Effect of Micro-Teaching Method Supported by E-Learning Platforms in Enriching Pre-service Mathematics Teachers' Teaching Practice s and Improve Self-efficacy

El-ahwal, Marwa

doi:10.21608/ihites.2020.43173.1036

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…Especially with the economic society, data has become foundation. Strategic resources and big data are increasingly having impact on various industries [6]. Opening a business must have a clear purpose.…”

Section: Introductionmentioning

confidence: 99%

Design and Management of Micro-Teaching Mode of Education in Colleges Driven by Big Data

Guo

2023

Wireless Communications and Mobile Computing

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Big data has become a new driving force for national innovation and entrepreneurship. Although colleges and universities, which are responsible for cultivating high-quality entrepreneurship and innovation talents, have achieved certain results, there are still many problems in practice, which need to be driven by big data. Big data and the practice of innovation and entrepreneurship education in colleges and universities have certain inherent commonality. The integration of big data into the practice of innovation and entrepreneurship education in colleges and universities needs to be improved and strengthened in terms of top-level design, data environment, and educational concepts. Educational big data has become a hot topic and trend in educational research. College students’ entrepreneurship is a kind of entrepreneurial process in which special groups of college students and graduate students are the main body of entrepreneurship. With the recent transformation process of our country and the increasing pressure of social employment, entrepreneurship has gradually become a career choice for college students and graduates. Through data mining, statistical analysis, model construction, and comprehensive reasoning of educational big data are realized, and positive suggestions and countermeasures are provided for education and teaching. On the basis of the pattern analysis of educational data mining process, the concrete application of educational data mining is analyzed, and the correlation and rules between educational phenomena are found, so as to provide educational prediction and educational decision support for further optimization of teaching.

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Section: Introductionmentioning

confidence: 99%

Design and Management of Micro-Teaching Mode of Education in Colleges Driven by Big Data

Guo

2023

Wireless Communications and Mobile Computing

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“…Teachers contribute to preparing students to face increasingly large and complex challenges as the times develop (Mamoh & Bete, 2019). In addition, teachers play an essential role in providing better education and quality learning to students (El-ahwal, 2020;Fadhliyah et al, 2020;Fatmawati & Utama, 2023;König et al, 2021;Nelly et al, 2022;Suryawati et al, 2021). It is supported by (Sheveleva et al, 2021) survey of 600 teachers, which shows that teacher professionalism is one of the most critical factors affecting the quality of education.…”

Section: Introductionmentioning

confidence: 99%

Utilization of Merdeka Mengajar Platform by Productive Mathematics Teachers : Impacts, Motivations, and Strategies

Ikram,

Anaguna,

Rosidah

2023

j. kependidikan. has. penelit. kaji. kepustakaan. bid. pendidik

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This study aims to analyze the impact, motivation, and strategy of using the Merdeka Mengajar platform by productive mathematics teachers. This study used mixed-method with case studies in its qualitative research and quasi-experiments in its quantitative research. The participants of the case study were 15 productive mathematics teachers, and the sample of the quasi-experiment was one of the classes taught by the teacher. Quantitative data were obtained from students' learning outcomes, and qualitative data from semi-structured teacher interviews. The quantitative analyses used were descriptive statistics and inferential statistics. The qualitative analysis refers to three steps: data condensation, data display, and decision-making. The results showed that the impact obtained by mathematics teachers was an enhancement in competence and knowledge, including those related to teaching and technology. Learning innovations inspired by learning outcomes in PMM were effectively implemented in the mathematics classroom. What motivates teachers to optimize the use of PMM varies from the desire to continue learning and provide the best quality of learning to the desire to contribute to student success and to be role models. There are three elements in productive mathematics teachers' strategies to optimize the use of PMM in self-development. They are targets, consistency, notes and implementation with feedback, and self-reward as a supporting element.

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Effect of Micro-Teaching Method Supported by E-Learning Platforms in Enriching Pre-service Mathematics Teachers' Teaching Practice s and Improve Self-efficacy

Cited by 2 publications

References 10 publications

Design and Management of Micro-Teaching Mode of Education in Colleges Driven by Big Data

Design and Management of Micro-Teaching Mode of Education in Colleges Driven by Big Data

Utilization of Merdeka Mengajar Platform by Productive Mathematics Teachers : Impacts, Motivations, and Strategies

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