Although traditional analytical techniques can characterize learners' internal cognitive abilities laterally and indirectly, it is difficult to present learners' learning development characteristics and changes comprehensively and dynamically. Epistemic network analysis, on the other hand, is an emerging educational research method that integrates…

Eye-tracking procedures generate copious process data that could be valuable in establishing the response processes component of modern validity theory. However, there is a lack of tools for assessing and visualizing response processes using process data such as eye-tracking fixation sequences, especially those suitable for young children. This…

Background: Analysing classroom dialogue is a widely used approach for understanding students' learning, often requiring team-based collaborative research. This presents a challenge for single researchers due to the labour-intensive nature of the process. Emerging advancements in large language models (LLMs) such as ChatGPT, enhance qualitative…

This study examined the effect of gamification on visual programming and computational thinking skills among primary school students, aiming to investigate how gamified learning environments enhance cognitive skill development and conceptual integration compared to traditional teaching methods. A quasi-experimental design was employed, involving…

Academic self-concept (ASC) is a student's self-perceived level of ability in an academic domain and a major factor involved in academic performance. We examined the importance of internal/external sources of evaluation for the structure of L2 and L3 ASCs in two groups of 5th/6th graders learning English and French in Switzerland (mean age: 12.1).…