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Research involving international research communities has been advocated in the field of behavior analysis (Dymond et al., 2000; Martin et al., 2016). The purpose of the present study was to report the status of behavioral research in mainland China, Hong Kong, and Taiwan, in terms of number of publications, types of research, and frequency of collaboration with international researchers. Fifteen behavioral journals were selected from the list by Cooper et al. (2020). These were searched by hand to find publications conducted in or authored by researchers from mainland China, Hong Kong, and Taiwan dating from each journal's inception to December 2021. The earliest publication we found appeared in 1980 in The Psychological Record. Over the following four decades (1980–1989; 1990–1999; 2000–2009; 2010–2021), the number of publications per decade increased dramatically and continues in recent years to rise. Publications include research reports, review papers, and conceptual articles, with the majority being basic research reports published in Behavioral Processes. Approximately half the publications involve collaboration with international researchers, mostly in North America. Implications for behavioral research, practice, and policy in mainland China, Hong Kong, and Taiwan are discussed. [ABSTRACT FROM AUTHOR]

Background: Social network awareness (SNA) enables students to know the online learning context of peers in computer‐supported collaborative learning (CSCL) and it has been used to improve peer interaction and participation in collaborative learning tasks. Mobile learning enables students to access learning content and discuss content with peers regardless of location or time. Because almost every college student has their own mobile device and social networks are ubiquitous in their daily lives, a mobile learning application with social networking is promising for promoting effective learning if students are willing to continually use the application. However, few studies have investigated this. Objectives: In this study, SNA was integrated into a mobile‐based assessment (MBA–SNA). The study investigated whether students were willing to persist in the use of MBA–SNA and the factors influencing this intention. Methods: A 1‐month experiment was conducted to investigate the research question on the basis of the unified theory of acceptance and use of technology (UTAUT). Results: The results demonstrated that (1) students were willing to continue using the MBA–SNA, (2) the incentives influencing behavioural intention (BI) in initial use and continual use differed, and (3) social influence (SI) and perceived playfulness (PP) were the two key determinants of continual use. Implications: The SNA increases the positive impact of SI and PP on MBA continual use so that continual use can be assured. Future research should integrate SNA into other mobile learning apps (e.g., mobile collaborative writing or discussion apps) to enhance continued system use and learning effectiveness. Lay Description: What is already known about this topic: A number of studies have investigated the use of mobile devices to collaborate digitally within small teams and larger classes whilst providing knowledge‐sharing features.Social network awareness (SNA) mechanism can enhance the participation of collaborative learning task and knowledge sharing.However, few research explores the potentials and benefits of the combination of SNA with mobile apps. What this paper adds: This study firstly integrates the SNA into a mobile collaborative APP, namely mobile‐based assessment with SNA (MBA‐SNA).Students are willing to continuously use the MBA‐SNA.The incentive factors influencing behavioural intention at the initial use and continuous use slightly differ.Social influence (SI) and perceived playfulness (PP) are the most crucial determinants to continuous use. Implications for practice and/or policy: It should be investigated whether students are willing to continuously use a new e‐learning system and the factors influencing this intention.SNA increased the effects of SI and PP on MBA continual use, thereby ensuring MBA continual use.Future studies can combine SNA with other mobile learning apps (e.g., mobile collaborative writing or discussion apps) to enhance continued system use and learning effectiveness. [ABSTRACT FROM AUTHOR]

Background: Collaborative computer simulations are available on some online platforms which support students at distributed locations to synchronously collaborate on the simulations to learn sciences. However, how students collaborate with each other in collaborative simulations is not clear. Objectives: The aim of this study was to investigate whether functional interdependency would influence learning. Methods: Two collaborative learning models with different functional interdependencies were examined (the synchronous model and the distributed accountability model). Multiple data sources obtained from 64 students were collected and analyzed. We discuss the collaborative learning with two levels of factors: the individual‐level factors (i.e., individual perceptions of teamwork quality, visual attention and learning performance before and after a simulation activity) and the pair‐level factors (i.e., discourse data and joint attention). Given that the pair‐level factors in the collaborative learning environment may affect the individual‐level factors, we further discuss the interactions of the two levels of factors in different collaborative learning models with hierarchical linear modeling (HLM) analysis. Results and Conclusions: The analytical results of the individual‐level factors found participants in the distributed accountability model demonstrated more frequent and longer attention to the learning activity. Furthermore, the results indicated that the two simulation learning activities would enhance the participants' learning performance except in Q2. For the pair‐level factors, the results demonstrated that the participants in the distributed accountability model showed more active discourse segments but similar joint attention patterns in the learning activity. The results of the HLM analysis indicated that the students in the distributed accountability model had to collaborate with their partners through more constructive dialogue, and focused on the same areas of interest to enhance their learning performance, as the complexity of the distributed accountability design was implemented in a simulation learning activity. Major takeaways: We found that the increase of functional interdependency cannot guarantee students' learning effect in collaborative learning and may hinder the communication that is needed during collaboration. Researcher may need to consider other collaboration tools to enhance the reciprocal reflection. Lay Description: What is already known about this topic: Collaborative simulations are helpful in making the learning process cohesive.The learning effects of functional interdependence in collaborative learning are under debate. What this paper adds: We examined collaborative learning models with different functional interdependencies.We discuss the collaborative learning with the individual‐, the pair‐level factors and their interactions Implications for practice and/or policy: The importance of decreasing cognitive load induced by simulation with high functional interdependency.It is necessary to increase participants' transactive and constructive engagement in collaborative models. [ABSTRACT FROM AUTHOR]