Yinong Chen
Biographic Data
| ID | 9259136 |
|---|---|
| NAME | Yinong Chen |
| GIVEN NAMES | Yinong |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN Y |
| AFFILIATIONS | Arizona State University |
| ORCID | 0009-0007-9773-3495 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Identifying dominant and heterogeneous factors influencing students’ future capabilities under the digital transformation of higher education
In the context of digital transformation of higher education, an in-depth analysis of the key factors influencing students’ future capabilities is crucial for optimizing curriculum design and resource allocation. This study combines Self-Determination Theory (SDT) with interpretable machine learning methods, and uses 1,083 valid questionnaires from the German Forum for Digitalization of Higher Education (HFD) from November 2023 to March 2024 as s…
A Study on the Factors Influencing the Digital Transformation of German Higher Education Institutions and Their Pathways of Action
This study examines the digital transformation of 20 German higher education institutions (HEIs) through a fuzzy set qualitative comparative analysis (fsQCA) approach, with a focus on digital readiness, practice, and performance. The findings show that the key factors influencing digital transformation include the rate of internet access, the quantity of open educational resources, the level of digital technology‐assisted teaching, the number of …
Effects of artificial intelligence learning environments on engineers’ intercultural communication competence
The purpose of this study is to investigate the impact of artificial intelligence learning environments on the intercultural communication competence of engineers. Engineering students at Chinese higher education institutions were invited to participate, and 990 students (510 males and 480 females) from different school types, majors, and grades completed an online survey. After analyses with multivariate linear regression and structural equation…
Collaborative Learning Using Wiki Web Sites for Computer Science Undergraduate Education
This paper proposes a collaborative approach to enhancing the student learning experience based on Web 2.0 principles. Specifically, wiki Web sites are used by students for collaboration and for publication of course assignments, which are then shared with the class. Web 2.0 principles include: the Web as platform, harnessing collective intelligence, data are the next Intel Inside, and rich user experiences. Based on a case study in a junior-leve…
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Collaborative Learning Using Wiki Web Sites for Computer Science Undergraduate Education
This paper proposes a collaborative approach to enhancing the student learning experience based on Web 2.0 principles. Specifically, wiki Web sites are used by students for collaboration and for publication of course assignments, which are then shared with the class. Web 2.0 principles include: the Web as platform, harnessing collective intelligence, data are the next Intel Inside, and rich user experiences. Based on a case study in a junior-leve…
Effects of artificial intelligence learning environments on engineers’ intercultural communication competence
The purpose of this study is to investigate the impact of artificial intelligence learning environments on the intercultural communication competence of engineers. Engineering students at Chinese higher education institutions were invited to participate, and 990 students (510 males and 480 females) from different school types, majors, and grades completed an online survey. After analyses with multivariate linear regression and structural equation…
Identifying dominant and heterogeneous factors influencing students’ future capabilities under the digital transformation of higher education
In the context of digital transformation of higher education, an in-depth analysis of the key factors influencing students’ future capabilities is crucial for optimizing curriculum design and resource allocation. This study combines Self-Determination Theory (SDT) with interpretable machine learning methods, and uses 1,083 valid questionnaires from the German Forum for Digitalization of Higher Education (HFD) from November 2023 to March 2024 as s…
A Study on the Factors Influencing the Digital Transformation of German Higher Education Institutions and Their Pathways of Action
This study examines the digital transformation of 20 German higher education institutions (HEIs) through a fuzzy set qualitative comparative analysis (fsQCA) approach, with a focus on digital readiness, practice, and performance. The findings show that the key factors influencing digital transformation include the rate of internet access, the quantity of open educational resources, the level of digital technology‐assisted teaching, the number of …
Computer Science (2 works) · Digital transformation (2 works) · Knowledge management (2 works) · Psychology (2 works) · The Internet (2 works) · Adaptability (1 work) · Class (philosophy) (1 work) · Cognitive science (1 work) · Collaborative learning (1 work) · Digital Learning (1 work)