Shaofeng Wang
Biographic Data
| ID | 4466125 |
|---|---|
| NAME | Shaofeng Wang |
| GIVEN NAMES | Shaofeng |
| FAMILY NAME | Wang |
| SIGNATURE | WANG S |
| AFFILIATIONS | Zhejiang University |
| ORCID | 0000-0002-0300-2453 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Pedagogical partnerships with generative AI in higher education
The rapid integration of generative artificial intelligence (GenAI) into higher education has precipitated a critical tension between the pursuit of efficiency and the imperative for deep, transformative learning. While GenAI offers unprecedented speed in knowledge processing, it raises concerns that efficiency-driven motivations may erode the cognitive struggle essential for intellectual growth. This study investigates how Human-GenAI pedagogica…
A Bi-Level Optimization Method Integrating Evolutionary Game Theory and Deep Reinforcement Learning
Ride-hailing dispatch systems face significant challenges under fluctuating demand and dynamic traffic conditions, where efficient coordination is essential for both platform performance and driver income among large-scale ride-hailing vehicles. This paper constructs a grid-based ride-hailing vehicle dispatch decision model (GRV-DDM), which provides a structured and quantifiable representation of vehicles and orders, effectively capturing spatio-…
Multi-Agent Deep Reinforcement Learning with Contrastive Policy Diversification and Hierarchical Graph Networks for Urban Traffic Signal Control
Multi-Agent Reinforcement Learning (MARL) provides an effective approach for urban multi-intersection traffic signal control. However, existing methods have faced two fundamental challenges, policy homogenization and inefficient credit assignment. The former led to convergent agent policies that failed to adapt to heterogeneous traffic patterns, while the latter prevented agents from accurately evaluating their individual contributions to system …
When machines join the team
Purpose This study examines how artificial intelligence (AI) digital employee integration (AIDEI) influences organizational adaptability (OA) via cross-boundary knowledge sharing (CBKS) and collective psychological safety (CPS), and how polarization about AI-related job displacement (PAIJD) moderates these links. Design/methodology/approach We conducted a multi-method study of 405 banking managers in China, Europe and the United States, plus 36 i…
Digital mentor paradox
Artificial intelligence in urban land use
Urban land use policy increasingly intersects with digital transformation strategies as cities worldwide pursue smart development agendas. This study examines how regional institutional frameworks—encompassing land use regulations, digital economy policies, and urban development priorities—shape the adoption and outcomes of artificial intelligence technologies among urban land users. Focusing on the hospitality sector as intensive urban land occu…
Evaluating the determinants of Metaverse learning benefits in higher education
The combined effects of goal attributes, motivational beliefs, creativity and grit on self-regulation in online ill-structured problem solving
Self-regulated learning (SRL) has been regarded as one of the indispensable factors affecting students' academic success in online learning environments. However, the current understanding of the mechanism/causes of SRL in online ill-structured problem-solving remains insufficient. This study, therefore, examines the configural causal effects of goal attributes, motivational beliefs, creativity, and grit on self-regulated learning. With the fuzzy…
Internet use as a moderator between adverse childhood experiences and cognitive function in middle-aged and older adults
Background: Adverse Childhood Experiences (ACEs) are well-established risk factors for cognitive decline in later life. While internet use has been proposed as a modifiable protective factor, its moderating role in the ACEs-cognition relationship remains underexplored. Objective: This study examines how internet use moderates the relationship between ACEs and cognitive function in middle-aged and older adults. Methods: Data from the China Health …
Strengthening SMEs competitiveness and performance via industrial internet
The industrial internet acts as a crucial accelerator for driving enterprise digital transformation and plays a vital role in enhancing performance and competitiveness. However, our understanding of how small and medium-sized enterprises (SMEs) leverage the industrial internet to improve their performance and competitiveness remains limited. This study developed a “Digital transformation paths chain” framework to shed light on the key factors tha…
Yuanzhi powder facilitated Aβ clearance in APP/PS1 mice
Effects of higher education institutes’ artificial intelligence capability on students' self-efficacy, creativity and learning performance
Understanding students’ participation of intelligent teaching
The new era of technologies represented by artificial intelligence is profoundly reconstructing the field of education. The integration of emerging technologies in intelligent teaching provides new approaches for improving teaching effectiveness and enriching learning experiences. Today, we know little about students’ participation in intelligent teaching with the help of artificial intelligence. In this study, we investigated the mechanism of st…
Exploring effects of intelligent recommendation, interactivity, and playfulness on learning engagement
Yuanzhi Powder inhibits tau pathology in Samp8 mice
YZP could enhance cognitive performance and learning of AD, ameliorate tau pathology and significantly improve the binding ability of tau to microtubules, based potentially on inhibiting the excessive aggregation of hyperphosphorylated tau via the 26Sproteasome pathway but not necessarily the only one
No prominent works on this page.
