News
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Artworks of 13 AU Students Win the Red Dot Design Awards
One of the 13 artworks entitled “Taiwanese Traditional Weaving” also won a Gold Medal of the ADC in America and another entitled “BEAU Lipstick Gift Box” won a Bronze Medal.
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The influences of Student Engagement on Academic Achievement for College Students: The Moderating Effect of Reading Engagement
The purpose of this study is to test whether reading engagement has a moderating effect on student engagement and academic achievement. We collected data from 4,495 Asia University students’ absenteeism rate, book borrowing records and academic performance, and then conducted empirical analysis using hierarchical regression methods.
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Precision education with statistical learning and deep learning: A case study in Taiwan
This study investigated how big data and artificial intelligence can be used to help universities to more precisely understand student backgrounds, according to which corresponding interventions can be provided. For this study, 3552 students from a university in Taiwan were sampled. A statistical learning method and a machine learning method based on deep neural networks were used to predict their probability of dropping out.
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IR dictionary
The IR Center completed the compilation of the IR dictionary in 2016.
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AU Enters MOE-supported 2020 National Teaching Practice Research Program
31 Asia University professors are granted projects of the program with an approval rate of 49.2% being ranked No. 4 in Taiwan.
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The AU Students Win One Gold, Two Bronze, and Three Merit Medals of the ADC Awards
The six students of the Dept. of Visual Communication at AU won prizes of the 99th ADC Award. Among the participating colleges, AU is ranked the 13th in the world and the 1st in Taiwan.
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Asia University Enters the List of 2020 World University Impact Rankings by THE Report.
AU is the top-5 universities and top-2 private universities in Taiwan after being ranked in No. 201-300 in the 2020 World University Impact Rankings.
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A New Face Recognition System Developed by AU Faculty and Students for COVID-19 Prevention.
The face recognition system is capable of recognizing faces of people even with masks with 95% accuracy.