BP-CM Model: A teaching model for improving the teaching quality of IoT hardware technology based on BOPPPS and memory system

被引:4
作者
Chen, Rongjun [1 ]
Luo, Xiaomei [1 ]
Nie, Qiong [2 ]
Wang, Leijun [1 ]
Li, Jiawen [1 ]
Zeng, Xianxian [1 ]
机构
[1] Guangdong Polytech Normal Univ, Sch Comp Sci, Guangzhou 510665, Peoples R China
[2] Guangdong Polytech Normal Univ, Coll Fine Arts, Guangzhou 510665, Peoples R China
关键词
IoT; Hardware; BP-CM; Cyclic memory; Memory system; Teaching model;
D O I
10.1007/s10639-022-11432-7
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This paper proposes the BP-CM teaching model to solve the problems of lagging classroom feedback, poor learning initiative of students and students rapidly forgetting what they have learned in Internet of Things (IoT) hardware technology courses. This BP-CM(BOPPPS, PAD, cyclic memory, memory system) teaching model is based on BOPPPS(Bridge in, Objective, Pre-assessment, Participatory learning, Post-assessment, and Summary), PAD(Presentation, Assimilation, and Discussion), and the memory system model. This paper compares the BP-CM teaching model with the traditional teaching model by having research participants teach and learn separately in each teaching model. Taking the Microcontroller Unit (MCU) course as an example, this paper introduces each link of the teaching design of this model. It also explains the design method and intention of each link. Finally, the practical results indicate that the BP-CM teaching model proposed in this article positively impacts students' learning initiative and memory. In addition, teachers can obtain timely feedback using the BP-CM model, and the model significantly improves students' knowledge and ability levels. It enhances the teaching quality of IoT hardware technology courses and is conducive to cultivating students' sustainable learning abilities. This research not only promotes education and teaching reform but also provides a reference case.
引用
收藏
页码:6249 / 6268
页数:20
相关论文
共 32 条
[1]  
Atkinson R., 1968, The psychology of learning and motivation: Advances in research and theory, V2, DOI [DOI 10.1016/S0079-7421, 10.1016/S0079-7421(08)60422-3, DOI 10.1016/S0079-7421(08)60422-3]
[2]   A Survey of Research in Microcontroller Education [J].
Bolanakis, Dimosthenis E. .
IEEE REVISTA IBEROAMERICANA DE TECNOLOGIAS DEL APRENDIZAJE-IEEE RITA, 2019, 14 (02) :50-57
[3]   Short-Term Memory to Long-Term Memory Transition in a Nanoscale Memristor [J].
Chang, Ting ;
Jo, Sung-Hyun ;
Lu, Wei .
ACS NANO, 2011, 5 (09) :7669-7676
[4]   Time-Tailoring van der Waals Heterostructures for Human Memory System Programming [J].
Chen, Huawei ;
Liu, Chunsen ;
Wu, Zuheng ;
He, Yongli ;
Wang, Zhen ;
Zhang, Heng ;
Wan, Qing ;
Hu, Weida ;
Zhang, David Wei ;
Liu, Ming ;
Liu, Qi ;
Zhou, Peng .
ADVANCED SCIENCE, 2019, 6 (20)
[5]  
Chen J., 2020, 2020 IEEE 2 INT C CO, DOI DOI 10.1109/CSEI50228.2020.9142522
[6]   A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems [J].
Chettri, Lalit ;
Bera, Rabindranath .
IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (01) :16-32
[7]  
Dandan Zhu, 2020, 2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). Proceedings, P901, DOI 10.1109/ICITBS49701.2020.00199
[8]  
Dickerson SJ, 2017, PROC FRONT EDUC CONF
[9]  
Gillis JohnR., 1996, Commemorations: The Politics of National Identity
[10]   Research on single chip microcomputer teaching platform based on wireless communication [J].
Guo, Liqiang .
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (13)