Abstract: The COVID-19pandemic has affected education at all levels in various ways. This research using an online STEAM course for teacher training for COVID-19 prevention and control education. It integrated Taiwan’s smart learning industry and schools’ resources to design an online course for global teachers. We present a study that used mixed methods design to collect data form 3 instructors and 1104 attendees. The research findings indicated that it is important to consider the availability of physical learning materials for international teachers. Some international teachers may be afraid of making mistakes since their English is not very fluent, if the questions or the difficulty ofthe material could be ranked before the class, this might reduce learning difficulties in non-English-speaking countries. It is hoped that this research will inspire interested and willing teachers to try an online training model for epidemic-prevention education in the .future

• Publication Date: 11-Jun-2022
• DOI: 10.15224/ 978-1-63248-194-8-05
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Abstract: Recently, a novel method, called the “least squares auto-tuning”, which can find hyper-parameters in LS problems (that minimize another (true) objective), is proposed [1]. Although nonconvex and cannot be efficiently solved, this problem can be approximately solved using a powerful proximal gradient method to find good hyper-parameters (for LS problems). In this short paper, to evaluate the effectiveness of the LS auto-tuning method, we realize numerical experiment on a classification problem using the Kuzushiji-MNIST dataset [2].

• Publication Date: 11-Jun-2022
• DOI: 10.15224/ 978-1-63248-194-8-07
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