The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…

Based on the instructional interaction principles outlined by Chen and Wang (2016) in third-generation distance learning, this study employs a recursive logical perspective on the evolution of the theory of interaction in distance education. It constructs a structural equation model to measure the mediating utility path of the learner's proactive…

Blended collaborative learning has emerged as an effective pedagogical model that integrates face-to-face and online learning environments, offering a dynamic platform for deep learning--characterized by critical thinking, knowledge synthesis, and application. However, existing research offers mixed findings on how blended collaborative learning…

Based on the self-determination theory (SDT), this evaluates the effects of generative artificial intelligence (Gen-AI) on learning performance within China's education sector, emphasizing the roles of social interaction, utilitarian benefit, knowledge acquisition, and epistemic curiosity. The study employs a dual method, using PLS-SEM and fsQCA…

This study explores the role of perceived utility, social influence, and ethical concerns in the adoption of AI-based data analysis tools among academic researchers in China, focusing on differences between public and private universities. The research aims to identify key drivers and barriers influencing the integration of AI technology in…

This research delves into the factors that shape Chinese college students' engagement with Generative AI (GenAI) for career exploration purposes, employing the lenses of the Comprehensive Model of Information Seeking (CMIS) and the Technology Acceptance Model (TAM). Utilizing a mixed-methods design, which integrates partial least squares…

This study developed a Metaverse Competency Scale (MCS) to measure users' proficiency in crucial metaverse skills. The scale was built on a thorough literature review covering digital avatars, immersive experiences, and decentralized value exchange. A two-phase questionnaire approach was employed. In the first phase, a pre-test questionnaire,…