Zhengyang Wu
Biographic Data
| ID | 6541194 |
|---|---|
| NAME | Zhengyang Wu |
| GIVEN NAMES | Zhengyang |
| FAMILY NAME | Wu |
| SIGNATURE | WU Z |
| AFFILIATIONS | South China Normal University |
| ORCID | 0000-0001-8203-8026 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Self-efficacy for self-regulated learning and blended learning intention
Blended learning, a key driver of higher education’s digital evolution, demands attention to students’ psychological readiness for its effective adoption. This study explored the critical link between self-efficacy for self-regulated learning and the intention to engage in blended learning among Chinese university students. We focused on the mediating effects of perceived usefulness and perceived ease of use as postulated by the technology accept…
Gain or Pain
Artificial intelligence (AI) has become increasingly pervasive and plays a crucial role in the service industry. However, its impact on employee service performance remains ambiguous. Drawing on affective events theory, this research investigates the curvilinear effect of AI adoption on service performance, with vigor and anxiety acting as mediators. We further explore how this indirect curvilinear effect is contingent on two key factors: proacti…
CeKT
The integration of artificial intelligence has become a hot topic in the field of education. However, current studies primarily focus on personalization for learners, with the aim of accurately modeling learners’ knowledge level based on their learning history and providing better personalized services, while overlooking the needs of educators. In contrast to the focus on personalization of learners, educators place greater emphasis on accurately…
MetaGA
The recommendation of long-tail items has been a persistent issue in recommender system research. The primary reason for this problem is that the model cannot learn better item features due to the lack of interactive record data of tail items, which leads to a decline in the model's recommendation performance. Existing methods transfer the features of the head items to the tail items, thereby ignoring their differences and failing to produce a sa…
No prominent works on this page.
CeKT
The integration of artificial intelligence has become a hot topic in the field of education. However, current studies primarily focus on personalization for learners, with the aim of accurately modeling learners’ knowledge level based on their learning history and providing better personalized services, while overlooking the needs of educators. In contrast to the focus on personalization of learners, educators place greater emphasis on accurately…
MetaGA
The recommendation of long-tail items has been a persistent issue in recommender system research. The primary reason for this problem is that the model cannot learn better item features due to the lack of interactive record data of tail items, which leads to a decline in the model's recommendation performance. Existing methods transfer the features of the head items to the tail items, thereby ignoring their differences and failing to produce a sa…
Self-efficacy for self-regulated learning and blended learning intention
Blended learning, a key driver of higher education’s digital evolution, demands attention to students’ psychological readiness for its effective adoption. This study explored the critical link between self-efficacy for self-regulated learning and the intention to engage in blended learning among Chinese university students. We focused on the mediating effects of perceived usefulness and perceived ease of use as postulated by the technology accept…
Gain or Pain
Artificial intelligence (AI) has become increasingly pervasive and plays a crucial role in the service industry. However, its impact on employee service performance remains ambiguous. Drawing on affective events theory, this research investigates the curvilinear effect of AI adoption on service performance, with vigor and anxiety acting as mediators. We further explore how this indirect curvilinear effect is contingent on two key factors: proacti…
Computer Science (3 works) · Artificial Intelligence (2 works) · Advanced Graph Neural Networks (1 work) · AI in Service Interactions (1 work) · Applied Psychology (1 work) · Applied Psychology (1 work) · Blended Learning (1 work) · Business (1 work) · Business administration (1 work) · Cyberloafing and Workplace Behavior (1 work)