Mathematics teacher professional development program: fostering the skills for teaching meaningful mathematics through active learning during pandemic era

Nurhasanah, Farida; Usodo, Budi; Ekana, C. H; Kuswardi, Yemi; Sutopo, Sutopo; Lestari, Setyani Dwi

doi:10.1088/1742-6596/1957/1/012017

Cited by 2 publications

(2 citation statements)

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“…In line with the development of technology, collaborative learning is no longer limited to face-to-face learning and can be done virtually. Previous research has often focused on the use of the Google Classroom app on science (Dash, 2019;Akhmal et al, 2020), mathematics (Abidin et al, 2021;Nurhasanah et al, 2021), and language subjects (Ammang et al, 2019;Fauzan & Nadia, 2021;Lau & Maslawati, 2021).…”

Section: Introductionmentioning

confidence: 99%

The Effect of Google Classroom Assisted Learning on Interest among form Six Economics Students

Sari¹,

Yin²

2021

IJARPED

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The use of online learning approaches such as Google Classroom has become a necessity since the Covid-19 pandemic. Through the Jalinan Digital Negara (JENDELA) plan (2020-2022), the digital learning approach is expected to be strengthened with better improvements postpandemic in Malaysia. In line with the development of technology, collaborative learning is no longer limited to face-to-face but virtual. However, it has become common for collaborative learning approaches to be conducted face-to-face. To date, there is still a lack of Google Classroom-assisted collaborative learning research on economics subjects. This study aims to test the effect of Google Classroom-assisted learning on non-cognitive aspects, namely the interests of economics students. This quasi-experimental study used pre and postquestionnaire instruments to collect data on 207 form six economics students through cluster random sampling. Descriptive analysis and ANOVA were performed after data were collected and coded. The results showed that the group of students who were exposed to the collaborative approach (GCDK) showed a better interest in economic learning than the group of students who were not exposed to the collaborative approach (GCTK and KPK). The implications of this study contribute to teachers, administrators, and policymakers being prepared with the implementation transformation of the futuristic pedagogical methods. It is recommended for future researchers to conduct further research to identify the readiness and acceptance of educators towards the implementation of this learning approach. The learning approach is also recommended to be implemented on other subjects with a larger number of students.

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Section: Introductionmentioning

confidence: 99%

The Effect of Google Classroom Assisted Learning on Interest among form Six Economics Students

Sari¹,

Yin²

2021

IJARPED

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“…It provides teacher quality assurance for the delivery of high-quality engineering and scientific talents in high-end manufacturing fields. Nurhasanah et al [20] is a report on the community service plan for mathematics teachers. The plan aims to develop the skills of math teachers to teach meaningfully through active learning using Google Classroom.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Test and Evaluation Path of College Teachers' Professional Development Based on a Cloud Education Big Data Platform

Wang¹

2023

Int. J. Emerg. Technol. Learn.

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Teachers serve as carriers who shoulder the important task of improving the quality of education, and their professional level affects the quality of vocational and technical personnel training. At present, the professional growth of teachers in vocational colleges has attracted more and more attention from the society. This article studies the comprehensive test and evaluation path of college teachers' professional development based on cloud education big data platform. This article constructs a "supply-demand relationship" model between cloud education big data platform and college teachers' professional development, and expounds the comprehensive test and evaluation strategy of college teachers' professional development based on cloud education big data platform. This article constructs a comprehensive measure index system of influencing factors of college teachers' professional development, and weights the evaluation indexes based on AHM attribute hierarchy model. By optimizing the super-efficiency SBM model, it proposes a comprehensive evaluation method considering the temporal and spatial features of college teachers' professional development level, which is suitable for different professional teachers' professional development features. The experimental results verify the effectiveness of the evaluation index system and evaluation model.

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Mathematics teacher professional development program: fostering the skills for teaching meaningful mathematics through active learning during pandemic era

Cited by 2 publications

References 1 publication

The Effect of Google Classroom Assisted Learning on Interest among form Six Economics Students

The Effect of Google Classroom Assisted Learning on Interest among form Six Economics Students

Comprehensive Test and Evaluation Path of College Teachers' Professional Development Based on a Cloud Education Big Data Platform

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