In the context of global economic digital transformation and technological innovation, the application of AI Technology has a profound impact on corporate innovation and development. Existing research has primarily focused on the direct effect of AI Technology on Corporate Innovation Performance, while there is limited exploration of its interaction with organizational learning mechanisms. Based on the Dynamic Capabilities Theory, this study constructs a framework of “Technology—Individual Learning Capability—Team Learning Capability—Innovation Performance”, analyzing how AI Technology enhances learning capabilities to drive improvements in innovation performance and explores the moderating role of Organizational Learning Capability. Through empirical analysis of data from Specialized, Refined, Unique, and Innovative Enterprises in China, the study finds that AI Technology significantly enhances Corporate Innovation Performance, with Organizational Learning Capability playing a critical moderating role. Additionally, heterogeneity analysis indicates that factors such as production factors, industry characteristics, and firm size significantly influence the effectiveness of AI Technology in enhancing innovation performance. This research reveals the pathway through which AI Technology optimizes organizational learning mechanisms to improve innovation performance, offering both theoretical support and practical guidance for corporate strategic decision-making.

This research is based on structural theory and innovation diffusion theory, exploring the theoretical foundations and influencing factors of urban green innovation to provide theoretical support for the realization of the world’s sustainable development goals (SDGs). By using the methods of Data Envelopment Analysis with Slacks-Based Measure (DEA) non-expected model, Necessary Condition Analysis of Research Methods (NCA), and Fuzzy Set Qualitative Comparative Analysis (fsQCA) in combination, the research analyzes the variables influencing the capability of urban green innovation. The study finds that the level of urban culture and absorptive capacity are necessary conditions for urban green innovation, with urban absorptive capacity having a high level of influence. The main paths for urban green innovation are a comprehensive cultural innovation path, an open cultural inclusion path, an open participation innovation integration path, and an outcome transformation to drive the innovation path. In addition, the research discovered patterns of cultural influence that go beyond institutional and resource-based structural factors, subject action processes, and transformation models guided by absorption and sustainable participation. The research results have important significance for understanding the driving factors and promotion paths of urban green innovation, providing empirical evidence for the realization of the world’s SDGs.

Game-based learning is considered to be an effective way to enhance students' learning participation and has been applied to various learning contexts since its birth. Nowadays, it is getting more popular due to the increasingly advanced application technology and the prevalence of COVID-19 requiring more students to study online. In different countries and regions, a lot of researches have been done on game-based learning for different age groups. However, few studies have focused on how game-based learning online affects college EFL learners' learning effectiveness and learning engagement. This study investigated how Quizizz (a game-based learning application online ) affects college EFL learners' learning effectiveness and learning engagement. This study adopts an explanatory design as a mixed approach, involving a college English teacher and 20 EFL learners from a public comprehensive university in Zhejiang Province, China. Students' test grades (before and after intervention) and semi-structured interviews were collected as the data. According to the quantitative and qualitative data, it was found that Quizizz motivated students' higher learning effectiveness and better learning engagement. Therefore, the game-based learning application Quizizz is worth implementing in EFL contexts for better learning participation and effectiveness.

Simultaneous live classes are a common form of delivery in higher online education, and the study of students' asynchronous interaction behavior patterns of this type of classroom have implications for optimizing subsequent online teaching. This study conducted in-depth interviews with selected students that are studying in Macao's higher education institutions, and coded and analyzed the interview data using the grounded theory in qualitative research. The aim is to understand the characteristics of asynchronous interaction behaviors in college students’ synchronous online classes and discussed the impact on asynchronous interaction patterns of three interaction types ("learner-instructor interaction", "learner-learner interaction", and "learner-content interaction"). This study found that asynchronous interaction promotes the development of critical thinking, metacognitive learning strategies, and deep-thinking skills, and that the synergy of these three components contributes to the effectiveness of students' online learning.