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All Journal Communication in Biomathematical Sciences Studies in English Language and Education
Chen, Yinghui
Unknown Affiliation
Education Languange, Linguistic, Communication & Media Social Sciences

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Tracking teachers experience of adopting my English step to infuse differentiated instruction Mayuni, Ilza; Chen, Yinghui; Ratminingsih, Ni Made; Palupi, Tara Mustikaning; Halim, Nurhasanah
Studies in English Language and Education Vol 11, No 3 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/siele.v11i3.35500

Abstract

As a post-developmental study, this qualitative research is intended to evaluate teachers continued experience in adopting My English Step (MES) digital learning material and promoting inclusion in Differentiated Instruction (DI) at junior high school (JHS). Nine junior high school teachers with MES experience were selected through focus group interviews. Research data were achieved by transforming recorded interviews into verbatim transcription. Three corresponding flows of activity were conducted during data analysis: data condensation, data display, and conclusion drawing and verification. The consistency of findings was triangulated by comparing findings from interviews to those in documents on teachers adoption of MES in class and the literature review. The first finding shows that experiences have influenced MES-usability and teachers intent to adopt MES. Previously perceived as an English learning platform, MES is now posited as an adaptive digital learning object. This digital educational resource can be modified and adhered to its contextual connection. Next, improvements in content and functionality are requisite for MES to be adhered to in English learning in the enactment of Kurikulum Merdeka (KurMer). The last finding affirmed that teacher modification questioning strategies can promote inclusion when adopting and adhering to MES to KurMer. Future research should explore the extent to which students potential to learn English is improved by adopting MES.
Modeling COVID-19 Dynamics with a Medical Treatment Strategy: A Case Study of Thailand Chen, Yinghui; Modnak, Chairat
Communication in Biomathematical Sciences Vol. 8 No. 2 (2025)
Publisher : The Indonesian Bio-Mathematical Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/cbms.2025.8.2.6

Abstract

Since 2020, Thailand has been impacted by the COVID-19 pandemic, which continues to persist into 2025. In response, the country has implemented various disease control measures, including public health campaigns and vaccination programs. While these strategies are still in place, they are now applied with less intensity, allowing people to return to a more normal way of life. However, this relaxed approach can contribute to continued disease transmission. In this study, we shift focus from conventional control measures-such as vaccination, mask-wearing, and social distancing-to strategies aimed at coexisting with the disease while minimizing its spread. Specifically, we investigate the impact of treating symptomatic and severe patients to reduce their infectiousness and thereby lower the risk of transmission to others. To achieve this, we develop a mathematical model of COVID-19 transmission dynamics and apply it using Thailand's 2025 data. We analyze the stability of both the disease-free and endemic equilibrium points and explore an optimal control problem related to medical treatment strategies. Our findings suggest that reducing the infectiousness of symptomatic and severe cases through effective treatment can help slow down the spread of COVID-19, supporting safer coexistence in a society returning to normalcy.
Co-Authors Ilza Mayuni Modnak, Chairat Ni Made Ratminingsih Nurhasanah Halim Palupi, Tara Mustikaning