412-414.
[12]
Jiangbo Shu, Qianqian Hu, Min Zhi. Research on the Learning Behavior of University Students in Blended Teaching [J]. International Journal of Information and Education Technology, 2019, 9(2): 92-98.
[13]
Nuanphan Chaiyama. The Development of Blended Leaning Model by Using Active Learning Activity to Develop Learning Skills in 21st Century[J]. International Journal of Information and Education Technology, 2019, 9(12): 880-886.
[14]
Jowati Juhary. Perceptions of Students: Blended Learning for IR4.0 [J], International Journal of Information and Education Technology, 2019,9(12): 887-892.
[15]
Wei He, Li Zhao. Exploring Undergraduates' Learning Engagement via BYOD in the Blended Learning Classroom (EULEBYODBLC)[J], International Journal of Information and Education Technology, 2020, 10(2):159-164.
[16]
Au Thien Wan. How Can Learners Learn from Experience? A Case Study in Blended Learning at Higher Education [J], International Journal of Information and Education Technology, 2015, 5(8): 615-619.
[17]
Qiusha Min, Guanghui Wu. A Blended Learning Strategy for Professional English Course in a Cloud Learning Environment [J]. International Journal of Information and Education Technology, 2017, 7(8): 608-611.
[18]
Wei Zhang, Chang Zhu. Review on Blended Learning: Identifying the Key Themes and Categories [J], International Journal of Information and Education Technology, 2017,7(9): 673-678.
[19]
Guangzhi Qu, Lunjin Lu. A Study on Blended Learning Assessment Methods for Laboratory Intensive Courses Teaching [J], International Journal of Information and Education Technology, 2012,2(6): 603-607.
[20]
Gert Hurkmans, Linda Goos. The Use of Smartschool as an Electronic Platform for Blended Language Learning [J]. International Journal of Information and Education Technology, 2013, 3(1):110-112.
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Published In
October 2021
495 pages
ISBN:9781450385114
DOI:10.1145/3498765
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Association for Computing Machinery
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Published: 08 February 2022
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ICETC 2021
ICETC 2021: 2021 13th International Conference on Education Technology and Computers
October 22 - 25, 2021
Wuhan, China
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