Effects of higher education institutes’ artificial intelligence capability on students' self-efficacy, creativity and learning performance
Understanding students’ participation of intelligent teaching
The new era of technologies represented by artificial intelligence is profoundly reconstructing the field of education. The integration of emerging technologies in intelligent teaching provides new approaches for improving teaching effectiveness and enriching learning experiences. Today, we know little about students’ participation in intelligent teaching with the help of artificial intelligence. In this study, we investigated the mechanism of st…
Exploring effects of intelligent recommendation, interactivity, and playfulness on learning engagement
Yuanzhi Powder inhibits tau pathology in Samp8 mice
YZP could enhance cognitive performance and learning of AD, ameliorate tau pathology and significantly improve the binding ability of tau to microtubules, based potentially on inhibiting the excessive aggregation of hyperphosphorylated tau via the 26Sproteasome pathway but not necessarily the only one
Strengthening SMEs competitiveness and performance via industrial internet
The industrial internet acts as a crucial accelerator for driving enterprise digital transformation and plays a vital role in enhancing performance and competitiveness. However, our understanding of how small and medium-sized enterprises (SMEs) leverage the industrial internet to improve their performance and competitiveness remains limited. This study developed a “Digital transformation paths chain” framework to shed light on the key factors tha…
Yuanzhi powder facilitated Aβ clearance in APP/PS1 mice
Evaluating the determinants of Metaverse learning benefits in higher education
The combined effects of goal attributes, motivational beliefs, creativity and grit on self-regulation in online ill-structured problem solving
Self-regulated learning (SRL) has been regarded as one of the indispensable factors affecting students' academic success in online learning environments. However, the current understanding of the mechanism/causes of SRL in online ill-structured problem-solving remains insufficient. This study, therefore, examines the configural causal effects of goal attributes, motivational beliefs, creativity, and grit on self-regulated learning. With the fuzzy…
Internet use as a moderator between adverse childhood experiences and cognitive function in middle-aged and older adults
Background: Adverse Childhood Experiences (ACEs) are well-established risk factors for cognitive decline in later life. While internet use has been proposed as a modifiable protective factor, its moderating role in the ACEs-cognition relationship remains underexplored. Objective: This study examines how internet use moderates the relationship between ACEs and cognitive function in middle-aged and older adults. Methods: Data from the China Health …
Pedagogical partnerships with generative AI in higher education
The rapid integration of generative artificial intelligence (GenAI) into higher education has precipitated a critical tension between the pursuit of efficiency and the imperative for deep, transformative learning. While GenAI offers unprecedented speed in knowledge processing, it raises concerns that efficiency-driven motivations may erode the cognitive struggle essential for intellectual growth. This study investigates how Human-GenAI pedagogica…
A Bi-Level Optimization Method Integrating Evolutionary Game Theory and Deep Reinforcement Learning
Ride-hailing dispatch systems face significant challenges under fluctuating demand and dynamic traffic conditions, where efficient coordination is essential for both platform performance and driver income among large-scale ride-hailing vehicles. This paper constructs a grid-based ride-hailing vehicle dispatch decision model (GRV-DDM), which provides a structured and quantifiable representation of vehicles and orders, effectively capturing spatio-…
Multi-Agent Deep Reinforcement Learning with Contrastive Policy Diversification and Hierarchical Graph Networks for Urban Traffic Signal Control
Multi-Agent Reinforcement Learning (MARL) provides an effective approach for urban multi-intersection traffic signal control. However, existing methods have faced two fundamental challenges, policy homogenization and inefficient credit assignment. The former led to convergent agent policies that failed to adapt to heterogeneous traffic patterns, while the latter prevented agents from accurately evaluating their individual contributions to system …
When machines join the team
Purpose This study examines how artificial intelligence (AI) digital employee integration (AIDEI) influences organizational adaptability (OA) via cross-boundary knowledge sharing (CBKS) and collective psychological safety (CPS), and how polarization about AI-related job displacement (PAIJD) moderates these links. Design/methodology/approach We conducted a multi-method study of 405 banking managers in China, Europe and the United States, plus 36 i…
Digital mentor paradox
Artificial intelligence in urban land use
Urban land use policy increasingly intersects with digital transformation strategies as cities worldwide pursue smart development agendas. This study examines how regional institutional frameworks—encompassing land use regulations, digital economy policies, and urban development priorities—shape the adoption and outcomes of artificial intelligence technologies among urban land users. Focusing on the hospitality sector as intensive urban land occu…
Computer Science (4 works) · Mathematics education (4 works) · Online Learning and Analytics (4 works) · Psychology (4 works) · Structural equation modeling (4 works) · Higher education (3 works) · Knowledge management (3 works) · Social Psychology (3 works) · Anxiety (2 works) · Applied Psychology (2 works)