BP-CM Model: A Teaching Model for Improving the Teaching Quality of IoT Hardware Technology Based on BOPPPS and Memory System

Autor/inn/en	Chen, Rongjun; Luo, Xiaomei; Nie, Qiong; Wang, Leijun; Li, Jiawen; Zeng, Xianxian
Titel	BP-CM Model: A Teaching Model for Improving the Teaching Quality of IoT Hardware Technology Based on BOPPPS and Memory System
Quelle	In: Education and Information Technologies, 28 (2023) 6, S.6249-6268 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Nie, Qiong)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1360-2357
DOI	10.1007/s10639-022-11432-7
Schlagwörter	Teaching Models; Teacher Improvement; Educational Technology; Internet; Computer Uses in Education; Instructional Design; Memory + Suchen Sie Ihr Suchwort? Lehrmodell; Unterrichtsmedien; Computernutzung; Lesson concept; Lessonplan; Unterrichtsentwurf; Gedächtnis
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01