Socially shared regulation in learning (SSRL) contributes to successful collaborative learning (CL). Empirical research into SSRL has received considerable attention recently, with increasingly available multimodal data, advanced learning analytics (LA), and artificial intelligence (AI) providing promising research avenues. Yet, integrating these…

Despite the growing use of large language models (LLMs) in educational contexts, there is no evidence on how these can be operationalized by students to generate custom datasets suitable for teaching and learning. Moreover, in the context of network science, little is known about whether LLMs can replicate real-life network properties. This study…

Simulation games are widely used to teach negotiation skills in political science education. However, existing studies focus on the impact of simulation games on students' knowledge gains and affective changes and largely ignore skill assessment and development in the gaming environment. This study aimed to understand the process of student groups…

Educational research suggests that interactivity is one of the most important tools for learning. This paper analyses the learning process in online communities by examining three types of interactions among learners: (1) interactions involving the active contribution of content ('digitally speaking'); (2) interactions involving the consumption of…

Due to the pandemic, many students have been forced to study remotely. This study aims to investigate the impact of online collaboration scripts on learning outcomes in virtual reality (VR) co-creation learning activities during distance learning. The collaboration scripts were designed to foster students' remote teamwork. The participants…

The growing use of generative AI (GenAI) has sparked discussions regarding integrating these tools into educational settings to enrich the learning experience of teachers and students. Self-regulated learning (SRL) research is pivotal in addressing this inquiry. One prevalent manifestation of GenAI is the large-language model (LLM) chatbot,…

Sentiment evolution is a key component of interactions in blended learning. Although interactions have attracted considerable attention in online learning contexts, there is scant research on examining sentiment evolution over different interactions in blended learning environments. Thus, in this study, sentiment evolution at different interaction…

This study investigated the impact of using a discussion strategy with learning analytics on the level of student cognitive presence and interaction. The study used a quasi-experimental design with control and experimental groups. The experimental group applied open-ended discussion and elaborated feedback with learning analytics while the control…